Jobs Data Analyst

This role is for an experienced Product Analyst with a strong background in product analytics, experimentation, and data-driven decision-making. You will be responsible for defining product success metrics, analyzing user behavior and A/B test results, uncovering actionable insights, and collaborating cross-functionally to optimize acquisition, retention, and trading experiences while supporting business growth.
Explore opportunities at JustMarkets and become a part of our team of professionals!

Responsibilities

• Partner with Product Leads (Acquisition, Retention, Trading) to define success metrics and KPIs for new features and product roadmaps
• Design, document, and oversee the implementation of tracking plans (event taxonomy)
• Analyze A/B test results, providing clear recommendations on whether to roll out, iterate, or kill a feature based on statistical evidence
• Create and maintain executive-level dashboards and granular product-level reports
• Conduct complex research (e.g., "How does using the CopyTrading feature in the first 7 days impact 90-day retention?")

Requirements

• 3+ years of experience as a Product Data Analyst, ideally within FinTech, Trading, GameDev, or high-transaction B2C digital products
• Advanced proficiency in SQL (complex joins, window functions, query optimization) and hands-on experience with Data Warehouses (BigQuery, Snowflake, Redshift)
• Strong experience with Product Analytics and event tracking platforms (such as Amplitude, Mixpanel, GA4, Firebase Analytics) as well as BI visualization tools (Tableau, Looker, PowerBI, Superset, or similar)
• Solid understanding of statistics specifically for A/B testing (hypothesis testing, p-values, statistical significance, minimum detectable effect)
• Experience using Python or R (Pandas, SciPy, Jupyter) for deeper statistical analysis, cohort modeling, or predictive analytics
• Proven ability to design and govern product event tracking architecture from scratch

Will be a plus

• Domain knowledge in CFD trading, Crypto exchanges, or traditional brokerage businesses
• Experience with Data Engineering concepts and tools (dbt, Airflow) to build your own data pipelines
• Familiarity with mobile attribution platforms (AppsFlyer, Adjust) and deep-linking analytics

We offer

• 20 paid vacation days per year
• 10 paid sick leave days per year
• Public holidays as per the company’s approved Public holiday list
• Medical insurance
• Opportunity to work remotely
• Professional education budget
• Language learning budget
• Wellness budget (gym membership, sports gear and related expenses)

We are looking for a Marketing Data Analyst to join the Player Lifecycle team. The role covers the full acquisition analytics cycle — from validating and consolidating data from the DB, affiliate platforms, and advertising sources to building dashboards, forecasting ROI, and providing recommendations on budget allocation. The position also serves as a point of connection with the Retention team for end-to-end traffic quality assessment.

Requirements

• 4 years of overall analytics experience, including 1-2 years specifically in marketing analytics; experience in performance/affiliate marketing in a high-traffic vertical
• Strong SQL skills: window functions, CTEs, cohort analysis, working with large datasets, and understanding query costs
• Practical experience with BI tools (Tableau is preferred; Power BI / Looker / Metabase are also acceptable)
• Understanding of acquisition unit economics: CPA, CPL, RevShare, Hybrid, ROI/ROAS, LTV, and payback period
• Understanding of attribution and tracking: UTM, postbacks, attribution windows, multitouch vs. last-click attribution
• Python at an automation level: pandas, API data extraction, reconciliation scripts
• Ability to independently trace data back to its source rather than relying on ready-made data marts
  Nice to Have
• Experience with affiliate platforms (Affilka, Referon)
• Experience with Snowflake, dbt, and Airflow
• Experience with LTV/ROI forecasting, cohort models, and survival analysis
• Experience identifying fraudulent or low-quality traffic: bonus abuse, incentivized traffic, source spoofing
• Experience conducting and correctly interpreting A/B tests
• Experience working with retention data and CRM campaigns
• Experience in a multi-brand environment across multiple geos and currencies

Responsibilities

• Analyze the performance of acquired traffic and marketing campaigns by source, partner, and geo
• Analyze and optimize marketing funnels and identify bottlenecks
• Collect, validate, and consolidate data from multiple sources for reporting; own and maintain metric definitions
• Develop and maintain dashboards for different stakeholders
• Automate data collection and analytical processes, moving manual reporting into automated pipelines
• Generate and validate hypotheses to improve traffic ROI and operational efficiency
• Identify anomalies and conversion issues on a daily basis
• Turn raw data into actionable recommendations for budget allocation and decision-making

What we offer:

• Flexible schedule and freedom to choose your work format: remote or from our offices in Kyiv or Warsaw.
• 24 paid vacation days, sick leave, and medical insurance (already available in Ukraine; other locations -  in progress).
• A team where it’s easy to ask questions, learn, contribute, and be yourself.
• Coverage for professional events, training, and certifications.
• Team buildings, birthday gifts, and a community that truly cares.
• Zero business ties with the aggressor country - and we’re proud of that.

We are looking for an experienced Senior / Lead Data Analytics Manager to build and lead the analytics function for our Cards & Wallets business.

This is a hands-on role for someone who enjoys working with large-scale transactional data, building analytical infrastructure from the ground up, and turning complex datasets into actionable business insights.

You will work closely with Commercial, Finance, Product, and Operations teams, helping them make data-driven decisions through reliable analytics, dashboards, and reporting.

