Jobs Data Analyst

We are seeking a highly skilled and experienced Business Analyst.
 

Payment systems, Crypto, Software development, in particular:

•  Expertise in gathering, analyzing, and documenting business requirements (incl.functional, non-functional);
• Experience in Agile methodology, writing user stories in Jira, building processes/ required flows and diagramming (UML, BPMN etc);
• Experience in preparing functional and detailed system design documents;
• Ability to communicate effectively across multiple levels of the organization, including with leadership;
• Demonstrated leadership, initiative, analytical skills, and sound business acumen, including the ability to understand and analyze recommendations;
• Experience with all phases of testing (i.e., system, integration, user acceptance), including creating use cases, test conditions, and review of output; 
• Must be able to adjust and work effectively in a dynamic, changing environment;
• Provide weekly/daily status updates on services and work completed.

We are looking for talented folks who:

• Want to know why things work the way they do;
• Excel at explaining things with the right amount of detail;
• Are capable communicators with the spoken and written word;
•  Know how to collaborate within a team environment;
•  Are dedicated learners with the ability to use software;
• Are clarifying business ideas and standardizing the software development

process. 

Working conditions:

•  Work schedule from 10:00 to 19:00;
•  Remote work;
• We provide all the necessary tools for your successful and comfortable work;
•  Training at the expense of the company (courses, seminars, new and interesting projects);
• Learning English at the expense of the company;
•  Compensation for coworking place;
•  Ability to switch between projects and try yourself in different roles.
   

We are looking for a skilled FP&A Analyst to join our customers' team.

Key responsibilities

• Ensure data accuracy through validation processes and financial controls
• Manage and analyze usage-based and revenue-sharing (revshare) models
• Review and approve commercial agreements from a financial perspective
• Perform financial forecasting, budgeting, and variance analysis
• Deliver ad hoc analysis to support key business decisions

• Partner with cross-functional stakeholders to align financial insights with company strategy

   

Requirements

• 5+ years of FP&A experience, preferably in a global SaaS company
• Advanced Excel skills, including Power Query (mandatory)
• Advanced SQL (mandatory)
• Strong analytical mindset with exceptional attention to detail
• Proven ability to communicate insights clearly and partner with stakeholders
• Excellent English (written and verbal)

We are looking for a Senior / Lead Data Analytics and Visualization Engineer passionate about data to extend our team of professionals. In this role, you will work with clients from various business domains – Finance, Telecom, Media, Insurance, Oil&Gas, Pharma and others.

The remote option applies only to the Candidates who will be working from any location in Ukraine.

Responsibilities

• Build advanced-level dashboards and reports
• Design and build data models, conduct data preparation and profiling
• Perform detailed analysis of business problems and technical environments
• Manage security and administrate the reporting environment
• Participate in architecture and testing processes to ensure they meet best practice specifications
• Participate in architecture and testing processes to ensure they meet best practice specifications

Requirements

• 5+ years of practical experience with one of the reporting tools – Power BI (preferable)
• Proficiency in Data Analytics and Data Visualization concepts
• Skills in developing reports and dashboards
• Advanced SQL knowledge and background in relational databases such as MS SQL Server, Oracle, MySQL, and PostgreSQL
• Understanding of landing, staging area, data cleansing, data profiling, data security and data architecture concepts (DWH, Data Lake, Delta Lake/Lakehouse, Datamart)
• Familiarity with Cloud technologies (AWS, Azure, GCP, Snowflake)
• Expertise in data products testing
• Ability to work in an agile development environment (SCRUM, Kanban)
• Understanding of CI/CD principles and best practices
• English level – Upper-Intermediate and higher

Outstaff Hiring: Remote – Contract (Full-time, long-term)

About the Role

We’re looking for a Senior Data Analyst to support the enterprise Knowledge Graph initiative.

The project connects large-scale company, individual, and relationship data to support compliance, KYC, credit risk, sanctions screening, beneficial ownership analysis, and corporate structure research.

In this role, you’ll work directly with data engineers, product managers, and analysts to validate data, verify query results, investigate discrepancies, and assess data quality across multiple database technologies.

