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Regression Analysis Jobs (NOW HIRING)

Angi

Senior Manager, Analytics (Customer Care)

Drive structured investigations into metric deterioration Leverage regression analysis, cohort segmentation, and hypothesis testing to isolate drivers of key metrics and distinguish correlation from ...

DiCicco, Gulman & Company

Senior Analyst

Boston, MA · On-site

$95K - $126K/yr

... regression analysis Performing research on accounting and valuation standards and literature Conducting industry, market structure, and competitor-positioning studies Reviewing and summarizing ...

Welltower

Data Scientist

Dallas, TX · On-site

$125K/yr

Apply skills in applied statistics including distributions, correlation, statistical testing, and regression analysis. Apply knowledge of enterprise profitability and business planning and ...

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How much do regression analysis jobs pay per hour?

As of Jul 3, 2026, the average hourly pay for regression analysis in the United States is $32.41, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $37.02 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Regression Analysis position, and why are they important?

Excelling in Regression Analysis requires a solid background in statistics, mathematics, and data interpretation, typically supported by a degree in statistics, mathematics, data science, or a closely related field. Familiarity with analytical tools and programming languages such as R, Python, SAS, or SPSS, and knowledge of data visualization platforms are highly valuable. Strong analytical thinking, attention to detail, and effective communication skills enable clear presentation of complex findings to diverse stakeholders. These competencies are vital for drawing reliable predictive insights, shaping data-driven business decisions, and collaborating seamlessly within multidisciplinary teams.

What is a Regression Analysis job?

A Regression Analysis job involves analyzing data to identify relationships between variables and make predictions. Professionals in this field use statistical techniques, such as linear and logistic regression, to interpret trends and patterns. They often work with large datasets, using tools like Python, R, or Excel to build models that support business decisions. These roles are common in industries like finance, healthcare, and marketing, where data-driven insights are crucial.

What are the typical responsibilities and challenges faced by professionals specializing in regression analysis?

Professionals in regression analysis are primarily responsible for collecting and cleaning data, selecting appropriate statistical models, running regression tests, and interpreting results for actionable insights. One of the key challenges in this role is ensuring the accuracy and validity of models when handling large, complex, or incomplete datasets, as well as communicating technical outcomes to non-technical stakeholders. These roles often involve close collaboration with data scientists, business analysts, and decision-makers to tailor analyses to specific organizational needs. By translating data patterns into understandable recommendations, regression analysts play a vital role in supporting company strategy and operational improvements.

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Regression Analysis jobs near you
Infographic showing various Regression Analysis job openings in the United States as of June 2026, with employment types broken down into 98% Full Time, and 2% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $67,422 per year, or $32.4 per hour.
Senior Manager, Analytics (Customer Care)

Senior Manager, Analytics (Customer Care)

Angi

Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

ANGI rating

7.4

Company rating: 7.4 out of 10

Based on 15 frontline employees who took The Breakroom Quiz

103rd of 223 rated repair and maintenance companies

Job description

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

About the team:
Angi's Care Analytics team is at the center of how we understand, grow, and retain our Pro network. 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. 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.
What you'll do:
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.
  • 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).

Analytical Prioritization & Team Management
  • 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.
  • Define project scopes and ETAs, track delivery, and surface blockers early-including upstream data/engineering dependencies.
  • Champion the Analytics + AI literacy initiative, helping team members build skills in AI-assisted analysis and productivity tooling.

Deep-Dive Investigation & Root Cause Analysis
  • 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.

Stakeholder Partnership
  • 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.
  • 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:
Required:
  • 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); comfortable building and validating complex metric logic from scratch.
  • Experience with retention/cohort analysis, churn modeling, or marketplace analytics.
  • Strong statistical judgment: ability to distinguish meaningful trends from noise, apply regression analysis, and design structured investigations with clear hypotheses.
  • Exceptional written and verbal communication-able to write tight, stakeholder-ready commentary (with appropriate caveats) under time pressure.
  • Demonstrated ability to manage a dynamic project backlog, negotiate priorities with multiple stakeholders, and deliver on competing timelines.
  • AI first mentality who leverages any tool available to increase efficiency, accuracy, and quality of insight generation.

Preferred:
  • 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).
  • Working knowledge of A/B testing and holdout experiment design.
  • Exposure to AI/ML applications in analytics (coaching impact sizing, predictive churn, prospect scoring).
  • Jira or similar project tracking experience for managing analytical work intake.

Compensation & Benefits:
  • 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
  • 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-Hybrid
#LI-Remote

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