Angi
Senior Manager, Analytics (Customer Care)
Remote - United States · Senior
Sponsorship not specified$155k-$210kDetected 29 days ago
Data StructuresSQLMachine LearningData EngineeringData ScienceData VisualizationA/B TestingJiraSalesforceCRMRecruitingCadenceLeadershipCommunicationMentoringPublic Speaking
About the role
- Angi's Care Analytics team is at the center of how we understand, grow, and retain our Pro network.
- This is a highly visible, high-impact role that requires someone equally comfortable writing SQL one day and presenting findings to a leadership team the next morning.
Responsibilities
- Lead the Weekly Metrics review for senior leadership, including narrative development and proactive identification of metric gaps in our retention trends.
- Manage transitions of report stewardship within the team and ensure analytical continuity (e.g., onboarding new analysts to weekly cadences without degrading output quality).
- Run a weekly Care Analytics prioritization process: maintain the backlog across multiple stakeholder groups (Care leadership, Pro product, Finance), arbitrate competing priorities, and communicate trade-offs clearly.
- Manage and develop a team of analysts (Senior Analysts, Analysts), providing coaching on both technical craft and business communication.
- Champion the Analytics + AI literacy initiative, helping team members build skills in AI-assisted analysis and productivity tooling.
- Drive structured investigations into metric deterioration Leverage regression analysis, cohort segmentation, and hypothesis testing to isolate drivers of key metrics and distinguish correlation from causation.
- Partner with Data Science and Product Analytics on metric definitions, unified views for migrations, and new metric builds.
- Validate and QA metric definitions end-to-end, including numerator/denominator alignment, data source mapping, and appropriate use of segment filters.
- Our AI tools are designed to complement, not replace, human decision-making.
Nice to have
- 6+ years of analytics experience, with 2+ years managing analysts in a fast-paced, data-intensive environment.
- Proven track record stewarding executive-facing reporting cadences-ideally weekly business reviews-with a strong ability to translate metric movements into business narratives.
- Expert-level SQL and proficiency with BI tools (Looker preferred)
- Experience with retention/cohort analysis, churn modeling, or marketplace analytics.
- Experience in a marketplace, e-commerce, or home services business with a two-sided network (pro/consumer or seller/buyer).
- Familiarity with Salesforce data structures and CRM-based analytics (save events, churn events, case history).
- Experience with metric migration projects (e.g., moving reporting between data warehouses or unified explore environments).
- Exposure to AI/ML applications in analytics (coaching impact sizing, predictive churn, prospect scoring).
Skills
- Define project scopes and ETAs, track delivery, and surface blockers early-including upstream data/engineering dependencies.
- Act as the analytical voice in leadership discussions on customer metrics, rules, program effectiveness, and optimization strategies.
- Translate ambiguous asks from business leaders into structured analytical plans with defined hypotheses, recommended cuts, and timelines.
Compensation
- The base salary band for this position ranges from $155,000-$210,000, commensurate with experience and performance. Compensation may vary based on factors such as geographic location
- The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world
- We value diversity
- We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems.
- Our hiring process may utilize artificial intelligence (AI) tools to assist in candidate screening and assessment.
- Our AI tools are designed to complement, not replace, human decision-making.
- The base salary band for this position ranges from $155,000-$210,000, commensurate with experience and performance.
Benefits
- This position will be eligible for a competitive year end performance bonus & equity package
- Full medical, dental, vision package to fit your needs
- Flexible vacation policy; work hard and take time when you need it
- Pet discount plans & retirement plan with company match (401K)
- We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.
Company info
- The Senior Manager, Analytics stewards the analytical strategy and cadence that drives decision-making across Pro retention, churn, cash collection, and care team effectiveness.
- In this role you will serve as the primary analytical partner to our customer care business unit -translating complex, weekly data signals into actionable narratives.
- You will lead a team of analysts, manage a dynamic project backlog, and set the standard for analytical rigor across Customer Care Network metrics.
- Weekly & Monthly Business Reviews
- Steward and publish weekly business reviews, synthesizing key metrics and signals into clear, stakeholder-ready commentary.
- Flag material metric movements proactively-distinguishing noise from signal-and recommend whether to investigate immediately, monitor, or backlog.
- Analytical Prioritization & Team Management
- Deep-Dive Investigation & Root Cause Analysis
- Stakeholder Partnership
- Collaborate cross-functionally with Care Ops, Finance, Product, and Data Engineering to ensure analytical outputs are grounded in operational reality.
- Partner with Data Engineering on data quality issues to ensure reporting reliability.
- Who you are:
- Expert-level SQL and proficiency with BI tools (Looker preferred); comfortable building and validating complex metric logic from scratch.
- Strong statistical judgment: ability to distinguish meaningful trends from noise, apply regression analysis, and design structured investigations with clear hypotheses.
This listing is sourced directly from Angi's careers page and normalized into a canonical job model.