What You'll Do

Build the Analytics Foundation

• Design and build an end-to-end analytics infrastructure for the Cards & Wallets business.
• Design and maintain analytical data models, data marts, and reporting datasets.
• Build and improve the company's analytical Data Lake.
• Ensure data consistency, quality, and reliability across multiple systems.
• Create a unified customer view across different data sources.

Business & Product Analytics

• Analyze large transactional datasets to identify trends, customer behavior, and business opportunities.
• Build customer segmentation, cohort analysis, retention analysis, and LTV models.
• Analyze transaction behavior across products, BINs, merchants, geographies, and customer segments.
• Identify business patterns and proactively suggest improvements based on data.

BI & Dashboards

• Design and develop business dashboards using Tableau, Power BI, Metabase, or similar BI platforms.
• Build dashboards that become daily decision-making tools for Commercial, Finance, Product, and Operations teams.
• Automate recurring reporting and reduce manual reporting efforts.
• Ensure the accuracy and consistency of analytical reports.

Commercial Analytics

• Support pricing analysis and unit economics through data-driven insights.
• Analyze transaction profitability and business performance.
• Build analytical models to evaluate pricing changes and business scenarios.
• Help commercial teams understand customer behavior and revenue opportunities.

Executive Reporting

• Prepare analytical reports for senior management.
• Transform complex data into clear recommendations and actionable insights.
• Work closely with business stakeholders to answer analytical questions and support strategic decisions.

Build the Analytics Function

• Own the analytics function for the Cards & Wallets direction.
• Prioritize analytical requests from different business teams.
• Help define the future BI architecture and analytics processes.
• As the function grows, participate in building and mentoring the analytics team.

Requirements

• 5+ years of experience in Data Analytics, BI, Product Analytics, or Commercial Analytics.
• Strong SQL skills, including: Window Functions, CTEs, Query optimization, Large transactional datasets.
• Experience building analytical data models and data marts from scratch.
• Experience working with Data Warehouses and/or Data Lakes.
• Hands-on experience with Tableau, Power BI, Metabase, or similar BI platforms.
• Experience designing dashboards that are actively used by business teams.
• Strong analytical thinking with the ability to identify patterns, trends, and business opportunities in large datasets.
• Experience automating reporting and improving analytical processes.
• Ability to communicate analytical findings clearly to both technical and non-technical stakeholders.
• B2+ (C1 preferred).

Nice to Have

• Experience in FinTech, Payments, Banking, Card Issuing, Acquiring, PSP, Digital Wallets, or Neobanking.
• Experience working with transaction-level data.
• Understanding of payment flows and transaction lifecycle.
• Experience with pricing analytics, unit economics, or profitability analysis.
• Experience building alerting systems and automated business monitoring.
• Previous leadership or mentoring experience.

Why Join Us?

• Build the analytics function from the ground up.
• Work directly with Commercial, Finance, Product, and executive leadership.
• Own the analytics architecture and influence business decisions.
• Solve complex analytical challenges using real transaction data.
• Grow into the Head of Analytics for the Cards & Wallets business.

Kernel — the world's largest producer and exporter of sunflower oil and a key supplier of agricultural products from the Black Sea region to global markets — is looking for a Financial Modeling Engineer to join our FP&A team.

This role sits at the intersection of financial modeling, FP&A, and AI. You'll own the financial models and forecasts that drive management decision-making, while building the next generation of FP&A processes — where AI handles the routine work, not people.

We're looking for someone who already builds with AI and wants to go further: deepening these skills and applying them at scale in a large business.

What you'll do:

• Develop and maintain financial models forecasting performance across business divisions
• Run scenario analysis and sensitivity testing on key assumptions
• Analyze investment projects and prepare materials for investment decisions
• Build AI-powered solutions (prompts, skills, agents) for FP&A processes — forecasting, scenario modeling, variance analysis, commentary generation
• Turn dashboards and reports into actionable insights for leadership
• Distill large volumes of analytics into decision-ready formats
• Identify manual, repetitive FP&A processes and automate them end-to-end — tracking impact through hours saved, faster reporting, and fewer errors

What we're looking for:

• 3+ years of experience in financial modeling and investment analysis
• Advanced Excel skills — building structured, scalable financial models
• CFA Level 1 (minimum, completed)
• Experience with Power BI and Power Query for data transformation and visualization
• Strong motivation to advance AI adoption in financial modeling and FP&A
• Ability to validate AI-generated outputs for accuracy against source data
• Experience with at least one low-code automation platform (Power Automate, n8n, Zapier)

Nice to have:

• Daily hands-on use of AI assistants (Claude, ChatGPT) in your workflow
• Experience building AI agents or automations deployed in real business processes
• Experience connecting AI to internal systems via MCP
• Background in Big 4, consulting, or investment banking
• CFA Level 2–3 completed

What we offer:

• Official employment
• Competitive salary with regular reviews and clearly defined bonus terms
• Draft exemption (military reservation) for employees
• Free training and professional development
• Downtown office with a shelter
• Medical insurance

#Hiring #FP&A #FinancialModeling #AI #Kernel #JobOpening

Why join us
If you’re looking for a place to grow, make an impact, and work with people who care, we’d love to meet you! :)

About the role
As a Data Steward, you’ll own how product information moves from business teams to market — validating, enriching, and syndicating data through inRiver across every channel it touches. It’s a cross-functional role with real breadth: resolving data gaps at the source, maintaining syndication templates, and keeping product data accurate and channel-ready. For someone who takes pride in data quality and wants visibility across the full product data lifecycle, this is for you.

