MyFundedFutures

Business Intelligence, Data Analyst

MyFundedFutures

full-time

Posted on:

Location Type: Hybrid

Location: Dallas • Texas • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

AirflowBigQueryETLMySQLPostgresPythonSQLTableau

About the role

  • 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, Risk Team, Finance, Marketing, Product, and Support on various analytics and insights tasks.

Requirements

  • 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.
  • Exposure to capital markets, futures trading, prop firms, or brokerage operations (preferred).
  • Understanding of risk concepts (drawdowns, leverage, volatility, liquidation thresholds, etc.) (preferred).
  • Experience analysing financial time-series data (preferred).
  • Familiarity with operational and compliance needs of trading businesses (preferred).
Benefits
  • Comprehensive benefits
  • Performance-based incentives

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
SQLETLELTdata modelingdata extractiondata cleaningdata normalizationstatistical analysisAPI integrationfinancial time-series analysis
Soft skills
data qualitygovernanceanalytical thinkingcollaborationcommunicationproblem-solvingattention to detailorganizational skillsleadershipinsight generation