Data Analyst

HI!

SFORS trades in the global financial markets and are among the key proprietary trading players and pre-market trading leaders.

Our company owes its 20 years of success in the stock market to constantly investing in talent development, trading technologies, progressive risk management models, and effective trading strategies - all of which drive trader success.

SFORS operates exclusively with proprietary funds, without any third-party investments.

We are looking for a Data Analyst to transform raw data into actionable business insights. You will partner with stakeholders to define key metrics, build intuitive dashboards, and perform deep-dive analyses that drive strategic decision-making. You will bridge the gap between complex data structures and business requirements, ensuring data-driven storytelling is accurate, clear, and impactful.

Key Responsibilities:

• Insight Generation: Perform exploratory data analysis to identify trends, anomalies, and opportunities for business growth.

• Dashboarding & Reporting: Design, develop, and maintain automated BI dashboards that provide real-time visibility into KPIs.

• Stakeholder Collaboration: Translate business questions into technical requirements and present findings to non-technical audiences.

• Data Quality & Validation: Partner with Data Engineering to ensure data accuracy and assist in the validation of data models.

Requirements

Core Skills & Technologies:

• Programming & Querying

  • SQL

  • Python is a plus

• Data Visualization & BI

  • Power BI / Tableau / Looker.

  • Semantic Layering: Experience with DAX (Power BI) or LookML (Looker).

  • Storytelling: Ability to visualize data in a way that highlights key takeaways.

• Data Platforms

  • BigQuery / Azure Synapse / Microsoft Fabric.

  • Experience with data modeling using DBT is a plus.

• Data Governance

  • Data documentation and maintenance of the clear definitions in data dictionaries or catalogs.

  • Data Q/A, ensuring data accuracy of data models.

• Statistics and Experimentation (Nice to Have)

  • Hypothesis testing, probability distributions, and regression.

  • Experience with A/B testing and significance testing.

• AI/ML (Nice to Have)

  • Familiarity with predictive analytics and machine learning concepts.

  • Familiarity with Vertex AI or BigQuery ML for simple model deployment.

Language requirements:

• English - Upper-Intermediate or higher

• Ukrainian - Professional fluency (would be an advantage)

What We Offer:

• Competitive salary package

  • Professional growth and learning opportunities

  • Comprehensive private medical insurance, corporate massage therapy, and mental health support (reimbursement for sessions with a psychologist).

  • Free access to corporate sports clubs (padel, yoga, cycling, running, volleyball, swimming) + partial reimbursement for gym memberships, tennis training, and rehabilitation programs.

  • Financial sponsorship for external education and professional certifications, full access to internal learning programs, guest speaker sessions, and a corporate library.

  • A vibrant corporate life with regular social and cultural events, team-building activities, and memorable team gatherings.