What you will do
● Validate product data across core systems to ensure completeness and accuracy;
● Upload product data into PIM systems and resolve data gaps with stakeholders;
● Support business teams with product data issues across channels;
● Communicate data requirements to stakeholders to ensure data quality aligned with product launch timelines;
● Create, track, and report on product data and launch status;
● Maintain and reconfigure syndication templates in inRiver.

Must haves
● 3+ years of experience in data management;
● Understanding of data lifecycle;
● Experience using multiple tools for data management and stewardship;
● Experience with inRiver or PIM tools (Salsify, Informatica, Akeneo);
● Experience with PIM syndication for retailers or marketplaces;
● Proficiency in Excel;
● Ability to work under tight deadlines;
● Strong communication skills;
● Fluent English level.

Perks and benefits

● Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps

● Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities

● A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands

● Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office — whatever makes you the happiest and most productive.

Meet Our Recruitment Process

Asynchronous stage — An automated, self-paced track that helps us move faster and give you quicker feedback:

● Short online form to confirm basic requirements
● 30–60 minute skills assessment
● 5-minute introduction video

Synchronous stage — Live interviews

● Technical interview with our engineering team (scheduled at your convenience)
● Final interview with your future teammates

If it’s a match—you’ll get an offer!

We are the creators of a new fintech era!
Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey.
We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA.

The future of Web3 starts with you: join us as a  Investment Research Analyst (Crypto/Web3)!
 

Requirements

• Prior experience at a crypto VC, hedge fund, research firm, investment team, M&A, or corporate development
• Familiarity with legal structures common in crypto: Cayman foundations, BVI holding companies, MiCA compliance
• Experience building financial models: Three-Statement Model, DCF, scenario analysis
• Experience developing scoring or valuation models/frameworks
• Ability to work with large volumes of unstructured information and extract signal quickly
• Comfort with ambiguity — many projects you'll evaluate will have limited public information
• High attention to detail; you'll catch things others miss in whitepapers, vesting schedules, token allocation, and team backgrounds
• Self-directed work style; this role operates with minimal hand-holding
• Strong verbal and written communication skills
• Mandatory language skills: fluent Ukrainian and English at B2+ level or higher
• Strong interest in AI tools and automation: LLMs, AI agents, data enrichment, workflow automation
• Ability to design workflows that reduce manual research and increase analytical throughput

Responsibilities

• Evaluate deal flow: produce project analysis and investment memos for the investment committee
• Build and maintain scoring models for project evaluation: team, tokenomics, traction, competitive positioning, valuation, risks
• Conduct deep-dive due diligence across key dimensions: technology, market, team, tokenomics, legal structure, financials, on-chain metrics, and competitive landscape
• Produce market research reports: TAM/SAM/SOM, competitor matrices, regulatory landscape by jurisdiction
• Track sector trends across DeFi, L1/L2 infrastructure, RWA, and crypto-native fintech
• Monitor and analyze market trends, news, narratives, and events impacting the crypto market and investment opportunities
• Source deals and contacts of interest through ecosystem mapping and network intelligence
• Build and maintain AI-assisted workflows for project analysis and due diligence
• Automate data collection, screening, and initial evaluation of projects
• Use AI tools to enhance research speed and decision-making quality

Would be a plus

• Active presence on Crypto Twitter/X and awareness of current market narratives

• Experience with on-chain analytics tools, crypto data platforms, dashboards, or APIs

  
  What we offer:

Immerse yourself in Crypto & Web3:

— Shape the Future 

— Work on high-impact blockchain products at the forefront of Web3.
— Innovate & Create 

— Your ideas drive real-world solutions and technological breakthroughs.
— Global Reach 

— Build scalable solutions for businesses and users worldwide.
— Web3-Powered Culture 

— A team of visionaries who believe in decentralization and innovation.
Work-Life Balance & Well-being:
— Modern equipment.
— Comfortable working conditions, and an inspiring environment to help you thrive.
— 24 calendar days of paid leave.
— Additional days off for national holidays.

👉 Ready to disrupt the industry with us? Apply now and let’s build the decentralized future together!

Join the Fintech Core team building a white-label modular platform that powers digital banks, payment systems, and fintech products across Europe, North America, and MENA regions
 

As a System/Business Analyst on the Fintech Core project, you will define technical architecture, system specifications, and integration designs for a white-label modular fintech platform that enables rapid creation of digital banking and payment products.
 

The platform provides a complete technology stack including general ledger, middleware, mobile/web applications, and extensive third-party integrations for KYC, payments, card issuance, and compliance. You'll work closely with Business Analysts, Solution Architects, and Engineering teams to translate business requirements into detailed technical specifications, design robust system architectures, and ensure seamless integration across microservices while maintaining regulatory compliance and enterprise-grade security.

