Customer Research Statistical Analyst 2

Kum & Go; Salt Lake City (UT); On-site; USD 75,000 - 85,000; Full time

Benefits offered by this job

Full Health, Dental, and Vision Packages

In-Store and Fuel Discounts

401K with company match

Annual incentive bonus program

Profit Sharing

Comprehensive Paid Time-Off Policy

Job summary

A retail company is looking for a Customer Research Statistical Analyst 2 to support strategic decision-making through advanced analytics. In this role, you'll analyze customer behavior and provide insights to enhance the customer experience and drive engagement. The ideal candidate will have 3+ years in quantitative analysis, strong skills in SQL and R or Python, and experience with visualization tools like Tableau. This role offers a competitive salary range of $75,000–$85,000, plus benefits including health packages and retirement plans.

Qualifications

• 3+ years of experience in statistical or advanced quantitative analysis.
• Hands-on expertise with SQL and R or Python.
• Experience with data visualization tools like Tableau or Power BI.
• Proficiency in A/B and multivariate testing frameworks.
• Strong data storytelling skills.

Responsibilities

• Translate complex customer datasets into actionable insights.
• Serve as a strategic advisor to leadership.
• Lead analysis of multi-source customer data.
• Develop dashboards and KPIs to communicate performance.
• Analyze survey data and recommend improvements.

Skills

Statistical analysis

SQL

R or Python

Data visualization

Reporting

Communication

Problem-solving

Tools

Tableau

Power BI

Excel

Job description

Customer Research Statistical Analyst 2 – Kum & Go

Position Summary & Day-to-Day Responsibilities

This role serves as a strategic analytics partner, using advanced statistical techniques to uncover customer insights and influence high-impact business decisions. Day-to-day, you’ll analyze customer behavior, test marketing initiatives, and provide executives with data-backed recommendations to enhance our customer experience.

• Translate complex customer datasets into actionable insights for Marketing, Loyalty, Promotions, and Digital teams.
• Serve as a strategic advisor to leadership, identifying opportunities to drive engagement, loyalty, and incremental sales.
• Lead analysis of multi-source customer data to uncover behavioral drivers, segmentation opportunities, and emerging trends.
• Design, execute, and evaluate A/B and multivariate tests across loyalty programs, marketing campaigns, and promotional offers.
• Develop and maintain dashboards, KPIs, and measurement frameworks that clearly communicate performance and impact.
• Analyze survey data, CSAT, NPS, and customer sentiment to identify friction points and recommend CX improvements.
• Build advanced customer profiles and predictive models to support personalized marketing and lifecycle strategies.
• Deliver narrative-driven reports and presentations that simplify complex analytics for cross-functional partners and executives.
• Continuously explore new methods, tools, and data sources to elevate customer understanding and decision‑making.

Qualifications

• 3+ years of experience in statistical, financial, customer, or advanced quantitative analysis, with a track record of driving measurable impact.
• Hands‑on expertise with SQL and either R or Python for statistical modeling and data manipulation.
• Experience using data visualization and BI tools such as Tableau or Power BI to create executive‑ready dashboards.
• Proficiency in designing and interpreting A/B and multivariate testing frameworks for marketing or product optimization.
• Strong data storytelling skills—able to translate analytics into clear, compelling insights for non‑technical audiences.
• The Maverik Spirit – you’re a clear communicator, team player, and problem‑solver who thrives in a fast-paced environment.

Bonus Points

• Experience working closely with Marketing, Loyalty, Customer Experience, or Digital Product teams.
• Familiarity with customer segmentation, predictive modeling, and lifecycle marketing strategies.
• Advanced Excel skills and experience integrating demographic, psychographic, and behavioral datasets.

Compensation & Benefits

Pay Range: $75,000–$85,000 + DOE and Bonus Opportunities

Benefits Include:

• Full Health, Dental, and Vision Packages with company contribution
• In‑Store and Fuel Discounts
• Retirement plan with company match (401K)
• Eligible for the annual incentive bonus program
• Profit Sharing: When Maverik succeeds, so do you
• Comprehensive Paid Time‑Off Policy, along with additional perks and benefits