Jobs Data Analyst

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

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:
 

• Ability to work with large volumes of unstructured information and extract signal quickly.
• Comfort with ambiguity; many projects may have limited public information.
• High attention to detail, including whitepapers, vesting schedules, token allocation, team backgrounds, and project documentation.
• Self-directed work style with minimal hand-holding.
• Strong verbal and written communication skills.
• Strong understanding of blockchain technology, digital assets, crypto/Web3 markets, tokenomics, and related investment risks.
• Strong interest in AI tools and automation, including LLMs, AI agents, data enrichment, and workflow automation.
• Ability to design workflows that reduce manual research and increase analytical throughput.

• At least 2 years of relevant professional experience.

   

Would be a plus:
 

• Prior experience at a crypto VC, hedge fund, research firm, investment team, M&A, or corporate development.
• Familiarity with legal structures common in crypto and MiCA.
• Experience building financial models, including Three-Statement Models, DCF, or scenario analysis.
• Experience developing scoring or valuation models/frameworks.
• Active awareness of current crypto market narratives.

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

   

Responsibilities:

CURRENT PRIMARY PRIORITY - BUILDER PROGRAM:
 

• Work with the Builder Program project pipeline and analyze incoming projects.
• Ensure assigned projects are processed within the established SLA.
• Conduct initial project evaluation, project analysis, and required due diligence.
• Identify key risks, red flags, strengths, weaknesses, and key arguments required for internal decision-making.
• Maintain analytical quality as project intake and pipeline volume increase.

• Contribute to improving pipeline throughput and analytical processes.

   

GENERAL INVESTMENT RESPONSIBILITIES:
 

• Evaluate deal flow and prepare project analyses and investment memos for internal investment decisions.
• Build and maintain scoring models covering team, tokenomics, traction, competitive positioning, valuation, and risks.
• Conduct deep-dive due diligence across technology, market, team, tokenomics, legal structure, financials, on-chain metrics, and competitive landscape.
• Produce market research, including TAM/SAM/SOM, competitor analysis, and regulatory landscape research.
• Track sector trends across DeFi, L1/L2 infrastructure, RWA, crypto-native fintech, and other relevant Web3 sectors.
• Monitor market trends, news, narratives, and events impacting investment opportunities.
• Source relevant projects and contacts through ecosystem mapping and network intelligence.
• Build and maintain AI-assisted workflows for project analysis and due diligence.
• Automate data collection, screening, and initial project evaluation.

• Use AI tools to improve research speed, pipeline throughput, and decision-making quality.

  
  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!

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 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 Role

We are looking for an experienced Data Analyst to help clients transform complex data into clear insights and actionable business recommendations.

You will work with modern cloud data platforms, primarily Snowflake, analyze large datasets, build dashboards, and collaborate with technical and business stakeholders.

🔑 Responsibilities

- Analyze large datasets using SQL and identify meaningful trends, patterns, and business opportunities.

- Translate business questions into analytical requirements, reports, and measurable metrics.

- Write and optimize complex SQL queries in Snowflake.

- Perform data exploration, profiling, validation, and transformation.

- Build and maintain dashboards and reports using Power BI or Tableau.

- Define and monitor KPIs together with business and product stakeholders.

- Identify data quality issues and collaborate with engineering teams to resolve them.

- Support data modeling and preparation of analytics-ready datasets.

- Clearly communicate findings and recommendations to technical and non-technical stakeholders.

🧩 Requirements

- 5+ years of commercial experience as a Data Analyst, BI Analyst, Product Analyst, or in a similar role.

- Strong SQL skills, including complex queries, joins, window functions, aggregations, and query optimization.

- Practical experience working with Snowflake.

- Experience building dashboards and reports using Power BI or Tableau.

- Strong understanding of data modeling, data warehousing, and analytics-ready datasets.

- Experience working with large and complex datasets.

- Ability to translate business requirements into analytical solutions.

- Strong understanding of data quality, validation, and reconciliation.

- Strong analytical and problem-solving skills.

- Ability to clearly present insights and recommendations to business stakeholders.

- English level: Upper-Intermediate or higher

🧩 Nice to Have

- Experience with ETL or ELT processes and data transformation pipelines.

- Experience with AWS services such as S3, Glue, Athena, or Redshift.

- Experience with dbt or similar data transformation tools.

- Experience with Python for data analysis and automation.

- Experience with dimensional modeling and star schema.

- Familiarity with Git and CI/CD workflows.

- Experience working directly with external clients.

🧩You'll have an opportunity to:

Work with modern cloud data platforms and analytics technologies.

Analyze complex business data and influence data-driven decisions.

Collaborate with international engineering and product teams.

Build dashboards and reporting solutions used by business stakeholders.

Grow your expertise in cloud analytics, BI, and modern data platforms.