This role offers hands-on experience designing financial systems at scale, with exposure to payment processing, card networks, digital wallets, cross-border transactions, and regulatory compliance frameworks serving multiple fintech implementations globally.

Responsibilities

• Analyze and document system requirements for platform modules including payments, card issuance, digital wallets, accounts, ledger management, and compliance systems
• Translate business requirements into detailed technical specifications, API contracts, database schemas, and integration architectures
• Design data models, entity relationships, and data flow diagrams for transactional and financial systems with appropriate normalization and performance considerations
• Define integration patterns and technical specifications for connecting with payment processors, KYC/AML providers, card issuers, and open banking platforms
• Document system behaviors using sequence diagrams, component diagrams, deployment architectures, and API specifications (OpenAPI/Swagger)
• Collaborate with Solution Architects to ensure system designs align with microservices architecture patterns, scalability requirements, and technical best practices
• Define non-functional requirements including performance benchmarks, security controls, data retention policies, and audit trail specifications
• Facilitate technical design workshops with Engineering teams to review system specifications, validate implementation approaches, and identify technical risks
• Create comprehensive system documentation in Confluence covering technical flows, component interactions, message formats, and infrastructure requirements
• Support QA teams by defining system integration test scenarios, technical acceptance criteria, and end-to-end testing strategies
• Analyze system performance bottlenecks and propose optimization solutions for high-throughput financial transaction processing
• Ensure all technical specifications maintain regulatory compliance requirements (PCI DSS, GDPR, PSD2) and financial data security standards
• Maintain traceability between business requirements, system specifications, technical implementations, and test cases
• Participate in sprint planning, technical refinement sessions, and architecture review boards to ensure alignment between product vision and technical execution

Professional skills are required:
 

• 3+ years of experience as System Analyst, Technical Analyst, or similar role in fintech or banking domains
• Strong understanding of financial systems architecture including general ledgers, payment processing, and account management
• Experience with microservices architecture, API design, and distributed systems
• Proficiency in creating technical documentation: system design documents, data flow diagrams, sequence diagrams, ER diagrams
• Knowledge of database design and data modeling for transactional systems
• Understanding of integration patterns, message queues, and event-driven architectures
• Familiarity with payment systems standards (ISO 20022, SWIFT, SEPA, card schemes)
• Experience with API specifications (REST, OpenAPI/Swagger, webhooks)
• Understanding of cloud infrastructure and deployment architectures (AWS, Azure, GCP)
• Knowledge of authentication and authorization mechanisms (OAuth, JWT, API keys)

Technical Skills

• 3+ years of experience as System Analyst, Technical Analyst, or similar role in fintech or banking domains
• Strong understanding of financial systems architecture including general ledgers, payment processing, and account management
• Experience with microservices architecture, API design, and distributed systems
• Proficiency in creating technical documentation: system design documents, data flow diagrams, sequence diagrams, ER diagrams
• Knowledge of database design and data modeling for transactional systems
• Understanding of integration patterns, message queues, and event-driven architectures
• Familiarity with payment systems standards (ISO 20022, SWIFT, SEPA, card schemes)
• Experience with API specifications (REST, OpenAPI/Swagger, webhooks)
• Understanding of cloud infrastructure and deployment architectures (AWS, Azure, GCP)

• Knowledge of authentication and authorization mechanisms (OAuth, JWT, API keys)

   

Domain Knowledge

• Understanding of core banking concepts: accounts, transactions, balances, ledgers, reconciliation
• Knowledge of payment flows: domestic/international transfers, card payments, digital wallets
• Familiarity with KYC/AML processes and regulatory compliance requirements
• Understanding of financial data security standards (PCI DSS, GDPR)
• Experience with fintech product features: onboarding, card issuing, FX, acquiring

Analytical & Documentation Skills

• Excellent analytical thinking and problem-solving abilities
• Strong technical writing skills with attention to detail
• Ability to translate complex business requirements into technical specifications
• Experience with UML, BPMN, or similar modeling notations
• Proficiency with documentation tools (Confluence, Notion, or similar)
• Experience with requirements management and traceability

Skills will be a plus:

• Experience with white-label or multi-tenant system architectures
• Knowledge of blockchain and cryptocurrency integrations
• Familiarity with regulatory frameworks (PSD2, Open Banking, MiFID)
• Experience with performance testing and system optimization
• Understanding of DevOps practices and CI/CD pipelines
• Previous experience with modular platform architecture
• Knowledge of financial compliance and audit requirements
• Experience with data migration and system integration projects
  
  We offer
• 20 billable days off during the first year of cooperation, 25 billable days off from the second year
• Fair and competitive compensation
• Friendly team and enjoyable working environment
• Clearly established business processes
• Regular company updates and Q&A sessions with top management
• Flexible working schedule
• Remote work
• Ability to transfer unused vacation to the next year

RedCore is an international business group that creates technological solutions for digital markets. 

Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies.

Powering Growth from the Core — this is the key mission laid under RedCore’s strong foundation. This is how we consistently stay ahead: by evolving and creating scalable solutions, while remaining committed to open and transparent communication with our partners.

We’re looking for a sharp and driven Product Analyst to join our team!