This is a hands-on role focused on delivering clear evidence, including validated results, documented defects, root-cause analysis, and statistical assessments.

Location: Remote (EU)
Engagement: Full-time, long-term contract
Start Date: ASAP
Language: English
Time Zone: Ability to overlap with Eastern US hours

What You’ll Do

• Validate large datasets loaded into Databricks, PostgreSQL, and graph databases
• Confirm data completeness, accuracy, consistency, and structural integrity
• Compare query results across different database technologies
• Ensure the same queries produce correct and consistent results across platforms
• Identify and investigate data discrepancies and quality issues
• Determine whether issues come from ETL pipelines, schema mapping, source data, or database-specific behaviour
• Develop validation test cases and define expected query results
• Maintain data-quality reports, defect logs, and resolution tracking
• Support the assessment of compliance and business use cases
• Help determine whether each use case requires a graph database or can be handled using a traditional relational database
• Apply statistical methods to assess datasets and benchmark results
• Analyse distributions, variance, outliers, sampling quality, and measurement reliability
• Document findings clearly for engineering and product teams

• Work independently with minimal supervision as part of a cross-functional engineering team

   

Must-Have Requirements

• Strong experience in data analysis, data validation, or data quality roles
• Experience validating large and complex datasets
• Strong SQL skills
• Experience working with PostgreSQL or another relational database
• Ability to identify discrepancies and perform root-cause analysis
• Experience with ETL pipelines and data transformation processes
• Understanding of common data-quality issues during data loading and migration
• Experience working with large-scale datasets where manual validation is not sufficient
• Practical knowledge of statistical analysis, including:
  • Distribution analysis
  • Outlier detection
  • Variance analysis
  • Sampling validation
• Ability to analyse benchmark results and separate real differences from normal performance variation
• Experience working across multiple databases or query technologies
• Experience with Databricks, Spark, Delta Lake, or similar distributed data platforms
• Strong written communication and documentation skills
• Ability to work independently in a remote environment
• Experience working within a cross-functional engineering team

Nice-to-Have

• Hands-on experience with graph databases such as:
  • Neo4j
  • TigerGraph
  • NebulaGraph
  • ArangoDB
  • Apache AGE
• Understanding of graph data models, nodes, edges, and relationship structures
• Experience with Cypher or other graph query languages
• Knowledge of Knowledge Graphs or ontology concepts
• Experience with MongoDB
• Experience with data visualisation or graph analysis tools
• Experience in financial services, compliance, KYC, AML, or risk
• Understanding of beneficial ownership, sanctions screening, PEP data, or corporate ownership structures
• Experience with large company and entity relationship datasets
• Familiarity with Bureau van Dijk, Orbis, or similar data sources

Technical Stack

• Databricks
• PostgreSQL
• SQL
• Spark / Delta Lake
• Neo4j
• TigerGraph
• MongoDB
• Graph databases
• Statistical analysis
• ETL pipelines
• Data validation and quality testing

Soft Skills

• Strong analytical and problem-solving skills
• Excellent attention to detail
• Clear and structured communication
• Ability to explain data issues to technical and non-technical stakeholders
• Independent and proactive working style
• Strong ownership and accountability
• Comfortable working with changing technologies and requirements
• Team-oriented approach

Key Deliverables

• Documented validation test cases and expected results
• Dataset validation reports for each technology
• Cross-platform query comparison results
• Root-cause analysis for identified discrepancies
• Data-quality defect log and resolution tracking
• Statistical analysis of benchmark results
• Analytical support for graph database use-case assessment

About us:
 

BetterMe — a global wellness ecosystem empowering millions to become better — physically, mentally, and emotionally. We build what makes people better and keep challenging ourselves to inspire others.

Your impact:
 

• Primarily work with Marketing team and help to make correct data-informed decisions;
• Automate the management and monitoring of marketing platforms (e.g., campaign status tracking, performance monitoring, budget control, anomaly detection);
• Build scripts and tools to interact with ad platform APIs, streamline routine tasks;
• Create AI-assisted workflows using LLM APIs;
• Develop and support dashboards and reports that provide transparency into campaign performance and business KPIs;
• Contribute to our internal BetterBI system, consolidating marketing, financial, and product data.
• Help design a scalable and maintainable analytics infrastructure and improve internal data workflows.

