Principal Data Analyst (San Diego, CA)

quickenloans

United States

Remote

USD 129,000 - 276,000

Full time

4 days ago
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Benefits offered by this job

Bonus eligibility
Health insurance
Retirement plan
Paid time off

Job summary

Quicken Loans in San Diego, California seeks a senior analytics contributor to own the analytics foundation for a new product, turning data into reliable reporting and actionable business insight.

You will lead projects from problem definition through delivery, define data capture, build pipelines, and establish a trusted data source while ensuring privacy. You will mentor peers and partner with product, engineering, and leadership.

Qualifications

  • Extensive experience analyzing business data to inform decisions.
  • Proficient in SQL and statistical tools (SAS, R, Python).
  • Experience building analytics pipelines from data capture to reporting.
  • Ability to translate findings for executives.

Responsibilities

  • Lead analytical projects from problem definition through delivery.
  • Define data to capture and build pipelines for reporting.
  • Develop a trusted data source across business teams.
  • Analyze and segment clients and advise actions.
  • Validate data quality and support governance.
  • Set data collection standards and coach analysts; apply AI tools.

Skills

Advanced SQL
Python/R/SAS
Tableau/Power BI
Data pipeline design
Mentoring

Tools

Tableau
Power BI
SAS
R
Python

Job description

Role overview

Own the analytics foundation for a new product, turning its data into reliable reporting and actionable business insight. This senior individual contributor partners with product, engineering, and business leaders, guiding work from data capture and pipeline design through analysis, governance, and recommendations.

Responsibilities
  • Lead analytical projects from problem definition through delivery, using findings to shape business decisions and strategy.
  • Define what product and system activity to capture, then build and maintain pipelines that produce reporting‑ready data.
  • Develop a trusted source of truth for a new product and make data available across business teams while respecting consent and privacy requirements.
  • Analyze and segment clients against product needs; explain findings and recommend actions to business leaders.
  • Validate data quality, support governance, and work with IT and analytics partners to understand source systems and data gaps.
  • Set data collection practices, share standards, and coach other analysts; use AI tools to improve the speed and quality of work.
Requirements
  • Extensive experience analyzing business data and applying advanced statistical methods to decisions.
  • Advanced SQL or comparable querying skills, plus experience with statistical tools such as SAS, R, or Python and visualization tools such as Tableau or Power BI.
  • Experience designing and maintaining analytics pipelines from data capture to reporting, and targeting or segmenting clients based on product requirements.
  • Strong understanding of the relevant business domain, data landscape, external sources, and privacy and consent requirements.
  • Track record leading end‑to‑end analysis, mentoring peers, and translating complex findings for technical, nontechnical, and executive audiences.
  • Able to work autonomously, partner closely with product and engineering, and make progress amid ambiguity.
Benefits and work setup

The role is listed in San Diego, California. The source gives a compensation range of $128,500–$276,000 and notes potential eligibility for a bonus, incentives, health coverage, retirement plan, and paid time off.

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