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Principal Data Analyst
Rocket Mortgage. Drive analytical decision-making on domain initiatives, leading projects from inception through deployment .
Posted 11/9/2026full-timeRemote • California • United StatesLead💰 $128,500 - $276,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates extensive experience in data analysis and visualization, utilizing tools such as Tableau and Power BI, while ensuring data integrity and governance. Capable of leading analytical projects from inception to deployment, with a strong focus on client targeting and segmentation.
Highest-signal resume keywords
Data AnalysisData VisualizationSQL QueryingData Pipeline DevelopmentStatistical Methods
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisData VisualizationSQLSASRPythonStatistical KnowledgeData Pipeline DevelopmentData Privacy ComplianceClient Targeting
Soft Skills
Communication SkillsLeadershipMentoringCollaborationAutonomy
Tools & Technologies
TableauPower BIMicrosoft ExcelSegmentAmplitudeAvoAI Tools
Industry Keywords
Data GovernanceData IntegrityBusiness IntelligenceData LandscapeData CaptureProduct RequirementsEngagement Data
Tech Stack
Tools & technologiesPythonSQLTableau
About the role
Key responsibilities & impact- Drive analytical decision-making on domain initiatives, leading projects from inception through deployment
- Target and segment existing clients based on product requirements and partner with business teams to act on results
- Build and maintain the analytics pipeline from product and system log capture through reporting organization
- Ensure pipeline data is accessible to other businesses while upholding consent and data privacy requirements
- Create a ground-layer source of truth for a new product
- Partner with product and engineering to define data capture and instrumentation
- Explain data across the ecosystem, including servicing engagement, data lake contents, and data requiring extraction
- Use AI to improve work speed, quality, and effectiveness
- Analyze data using statistical methods and summarize findings for varied audiences
- Represent data insights to business leaders and recommend business solutions
- Ensure data integrity and support data governance through validation and IT alignment on source systems
- Collaborate with business analysts, data engineers, and modelers on business intelligence solutions
- Design data collection standards and share best practices
- Mentor and coach other data analysts
Requirements
What you’ll need- Extensive experience analyzing data sets in a business setting
- Demonstrated experience with data visualization tools such as Tableau and Power BI
- Demonstrated experience with SAS, R, or Python and advanced statistical knowledge applied to business decisions
- Advanced SQL or other querying languages to create data sets
- Deep domain knowledge of the business area
- Experience with client targeting and segmentation based on product requirements
- Experience designing, building, and maintaining analytics pipelines from data capture through reporting-ready data sets
- Working knowledge of data privacy and consent requirements
- Comprehensive knowledge of the data landscape and external data sources
- Ability to lead end-to-end analysis projects resulting in business-changing recommendations
- Leadership through mentoring peers and technical leadership
- Excellent communication skills and presence with business leaders
- Ability to work autonomously in a fast-paced environment and partner with product and engineering
- 7 years of experience working with data sets (preferred)
- 7 years of experience using Microsoft Excel for data analysis (preferred)
- 7 years of experience using SQL to create data sets, including Hive/Data Lake (preferred)
- Experience with Segment, Amplitude, and Avo (nice to have)
- Experience using AI tools to improve analytical effectiveness and build data foundations for new products
- Experience with product and system log data and servicing or client engagement data
- Bachelor's or master's degree in mathematics, applied statistics, or a related field (preferred)
Benefits
Comp & perks- Annual bonus eligibility
- Incentives
- Medical benefits
- Dental benefits
- Vision benefits
- 401K retirement plan
- Paid time off
- Health and well-being support for team members and their families
- Career growth
- Reasonable accommodations for qualified individuals with disabilities