About you:
 

• 2+ years of experience as a Data Analyst in a product-oriented company;
• Experience working with digital marketing platforms (e.g., Meta Ads, Google Ads, TikTok Ads) via APIs;
• Full proficiency in SQL and Excel;
• Hands-on experience with BI tools and data visualization (e.g., Tableau);
• Confident Python skills for data manipulation and scripting;
• Strong English written/verbal communication skills;
• Analytical mindset; ability to structure information and dive deeper when it is needed;
• Practical experience using ChatGPT, Gemini, or other LLM APIs, with a good grasp of prompt engineering to solve business tasks.

Will be a plus:

• Experience working with product analytics platforms (Amplitude, Firebase, AppsFlyer, etc.);
• Understanding of A/B testing methodologies and experimentation frameworks.

What you get at BetterMe:
 

A mission that inspires. Every line of code, every design, every idea helps millions of people become healthier and more confident.
Trust without micromanagement. You manage your time and make decisions independently. We value outcomes, not online hours.
Growth opportunities. 90% of our leads have grown within the company. There’s space for initiative, new responsibilities, and real career upgrades.
Flexible work format. Choose what works best for you — office, remote, or hybrid.
Wellness in practice. Offline: workouts with professional trainers in our corporate gym, massage, corporate lunches, sports, and team activities — everything you need to recharge and reset together. Online: regular online workouts, partner discounts, and free access to our products.
Health insurance & corporate doctor.
Open communication. Transparency across teams, honest feedback, and support for initiatives are part of our everyday culture.
Support for sports events. We cover entry fees and encourage the team to compete and participate together.
Modern equipment. We provide new hardware and everything you need for productive work.
Legal & finance support. Experienced lawyers and financial specialists are always there to help — from documents to personal consultations.
An ambitious environment that gets recognized. Over the past two years, the BetterMe team has doubled in size, and we were named among Forbes’ Top 10 Best Places to Work in 2026.

Find more about us on social media platforms: Instagram, LinkedIn.

ICONIC21 is expanding its Risk & Fraud team and is looking for a Junior Risk & Fraud Analyst.

We develop innovative solutions for the Live Casino industry and are looking for a motivated specialist who wants to grow in the fields of analytics, antifraud, and user behavior analysis.

In this role, you will participate in fraud investigations, analyze game mechanics and player activity, detect suspicious behavior patterns, and contribute to the improvement of existing antifraud solutions and monitoring systems.

Requirements
 

• Higher education in mathematics, statistics, computer science, or another technical field.
• Strong Microsoft Excel skills.
• Intermediate level of English.
• Analytical mindset and attention to detail.
• Ability to work with large volumes of data.
• Basic programming skills (Python/R would be a plus).
• Basic SQL knowledge.

Responsibilities
• Analyze game mechanics and user behavior. 
• Detect suspicious and anomalous patterns. 
• Participate in the automation of monitoring and analytical processes. 
• Perform statistical checks and data analysis. 
• Prepare reports and visualizations for internal teams. 

Nice to have
 

• Experience in the iGaming industry.
• Knowledge of fraud detection methodologies and risk analysis principles.
• Understanding of RTP, GGR, player behavior analysis, or anomaly detection.
• Interest in cybersecurity, integrity, and antifraud systems.
• Experience in data analysis or fraud detection would be an advantage

Working conditions
- Full-time, office-based position in Kyiv
- Night shifts only (schedule provided upon request)
- Includes weekends and public holidays on a rotating basis

• 21 working days of paid vacation per year.
• 21 working days of paid vacation per year.
• 15 paid sick days per year.
• Flexible working hours.
• Opportunity to grow in the Risk & Fraud field within an international iGaming company.
• Work in a team that values initiative, analytical thinking, and new ideas.
• Supportive and dynamic international environment.

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 Product Analyst!

