Data Analyst II, Revenue Operations

Collective Health

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profile Job Location:

Lehi, UT - USA

profile Monthly Salary: Not Disclosed
Posted on: 29-08-2025
Vacancies: 1 Vacancy

Job Summary

At Collective Health were transforming how employers and their people engage with their health benefits by seamlessly integrating cutting-edge technology compassionate service and world-class user experience design.

The Revenue Operations team drives critical go-to-market (GTM) programs across Sales and Client Success ensuring our commercial execution aligns seamlessly with Collective Healths growth strategies. Our portfolio spans Performance Guarantees Salesforce optimization commercial reporting and analytics performance management and strategic market planning. As internal consultants we partner with leaders and cross-functional teams to define organize and execute GTM initiatives that unlock growth and measure impact. We work closely with Product Marketing Sales Client Success Partnerships Customer Experience and Finance to ensure strategies are successfully implemented. You will be reporting to the Director of Revenue Operations.

What youll do:

In this role youll use strong analytical skills to turn complex data into clear actionable insights that drive decisions. Youll support scalable growth by building reports automating workflows and enhancing program oversight through innovative technology and process improvements. Success will require a balance of technical expertise and cross-functional collaboration ensuring data is connected to business context and communicated clearly to non-technical audiences.

Make an Impact on High-Visibility Deals through PG Program Support

The Performance Guarantee (PG) program is a key part of how we win and deliver value to clients. You will support it through data preparation reporting and cross-functional collaboration:

  • Prepare and manage PG quote sheets and related data directly influencing win and renewal rates
  • Build and automate reporting to measure program success and inform leadership decisions (I.e. Looker Google Data Studio (Looker Studio) SQL Google Apps Script Python)
  • Ensure financial precision by maintaining the PG Service Level Tracker a critical tool Finance uses to calculate client payouts
  • Collaborate with senior leaders by partnering with the PG Program Manager on cross-functional reviews and the creation of innovative PG offerings
  • Shape the future of our deals by analyzing past PG performance trends to guide smarter more competitive structuring
  • Collaborate with the Data Operations team to translate business needs into data requirements building automated data pipelines that deliver reliable actionable insights
Salesforce Optimization & Data Quality Improvement
  • Make salesforce workflows smoother and reduce manual work by improving the system
  • Be a champion of data quality by keeping Salesforce data clean through checking and cleaning records and setting clear entry rules data ownership
  • Team up with Sales Client Success and Marketing to agree on data standards and reporting needs
  • Create Salesforce reports and dashboards that give clear insights into the business
  • Enable adoption of Salesforce by assisting with testing creating documentation and developing training materials

Commercial Performance Reporting & Analysis

  • Enable visibility into key performance areas by building and maintaining reports and dashboards in Salesforce Google Sheets and Looker Studio
  • Track commercial performance through weekly and monthly reporting for leadership and cross-functional partners
  • Tackle special analytical projects such as win/loss analysis market opportunity assessments territory optimization evaluating broker performance and measuring marketing campaign impact
  • Make data digestible by turning complex datasets into clear visuals and concise summaries for a variety of audiences

To be successful in this role youll need:

  • Must currently be located within commuting distance of Lehi UT (required)
  • 2 years in an analytical or data reporting role with experience translating data into clear actionable business insights
  • Proficiency in Google Sheets/Excel including pivot tables advanced formulas and data cleansing
  • Experience building and automate reporting and ability to learn new tools (I.e. Looker Google Data Studio (Looker Studio) SQL Google Apps Script Python Gemini AI)
  • Hands-on experience with Salesforce (required)for data entry reporting and basic dashboard building
  • Ability to connect data insights to business priorities and communicate them effectively to both technical and non-technical audiences
  • Exceptional attention to detail and organizational skills to manage multiple projects at once
  • Strong communication and collaboration skills to work with stakeholders across Sales Marketing Client Success and other teams
  • Experience supporting B2B sales marketing or client success teams

Pay Transparency Statement

This is a hybrid position based out of our Lehi office with the expectation of being in office at least two weekdays per week. #LI-hybrid

The actual pay rate offered within the range will depend on factors including geographic location qualifications experience and internal addition to the salary you will be eligible for stock options and benefits like health insurance 401k and paid time off. Learn more about our benefits at UT Pay Range

$75200$93750 USD
At Collective Health were transforming how employers and their people engage with their health benefits by seamlessly integrating cutting-edge technology compassionate service and world-class user experience design.The Revenue Operations team drives critical go-to-market (GTM) programs across Sales ...
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Key Skills

  • Data Analytics
  • Microsoft Access
  • SQL
  • Power BI
  • R
  • Data Visualization
  • Tableau
  • Data Management
  • Data Mining
  • SAS
  • Data Analysis Skills
  • Analytics

About Company

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Collective Health offers the first integrated solution that empowers employers to administer plans, manage costs, and take care of their people—all in one place.

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