Data Solutions & Analytics Senior Analyst
About this role
The team at Robinhood builds core platforms, products, and customer experiences that apply frontier technologies to complex financial problems. This group creates scalable solutions and automated systems to address historic shifts in generational wealth and evolving fintech challenges.
As a Data Solutions and Analytics Senior Analyst, the individual will shape vision and execution across key strategic initiatives by partnering with operations, compliance, product, and engineering. Responsibilities include building scalable data pipelines, developing generative AI and large language model solutions, and performing exploratory data analysis to uncover insights.
This position suits someone who leverages modern tools to solve problems, guides complex projects from concept to completion, and mentors other team members. Candidates should thrive in a fast-moving, high-performing environment with high expectations and a focus on ethical practices.
What you will do
- Partner closely with Operations, Compliance, Product, and Engineering to understand business challenges and deliver impactful, data-driven solutions.
- Build and maintain scalable data pipelines using Python, Spark and Airflow to automate critical processes like key risk indicators and detective controls.
- Develop solutions that leverage Generative AI and large language models to streamline and optimize operational workflows.
- 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.
- Perform exploratory data analysis to uncover actionable insights and inform data-driven strategies for mitigating risks and optimizing operational efficiencies.
What you need
- Hold a Bachelor’s degree or foreign equivalent in Data Science, Computer Science, Information Management, Electronic Engineering or a related field.
- Possess five years of progressively responsible experience in the job offered or a related occupation.
- Demonstrate experience building and maintaining scalable data pipelines using Python, Spark, and Airflow.
- Write complex SQL queries to extract, transform, and analyze large datasets.
- Perform exploratory data analysis and apply statistical analysis techniques to identify patterns, anomalies, and actionable insights.
- Develop dashboards and visualizations to monitor product, system, and business process health.
- Apply large language models and Generative AI to automate and streamline processes.
Benefits
- 100% paid health insurance for employees with 90% coverage for dependents
- Lifestyle wallet for wellness and learning
- Employer-paid life and disability insurance, fertility benefits, and mental health benefits
- Paid time off including company holidays, sick time, and parental leave
- Performance-driven compensation with bonus programs, equity ownership, and 401(k) matching
- Catered meals, events, and comfortable workspaces at the office
Skills and tech stack
Questions candidates ask
What is the remote work and office attendance policy?
This role is based in Westlake, TX, with in-person attendance expected at least 3 days per week. Telecommuting is permitted.
What is the salary range and compensation structure?
The expected base pay range is $141,773.00 to $162,000.00 per year. The role is also eligible for bonus opportunities, equity, and benefits.
What tools and technologies will I be working with?
You will build and maintain scalable data pipelines using Python, Spark, and Airflow, write complex SQL queries, and develop solutions leveraging Generative AI and large language models.
What departments will I collaborate with?
You will partner closely with Operations, Compliance, Product, and Engineering to understand business challenges and deliver data-driven solutions.