Requirements

— 5+ years in product analytics, preferably in fintech, payments, or banking products;
— Advanced SQL skills; confident working with large raw datasets from backend sources;
— Hands-on experience with PostHog — event tracking, funnel and retention analysis, feature flags analytics;
— Proficiency in Tableau — building production-grade dashboards consumed by non-technical stakeholders;
— Experience with BigQuery / Snowflake / Redshift as primary data warehouse;
— Working knowledge of dbt — understanding models, lineage, and writing/modifying transformations;
— Python / pandas for data wrangling, ad-hoc analysis, and automation of repetitive analytical tasks;
— Solid understanding of payments flows (authorization, settlement, chargebacks), conversion funnels, cohort analysis, and fraud/risk metrics;
— Ability to independently scope analytical requests, challenge vague questions, and deliver structured insigh — not just charts;
— Experience working in cross-functional teams with Product, Growth, and Risk stakeholders;
— English B2+ for documentation and async communication;

Responsibilities

◇ Analytics delivery:
— Own end-to-end analytics across user funnels, payments, risk & fraud, and growth - from request intake to insight delivery;
— Answer complex business questions using SQL queries against BigQuery/Snowflake/Redshift, dbt models, and PostHog event data;
— Build and maintain Tableau dashboards actively used by Product, Growth, and Risk teams;
— Conduct funnel, cohort, retention, and segmentation analysis to support product decisions;

◇ Collaboration:
— Work closely with Product Managers to define metrics, instrument new features in PostHog, and evaluate product performance post-release;
— Partner with the Growth & Marketing team on acquisition funnel analysis, campaign attribution, and conversion optimization;
— Support the Risk & Fraud team with behavioral pattern analysis, anomaly detection, and monitoring of fraud signals;
— Align with backend engineers on data availability, event schemas, and data quality issuesp;

◇ Proactive & structural work:
— Audit current analytical coverage and identify gaps in instrumentation or reporting;
— Propose and implement automation and self-serve solutions to reduce the volume of repetitive ad-hoc requests;
— Contribute to dbt models - write new transformations and improve existing ones as needed;
— Document analytical approaches, metric definitions, and dashboard logic to build team knowledge base;

Good to have

— Prior experience in a high-request-volume environment with a structured intake process;
— Exposure to fraud detection models or risk scoring logic;
— Experience building self-serve analytics layers to reduce ad-hoc load;

Work conditions

— Master cutting-edge technologies and become an expert in the most innovative industry;
— Work with the Fintech of the Future: develop your skills in digital finance and shape the global market;
— Take Your Professionalism to the Next Level: gain unique experience and be part of global transformations;
— Drive Innovations: influence the industry and contribute to groundbreaking solutions;
— Join a Strong Team: collaborate with top experts worldwide and grow alongside the best;

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.

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(part-time) who will build Dripify's marketing attribution and reporting. You will be the architect of how we understand marketing performance commercially: which channels drive revenue, which content converts to paid customers, and where our acquisition spend is actually working.Once the foundation is solid, the scope grows - this engagement starts fractional and is designed to evolve into a full-time role.

Requirements:

• 3+ years as a marketing or data analyst;
• Familiarity with the modern data stack:warehouse (BigQuery/Snowflake/Redshift), ELT (Fivetran / Airbyte), transformation layer (dbt);
• Proven ability to build a marketing attribution model from the ground up - you've connected multi-touch data to actual revenue outcomes before;
• Experience building a BI/visualization layer from raw data (Looker Studio, Tableau, or similar);
• Solid grasp of B2B SaaS funnel mechanics: trial-to-paid conversion, CAC, LTV, MRR attribution;
• You understand what the numbers mean commercially, not just technically.

Nice to have:

• Experience connecting content performance to revenue - article or page-level attribution, mapping organic content consumption to downstream paid conversions;
• Experience with affiliate tracking platforms (Impact, PartnerStack, etc.);
• Еxperience with GA4.

