Job OverviewThe 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.
This is a hybrid position and requires in-office presence Tuesday through Thursday each week in Chicago.What you'll bring to the table: (Responsibilities)- 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 you'll love about us: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
- 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
- Company-paid life insurance and AD&D insurance, supplemental employee, spouse, and child life insurance
- 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
Expected Pay Range
$80,000-$95,000 USD
