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Analyst, Digital & Loyalty Analytics

Panera Bread

Newton, MAHybridFull-time$84–95K/yrPosted 2w agoVerified open 5 days ago
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At a glance

Compensation
$84–95K/yr
Location
Newton, MAHybrid
Schedule
Full-time
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

Panera Bread is hiring an Analyst, Digital & Loyalty Analytics. The Analyst, Digital & Loyalty Analytics serves as the quantitative engine for Panera’s loyalty and customer intelligence team, writing complex SQL queries, analyzing transactional data, measuring campaign performance, and building automated Power BI dashboards to inform decisions across the MyPanera Loyalty program and digital channels.

Key focus areas include Write clean, efficient SQL queries to extract, transform, and aggregate guest and campaign data., Analyze loyalty offer performance, redemption rates, incremental sales, and margin impact., and Design, deploy, and maintain Power BI dashboards tracking loyalty KPIs..

Important skills include SQL, Tableau, Power BI, Snowflake, BigQuery, and Excel.

Skills & qualifications

RequiredNice to have

Skills

SQLTableauPower BISnowflakeBigQueryExcelA/B TestingData VisualizationBusiness IntelligenceCommunication

Qualifications

1–3 Years Data Analytics ExperienceBachelor’s Degree in Analytics or Related Quantitative FieldRetail, QSR, E‑Commerce or Agency BackgroundDegree in StatisticsDegree in Industrial EngineeringDegree in Computer ScienceDegree in FinanceDegree in Business

Full job description

Analyst, Digital & Loyalty Analytics

Job Purpose:

The Analyst, Digital & Loyalty Analytics is the hands-on quantitative engine for Panera’s loyalty and customer intelligence team. Sitting within the Business Analytics organization, you will write complex queries, analyze guest transactional data, measure CRM campaign performance, and build automated dashboards that drive decision-making across the MyPanera Loyalty program and digital channels.

This role requires strong technical execution in SQL and visualization tools, combined with a natural curiosity for consumer behavior and digital product performance.

Location: Newton, MA (Hybrid – 3 days per week in-office)

Key Responsibilities:

  • Data Extraction & SQL Execution: Write clean, efficient SQL queries to extract, transform, and aggregate guest, transaction, and campaign data across large-scale enterprise data environments.
  • CRM & Loyalty Campaign Measurement: Analyze the performance of loyalty offers, email/app messaging, and personalized promotions to measure redemption rates, incremental sales, transaction lift, and margin impact.
  • Dashboard & Visualization Development: Design, deploy, and maintain high-impact Power BI dashboards tracking key loyalty KPIs, including active member growth, subscription retention (Unlimited Sip Club), and customer lifecycle trends.
  • A/B Testing & Experimentation Support: Execute readout evaluations for marketing tests and digital feature rollouts, applying statistical methods to measure baseline vs. test performance and incremental lift.
  • Customer Segmentation & Behavioral Analysis: Perform ad-hoc exploratory analysis to understand guest frequency patterns, lapsed behavior, category affinity, and trade-down risks.
  • Data Integrity & Validation: Partner with data engineering teams to validate data pipelines, test tracking schemas, and resolve data quality issues across CRM and loyalty databases.

Qualifications:

  • Experience: 1–3 years of hands-on experience in data analytics, business intelligence, or marketing analytics (Retail, QSR, E-commerce, or agency background preferred).
  • Technical Skills:
  • Strong hands-on SQL skills required (joins, window functions, complex aggregations).
  • Experience with business intelligence and data visualization tools (Tableau, Power BI, or similar).
  • Familiarity with cloud data platforms (Snowflake, BigQuery) and Excel.
  • Analytical Mindset: Foundational knowledge of digital/loyalty metrics (e.g., offer redemption, customer retention, A/B test lift, conversion rates).
  • Communication: Ability to summarize analytical findings clearly in slide format and discuss results with cross-functional partners.
  • Education: Bachelor’s degree in Analytics, Statistics, Industrial Engineering, Computer Science, Finance, Business, or a related quantitative field.

Competitive Pay: $83,686 - $95,402 annually Equal Opportunity Employer: Disabled/Veterans

The actual pay offered will be determined by multiple factors, including but not limited to the candidate’s relevant experience, job-related knowledge, skills, and geographical location. Individual compensation decisions are dependent upon the facts and circumstances of each position and candidate.

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