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Data Analyst

Sombra
company:Product
sqlpower bidaxpythonapache sparkmicrosoft fabricazure synapseazure data factorydatabricks
mlflowmachine learning
semantic dedup

Reposted 2× across DOU — deduped to one listing.

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experience3+ years
domainFintech
locationUkraine (Kyiv, Lviv, Ivano-Frankivsk)
> full description

We are looking for a Middle Data Analyst to join a FinTech product focused on proprietary trading and trader funding. In this role, you will help build scalable reporting structures, develop business-critical dashboards, and streamline data workflows within a modern cloud data platform. The environment is highly data-intensive, processing millions of real-time events and supporting decision-making through reliable analytics, semantic models, and automated data pipelines.

Required for this role

  • 3–5 years of commercial experience in Business Intelligence, Data Analytics, or a related field
  • Strong proficiency in SQL, including complex queries, CTEs, window functions, query optimization, and performance tuning
  • Hands-on experience with Power BI, including dashboard development, semantic modeling, and DAX
  • Practical experience with Python and/or PySpark for data processing, automation, API integrations, and scripting
  • Solid understanding of data modeling principles, including star schema, snowflake schema, grain definition, and scalable reporting design
  • Experience working with Microsoft Fabric or comparable solutions such as Azure Synapse, Azure Data Factory, or Databricks
  • Experience integrating data from APIs, webhooks, and third-party SaaS platforms
  • Ability to translate business requirements into technical solutions and analytical models
  • Strong attention to data quality, consistency, and maintainable analytical solutions

Nice to have

  • Experience in capital markets, futures trading, proprietary trading firms, or brokerage operations
  • Understanding of financial concepts such as drawdowns, leverage, volatility, and liquidation
  • Experience working with financial time-series datasets
  • Interest in machine learning use cases such as forecasting, anomaly detection, and churn prediction, with openness to tools like AutoML and MLflow

Your responsibilities

  • Design, develop, and maintain Power BI dashboards and reports that support business and operational decision-making
  • Write, optimize, and maintain complex SQL queries and Python/PySpark scripts for data processing and automation
  • Build and improve scalable data models and semantic layers within Power BI and Microsoft Fabric
  • Integrate data from multiple sources, including APIs, webhooks, and external SaaS platforms
  • Collaborate with stakeholders to gather requirements and translate business needs into analytical solutions
  • Define and maintain accurate data grain and reporting structures across analytical assets
  • Ensure data accuracy, consistency, and quality across reports, dashboards, and datasets
  • Contribute to the improvement of reporting workflows and data delivery processes

What you get

Your time off

  • 18 paid vacation days and 10 paid sick days annually
  • 10 Ukrainian public holidays
  • Maternity and paternity leaves
  • Marriage and Parenthood Package
  • Additional leave for major life events
  • Sabbatical leave opportunities

Learning & growth

  • Sombra University workshops and internal learning programs
  • Tech Communities and knowledge sharing sessions
  • Language courses and workshops
  • Mentorship opportunities

Health & well-being

  • Sports compensation or health insurance coverage
  • Participation in races and marathons
  • Corporate doctor (telemedicine)
  • Well-being initiatives and workshops

And even more

  • Company-provided technical equipment
  • PE administration and tax support
  • Internal referral program
  • IT Club loyalty program
  • Company events and volunteering initiatives

Before you apply

Our recruitment team will carefully review your profile, and if we see a good match with the role, we’ll reach out to you shortly.

If you don’t hear from us within 5 business days, it means we’ve decided to continue the process with other candidates for this position. Thanks for understanding.

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