Requirements:

• 4+ years of experience in product or data analytics;
• Strong experience with data visualization tools (preferably Tableau) — ability to design clear, insightful, and visually appealing dashboards;
• Excellent knowledge of SQL — writing complex queries, optimizing performance, and working with large datasets;
• Understanding of ETL processes and data modeling principles;
• Curiosity and proactive attitude — you love digging into data, finding patterns, and suggesting improvements.

Will be plus

• Experience in iGaming industry.

Responsibilities:

• Build and maintain Tableau dashboards for key product and business metrics (user engagement, retention, conversion, revenue, etc.);
• Write and optimize SQL queries to extract, transform, and structure data from multiple sources;
• Conduct deep-dive product analyses to uncover trends, user behaviors, and growth opportunities;
• Continuously improve data quality, performance of dashboards, and analytical infrastructure.

Our benefits to you:

• Modern corporate equipment based on macOS or Windows and additional equipment are provided;
• Paid vacations, sick leave, personal events days, days off;
• Referral program — enjoy cooperation with your colleagues and get the bonus;
• Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences;
• Rewards program for mentoring and coaching colleagues;
• In-house Travel Service;
• Multiple internal activities;
• Other benefits could be added based on your location.

Are you passionate about cybersecurity research and uncovering sophisticated attack patterns? We are looking for a Threat Research Analyst to join a remote team working on advanced application protection solutions for a global Customer in the cybersecurity domain.

In this role, you will investigate suspicious activity, analyze attack vectors, and help improve detection and blocking mechanisms for modern web applications. You will work with monitoring systems, behavioral analytics, and threat intelligence data to proactively identify emerging threats and strengthen platform security.

We at Sigma Software offer the opportunity to work on impactful security products, collaborate with experienced professionals, and grow your expertise in modern cybersecurity technologies while working remotely within European time zones.

CUSTOMER
Our Customer is a global cybersecurity company delivering comprehensive security solutions for businesses, organizations, and digital ecosystems. Operating across multiple industries, the company focuses on preventing cyber threats, identifying vulnerabilities, and protecting web applications from sophisticated automated attacks. 

PROJECT
The project is focused on building a security platform that safeguards applications from automated attacks and malicious traffic. The Threat Research team investigates emerging attack techniques, analyzes suspicious behavioral patterns, and develops detection and blocking mechanisms to improve overall protection capabilities.

As part of the team, you will work with logs, dashboards, threat intelligence data, and monitoring systems to uncover new attack vectors and enhance application security in real-world environments.

RESPONSIBILITIES:

• Monitor existing threats and investigate suspicious activities using logs, dashboards, and detection systems
• Analyze attack patterns and build detailed threat scenarios based on collected data
• Research and respond to reported threats, Customer escalations, and security incidents
• Improve detection and blocking mechanisms for automated attacks and malicious behaviors
• Analyze intelligence from competitors, public sources, and industry trends to identify emerging threats
• Work with monitoring and analytics tools such as Kibana and Elasticsearch
• Collaborate with engineering and security teams to improve product protection capabilities
• Document findings, attack methodologies, and investigation results

REQUIREMENTS:

• At least 3 years of commercial experience in cybersecurity, threat research, or related areas
• Hands-on experience in cybersecurity, threat detection, security research, threat hunting, anti-bot solutions, fraud and abuse detection, application security, or a closely related security domain.
• Strong understanding of attacker tactics, techniques, and behaviors, including methods used to evade, bypass, or modify attacks to avoid detection.
• Experience investigating suspicious or malicious activities, with a solid understanding of detection, alerting, and blocking mechanisms.
• Strong understanding of web technologies and architecture, including:
  • Client-server architecture
  • HTTP/HTTPS protocols
  • REST APIs and web services
  • Request/response lifecycle
  • Headers, cookies, sessions, and authentication mechanisms
• Understanding of browser technologies and experience investigating:
  • DOM structure and manipulation
  • Browser events
  • XHR and Fetch requests
  • WebSockets
  • Browser APIs
  • Browser security policies and controls
• Ability to read and analyze JavaScript code, identify application behavior, detect suspicious or incorrect logic, and understand potential remediation approaches. Deep JavaScript development expertise is not required.
• Working knowledge of HTML and CSS sufficient to investigate and understand web application behavior.
• Strong practical experience with SQL for data analysis, investigations, and working with large datasets.
• Hands-on experience using Kibana for log analysis, monitoring, and investigations.
• Solid understanding of networking fundamentals, including:
  • TCP/IP
  • DNS
  • VPN technologies
  • Proxies
  • Basic network troubleshooting
• Ability to independently investigate complex technical issues and correlate multiple data points to build a complete attack or incident scenario.
• Experience using AI-powered tools and chatbots for research and technical investigations, including the ability to write effective prompts and interpret results.
• Upper-Intermediate (B2) or higher level of English.

WILL BE A PLUS

• Understanding of Elasticsearch and its ecosystem.
• Python scripting and automation skills.
• Experience developing, analyzing, or investigating crawlers, scrapers, or browser automation tools.
• Experience with deobfuscation and/or reverse engineering techniques.
• Experience investigating bot traffic, automated attacks, scraping activity, credential stuffing, account takeover attempts, abuse, fraud, or similar threats.
• Experience with monitoring, analytics, and observability platforms such as Datadog, Imply, Splunk, Microsoft Sentinel, OpenSearch, or similar tools.

