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Staff Product Data Analyst

Staff Product Data Analyst

CompanySoFi
LocationSeattle, WA, USA, San Francisco, CA, USA
Salary$Not Provided – $Not Provided
TypeFull-Time
DegreesBachelor’s
Experience LevelSenior

Requirements

  • Bachelor’s degree in Business, Computer Science, or a related analytical field.
  • 5+ years of relevant experience in data analysis, business intelligence, or related roles.
  • Proficiency with BI tools (e.g., Tableau, Power BI, Looker), SQL, and Excel.
  • Familiarity with data warehousing concepts and cloud platforms (e.g., Snowflake).
  • Strong analytical and statistical skills, including experience with forecasting.
  • Excellent communication skills, with the ability to clearly convey complex data insights to both technical and non-technical stakeholders.
  • Proven ability to collaborate cross-functionally with Product, Business, and external partners.
  • Highly organized with a keen eye for detail and a proactive approach to problem-solving.

Responsibilities

  • Analyze quantitative data to understand user behavior and make recommendations on business & product decisions.
  • Collaborate with Product, Business, Engineering, and Data teams to understand data requirements, identify opportunities, and translate business questions into analytical frameworks.
  • Perform in-depth analysis using BI tools and statistical methods to extract actionable insights from complex datasets.
  • Build and maintain dashboards and reports to monitor business performance, customer trends, and product metrics.
  • Conduct business forecasting and predictive analyses to inform strategic planning and resource allocation.
  • Participate in partnership discussions, providing data-driven insights and strategic recommendations to support negotiations and relationship management.
  • Continually refine analytical methods and reporting processes to improve accuracy and efficiency.

Preferred Qualifications

  • Experience in a fast-paced tech or SaaS environment.
  • Experience in the Financial Services Industry is strongly preferred.
  • Knowledge of Python or R for advanced analytics.