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Rewards Network

Portfolio Analyst, FP& A (Hybrid)

Chicago, IL ; Rewards Network Headquarters United States
Accounting & Finance
POSTED 14 OCT
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Role
26 days opentrue age
Posted 14 Oct
Payats field
$75k–85kposted
▼ −17% vs market median $96k
$66k$147k
Market p25–p75
$66k–$147k
Chicago · n=579 · 365d to 6 Nov
CompanyRewards Network →
51open roles
Opened · 30d
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Closed · 30d
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416,358open · Other
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623,730open
All tracked boards · live 10 Nov · n=416,358
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About Rewards Network

Celebrating 41 years in business, Rewards Network has helped restaurants increase their revenue, traffic, and customer engagement through our innovative financial, marketing services, and premier dining rewards programs. We connect diners to fantastic restaurant experiences by offering unique card-linked offers. Our offers leverage advanced technology and powerful data analytics, providing value to our restaurants, diners, and strategic partners' loyalty programs.

Our Culture

At Rewards Network, you will find a passionate and diverse group of professionals that enjoy working collaboratively, solving problems, and taking ownership of not only their own careers and success, but the success and continued growth of the organization. We take pride in partnering with the world's most powerful loyalty programs to bring full price paying customers and better ways to access working capital options to local restaurants. We offer a challenging and rewarding environment where you can maximize your potential.

Job Overview

The Portfolio Analyst plays a critical role in monitoring the performance of our restaurant partners and proactively managing revenue and client health. This position has a direct impact on client satisfaction, retention, and corporate revenue through in-depth analysis of customers’ activity, account performance, and revenue contribution.

Working closely with cross functional partners, the Portfolio Analyst will analyze complex customer, business, and billing data to identify trends, anomalies, risks, and opportunities that will drive growth and value for the organization and its restaurant customers. The Portfolio Analyst will proactively communicate key findings and potential risks to management and the Service teams on a daily and weekly basis, enabling timely action to protect revenue, strengthen customer relationships, and improve business performance. The ideal candidate combines strong data analysis skills with curiosity, attention to detail, and the ability to connect data trends to business outcomes.

This is a hybrid position in our Chicago office 3 days a week (Tuesday-Thursday)

What you’ll bring to the table: (Responsibilities)

  • Translate complex data into actionable customer insights that help improve customer value, retention, and enhance customer experience
  • Conduct detailed analysis of customer data to assess performance, identify trends, and make decisions that optimize both revenue and client retention across the portfolio
  • Investigate drivers behind billing and revenue fluctuations, unusual activity, and partner with relevant teams to develop and implement solutions
  • Develop and maintain financial models to proactively manage customer accounts from a revenue and billing perspective, identifying risks and opportunities to better serve our restaurant clients
  • Perform scenario and sensitivity analysis to evaluate the expected financial impact of different revenue management strategies
  • Automate and continuously improve models to forecast more accurately and improve decision making
  • Collaborate with product, partner, technology, and customer-facing teams to gather data and customer insights to better understand customer needs and emerging trends
  • Communicate insights about client performance to educate key stakeholders, highlighting key drivers and solutions as needed
  • Prepare ad hoc analysis, reports, and business insights to support better informed decisions

Do you have the right mix of ingredients: (Requirements)

  • Bachelors in Business Administration, Accounting, Finance, or Computer Science
  • 2-5 years of experience in financial analysis, data analytics or corporate finance
  • Strong skill and interest in modeling and analysis, with a demonstrated history of success in both
  • Advanced in Microsoft Office Suite - especially Excel, Power Query, and PowerBI (SQL and Python preferred)
  • Strong understanding of data management and structuring
  • Ability to manage large datasets (data integration, data preprocessing and exploratory data analysis)
Source · Rewards NetworkFirst seen 7 NovOriginal ↗