PERSONAL PROFILE

• Strong analytical and investigative mindset
• Attention to detail and ability to identify unusual behavioral patterns
• Curiosity about cybersecurity threats and attacker techniques
• Ability to work independently in a fast-paced environment
• Strong communication and collaboration skills
• Proactive approach to problem-solving and continuous learning

Role Summary

The Inventory & Demand Planning team is hiring a Data Analyst to scale a high-impact analytics roadmap across inventory, in-stock, supply, and forecasting. This role builds and maintains the data foundation that powers decision-making by translating business rules into reliable datasets, automating recurring KPI outputs, and supporting the ABC/XYZ + lifecycle governance framework so leaders and merchants operate from consistent, auditable numbers with minimal manual effort.

This is a hands-on analytics engineering role centered on data pipelines, automation, and metric integrity to enable planning decisions and streamline reporting/governance outputs. The analyst will partner closely with Inventory Planning leadership to implement definitions, validations, and scalable reporting.

What You’ll Work On

· Build and maintain curated BigQuery tables/views that standardize inventory, demand, availability, open POs/in-transit, backorders, and KPI feeds.

· Write clean, performant SQL that powers weekly/monthly reporting and executive dashboards.

· Automate refreshes and reduce manual effort through validations, reconciliations, exception flags, and clear documentation.

· Support ABC/XYZ roadmap execution by producing required inputs/outputs, applying multiplier logic, and keeping the classification pipeline stable and easy to audit.

· Support forecasting improvements using Python (data prep, feature engineering, back-testing, evaluation) and help operationalize outputs into cadence reporting.

· Expand datasets with additional signals where available (promo flags/types, merchandising tags, launch/NPA indicators, traffic/CVR signals, marketing calendar attributes).

· Partner with Merchandising, Marketing Ops, Finance, and BI/IT to align definitions, improve data quality, and drive adoption of standardized metrics.

How Success Will Be Measured

· KPI tables and dashboard feeds refresh reliably with minimal manual intervention.

· Faster turnaround on leadership and merchant requests with consistent, traceable metric logic.

· ABC/XYZ outputs are accurate, on-time, and easy to maintain.

· Forecast inputs improve through better data structure and added business/marketing signals.

· Documentation and change control keep datasets stable as business rules evolve.

Required Qualifications

· 3–5 years in analytics/data roles (retail/e-commerce strongly preferred).

· Strong SQL and hands-on experience with BigQuery (or similar cloud warehouse).

· Working Python proficiency for analysis/automation (pandas/NumPy).

· Experience supporting BI dashboards and recurring reporting.

· Demonstrated ability to validate and reconcile metrics across sources, troubleshoot discrepancies, and document logic clearly.

· Strong problem-solving, attention to detail, and clear communication with business stakeholders.

Preferred Qualifications

· Familiarity with ML/forecasting workflows (feature engineering, evaluation, operationalizing outputs) to support forecasting and driver-based models in partnership with the team.

· Familiarity with Looker/LookML (or similar semantic layers).

· Exposure to dbt and/or orchestration tools (Airflow/Composer or equivalents).

· Comfort with inventory/planning concepts (WOS, aging, availability, lost demand, backorders) and classification/ranking approaches (ABC/XYZ, PFEP).

· Version control (Git) and basic engineering hygiene (testing, documentation, change logs).

Tools / Environment

BigQuery, SQL, Python, Looker, Jira/Confluence (or equivalent), Google Cloud tooling as applicable.

We’re searching for a Data Operations Analyst to join our high-performing team responsible for upholding world-class data quality across our product and analytics environments. Our success—and our ability to innovate—hinges on having clean, reliable data readily available to the entire organization. When data is accurate and trustworthy, we can confidently make decisions, develop cutting-edge AI solutions, and offer unparalleled insights to our customers.

In this role, you will be a data analyst and detective owning the operational heartbeat of our data processes, overseeing recurring processes to uncover potential improvements, collaborating with Engineering and Data Science on solutions, and continuously refining workflows for efficiency and scale. You have a keen eye for detail and are willing to go deep root-causing when the data doesn’t align with expectations. You’ll follow standard operating procedures (SOPs), service-level agreements (SLAs), and other best practices that elevate the team’s performance and ensure seamless cross-functional collaboration.

If you want to help define the next generation of data-powered products in a massive industry, this is the perfect opportunity for you. Expect autonomy in your work, support from a team that values continuous learning, and the chance to directly shape our solutions and strategy.

Project is a leading New York-based data and AI software specializing in the $2.3 trillion dollar building materials industry. Our platform, powered by advanced Machine Learning and Artificial Intelligence, provides manufacturers with a data-driven approach to better service customers and grow their relationships with key accounts. By simplifying massive datasets into actionable business insight, we help businesses make data-driven decisions to optimize pricing, inventory, and product assortment.

