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Remote Business Intelligence & Data AnalystGrabJobs • San Bernardino, California, United States
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Remote Business Intelligence & Data Analyst

GrabJobs
  • US
    San Bernardino, California, United States
  • US
    San Bernardino, California, United States
Jetzt Bewerben

Über

At My Funded Futures, we’re transforming the world of proprietary trading by giving traders the capital, tools, and community they need to succeed.
We blend innovation, transparency, and performance to create opportunity — helping traders scale faster and smarter. If you’re passionate about fintech, financial markets, and data-driven growth, you’ll fit right in.
Explore our open roles below and see how you can help us shape the future of funded trading. Business Intelligence & Data Analyst Location: Remote / Hybrid Type: Full-Time Reports to: Director of Business Intelligence
We're looking for an analytically strong, hands-on BI & Data Analyst with 3-5 years of experience turning data into decisions. In this role, you'll own our Power BI environment, work directly in Microsoft Fabric, and partner across the business to deliver reporting and insights that drive better decisions.
About MyFundedFutures MyFundedFutures (MFF) is a fast-growing futures evaluation and trading firm built for the next generation of global traders. We sit at the intersection of capital markets, technology, and risk, giving traders the tools, capital, and infrastructure to succeed.
Our data platform is already built on Microsoft Fabric using a Medallion architecture (Bronze, Silver, Gold), with clean, structured data flowing across trading platforms, CRM, risk engines, payments, support, and marketing data. The foundation is in place. Now we need someone to expand our Power BI ecosystem across the business and help strengthen a culture where decisions are backed by data.
What You'll Be Doing Data & Reporting
Own our Power BI environment end to end, including semantic models, DAX, and dashboards for executive leadership, risk, finance, operations, marketing, and support.
Maintain and improve data pipelines in Microsoft Fabric, including Data Pipelines, Dataflows, and Notebooks, to keep data flowing reliably across the business.
Build scalable data models using star schema and fact/dimension design principles.
Deliver automated daily, weekly, and monthly reporting that gives teams timely, reliable access to key metrics.
Analysis & Insights
Analyze trader behavior, including success rates, churn, risk signals, and anomalies.
Support pricing, product, and growth decisions through scenario modeling, sensitivity analysis, and financial performance reviews.
Identify early warning signals in risk and operational data before they become larger issues.
Cross-Functional Partnership
Partner closely with the COO, Risk, Finance, Marketing, Product, and Support teams to translate business questions into analytical frameworks and actionable insights.
Act as a trusted internal partner who helps teams understand what is happening in their area of the business and why.
What We're Looking For Required
3-5 years of experience in business intelligence, data analytics, or a related field.
Strong SQL skills, including complex queries, CTEs, window functions, and performance tuning.
Hands-on Power BI experience, including semantic models, DAX, and business-critical reporting.
Python and/or PySpark experience for data work, including pandas, scripting, API calls, and automation.
Strong data modeling fundamentals, including schema design, grain definition, and scalable reporting structures.
Experience with Microsoft Fabric or a comparable platform such as Azure Synapse, Data Factory, or Databricks.
Experience integrating data from APIs, webhooks, or third-party SaaS platforms.
Nice to Have
Experience in capital markets, futures trading, prop firms, or brokerage operations.
Familiarity with drawdowns, leverage, volatility, and liquidation concepts.
Experience working with financial time-series data.
Interest in machine learning use cases such as churn prediction, anomaly detection, and forecasting, with openness to tools such as AutoML and MLflow as that capability evolves.
How You Work
You translate complex data into clear, practical narratives for non-technical stakeholders.
You work autonomously and are comfortable taking initiative in a fast-moving environment.
You bring a strong sense of ownership and follow through on problems from identification to resolution.
You are comfortable operating in ambiguity and can create structure when priorities are evolving.
You think critically and creatively, challenge assumptions, and look for better ways to solve problems.
Why MFF
Help shape how a high-growth trading firm makes decisions.
Work alongside experienced operators from capital markets, fintech, and trading technology.
Flexible work environment focused on outcomes and impact.
Competitive compensation and meaningful room to grow as the company scales.
EEO Statement
Equal Employment Opportunity My Funded Futures is an equal opportunity employer. We believe that diversity drives innovation and success. We are committed to building an inclusive environment where every team member feels valued, respected, and supported—regardless of race, color, religion, gender, gender identity, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic.
Pay Transparency
In compliance with pay transparency laws, My Funded Futures provides compensation ranges in job postings where required. Final compensation may vary based on experience, qualifications, and location. We also offer comprehensive benefits and performance-based incentives.
Accessibility / Accommodation Statement
If you require assistance or an accommodation during the application process, please contact our HR team at nicki@myfundedfutures.com .
Work Authorization
Applicants must be authorized to work in the applicable country without employer sponsorship. The Company does not offer visa sponsorship or immigration assistance for this position.
  • San Bernardino, California, United States

Sprachkenntnisse

  • English
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