Senior Data Solutions & Analytics Strategist

Robinhood

Westlake (TX)

On-site

USD 142,000 - 162,000

Full time

5 days ago
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Benefits offered by this job

Health insurance
Equity ownership
401(k) matching

Job summary

Robinhood is seeking an exceptional Data Solutions & Analytics Senior Analyst to help shape the future of our core platforms, products, and customer experiences. You will partner with cross-functional leaders to deliver data‑driven solutions and mentor others in a fast‑paced, ethical environment.

This role is based in Westlake, TX, with in‑person attendance expected at least 3 days per week. You will build scalable data pipelines using Python, Spark and Airflow, leverage Generative AI to

Qualifications

  • Bachelor’s degree in a related field and 5+ years of experience in data analytics.
  • Build and maintain scalable data pipelines with Python, Spark, and Airflow.
  • Write complex SQL queries to analyze large datasets.
  • Develop dashboards and visualizations to monitor health of products and systems.
  • Apply Generative AI to automate processes and improve workflows.

Responsibilities

  • Partner with Operations, Compliance, Product, and Engineering to deliver data-driven solutions.
  • Develop scalable data pipelines and automate critical processes.
  • Create meaningful dashboards and clear visualizations for stakeholders.
  • Perform exploratory data analysis to extract actionable insights.
  • Mentor teammates and contribute to cross-functional initiatives.

Skills

Python
Spark
Airflow
SQL
Data dashboards
Generative AI
Data analysis

Education

Bachelor’s degree (Data Science/CS/Info Mgmt/Engineering)

Job description

Robinhood is seeking an exceptional Data Solutions & Analytics Senior Analyst to help shape the future of our core platforms, products, and customer experiences. You will partner with cross-functional leaders to deliver data‑driven solutions and mentor others in a fast‑paced, ethical environment.

This role is based in Westlake, TX, with in‑person attendance expected at least 3 days per week. You will build scalable data pipelines using Python, Spark and Airflow, leverage Generative AI to

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