Note: The job is a remote job and is open to candidates in USA. GuideWell is hiring a KPI Customer Decision Intelligence Analyst to join the Customer & Decision Intelligence team. The Analyst will support KPI development, target setting, and performance analysis, working closely with Finance and program owners to provide actionable insights and recommendations.
Responsibilities
- Support the team’s target-setting work — KPI development, baseline construction, target decomposition, plausibility checks, and performance reading. Pull the data, run the analysis, and contribute the read
- Run the recurring performance-read work. Track performance against targets across the enterprise’s KPI portfolio, flag what is moving and where, and contribute to the team’s read on it
- Partner with Finance and program owners on target-setting cycles. Bring the analytical read into the room, help shape the baseline conversation, and translate the discussion into the work the team needs to do next
- Contribute to target-setting recommendations. Hold the writing and visual standard the team expects; help make sure work lands with Finance and program owners in time to change the next planning cycle
- Carry the team’s target-setting standards — baseline methodology, plausibility framing, performance narrative — forward in the work this role contributes
- Read performance across the enterprise’s KPI portfolio. Spot what is moving, contextualize it against history, and surface it to the Sr. Lead, Lead, and Sr. Analyst seats on the team
- Cross-pollinate with the rest of the Decision Intelligence team — marketing measurement, segmentation, experimentation, engagement. Pull those signals into the target-setting and performance-reading work
- Build out craft — methodology fluency, AI-augmented platform fluency, narrative quality — over the early years on the team, with coaching from the Sr. Lead, Lead, and Sr. Analyst seats and from the Sr. Manager
Skills
- 3+ years related work experience
- Experience Details: KPI development, Performance analytics, target-setting, business intelligence, financial analytics, or comparable quantitative analytical work in an enterprise or consultancy setting
- Related Bachelor's degree or additional related equivalent work experience Statistics, Economics, Finance, Quantitative Marketing, Business Analytics, Industrial Engineering, Operations Research, Quantitative Psychology, Applied Math, Behavioral Science, or a related quantitative or social-science discipline
- 1+ Year Hands-on baseline construction, performance reading, or recurring KPI-tracking work
- 1+ Working with business partners (Finance, program owners, or comparable) on analytical questions
- 1+ Years work experience hands-on advanced analytics with SAS/R/Python or similar tool
- Proficiency with SQL
- Strong understanding of statistics
- Working fluency with Tableau, Power BI, Looker, Hex, Sigma, Mode, or comparable
- Fluency with AI-augmented analytical tools — ChatGPT, Claude, Databricks Genie, Snowflake Cortex etc
- Methodological curiosity
Benefits
- Medical, dental, vision, life and global travel health insurance
- Income protection benefits: life insurance, short- and long-term disability programs
- Leave programs to support personal circumstances
- Retirement Savings Plan including employer match
- Paid time off, volunteer time off, 10 holidays and 2 well-being days
- Additional voluntary benefits available
- A comprehensive wellness program
- Competitive pay as well as opportunities for incentive or commission compensation
- Regular annual reviews with pay for performance considerations for base pay increases
Company Overview
Company H1B Sponsorship