Senior Manager, Data Science & Analytics

Sunrun

. Centralize and lead the analytics organization of 20–30 distributed analysts .

Posted 11/6/2026full-timeRemote • United StatesSenior💰 $194,860 - $259,813 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading analytics teams, designing agile workflows, and delivering actionable insights through advanced data analysis. Proficient in SQL, data warehousing, and modern BI platforms to drive measurable business outcomes.

Highest-signal resume keywords

Expert-Level SQL SkillsData Warehousing ArchitectureTeam Leadership ExperienceProficiency in Python or RExperience with Modern BI Platforms

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsBusiness IntelligenceApplied Data ScienceSQLData WarehousingExploratory Data AnalysisStatistical ModelingAgile WorkflowsScalable Reporting FrameworksAutomated Data Products

Soft Skills

Technical CoachingMentorshipCareer DevelopmentChange ManagementEfficiency Focus

Tools & Technologies

SnowflakeBigQueryDatabricksDbtTableauLookerSigma

Industry Keywords

Analytics OrganizationLean ExecutionHigh-Performing TeamsCanonical MetricsSales Funnel Conversion

Tech Stack

Tools & technologies

BigQueryPythonSnowflakeSQLTableau

About the role

Key responsibilities & impact

Centralize and lead the analytics organization of 20–30 distributed analysts
Lead organizational restructuring to build a lean, high-performing analytics team
Design agile workflows, intake models, and prioritization frameworks
Provide technical coaching, mentorship, and career development
Partner with Data Engineering on Sunrun’s centralized Data Hub initiative
Own the enterprise SQL semantic layer and establish canonical metrics, labeling standards, and standardized business definitions
Design unified scoring models and frameworks across sales, consumer acquisition, and operational touchpoints
Architect scalable reporting frameworks and automated data products
Deliver actionable insights to Sales, Consumer Experience, and Operations leaders
Improve unit economics, sales funnel conversion, and customer lifetime value
Translate complex data into executive dashboards, key performance metrics, and operational recommendations

Requirements

What you’ll need

8+ years of experience in Data Analytics, Business Intelligence, or Applied Data Science
3+ years in a team lead or management role overseeing analysts
Proven track record at Big Tech or high-growth tech startups known for best-in-class data cultures
Expert-level SQL skills
Deep understanding of data warehousing architecture, including Snowflake, BigQuery, or Databricks
Hands-on experience building or governing a semantic/SQL layer using dbt or modern metrics platforms
Proficiency in Python or R for exploratory data analysis and statistical modeling
Deep experience with modern BI platforms such as Tableau, Looker, or Sigma
Focus on efficiency, lean execution, and measurable business outcomes
Comfort operating with low structure, wearing multiple hats, and navigating organizational change management

Benefits

Comp & perks

Employee development opportunities
Well-being and safety-focused culture
Career growth opportunities
Equal opportunity employment
Reasonable accommodation during the hiring process or to perform the role