Let’s Start With a Hello
We’re looking for a Traffic Analyst who knows how to turn traffic data into clear business decisions. If you enjoy digging into funnels, analyzing user behavior, finding growth opportunities, and understanding what really drives ROI — this role is for you.

Who We Are
We’re an international digital product team working with multiple acquisition channels and markets. Data is at the heart of how we evaluate traffic, optimize marketing performance, and make product decisions.
Our culture?
Fast-moving and performance-focused.
Data-driven and analytical.
Focused on measurable business impact.
Collaborative, transparent, and growth-oriented.

What You’ll Be Doing 

• Analyzing performance across Affiliate, SEO, ASO, PPC, Direct, Email, Push, and other acquisition channels.
• Segmenting traffic by GEO, device, source, and user type.
• Calculating and monitoring key metrics: ROI, CPA, LTV, ARPU, Retention, and others.
• Preparing regular reports on traffic, conversions, and marketing campaign performance.
• Analyzing conversion funnels and identifying growth opportunities.
• Developing hypotheses and evaluating A/B test results.
• Providing data-driven recommendations to marketing and product teams.
• Analyzing user behavior, retention, and churn.
• Measuring the impact of promotions, bonuses, and product changes on business performance.

What Makes You a Great Fit

• 2+ years of experience as a Traffic Analyst / Marketing Analyst / Product Analyst.
• Strong knowledge of Excel / Google Sheets.
• Experience with BI tools such as Power BI, Tableau, Looker Studio, or similar.
• Strong understanding of marketing and product metrics: ROI, CPA, LTV, Retention, Conversion Rate, etc.
• Hands-on experience analyzing paid traffic and conversion funnels.
• Comfortable working with large datasets and analytical reporting.
• Ability to translate data into clear conclusions and actionable recommendations.
• English — Intermediate+.

Bonus Points

• Experience in iGaming, Betting, or Affiliate Marketing.
• Knowledge of SQL.
• Experience with trackers such as Keitaro, Voluum, Binom, or similar.
• Understanding of attribution and web/mobile analytics tools such as GA4, AppsFlyer, Adjust.
• Experience running and analyzing A/B tests.

What’s In It for You

• Cyprus-based candidates are preferred.
• Remote work can be considered for a strong candidate outside Cyprus.
• Opportunity to work with multiple traffic sources and large volumes of performance data.
• Direct impact on marketing efficiency, product decisions, and business growth.
• Close collaboration with marketing and product teams.
• Space to build hypotheses, find growth opportunities, and influence decisions through data.

Let’s Wrap It Up
If you know how to look beyond dashboards, find the story behind the numbers, and turn traffic data into actionable growth opportunities — we’d love to hear from you.

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.

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.
• 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 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

Areon Consulting is looking for an experienced Oracle Data Integration / BI Developer to join our team on a long-term basis.

You will work with Oracle technologies focused on data integration, ETL/ELT, data warehousing and analytics, supporting enterprise-level solutions and large data environments.

Responsibilities

• Develop and maintain data integration processes using Oracle Data Integrator (ODI)
• Design and implement ETL/ELT workflows for enterprise data platforms
• Develop and maintain data mappings, interfaces, packages and scenarios in ODI
• Work with Oracle Database, including SQL, PL/SQL and complex data transformations
• Support and develop reporting and analytics solutions using Oracle Analytics Server (OAS)
• Develop and maintain analytical reports, dashboards and data models
• Investigate and resolve data integration and reporting issues
• Optimize ETL processes and SQL queries for performance
• Work with large volumes of data and complex data structures
• Participate in data warehouse and BI solution development
• Collaborate with business analysts, developers and other technical specialists
• Support existing enterprise solutions and implement new functionality

Requirements

• 3+ years of commercial experience with Oracle technologies
• Strong experience with Oracle Data Integrator (ODI)
• Good knowledge of SQL and PL/SQL
• Experience with ETL/ELT development and data integration
• Strong understanding of relational databases and data modeling
• Experience with Oracle Analytics Server (OAS) or Oracle BI technologies
• Experience working with complex data flows and large datasets
• Good troubleshooting and analytical skills
• Ability to understand and maintain existing enterprise solutions
• English — Intermediate+

Would be a plus

• Experience with Oracle Data Warehouse / DWH
• Knowledge of Oracle Exadata
• Experience with Oracle Business Intelligence (OBIEE / OAS)
• Experience with ODI 12c
• Knowledge of data warehouse concepts and dimensional modeling
• Experience with enterprise integrations and multiple data sources
• Experience with Oracle Cloud technologies
• Java or scripting knowledge

What we offer

• Long-term cooperation with a stable international company
• Opportunity to work on enterprise-level Oracle projects
• Remote work
• Competitive compensation based on experience
• Professional development and challenging technical tasks
• International team and projects

If you have strong experience with Oracle ODI, OAS and Oracle Database and are interested in a long-term opportunity, we would be happy to hear from you.