Responsibilities:

• Audit the current GA4 and BigQuery setup: identify tracking gaps, attribution gaps, and data quality issues;
• Design and document the event taxonomy, tracking plan, and naming conventions aligned to real business questions;
• Implement a cross-channel attribution model that connects marketing touchpoints (organic, paid, affiliate, content, email) to trial starts and paid conversions;
• Implement and document the full data model;
• Design and build dashboards that give a clear, consistent view of marketing performance;
• Build channel-level performance views for organic, PPC, affiliates, content, and email, each showing contribution to pipeline and paid revenue, not just traffic;
• Build a content performance dashboard with article-level data including visits, trial starts, and MRR contribution;
• Build a top-of-funnel to revenue waterfall: traffic → trial → paid conversion by source;
• Deliver regular reporting: weekly channel snapshots and monthly marketing performance reviews;
• Conduct campaign and experiment analysis to measure the impact of launches, tests, and budget changes;
• Generate proactive insights: flag anomalies, identify growth opportunities, and support quarterly OKR tracking.

Hiring process:

✅ Interview with Talent Acquisition Specialist — ✅ Final Interview with CMO & Engineering Manager — ✅ Reference Check — ✅ Offer 🎉

Work setup:  Fully remote

Engagement:  Project-based, ~6 months, with likely extension depending on business needs

Role summary

We are looking for a senior data / analytics engineer specialising in Looker (LookML) to lead the modelling and presentation layer that turns raw Google Cloud data into governed, self-service insight for our clients.

The heart of the role is running a complex, multi-tenant Looker environment. You will maintain a LookML layer that uses dynamic properties and user attributes to route each user to their own BigQuery dataset — keeping this shared "single model, many tenants" architecture secure, scalable and fast.

Required skills & experience

• Looker / LookML — expert-level: building complex models and managing Looker instances.
• Version control — managing branches and repositories for models, dashboards and metrics.
• Advanced SQL — strong command of SQL for Google BigQuery, including window functions and nested / repeated fields.
• Multi-tenancy — managing data access and security filtering for multiple external clients within a single BI platform.
• Data governance — using Liquid variables and user attributes in Looker to drive dynamic, context-specific content.
• User administration — managing Looker groups, roles and users, including custom attributes per user.
• GCP — a general understanding of Google Cloud resource structures, enough to interpret the incoming data correctly.

Experience requirements

• 3+ years working with LookML.
• 5+ years working with SQL.
• 3+ years working with Google Cloud Platform (GCP).
• 4+ years working with Google BigQuery.

About N5Deal

N5Deal is the first and largest M&A platform built specifically for the financial sector, connecting verified buyers, sellers, and brokers to trade licensed financial institutions — banks, EMIs, PSPs, MSOs, and crypto/stablecoin providers — across dozens of countries. We replace slow, consultant-driven M&A processes with a transparent digital marketplace, backed by AI-powered matching, KYF (Know-Your-Fintech) intelligence, and a growing network of broker and referral partners who source and close deals alongside our team.

The Role

We're hiring a Partnership Analytics Analyst to own the data behind our broker and partner network. You'll track how partners source and close deals, measure the health of our AI-driven deal-matching pipeline, and turn raw marketplace data into reporting the Partnerships and leadership teams can act on. A core part of this role is using Claude and Claude Code to build automations, scripts, and lightweight internal tools — we want someone who treats AI-assisted coding as a standard part of the analytics toolkit, not a novelty.

What You'll Do

• Build and maintain dashboards and recurring reports tracking partner/broker performance: referrals, deal flow, conversion rates, and closed deal value.
• Analyze marketplace data across listed assets (banks, EMIs, PSPs, MSOs, crypto licenses) to surface trends in demand, pricing, and conversion by jurisdiction and license type.
• Monitor the performance of the AI Matching engine that connects buyers and sellers, and partner with Product/Engineering on improving match quality.
• Use Claude Code to build internal automation scripts, data pipelines, and self-serve reporting tools that cut down manual analysis work.
• Work with the Partnerships team to score and evaluate broker/partner performance, informing decisions on which relationships to expand, renegotiate, or wind down.
• Track and reconcile partner referral and commission data across CRM, deal-pipeline, and finance systems.
• Produce recurring (weekly/monthly) reporting on deal flow, partner contribution, and overall marketplace KPIs for leadership.
• Field ad hoc data requests from Partnerships, Sales, and Leadership, translating raw platform data into clear, actionable insight.
• Identify data-quality issues in the CRM/deal pipeline and work with Engineering to resolve them at the source.
• Document and productionize analytics workflows so Partnerships and Finance can increasingly self-serve.

