Data Solutions & Analytics Senior Analyst - job 2 of 2
Join a leading fintech company that’s democratizing finance for all.
Robinhood Markets was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood and its subsidiaries and affiliates are lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in.
With growth as the top priority...
The business is seeking curious, growth-minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you’re invigorated by our mission, values, and drive to change the world — we’d love to have you apply.
About the team + role
As a Senior Data Analyst on the Brokerage Risk Data Solutions and Analytics team, you’ll collaborate with operations, compliance, product, and engineering teams to enhance efficiency, scalability, and risk management for our broker-dealer operations. This role focuses on building dashboards, performing deep analysis, and developing data-driven solutions incorporating data pipelines and use of AI and large language models (LLMs) to optimize workflows.
The role is located in the office location(s) listed on this job description which will align with our in-office working environment. Please connect with your recruiter for more information regarding our in-office philosophy and expectations.
What you’ll do
Collaboration and Stakeholder Engagement
- Partner closely with Operations, Compliance, Product, and Engineering to understand business challenges and deliver impactful, data-driven solutions.
Operational Efficiency and Process Optimization
- Build and maintain scalable data pipelines using Python, Spark and Airflow to automate critical processes, such as key risk indicators, detective controls, risk alerts, reconciliations, and reporting.
- Develop solutions that leverage Generative AI and large language models (LLMs) to streamline and optimize processes, driving innovation in operational workflows.
Data Visualization and Reporting
- Develop meaningful, user-friendly dashboards to monitor the health of products, systems, and business processes.
- Transform complex data into clear and insightful visualizations to inform partners and drive decision-making.
Exploratory Data Analysis and Risk Mitigation
- Perform exploratory data analysis to uncover actionable insights and inform data-driven strategies for mitigating risks and optimizing operational efficiencies.
What you bring
- 5+ years of experience in data analytics, data engineering, or a related technical role with a strong history of delivering impactful data solutions.
- Demonstrated expertise in SQL and Python for data analysis, process automation, and developing ETL pipelines. Experience using Databricks is a plus.
- Proficient in building intuitive dashboards and data visualizations, with experience in tools like Tableau, Looker, or Superset (preferably in a developer capacity).
- Proven ability in statistical analysis methods to uncover insights and identify patterns and translate complex data into actionable insights..
- Enthusiasm for exploring and leveraging emerging technologies, such as Generative AI and large language models (LLMs), to optimize processes and enhance workflows.
What we offer
- Market competitive and pay equity-focused compensation structure
- 100% paid health insurance for employees with 90% coverage for dependents
- Annual lifestyle wallet for personal wellness, learning and development, and more!
- Lifetime maximum benefit for family forming and fertility benefits
- Dedicated mental health support for employees and eligible dependents
- Generous time away including company holidays, paid time off, sick time, parental leave, and more!
- Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits
Base pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, location, business needs, or market demands. The expected salary range for this role is based on the location where the work will be performed and is aligned to one of 3 compensation zones. This role is also eligible to participate in a Robinhood bonus plan and Robinhood’s equity plan. For other locations not listed, compensation can be discussed with your recruiter during the interview process.
Click here to learn more about available Benefits, which vary by region and Robinhood entity.
We’re looking for more growth-minded and collaborative people to be a part of our journey in democratizing finance for all. If you’re ready to give 100% in helping us achieve our mission—we’d love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes.
Robinhood embraces a diversity of backgrounds and experiences and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. Please review the specific Robinhood Privacy Policy applicable to the country where you are applying.
Average salary estimate
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Welcome to Robinhood Markets, where we're on a mission to make finance accessible to everyone! As a Data Solutions & Analytics Senior Analyst, you’ll play a pivotal role in our Brokerage Risk Data Solutions and Analytics team. This position is perfect for those who love to make an impact by using data to drive change. You’ll work closely with various teams including operations, compliance, product, and engineering, collaborating to enhance efficiency and risk management in our broker-dealer operations. In this role, you’ll be responsible for building intuitive dashboards and performing deep analysis, all while utilizing cutting-edge technologies such as AI and large language models. Your expertise in Python, Spark, and data visualization tools like Tableau will allow you to create scalable data pipelines and insightful reports. You will also dive into exploratory data analysis to uncover insights that help mitigate risks. We're looking for someone who’s not just a problem-solver but someone who thrives on innovation and is excited about leveraging emerging technologies to streamline processes. Whether you're based in Chicago, Denver, Lake Mary, or Westlake, you’ll be a part of a dedicated team that values collaboration and growth. Join us, and together, let’s reshape the financial landscape!
By
Robinhood
Robinhood is a leading financial services company headquartered in Menlo Park, California. The company was founded in 2013 and currently has 23.9 million funded customers, 13.7 million monthly active users, and $130 billion in assets under custody.
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