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Rocket Mortgage

Senior Demand and Forecasting Analytics Manager

Rocket Mortgage

. Lead, coach, and develop a team of four to five data scientists and business intelligence engineers .

Posted 10/16/2026full-timeUnited StatesSenior💰 $153,500 - $199,800 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading data science teams and embedding AI into analytics workflows, with a strong foundation in statistical reasoning and financial acumen. Capable of translating complex business questions into actionable analytical strategies and recommendations for senior leadership.

Highest-signal resume keywords
Data Science Team LeadershipAI-Assisted AnalyticsSQL ExpertiseSnowflake ExperienceStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Statistical ReasoningCausal ReasoningData ModelingAnalytical Strategy DevelopmentBudgeting DynamicsTop-Line DriversBottom-Line Margin ExpansionReusable Analytical LayersSelf-Serve Business Intelligence SolutionsAnalytical Roadmap Ownership
Soft Skills
Excellent CommunicationStakeholder ManagementInfluencing Senior Leaders
Tools & Technologies
SnowflakeTableau
Industry Keywords
AnalyticsAI IntegrationCross-Functional CollaborationProduct InvestmentsRegulated Environment

Tech Stack

Tools & technologies
SQLTableau

About the role

Key responsibilities & impact
  • Lead, coach, and develop a team of four to five data scientists and business intelligence engineers
  • Act as a thought partner to senior data scientists and help solve complex problems
  • Embed AI into exploratory analysis, code generation, documentation, and synthesis with appropriate regulated-environment guardrails
  • Design and maintain scalable analytical assets in Snowflake
  • Build well-modeled datasets, shared metric definitions, and self-serve Tableau analytics
  • Reduce one-off analytics request volume
  • Partner with Product, Engineering, and Finance on complex cross-functional problems
  • Represent analytics in senior forums
  • Set analytical strategy for major product investments
  • Help teams understand tradeoffs
  • Own the quarterly analytics roadmap and prioritize high-impact opportunities
  • Translate ambiguous business questions into analytical plans
  • Translate analytical results into actionable recommendations for senior leaders

Requirements

What you’ll need
  • 9+ years of experience in analytics, preferably in a data science role
  • 5+ years of experience directly leading data science teams
  • Strong statistical and causal reasoning foundation
  • Excellent communication and stakeholder management skills
  • Track record of influencing senior product and business leaders
  • Strong commercial and financial acumen
  • Thorough mastery of budgeting dynamics, top-line drivers, and bottom-line margin expansion
  • Proven skill in balancing near-term revenue targets against long-term profitability
  • Experience leading AI-assisted analytics teams
  • Experience designing review processes for AI-produced work
  • Demonstrated practical use of AI in an analytics workflow
  • Expert in SQL and data modeling
  • Experience building reusable analytical layers
  • Snowflake experience preferred
  • Proven background constructing scalable and self-serve business intelligence solutions
  • Candidates must be able to work in the Seattle or Detroit office on Tuesdays and Wednesdays for the hybrid arrangement; remote-only candidates may be considered if residing outside the specified areas

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
  • Reasonable accommodations for qualified individuals with disabilities