Our client US based IT product company is looking for Data Analyst (Middle)

Required Skills

- MongoDB  — aggregation pipelines (`$match`, `$group`, `$lookup`, `$unwind`), write complex queries independently

- Dashboards — build end-to-end in Grafana, Metabase, Superset, or Power BI

- REST API / Postman — read Swagger specs, call endpoints, analyze responses

- Docker Compose — spin up a local stack (`docker compose up`, `.env`)

- Basic understanding of AI systems — what LLMs, RAG, and agents are; ability to analyze their behavior from data (response quality, latency, token consumption, anomalies)

 Nice to Have

- PostgreSQL (CTEs, window functions)

- Python / Pandas

- LLM analytics tools — Langfuse, Arize Phoenix (token usage, latency, quality metrics)

- Cybersecurity / DLP / SIEM background

- RAGAS or other LLM evaluation frameworks

Soft Skills (mandatory)

Self-sufficient, accountable, resilient under pressure. Tasks often come without detailed specs — the candidate is expected to navigate ambiguity independently and deliver results.

Сompany is a global #1 Crypto Sportsbook and Casino company with over 30+ years in betting and gaming industry. We create digital experiences where sports, technology, and crypto meet, focusing on fast transactions, high limits, and premium user experience.
With 4,000+ professionals and operations across 15+ countries, Parimatch is a global ecosystem driven by product innovation, advanced technology and customer experience.

Responsibilities:

• Analyze business and product performance across assigned regions.
• Monitor key business and product metrics and identify problems, trends, and growth opportunities.
• Independently conduct analysis, decompose results, and formulate clear, actionable conclusions.
• Work closely with management, present analytical findings, and discuss key business insights.
• Translate data into practical recommendations and next steps for the business.
• Track implementation of agreed actions and assess their impact on business results.
• Build and maintain analytical reports and dashboards in Tableau.
• Work with available data sources to investigate business questions and validate hypotheses.
• Continuously improve analytical approaches, reporting, and understanding of business drivers.
• Develop a deep understanding of the business model, product, key metrics, and factors influencing business performance.

Requirements:

• 2+ years of experience in Business Analytics, Product Analytics, Performance Analytics, or a similar role.
• Strong analytical and critical-thinking skills with the ability to move from data to clear business conclusions and recommendations.
• Confident experience working with BI tools, ideally Tableau.
• Ability to independently extract, validate, structure, and analyze data for business needs.
• Good understanding of business and product metrics and their interdependencies.
• Ability to communicate analytical findings clearly to management and business stakeholders.
• Strong ownership and initiative: willingness to go beyond reporting and actively contribute to business results.
• Ability to work independently in a dynamic environment and manage several analytical tasks simultaneously.

We care about you:

• Vacation: Reset. Recharge. Come back stronger.
• Sick Leave Allowance: Health is power. We designed the system to support you.
• Benefits Model: Your budget, your rules – spend it where it counts. Day one, it’s yours. No waiting, no barriers.
• Training Balance: Learn fast. Grow faster. Upskill, stay ahead, and keep your edge sharp.
• Team Building: Stronger together. We connect, compete, and celebrate – great teams don’t happen by accident.
• Generation Program: Focused on boosting the potential of children within our families.
• Work & Fun Balance: Driven at work, alive beyond it. Events, surprises, and shared moments keep our spirit high and our energy unstoppable.
   

Who We Are:

An international iGaming company specializing in identifying and fostering the growth of high-potential entertainment markets. With 1000+ professionals in 20+ locations, we operate in 10 countries, serving over 300,000 customers.

In this role you will be responsible for: 

Data Loss Prevention (DLP) Management:

• Manage Data Leakage Prevention tool and processes end-to-end.
• Designing, implementing, and supporting new DLP rules.
• Focus on reducing false positives from DLP tools to improve accuracy.
• Monitor the DLP dismissal process and handle custom requests.
• Conduct thorough DLP testing and validation.

Security Control & Risk Management:

• Design, implement, and support robust data security controls.
• Manage data security projects from inception to deployment.
• Performing security assessments (data security perspective) on systems and applications.
• Analyze requests and approving data transfer or critical access based on security policies.
• Create detailed security hardenings guides and provide system configuration requireme

Data Analysis & Reporting:

• Investigate security alerts, logs, and data from SIEM and DLP systems.
• Perform in-depth analysis of large security datasets.
• Develop and maintain key security metrics, perform audits and report for management.

Security Incident Analysis & Response:

• Conducting analysis for data security incidents and providing support for L3 SOC activities.
• Responding to urgent incidents outside working hours as part of an on-call rotation.
• Contribute to incident response by providing rapid data analysis and forensics support.

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.