Data Analyst/ Big Data Consultant

About Fulcrum: We're a team of tech-savvy, creative & passionate IT professionals. We've created a vibrant and performance-driven culture for ourselves where everyone is free to think & act outside the box. There are literally no limits to what you can do here, as long as we WOW our clients and OVER deliver what we promise.

About the role:

This is a strategic consulting role with part-time involvement, focused on building scalable, resilient, and high-quality data pipelines and analytics frameworks in the financial domain.

The project centers on the development of a data-driven platform designed to optimize decision-making processes in the financial sector. The system processes large volumes of financial data and leverages advanced analytics and AI-driven recommendations to support strategic business functions.

The consultant will be involved in designing scalable data pipelines, implementing robust data quality frameworks, and enabling deep analytical insights — all within a secure, high-compliance environment.

Main responsibilities:

• Provide monthly consulting to improve financial data processes and analytics in the financial sector
• Design, document, and maintain scalable big data pipelines
• Build robust data frameworks from ingestion to decision-making
• Develop ETL/ELT workflows for structured and unstructured data
• Identify and fix data quality issues (duplicates, corruption, gaps)
• Analyze large financial datasets to generate actionable insights
• Maintain clear technical documentation (data dictionaries, lineage)
• Collaborate with teams to integrate AI recommendations and financial metrics

• Support data visualization and reporting efforts

• SQL (Advanced): Complex queries, window functions, CTEs, query optimization for datasets with 1M+ records

• BigQuery: Partitioning, clustering, materialized views, and cost optimization techniques
• Python: pandas, numpy — data manipulation and analysis at scale
• Data Modeling: Dimensional modeling (Star and Snowflake schemas), slowly changing dimensions
• ETL/ELT: Design patterns, data quality frameworks, incremental loading strategies
• Financial Metrics: Understanding of NPV, IRR, recovery rates, and portfolio analytics
• Data Visualization: Proficiency in at least one tool (Looker, Tableau, or Power BI)
• Version Control: Git for managing SQL scripts and data pipeline code
• Documentation: Technical writing for data dictionaries, data lineage, and process flows

Would be cool:

• Statistical Analysis: Hypothesis testing, regression analysis, time series forecasting
• ML Basics: Feature engineering, model evaluation metrics, A/B testing frameworks
• Cloud Platforms: GCP certification and experience with Vertex AI Feature Store
• Orchestration: Apache Airflow or Cloud Composer for workflow management
• Data Quality Tools: Experience with Great Expectations, Monte Carlo, or similar tools

What we offer:

• Flexible schedule & opportunity to work remotely or workspace in Kyiv );
• Friendly & open team who have fun creating cool projects together;
• Opportunity to boost your professional & personal growth;
• Regular team gathering activities;
• 20 business days of paid vacation + UA national holidays;
• Medical insurance full coverage;
• 10 + 5 days paid sick leave;

How we operate:

• We promise dramatic professional growth & interesting work
• Bring ideas that will change how Fulcrum operates, and you will receive our gratitude and rewards
• Your opinion matters. Fulcrum is not a typical 'bureaucratic company, and our employees are our core value
• Your compensation grows with your responsibility zone
• If something doesn't go smoothly or can be simplified, just let us know — you are welcome to do so
• You have a say in everything we do, starting from the roadmap, creating requirements, sprint planning, etc.
• If you feel that everything above is about you, get in touch. We're always glad to welcome stubborn, enthusiastic, and result-oriented buddies to our team

Are you interested in working with us?

LET'S MOVE THE WORLD TOGETHER