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Customer Analytics Jobs (NOW HIRING)

Acrisure

Manager, Customer Analytics

Cleveland, OH · On-site

$1 - $2/hr

What You'll Do We are seeking a Manager of Data Analytics to enhance our customer insights function within a fast-growing SaaS payroll company. This role will be responsible for transforming data ...

subway

Sr. Analyst, Customer Analytics

Miami, FL

$84K - $111K/yr

Customer and Loyalty Analytics * Analyze guest and member behavior across acquisition, engagement, retention, churn risk, and lifetime value. * Measure loyalty program performance: member growth ...

subway

Sr. Analyst, Customer Analytics

Miami, FL

$84K - $111K/yr

Customer and Loyalty Analytics * Analyze guest and member behavior across acquisition, engagement, retention, churn risk, and lifetime value. * Measure loyalty program performance: member growth ...

Acrisure

Manager, Customer Analytics

Oklahoma City, OK · On-site

$1 - $2/hr

What You'll Do We are seeking a Manager of Data Analytics to enhance our customer insights function within a fast-growing SaaS payroll company. This role will be responsible for transforming data ...

subway

Sr. Analyst, Customer Analytics

Miami, FL

$84K - $111K/yr

Customer and Loyalty Analytics * Analyze guest and member behavior across acquisition, engagement, retention, churn risk, and lifetime value. * Measure loyalty program performance: member growth ...

subway

Sr. Analyst, Customer Analytics

Miami, FL · On-site

$84K - $111K/yr

Customer and Loyalty Analytics * Analyze guest and member behavior across acquisition, engagement, retention, churn risk, and lifetime value. * Measure loyalty program performance: member growth ...

subway

Sr. Analyst, Customer Analytics

Miami, FL

$84K - $111K/yr

Customer and Loyalty Analytics * Analyze guest and member behavior across acquisition, engagement, retention, churn risk, and lifetime value. * Measure loyalty program performance: member growth ...

subway

Sr. Analyst, Customer Analytics

Miami, FL

$84K - $111K/yr

Customer and Loyalty Analytics * Analyze guest and member behavior across acquisition, engagement, retention, churn risk, and lifetime value. * Measure loyalty program performance: member growth ...

subway

Sr. Analyst, Customer Analytics

Miami, FL

$84K - $111K/yr

Customer and Loyalty Analytics * Analyze guest and member behavior across acquisition, engagement, retention, churn risk, and lifetime value. * Measure loyalty program performance: member growth ...

Ra

Customer Analytic Manager

Philadelphia, PA · On-site

Job Title: Customer Analytics Manager Job Location: Anywhere in USA, Philadelphia, PA, USA Job Level: Senior Level This is what you will do.. You will help to grow clients practice in the ...

Ra

Customer Analytic Manager

Hartford, CT · On-site

Customer Analytics Manager Job Location: Anywhere in USA, Hartford, Connecticut, United States Job Level: Senior Level This is what you will do.. You will help to grow clients practice in the ...

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All JobsCustomer Analytics Jobs

Customer Analytics information

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How much do customer analytics jobs pay per hour?

As of Jun 14, 2026, the average hourly pay for customer analytics in the United States is $19.67, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.63 per hour, depending on experience, location, and employer.

What does a customer analyst do?

A customer analyst examines customer data to identify trends, behaviors, and preferences that can inform marketing and sales strategies. They use tools like Excel, SQL, or data visualization software to analyze large datasets and generate reports for decision-making. Strong analytical skills and understanding of customer segmentation are essential for this role.

What is the role of customer analytics?

Customer analytics involves analyzing customer data to understand behaviors, preferences, and trends, helping businesses make informed decisions. Customer analytics professionals use tools like data visualization and statistical analysis to improve marketing strategies, customer retention, and sales performance.

What are the key skills and qualifications needed to thrive in Customer Analytics, and why are they important?

To thrive in Customer Analytics, you need strong analytical skills, proficiency in statistics, and a background in fields like mathematics, business, or data science. Familiarity with technical tools such as SQL, Python or R, and experience with data visualization platforms like Tableau or Power BI are typically required. Excellent communication, problem-solving, and business acumen are important soft skills for translating data insights into actionable strategies. These skills ensure you can extract meaningful customer insights, drive business decisions, and contribute to organizational growth.