Our values
- We value execution: momentum is everything
- Belief in the power of positivity: we are encouraging and take risks
- Proactive ownership: we are passionate about driving financial value with a creative data product
- Foster collaboration: we welcome help and always extend a helping hand, internally and externally

Requirements

- Education: Bachelor's degree in a technical field (e.g., Industrial Engineering, Information Systems) or equivalent practical experience in a data-heavy environment.
- Experience: 1–3 years of experience as a QA Analyst, Data Analyst, or similar role.
- Technical Proficiency: Strong proficiency in SQL and familiarity with data warehousing solutions (e.g., Snowflake, Google BigQuery, ClickHouse).
- Coding: Experience cleaning and normalizing key data sources using SQL and Python.
- Visualization: Experience building and using data visualization tools (e.g. Hex, Preset, Tableau) is a plus.
- Math & Stats: An understanding of statistical measurements of accuracy (e.g., correlation, variance).
- Automation: Experience identifying and executing operational improvements through automation.

Who You Are (Attributes)
- An Owner: You maintain an attitude of ownership of your work and adopt strong organizational skills.
- A Self-Starter: You adopt a self-starter mentality and inspire other team members to do the same.
- A Collaborator: You possess effective communication and collaboration skills, with the ability to work well in a team environment.
- A Clear Communicator: You are adept at clear, concise written and verbal communication, comfortable interacting with both technical and non-technical audiences.
- Resilient: You have the ability to prioritize tasks and manage time effectively in a fast-paced environment.

Responsibilities

- Be the Data Detective: Perform root cause analysis using SQL and Python to uncover nuances and issues with the data, ensuring nothing slips through the cracks.
- Drive Quality Assurance: Conduct QA procedures and regular backtesting processes to pinpoint opportunities for enhancing data accuracy and consistency.
- Engineer Automated Solutions: Identify process improvements through automation and work hand-in-hand with Engineering teams to build automated solutions.
- Optimize Data Pipelines: Clean and normalize key data sources and collaborate with Engineering to refine systems, ensuring data flows smoothly from source to destination.
- Visualize Health: Build data visualizations that support you and your teammates’ day-to-day QA workflows.
Communicate & Align: Communicate updates and progress to Product, Analytics, and other stakeholders, ensuring alignment on priorities and timelines.

Cooperation terms

- B2B cooperation under a Consulting Agreement

- 12 days of Paid Time Off per year

- 5 days of Medical Time Off per year

- 3 paid holidays per year

- Psychologist Consultations for mental well-being

- Professional Development Budget — courses and conferences

- English lessons

We are looking for an experienced Product Analyst with a strong iGaming background to analyze product performance, player behavior, acquisition quality, and key business metrics.

The role requires a strong understanding of both product analytics and affiliate traffic economics within Casino and/or Sportsbook.
 

Responsibilities

• Analyze key iGaming metrics: GGR, NGR, LTV, ARPU, Retention, Churn, Conversion, ROI, Payback
• Analyze player behavior, cohorts, segmentation and lifecycle
• Identify bottlenecks and growth opportunities across the registration → deposit → active player funnel
• Conduct deep-dive product analysis and turn data into actionable business recommendations
• Design, evaluate and interpret A/B tests
• Analyze the impact of product changes, bonuses, promotions and new features
• Build and maintain dashboards and automated reporting
• Analyze affiliate traffic performance by partner, source, GEO and acquisition model
• Evaluate traffic quality based on FTD, Deposits, GGR/NGR, LTV, Retention, ROI and Payback
• Analyze CPA, RevShare and Hybrid acquisition models and partner performance
• Identify high- and low-performing traffic sources and opportunities for optimization and scaling
• Work closely with Product, Affiliate, CRM and Marketing teams

Requirements

• 3+ years of experience in Product / Data Analytics
• Hands-on iGaming / Gambling experience is mandatory
• Strong understanding of Casino and/or Sportsbook products and player behavior
• Strong knowledge of SQL
• Experience with Power BI, Tableau, Looker or similar BI tools
• Strong experience with cohort, funnel, retention and LTV analysis
• Practical experience with A/B testing
• Understanding of iGaming affiliate marketing and traffic economics
• Experience analyzing affiliate traffic and partner performance
• Understanding of CPA, RevShare, Hybrid, CAC, ROI and Payback
• Python for data analysis is a strong advantage
• Ability to translate data into clear conclusions and business recommendations

We Offer

• Competitive salary.
• Fully remote position.
• Flexible working hours.
• Opportunity to work with an international iGaming company operating across multiple markets.
• Professional growth in a fast-paced environment.

Candidates without previous iGaming / Gambling experience will not be considered

We are seeking a highly skilled and experienced BI Developer with Tableau, OMNI and
Looker experience to join our growing team. The ideal candidate will be responsible for
designing, developing, and maintaining interactive and insightful dashboards and reports.
This role requires a strong understanding of data visualization best practices, data modeling,
and business intelligence concepts.

Responsibilities
— Design, develop, and maintain interactive dashboards and reports that meet business
requirements.
— Connect to various data sources, perform data extraction, transformation, and loading ETL
operations.
— Collaborate with stakeholders to understand business needs and translate them into technical
specifications.
— Optimize Tableau dashboards for performance and scalability.
— Develop and enforce data visualization and dashboard design best practices.
— Provide training and support to end-users on Tableau/Looker dashboards and reports.
— Participate in data governance and data quality initiatives.
— Stay up-to-date with the latest Tableau features and industry trends.
— All workflows should be tailored for Agentic Analytics readiness and to be connected and
consumed by AI or through AI.

