Manager, Customer Analytics

Acrisure

Manager of Data Analytics for a fast-growing SaaS payroll company. Transforming data into insights to drive retention and revenue.

Posted 7/6/2026full-timeOklahoma City • Ohio, Oklahoma • 🇺🇸 United StatesSeniorLead💰 $1 - $2 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in building and maintaining churn prediction models, integrating data across systems, and developing actionable insights to drive customer retention and expansion in a SaaS environment. Proficient in advanced SQL and BI tools like Power BI to support data-driven decision-making.

Highest-signal resume keywords

Advanced SQL SkillsPredictive Modeling ExperiencePower BI ProficiencySaaS Metrics UnderstandingData Integration Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalyticsBusiness IntelligencePredictive ModelingChurn AnalysisCustomer ScoringData GovernanceKPI StandardizationCohort AnalysisData StorytellingStatistical Analysis

Soft Skills

Analytical ThinkingCommunicationCollaborationInfluencing StrategyTranslating Insights

Tools & Technologies

SalesforceGenesysPendoQualtricsPower BI

Industry Keywords

Customer ChurnRetention PatternsCustomer Health ScoringSaaSLTVGRRNRRCustomer SuccessData GovernanceSelf-Service Analytics

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

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
Design and operationalize a scalable customer health scoring framework
Define leading indicators of customer risk and expansion opportunity
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
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
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

Requirements

What you’ll need

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, especially Power BI
Experience integrating and analyzing data from systems like Salesforce, Genesys, and Pendo
Deep understanding of SaaS metrics (churn, customer count retention, GRR, NRR, LTV)
Strong analytical thinking and ability to connect data to business outcomes.

Benefits

Comp & perks

Competitive compensation and performance incentives.
Comprehensive benefits package.
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.