How do professionals in Customer Analytics typically collaborate with marketing and product teams?

Customer Analytics professionals frequently work closely with marketing and product teams to translate data insights into actionable strategies. They often participate in cross-functional meetings, sharing findings from customer behavior analyses to help refine marketing campaigns or inform product enhancements. This collaboration requires strong communication skills, as they must present complex data in a way that is accessible to non-technical stakeholders. The role often bridges the gap between raw data and business strategy, making teamwork and adaptability essential for success.

Is 40 too late for data science?

Customer Analytics roles often value skills and experience over age, and many professionals transition into data science at various stages of their careers. Learning relevant tools like SQL, Python, or R and gaining certifications can help improve prospects regardless of age, making 40 not necessarily too late to pursue a data science career.

What is customer analytics?

Customer analytics is the process of collecting and analyzing data about customers’ behaviors, preferences, and interactions with a business. This information helps companies understand their customers better, segment their audience, and tailor products, services, and marketing strategies to meet specific needs. By leveraging customer analytics, organizations can enhance customer satisfaction, improve retention rates, and increase overall business performance. It often involves the use of data analysis tools, customer relationship management (CRM) systems, and predictive modeling to make informed decisions.

What is the difference between Customer Analytics vs Customer Data Analyst?

AspectCustomer AnalyticsCustomer Data Analyst
Primary FocusAnalyzing customer data to identify trends and insights for strategic decision-makingCollecting, cleaning, and interpreting customer data for reporting and operational purposes
Skills & CertificationsData analysis, statistical skills, knowledge of analytics tools, possibly marketing backgroundData management, SQL, Excel, basic analytics skills, often with a focus on data reporting
Work EnvironmentMarketing, business intelligence teams, often in data-driven companiesData teams, IT departments, or customer service units within organizations

Customer Analytics professionals focus on deriving strategic insights from customer data to inform marketing and business decisions. Customer Data Analysts handle data collection and reporting tasks to support operational needs. While both roles require data skills and work with customer data, Customer Analytics emphasizes strategic analysis, whereas Customer Data Analysts focus on data management and reporting.

Is a data analyst a high salary?

Data analysts, including those in customer analytics, typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but experienced analysts with skills in SQL, Excel, and data visualization tools often earn higher wages, making it a financially rewarding career for many professionals.
More about Customer Analytics jobs
What cities are hiring for Customer Analytics jobs? Cities with the most Customer Analytics job openings:
What are the most commonly searched types of Customer Analytics jobs? The most popular types of Customer Analytics jobs are:
What states have the most Customer Analytics jobs? States with the most job openings for Customer Analytics jobs include:
What job categories do people searching Customer Analytics jobs look for? The top searched job categories for Customer Analytics jobs are:
Customer Analytics jobs near you
Infographic showing various Customer Analytics job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 95% Full Time, 1% Temporary, and 3% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $40,910 per year, or $19.7 per hour.
Manager, Customer Analytics

Manager, Customer Analytics

Acrisure

Cleveland, OH • On-site

$1 - $2/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Job description

Job Description

What You'll Do

We are seeking a Manager of Data Analytics to enhance our customer insights function within a fast-growing SaaS payroll company. This role will be responsible for transforming data into actionable insights to drive improvement opportunities, improve customer retention, and drive upsell revenue.

The ideal candidate combines strong technical expertise (SQL, data modeling, BI tools) with a deep understanding of SaaS metrics and customer lifecycle dynamics. This leader will build predictive models, define customer health scoring, and partner cross-functionally to drive measurable business impact.

This role sits at the center of our growth strategy. By identifying why customers leave-and enabling the business to act early-you will directly impact retention, expansion, and long-term revenue.