What We're Looking For

• 2-4+ years of experience in a data, business, or partnerships analytics role — ideally within fintech, marketplaces, or M&A/deal-flow environments.
• Hands-on experience using Claude Code (or a comparable AI coding agent) to build scripts, automate reporting, or ship small internal tools. This is a core, not optional, part of the role.
• Strong SQL skills and fluency in spreadsheet-based analysis (Excel/Google Sheets).
• Experience building dashboards/reports with tools such as Looker, Metabase, or Google Data Studio.
• Comfortable working with CRM and deal-pipeline data (e.g., HubSpot, Salesforce, Pipedrive, or similar).
• Sharp attention to detail and comfort reconciling data across multiple systems.
• Excellent written English and the ability to translate data into clear narratives for non-technical stakeholders.
• Comfortable operating in a fast-paced, remote-first startup environment with evolving processes.

Nice to Have

• Familiarity with fintech licensing and M&A concepts (EMI, PSP, MSO, banking licenses).
• Python scripting experience for data automation beyond Claude Code-assisted workflows.
• Prior experience working with broker, affiliate, or partner referral networks.

We are looking for a Integration Manager to join a project focused on AI-powered pricing solutions for enterprise retail businesses. In this role, you will drive customer integrations, support data quality processes, and help build scalable onboarding and integration workflows.

You will work closely with Customer IT and business stakeholders, external integration partners, and internal teams to ensure seamless platform adoption and reliable integration performance. This position is a great fit for specialists who enjoy solving data challenges while balancing technical and business communication.

We at Sigma Software offer the opportunity to work on impactful international projects, collaborate with experienced professionals, and contribute to modern data-driven solutions used by global retailers.

CUSTOMER

Our Customer is a leading retail technology company specializing in AI-driven pricing optimization solutions for enterprise retailers. The company helps businesses improve profitability and competitiveness through advanced analytics, automation, and data-informed pricing strategies. Their platform combines business intelligence with sophisticated algorithms to support smarter pricing decisions at scale.

PROJECT

The project focuses on implementing and optimizing a modern pricing platform for large-scale retail organizations. As an Integration Engineer, you will support Customer onboarding, ensure reliable and scalable integrations, and contribute to seamless platform adoption. The role involves close collaboration with Customer IT and business teams, external partners, and internal stakeholders in an international environment.

Job Description

• Lead end-to-end technical integrations between the platform and Customer systems
• Coordinate onboarding activities and support successful Customer adoption
• Support, maintain, and optimize integrations for existing enterprise Customers
• Ensure reliability, consistency, and quality of integrated data flows
• Translate business requirements into technical integration solutions
• Collaborate directly with Customer IT and business stakeholders
• Coordinate external integration vendors and contractors during implementation activities
• Identify and resolve integration and data-related issues
• Contribute to scalable and repeatable integration processes and best practices
• Participate in Customer workshops, technical discussions, and solution presentations

Qualifications

• 3+ years of commercial experience in integration, data engineering, or related roles
• Strong SQL skills
• Upper-Intermediate or higher English level
• Experience translating business requirements into technical solutions
• Understanding of data integration concepts and enterprise system integrations
• Strong analytical thinking and problem-solving skills
• Excellent communication and presentation abilities
• Experience working directly with Customers and stakeholders
• Ability to work independently with minimal supervision
• Strong attention to detail and fast-learning mindset

WILL BE A PLUS:

• Basic Python knowledge
• Experience with Apache Airflow
• Understanding of ETL processes and data integration best practices
• Experience working on retail industry projects
• Experience supporting enterprise-level Customer

We are looking for Business Analyst to develop and support Big Data solutions used across multiple business units. In this role, you will focus on structuring business needs, defining data logic and ensuring solutions are clearly specified for implementation. The position combines analytical work, data solution design and cross-team collaboration in a large-scale telecom environment.