Requirements
— 3 years of experience as a Tableau BI Developer or with other BI Tools.
— 1 year of experience in mobile application analysis.
— Proven experience in designing and developing complex Tableau dashboards and reports.
— Strong understanding of data warehousing, ETL processes, and data modeling concepts.
— Proficiency in SQL for data querying and manipulation.
— Experience with various data sources, including relational databases, cloud platforms, and flat files.
— Excellent communication, analytical, and problem-solving skills.
— Ability to work independently and as part of a team.

Will be a plus
— Experience with other BI tools (e.g., Looker, Power BI, QlikView).
— Knowledge of scripting languages (e.g., SQL, Python) for data analysis.
— Experience with cloud data platforms (e.g., GCP, BigQuery, Databricks).
— Certification in Tableau Desktop or Server.

About the Client:

Our client is a leading global healthcare organization, driving innovation in pharmaceuticals, biotechnology, and patient-centric solutions. We develop advanced data and analytics solutions that help global organizations turn complex data into intuitive digital tools, enabling teams to make informed decisions in their daily operations and long-term strategy. Our projects span modern operational applications, interactive dashboards, and advanced analytics platforms designed to deliver actionable insights across multiple business domains.

About the Role:

We are looking for a Senior Data Analyst to support a project focused on assessing and building a comprehensive customer universe using data from internal and external sources. The role focuses on data acquisition, validation, matching, and process development — assessing data quality and coverage, matching external data with existing customer/account databases, identifying gaps and duplicates, and developing a structured approach for ongoing data maintenance and improvement. The contractor will work closely with Global Insights, Customer Excellence, and local affiliates to refine processes, support pilot readiness, and translate findings into practical recommendations.

Key Responsibilities:

• Support the execution of a data acquisition and validation POC using external data sources.
• Work with large datasets from internal and external sources, including cleansing, structuring, and validating data.
• Assess match rates, data coverage, duplicates, gaps, inconsistencies, and overall data quality.
• Investigate data discrepancies and identify opportunities for data enrichment and improvement.
• Evaluate external data attributes as potential indicators of customer/account size, activity, or potential.
• Develop and document approaches for customer universe identification, matching, validation, and ongoing maintenance.
• Create clear process documentation and SOPs and identify opportunities for process simplification or automation.
• Support pilot preparation by defining relevant requirements, success metrics, and recommendations.
• Collaborate with business stakeholders and local teams to understand requirements and communicate findings.
• Present analytical findings and practical recommendations to relevant stakeholders.
• Maintain project documentation, trackers, and progress updates.

Required Qualifications:

• 4+ years of experience in Data Analytics, Data Quality, Data Operations, Business Analysis, or a related field.
• Strong hands-on experience working with large and complex datasets.
• Advanced Excel skills and confidence working with large volumes of data.
• Practical experience with data cleansing, validation, matching, and deduplication.
• Experience combining and analyzing data from multiple sources.
• Strong analytical and problem-solving skills, with the ability to investigate data quality issues and identify patterns, gaps, and inconsistencies.
• Ability to independently structure ambiguous problems and develop practical approaches to solving them.
• Ability to translate analytical findings into clear business insights and recommendations.
• Strong attention to detail and data accuracy.
• Good communication and stakeholder management skills.
• Ability to work independently and take ownership of tasks in a fast-moving environment.

Nice to have:

• Experience in healthcare, aesthetics, medical devices, pharmaceuticals, or commercial excellence.
• Experience using external data providers or web-sourced datasets.
• Experience with CRM systems (Veeva CRM, Salesforce, Dynamics, etc.).
• Experience building customer universe or account segmentation approaches.
• Familiarity with data enrichment and data quality methodologies.
• Experience working across international markets.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

RedCore is an international business group that creates technological solutions for digital markets. 

Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies.

Powering Growth from the Core — this is the key mission laid under RedCore’s strong foundation. This is how we consistently stay ahead: by evolving and creating scalable solutions, while remaining committed to open and transparent communication with our partners.

We’re looking for a sharp and driven Senior Data Analyst to join our team!

Requirements:

• 4+ years of experience in product or data analytics;
• Strong experience with data visualization tools (preferably Tableau) — ability to design clear, insightful, and visually appealing dashboards;
• Excellent knowledge of SQL — writing complex queries, optimizing performance, and working with large datasets;
• Understanding of ETL processes and data modeling principles;
• Curiosity and proactive attitude — you love digging into data, finding patterns, and suggesting improvements.

Will be plus

• Experience in iGaming industry.

Responsibilities:

• Build and maintain Tableau dashboards for key product and business metrics (user engagement, retention, conversion, revenue, etc.);
• Write and optimize SQL queries to extract, transform, and structure data from multiple sources;
• Conduct deep-dive product analyses to uncover trends, user behaviors, and growth opportunities;
• Continuously improve data quality, performance of dashboards, and analytical infrastructure.

Our benefits to you:

• Modern corporate equipment based on macOS or Windows and additional equipment are provided;
• Paid vacations, sick leave, personal events days, days off;
• Referral program — enjoy cooperation with your colleagues and get the bonus;
• Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences;
• Rewards program for mentoring and coaching colleagues;
• In-house Travel Service;
• Multiple internal activities;
• Other benefits could be added based on your location.