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Data Analyst, Marketing (Hybrid)

Rewards Network · Chicago, IL · $80,000–$95,000 a year · Accounting & Finance

Posted Oct 1, 2026 · We last checked this listing on Oct 6, 2026

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Likely interview questions for this role

Written from this job description, not a generic list. Each one notes what the interviewer is really checking.

About your past

Tell me about an insight you found that changed a business decision.

What they are checking: Proof that their analysis leads to action, not just charts.

Tell me about a time you explained a complex analysis to a non-technical audience.

What they are checking: Communication skill, which the posting lists as essential for this role.

What would you do

The Restaurants team asks why sign-ups dropped last month. How would you investigate?

What they are checking: Structured ad-hoc analysis that moves from a vague question to a clear answer.

You sit between Marketing, FP&A, Data Science and Data Architecture. How do you handle it when two teams define a metric differently?

What they are checking: Ability to resolve conflicting definitions so everyone trusts the same numbers.

A stakeholder disagrees with your findings because they don't match their gut. What do you do?

What they are checking: Ability to defend analysis respectfully and stay open to valid challenges.

About the work

Write a SQL query to find the top ten restaurants by revenue growth compared with the prior quarter.

What they are checking: Hands-on SQL skill with window functions or joins, a daily tool for this role.

How do you build a report that leaders actually use instead of ignore?

What they are checking: Whether they design reporting around decisions rather than dumping every available metric.

How would you measure the return on a marketing campaign aimed at restaurants?

What they are checking: Understanding of attribution and incrementality in marketing analysis.

How do you check your numbers before you share them?

What they are checking: Data quality habits that prevent embarrassing mistakes in front of leaders.

What visualization tools have you used, and how do you choose the right chart?

What they are checking: Practical reporting skill and judgment about showing data clearly.

Practice this interview out loud.

Offer builds a real interview for this exact role at Rewards Network from your resume and this job description, asks the questions one at a time, and tells you what landed. The first one is free.

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The full job description

As published by Rewards Network.

About Rewards Network® Rewards Network is a fast-paced, restaurant-focused fintech company that connects restaurants with the world’s most powerful consumer loyalty programs to reward diners through card-linked offers. We are the leading capital provider for restaurants, and our partners—companies like United, Delta, Bilt, Fetch, and Rakuten—are the leaders in their industries. With a strong foundation built over four decades, Rewards Network has delivered enduring value to more than 100,000 restaurants. Our Culture&nbsp; &nbsp; At Rewards Network, you'll be part of a driven and diverse team that excels in collaboration, issue resolution, and taking ownership of both personal growth and the company's success. We take pride in partnering with the world's most powerful loyalty programs to drive full-price paying customers to local restaurants through marketing services and flexible funding options. Our engaging and rewarding environment is designed to help you gain your full potential. &nbsp; Job Overview The Data Analyst, Marketing, will play a critical role in delivering actionable insights to our Restaurants team. This position supports effective decision making and strategic planning through clear reporting, in depth ad-hoc analysis, and strong communication skills. The Data Analyst will sit at the crossroads of Marketing, FP&A, Data Science, and Data Architecture, helping translate complex business and customer data into insights that drive transformational business value. The ideal candidate combines a strong sense of curiosity with strong quantitative and qualitative analytical skills. This role is well suited for an analytical problem-solver who can move beyond reporting to uncover insights, challenge assumptions, and help shape strategies that improve customer value and business performance. &nbsp; This is a hybrid position and requires in-office presence Tuesday through Thursday each week in Chicago. What&nbsp; you’ll bring to the table: (Responsibilities)&nbsp; &nbsp; • Discover new customer insights and trends related to our restaurant customer base • Translate complex data into actionable customer insights that afford the improvement and creation of go-to-market materials, processes, and presentations for our distribution teams • Partner with cross-functional and customer-focused teams to gather customer insights, understand their needs, identify risks, opportunities, and emerging trends to better serve customers • Create, prepare, report, and communicate monthly and quarterly reports for senior management that translate analytical findings into business actions • Collaborate with data science, data, marketing, products, to create meaningful value for our restaurant customers` Do you have the right mix of ingredients: (Requirements) • Discover new customer insights and trends related to our restaurant customer base • Translate complex data into actionable customer insights that afford the improvement and creation of go-to-market materials, processes, and presentations for our distribution teams • Partner with cross-functional and customer-focused teams to gather customer insights, understand their needs, identify risks, opportunities, and emerging trends to better serve customers • Create, prepare, report, and communicate monthly and quarterly reports for senior management that translate analytical findings into business actions • Collaborate with data science, data, marketing, products, to create meaningful value for our restaurant customers • Bachelor’s degree in Finance, Data Analytics, Computer Science, Economics, or related field • 2-5 years of experience in corporate finance, data analytics or financial analysis. Education, Certifications and Experience: Preferred • Master of Science in Computer Science or Business Analytics What&nbsp; you’ll love about us: <span class="EOP SCXW109147879 BCX0" data-ccp-props="{"134245418":true,"134245529":true,"201341983":0,"335559738":40,"335559739":0,"335559740":259}">&nbsp; Comprehensive benefits package, which includes: • This is a full-time, exempt position and the base compensation for this opening in Chicago is expected to be $80,000-$95,000 annualized, depending on level, candidate experience, skills, and other factors. This position will be eligible for an annual bonus program with a 7.5% bonus target for total at target of $86,000-$102,125. • Competitive Paid Time Off and company holidays • Generous dining reimbursement when you dine with our restaurant clients&nbsp; • 401(k) plan with a company match • Two medical plan options- Standard PPO or High Deductible Health Plan (HSA with company match for HDHP participants) • Partnership with Rx n Go, offering certain prescriptions for free • Two dental plan options and a vision plan • Flexible Spending Accounts and a pre-tax commuter benefit program • Accident, Critical Illness, and Hospital Indemnity Insurance Plans • Short Term and Long Term disability&nbsp; • Company-paid life insurance and AD&D insurance, supplemental employee, spouse, and child life insurance&nbsp; • Employee Life Assistance Program • Hybrid working space in our state of the art office downtown located by the Metra and Ogilvie train stations • Catered lunches provided on Tuesday's in our Chicago office Rewards Network is an Equal Opportunity Employer (EOE). We encourage and strongly support workplace diversity. Expected Pay Range $80,000 &mdash; $95,000 USD

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