Responsibilities
•    Collect, analyze and formalize business requirements from internal teams
•    Translate business needs into structured documentation, data logic and functional specifications
•    Design analytical solutions such as triggers, batch processes, dashboards and data funnels
•    Define data mappings, transformation rules and end-to-end processing flows
•    Build, aggregate and validate datasets from multiple internal and external sources
•    Support development teams by clarifying requirements, logic and acceptance criteria
•    Maintain structured product documentation, PRDs and user stories
•    Participate in solution discussions to ensure feasibility, clarity and consistency of implementation
•    Provide visibility on analysis progress and document agreed decisions and assumptions
•    Contribute to improving analysis practices, documentation quality and internal knowledge sharing

Requirements
•    2+ years of experience in Business Analysis, Data Analysis, Data Engineering or a similar role
•    Strong analytical thinking and ability to structure complex business requests
•    Proven experience writing clear functional and technical documentation
•    Solid SQL skills and experience working with large datasets and ETL processes
•    Experience working with Big Data platforms such as Apache Hadoop, Amazon Web Services, Microsoft Azure or similar environments
•    Familiarity with streaming or pipeline tools such as Apache Kafka is an advantage
•    Understanding of data structures, processing logic and system integration principles
•    Experience working with multiple teams in complex corporate environments
•    Telecom domain knowledge is a plus

We offer
•    Work on large-scale data solutions with real operational usage
•    Remote-friendly work format with flexible hours
•    Competitive salary and annual performance bonus
•    Paid vacation and sick leave
•    Medical and life insurance
•    Professional development and career growth opportunities
•    Supportive, expert-level team environment

We are looking for a proactive Lead Product Analyst to join Dripify (🔗 dripify.com) - a B2B SaaS platform that helps sales, recruitment, marketing teams and founders automate and scale LinkedIn outreach.

Our product enables businesses to generate leads, build meaningful professional relationships, and create predictable pipeline through smart prospecting workflows and automation.

In this role you will build the analytics function from zero, owning everything from event taxonomy and tracking plan to the warehouse architecture and the Tableau dashboards the product team checks every morning.

You will be a true partner to the product team: co-author of product decisions, not a ticket-executor. You will shape hypotheses, run experiments, find the Aha Moments for different user segments, and ensure that every roadmap decision is grounded in data.

Requirements:

• 5+ years as a product / data analyst, including 3+ years in B2B SaaS
• Expert-level Amplitude, including hands-on implementation from scratch (event taxonomy, tracking plan, QA), not just using a pre-configured instance
• Expert-level Tableau, complex dashboards, LOD expressions, performance optimization, dashboard design for non-technical stakeholders
• Expert SQL, complex queries, window functions, data modeling for analytics use cases
• Proven experience building product analytics from zero: tracking plan, event taxonomy, naming conventions, data architecture
• Deep understanding of SaaS / PLG metrics: MRR, ARR, NRR, GRR, cohort retention, LTV, CAC, payback period, activation rate, expansion revenue
• Hands-on A/B testing experience: hypothesis design, power calculation, statistical significance, post-launch impact analysis
• Familiarity with the modern data stack: warehouse (BigQuery/Snowflake/Redshift), ELT (Fivetran / Airbyte), transformation layer (dbt)
• English: Upper-Intermediate or higher (written and spoken)

Strongly preferred:

• Experience in a PLG product with a self-serve trial model
• Python for deeper analysis, automation, and statistical work
• Hands-on with FastSpring or similar merchant of record platforms: subscriptions, MRR movements, refunds, failed payments
• Experience selecting and implementing an analytics stack end-to-end
• Familiarity with the sales-tech/outreach/LinkedIn automation space

Responsibilities:

