Business Intelligence & Data Analyst

My Funded Futures is a rapidly growing futures evaluation and trading firm focused on transforming proprietary trading. The Business Intelligence & Data Analyst will be responsible for building data insights to guide decisions across various departments and will play a strategic role in developing the data foundation for the company's growth.

Responsibilities

• Build and maintain ETL/ELT pipelines connecting trading data, CRM data (e.g., HubSpot), support platforms, payments, risk systems, and other operational tools
• Partner with engineering to ensure data quality, governance, and consistency across the organization
• Develop scalable data models and schemas to support analytics, forecasting, and operational automation
• Implement tools for data extraction, cleaning, and normalization
• Own MFF’s BI environment (e.g., Power BI, Looker, Tableau, or similar)
• Build dashboards for executive leadership, product, risk, operations, and customer support
• Develop automated weekly, monthly, and real-time reports to track key KPIs as required
• Conduct deep-dive analyses on trading behaviour, risk signals, trader churn, evaluation success rates, anomalies, and financial performance
• Support pricing and product decisions through model-building, scenario analysis, and sensitivity testing
• Identify leading indicators for risk events and operational bottlenecks
• Partner with product and engineering to inform the roadmap using data-backed insights
• Work closely with COO on operational analytics and performance monitoring
• Work closely with Risk Team on trader behaviour patterns and real-time risk insights
• Work closely with Finance on revenue/cost forecasting and margin analysis
• Work closely with Marketing on funnel optimization
• Work closely with Product on product analytics
• Work closely with Support on ticket volumes, SLAs, and quality metrics
• Act as an internal consultant—helping teams translate business questions into analytical frameworks

Skills

• Strong SQL expertise (PostgreSQL, MySQL, BigQuery, Snowflake, or equivalent)
• Experience with BI tools (Power BI, Tableau, Looker, Metabase, etc.)
• Familiarity with Python or R for data manipulation and statistical analysis
• Experience designing ETL/ELT pipelines; familiarity with tools like Airflow, DBT, Fivetran, Stitch, etc
• Strong understanding of data modelling concepts (star schema, fact/dimension tables)
• Ability to integrate with APIs and webhooks from trading platforms and SaaS systems
• Highly analytical with exceptional problem-solving abilities
• Ability to translate complex data into simple, clear narratives
• Thrives in fast-paced, ambiguous, founder-led environments
• Strong communication skills, especially with non-technical stakeholders
• Self-starter with the ability to build from 0 → 1
• Exposure to capital markets, futures trading, prop firms, or brokerage operations
• Understanding of risk concepts (drawdowns, leverage, volatility, liquidation thresholds, etc.)
• Experience analysing financial time-series data
• Familiarity with operational and compliance needs of trading businesses

Benefits

• 💼 Comprehensive benefits
• 💰 Performance-based incentives