What Success Looks Like (First 6-12 Months)

  • A clear, trusted definition of churn and retention across the business

  • Improved early risk detection that leads to a reduction in churn

  • A production-ready churn prediction model with measurable lift

  • A standardized customer health score adopted by Customer Success

  • Executive dashboards that drive decisions, not just reporting

Key Responsibilities

Customer Churn & Retention Analytics

  • Identify and quantify key drivers of customer churn across segments

  • Build and maintain churn prediction models using behavioral, transactional, and engagement data

  • Conduct cohort and churned vs. retained analysis to uncover retention patterns and risk signals

  • Translate insights into clear, actionable recommendations for Customer Success, Product, and Sales teams

Customer Health & Lifecycle Insights

  • Design and operationalize a scalable customer health scoring framework

  • Define leading indicators of customer risk and expansion opportunity

  • Partner with Customer Experience and Success and Operations teams to embed health scores into daily workflows

Data Integration & Modeling

  • Integrate and model data across core systems: Salesforce, Genesys, Pendo, Qualtrics and Power BI

  • Build scalable data models to support self-service analytics and reporting

  • Ensure data accuracy, consistency, and governance across systems

Reporting & Visualization

  • Develop executive-level dashboards that track churn, retention, LTV, and customer health

  • Move beyond descriptive reporting to diagnostic and predictive insights

  • Standardize KPI definitions across the organization

Cross-Functional Leadership

  • Partner with Operations, Customer Experience/Success, Product, Sales, and Finance to align on metrics and insights

  • Influence strategy through data storytelling and business cases

  • Act as a translator between technical teams and business stakeholders

What Are We Looking for in this Role?

  • 8+ years in data analytics, business intelligence, or data science roles (preferably in SaaS)

  • Advanced SQL skills (non-negotiable; ability to work with large, complex datasets)

  • Hands-on experience building predictive models (churn, propensity, or customer scoring)

  • Strong experience with BI tools, especiallyPower BI

  • Experience integrating and analyzing data from systems likeSalesforce,Genesys, andPendo

  • Deep understanding of SaaS metrics (churn, customer count retention, GRR, NRR, LTV)

  • Strong analytical thinking and ability to connect data to business outcomes

What are our Desired Skills and Capabilities?

  • Experience in payroll, HR tech, or SMB-focused SaaS businesses

  • Experience building customer health scoring frameworks from scratch

  • Background working closely with Customer Success or CX organizations

  • Familiarity with Python or R for statistical modeling and machine learning

  • Experience with experimentation (A/B testing) and causal inference

What we offer

  • Competitive compensation and performance incentives.

  • Comprehensive benefits package.

  • Collaborative, mission-driven culture with high visibility and impact.

#auris

Pay Details:

The base compensation range for this position is $1 - $2. This range reflects Acrisure's good faith estimate at the time of this posting. Placement within the range will be based on a variety of factors, including but not limited to skills, experience, qualifications, location, and internal equity.

Candidates should be comfortable with an on-site presence to support collaboration, team leadership, and cross-functional partnership.

Why Join Us:

At Acrisure, we're building more than a business, we're building a community where people can grow, thrive, and make an impact. Our benefits are designed to support every dimension of your life, from your health and finances to your family and future.

Making a lasting impact on the communities it serves, Acrisure has pledged more than $22 million through its partnerships with Corewell Health Helen DeVos Children's Hospital in Grand Rapids, Michigan, UPMC Children's Hospital in Pittsburgh, Pennsylvania and Blythedale Children's Hospital in Valhalla, New York.

Employee Benefits

We also offer our employees a comprehensive suite of benefits and perks, including:

  • Physical Wellness: Comprehensive medical insurance, dental insurance, and vision insurance; life and disability insurance; fertility benefits; wellness resources; and paid sick time.

  • Mental Wellness: Generous paid time off and holidays; Employee Assistance Program (EAP); and a complimentary Calm app subscription.

  • Financial Wellness: Immediate vesting in a 401(k) plan; Health Savings Account (HSA) and Flexible Spending Account (FSA) options; commuter benefits; and employee discount programs.

  • Family Care: Paid maternity leave and paid paternity leave (including for adoptive parents); legal plan options; and pet insurance coverage.

  • ... and so much more!

This list is not exhaustive of all available benefits. Eligibility and waiting periods may apply to certain offerings. Benefits may vary based on subsidiary entity and geographic location.

Acrisure is an Equal Opportunity Employer. We consider qualified applicants without regard to race, color, religion, sex, national origin, disability, or protected veteran status. Applicants may request reasonable accommodation by contacting leaves@acrisure.com.

Final candidates will be required to complete post-offer verification processes related to the role and in accordance with applicable laws.

California Residents: Learn more about our privacy practices for applicants by visiting the Acrisure California Applicant Privacy Policy.

Recruitment Fraud: Please visit here to learn more about our Recruitment Fraud Notice.

Welcome, your new opportunity awaits you.

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