• Design and document event tracking structure, tracking plan, and naming conventions aligned to real business questions
• Implement Amplitude from scratch, spec requirements with engineering, QA events, configure charts and dashboards
• Design and build the data pipeline: product events + backend DB + payment system -> warehouse -> Tableau
• Make foundational decisions on the full analytics stack (warehouse, ELT, transformation layer) with full ownership
• Become a true partner to the product owners, co-author of product decisions, not a ticket-executor
• Participate in discovery: shape hypotheses, design experiments, identify user segments' Aha Moments
• Run end-to-end A/B testing: hypothesis, sample sizing, statistical significance, post-launch impact analysis
• Inform roadmap prioritization with data; push back when the data says otherwise
• Identify the Aha Moment for different segments: sales reps, recruiters, agencies
• North Star metric + supporting KPIs dashboard
• Funnel analytics: registration -> activation -> trial -> paid -> retention -> expansion
• User Base Overview and Account Base Overview with drill-down by status and company
• Activation flow with step-by-step drop-off and time-on-step visualization
• Cohort retention, feature adoption, MRR movement (new/expansion/churn/contraction/reactivation)
• Build dashboards across the full customer lifecycle, from acquisition and activation to retention, expansion, and churn
• Build the analytics workflow: how requests come in, how insights flow back, how they feed into roadmap
• Create and maintain a metrics dictionary, data definitions, and ownership documentation
• Drive a self-serve culture, enable PMs to pull their own data without analyst bottlenecks

Work conditions:

• 100% remote position, providing flexibility and work-life balance.
• Competitive salary reflecting your skills and expertise
• 24 days of paid vacation per year to recharge and relax
• 10 days of paid sick leave
• Educational opportunities
• Compensation budget for medical and hobby/sport expenses.
• Generous budget for birthdays and anniversaries
• Online and offline team events
• A collaborative and innovative work environment with passionate team members
•  

Hiring process:

✅ Interview with Recruiter — ✅ Test Assignment — ✅ Final Interview with Head of Product and Operations — ✅ Reference Check — ✅ Offer 🎉

Emerise Group is a dynamic, product-driven company operating in the iGaming industry, focused on building high-impact solutions that fuel innovation and deliver outstanding user experiences across the entertainment ecosystem. The team is looking for a Data Analyst with strong analytical thinking who can turn data into clear insights and support business decisions. The role focuses on building reports, analyzing marketing performance, and identifying opportunities for growth and optimization.
 

Requirements:

• 2+ years of experience as a Data Analyst / Marketing Data Analyst in a digital, performance marketing, affiliate, or iGaming company.
• Hands-on experience with BI tools (Tableau, Power BI, Looker Studio, or similar).
• Experience analyzing marketing traffic sources (PPC, SEO, CPA networks, etc.).
• Strong understanding of performance marketing metrics: ROI, LTV, Retention, Churn, ARPPU, MAU/DAU, and conversion funnels.
• Ability to work with Google Sheets / Excel at an advanced level.
• Analytical thinking and ability to transform business questions into data-driven insights.
• Understanding of attribution models and affiliate/media buying analytics.

Tech Stack:

• Tableau, Google Sheets, Python, SQL, Big Query.

Desired / Preferred Skills:

• Experience in iGaming, fintech, betting, or other high-volume transactional businesses.
• Experience with A/B test analysis and basic statistics.
• Familiarity with ETL/ELT tools (Pentaho, Airflow, dbt, or similar).
• Experience working with product analytics tools (GA4, Adjust, AppsFlyer, Amplitude, Mixpanel, etc.).

Expected Duties / Responsibilities:

• Build and maintain dashboards, reports, and self-service analytics for marketing and management teams.
• Prepare ad-hoc analyses and provide actionable recommendations to stakeholders.
• Translate business questions into analytical tasks, define requirements, prioritize requests, and coordinate execution with the external analytics/data team.
• Analyze acquisition performance across all traffic channels and identify opportunities for scaling profitable traffic.
• Investigate anomalies in marketing and product metrics and identify root causes.
• Document analytical logic, KPI definitions, and reporting methodologies for internal knowledge sharing.
   

Selling Points:

• Remote-First Work Model: we offer a fully remote work environment, providing you with the flexibility to work from any location worldwide while maintaining high productivity and work-life balance.
• Growth-Oriented Environment: join a fast-growing business operating in a startup-driven environment with minimal bureaucracy. We value efficiency, ownership, and the ability to make decisions quickly.
• Opportunity to drive data-driven decisions at scale: you will own reporting and analytics, turning complex data into actionable insights that directly influence marketing performance, product decisions, and business growth.
• Collaborative and Transparent Culture: we foster a professional, respectful, and open working culture where teamwork, accountability, and clear communication are core values.