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Senior Analyst, Care

AI Summary
Angi is hiring a Senior Analyst to support Customer Care strategy through advanced analysis, predictive modeling, and performance reporting. The role examines care metrics such as save rate, churn, cash collection, revenue, and customer experience to develop actionable recommendations. It partners with product, strategy, operations, and data teams while building scalable dashboards and near-real-time analytical solutions. Candidates need strong SQL, Python or R, BI visualization, stakeholder communication, and experience translating complex findings for business audiences.
Remote from
USA
Salary
USD 100k–150k / yr
Employment
Full Time
Experience
Senior
Published
Apply before
5 Dec 2026
Listing views
31
Application actions
1
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Opportunity details

About this role.

For over 30 years, Angi has powered the future of the home services industry, creating an environment where homeowners and pros benefit from more jobs done well.

For homeowners, our platform is a reliable way to find skilled pros. For pros, we’re a reliable business partner who helps them find the winnable work they want, when they want. For employees, we’re an amazing place to call home. We can’t wait to welcome you.

Angi at a glance:

  • Founded in 1995 as Angie’s List and rebranded in 2021

  • Global company with 9 brands in 8 countries and employees worldwide

  • Homeowners have turned to us for 300 million home projects and counting

Job Summary:

We are seeking a highly analytical and detail-oriented Senior Analyst to join our team. In this role, you will support the analytics roadmap by leveraging advanced data analysis, modeling, and visualization techniques to generate strategic insights for our Customer Care team. This role will focus on optimizing our care function, with projects aimed at providing data-driven recommendations to ensure we are providing high-quality customer care to both homeowners and pros, optimizing for revenue and customer experience. You will work closely with product, strategy, and operations teams to analyze the care team performance, focusing on metrics such as save rate, customer churn, and cash collection.. As a Senior Analyst, you will focus on providing data-backed recommendations that answer not just “what happened?”, but “what will happen?” and “what should we do?” to enhance the customer experience and grow the bottom line.

Key Responsibilities:

  • Engage with cross-functional stakeholders to build relationships, understand their analytical needs, and align on project scope and timing.

  • Analyze changes in network trends to identify growth opportunities.

  • Leverage advanced modeling skills to generate predictive and prescriptive insights, while supporting self-serve solutions where feasible.

  • Communicate complex findings to non-technical stakeholders through clear, compelling narratives and visualizations.

  • Create and maintain dashboards to monitor key metrics, exploring solutions for near real-time analytics to enable agile responses to changing market conditions.

  • Follow best practices for data validation and quality assurance

  • Seek out and pursue opportunities to leverage AI to spark creativity, process information, and streamline analytical workstreams.

  • Work with data and product teams to maintain accurate, scalable data solutions and enhance shared data resources.

  • Proactively document and share insights with peers, and embrace opportunities to mentor junior team members.

Required Qualifications:

  • Bachelor’s degree in Data Science, Economics, Statistics, Business, or a related field.

  • 5+ years of analytical experience in an e-commerce, marketplace, or related field.

  • Strong proficiency in SQL and data analysis tools such as Python or R.

  • Expertise in data visualization tools such as Looker, Tableau, or Power BI.

  • Demonstrated ability to apply predictive modeling techniques to solve business problems.

  • Excellent communication skills with the ability to translate complex data into actionable business recommendations.

  • Strong project management skills and the ability to manage multiple priorities in a fast-paced environment.

  • Ability to leverage AI to streamline analytical workstreams.

Compensation & Benefits:

  • The base salary band for this position ranges from $100,000 – $150,000, commensurate with experience and performance. Compensation may vary based on factors such as geographic location.

  • 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).

  • 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. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences.

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.

#LI-Remote

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This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

4/5
GuidedFull ownership

Communication Load

5/5
IndependentCollaborative
AI insightThis is a senior, cross-functional analytics role requiring predictive and prescriptive modeling in addition to rigorous reporting. The analyst must independently prioritize multiple business problems and turn technical evidence into decisions for non-technical leaders.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Market rate
$125,000
US market range (per year)$110k–$160k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer discloses a base salary range of $100,000–$150,000 USD. The annual cadence is inferred from the stated US full-time professional base-pay range because the posting does not explicitly state a pay period. Estimated US market base pay for a senior customer-care analytics role is $110,000–$160,000 USD annually; bonus and equity are excluded.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you investigate a decline in customer save rate?

I would first validate metric definitions and data quality, then segment the decline by customer type, contact reason, channel, agent cohort, and time period. I would identify statistically meaningful drivers, review operational changes, and recommend targeted experiments with clear success metrics.

Describe how you would build a churn prediction model for a care organization.

I would define the churn outcome and prediction horizon, assemble behavioral, transaction, service-contact, and satisfaction features, and use time-based validation to avoid leakage. I would assess model performance and calibration, explain key drivers, and operationalize scores into retention actions while monitoring drift and outcomes.

How do you communicate complex model results to non-technical stakeholders?

I lead with the business question, the decision required, and the expected impact rather than model mechanics. I use concise visuals, plain-language explanations of uncertainty, and a recommended action plan supported by the most relevant evidence.

What steps do you take to ensure dashboard metrics are trustworthy?

I document metric logic, reconcile outputs with source systems, test edge cases, and implement automated freshness and anomaly checks. I also establish clear ownership, definitions, and change-management processes so stakeholders understand what each metric represents.

Tell us about a time you managed competing analytical priorities.

I align requests to business impact, urgency, effort, and decision deadlines, then make the trade-offs visible to stakeholders. I deliver a useful initial analysis quickly when appropriate, define milestones for deeper work, and regularly communicate risks or changes in scope.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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