Principal Data Analyst (San Diego, CA)

Rocket Companies • Remote - California, CA

1d • $128,500 - $276,000

About The Position

The Principal Data Analyst is a senior individual-contributor and subject matter expert who informs business decisions and defines strategy through analysis. The role partners closely with product, engineering, and business leaders and owns the analytics foundation for a new product, from data capture in product and system logs through reporting-ready organization and responsible sharing across the business.

The analyst leads initiatives from inception through deployment, develops client targeting and segmentation, builds and maintains analytics pipelines, and creates a ground-layer source of truth for a new product. The role helps define data capture and instrumentation, makes data accessible while upholding consent and privacy requirements, and develops a comprehensive understanding of the data ecosystem. It also applies statistical methods and AI tools to improve analytical effectiveness, communicates findings to varied audiences, supports data integrity and governance, and mentors other analysts.

This role calls for an autonomous, resourceful, fast-moving professional who can work through ambiguity, build missing processes and standards, and move fluidly among analysis, pipeline development, stakeholder consulting, and mentoring. The position is based in San Diego, California. Compensation is listed as $128,500 to $276,000, with possible eligibility for an annual bonus, incentives, and other employment-related benefits.

Requirements

• Extensive experience analyzing data sets in a business setting.
• Demonstrated experience with data visualization tools such as Tableau or Power BI.
• Demonstrated experience with industry-standard statistical tools such as SAS, R, or Python, and advanced statistical knowledge applied to business decisions.
• Advanced SQL or other querying-language skills for creating data sets.
• Deep domain knowledge of the business area and ability to provide strategic, actionable recommendations.
• 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, including data in the data lake versus data that must be extracted.
• Demonstrated ability to lead end-to-end analysis projects that produce business-changing recommendations.
• Demonstrated leadership through peer mentoring and technical leadership.
• Excellent communication skills and presence with all audiences, including business leaders.
• Ability to work autonomously in a fast-paced environment and partner with product and engineering.

Nice To Haves

• Seven years of experience working with data sets.
• Seven years of experience using Microsoft Excel for data analysis.
• Seven years of experience using SQL to create data sets, including Hive/Data Lake.
• Experience with Segment, Amplitude, and Avo.
• 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.

Responsibilities

• Drive analytical decision-making on domain initiatives and lead projects from inception through deployment.
• Target and segment existing clients based on product requirements, and partner with business teams to act on the results.
• Build and maintain analytics pipelines from product and system log capture through reporting-ready data for the tax team.
• 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.
• Help the team understand the data ecosystem, including servicing engagement data, data available in the data lake, and data that must be extracted.
• Use AI to improve the speed, quality, and effectiveness of work.
• Analyze data using statistical methods, interpret results, and communicate findings in writing and orally to varied audiences.
• Represent data insights to business leaders and recommend business solutions.
• Ensure data integrity and support data governance, including periodic validation and alignment with IT partners on source systems.
• Work with business analysts, data engineers, and modelers to deliver holistic business intelligence solutions.
• Design data collection standards and share best practices.
• Mentor and coach other data analysts.

Benefits

• Eligible team members may receive medical, dental, and vision benefits.
• 401(k) retirement plan.
• Paid time off.
• The position may be eligible for an annual bonus and incentives.
• The company describes additional perks and health benefits for eligible team members; details are available in its full benefits list.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal
• Education Level: No Education Listed