Jobs · Marketing · Wisconsin

Customer Marketing Analyst

Blain's Farm & Fleet (Blain Supply, Inc.) · Janesville, WI · 3 wk ago
On-siteMarketing$66k–$83k/yrFull-time

Benefits

  • Medical, prescription, dental, vision coverage
  • Short & long term disability
  • Life insurance
  • Ancillary benefits
  • Identity theft protection
  • Pet insurance
  • All major holidays and birthday off
  • Advanced leadership training programs
  • Associate discount on name brands (Carhartt, Under Armour, STIHL, Milwaukee Tool, DeWalt, etc.)
  • Internal recognition programs supporting an engaged workplace
  • 401(K) with company match

Associates hired into a full-time role become eligible for the above benefits effective their 91st day of full-time employment.

Pay

Base pay starting between $66,300 and $82,900 per year. Compensation decisions are based on experience, training, work location, required travel, and market conditions; the posted range may vary.

Responsibilities

  • Provide customer analytics using SQL and Snowflake to extract, analyze, and interpret large and complex datasets across multiple sources.
  • Pull, manage, and analyze data from Customer Data Platforms (CDPs) to support audience segmentation, customer targeting, personalization, and measurement.
  • Partner cross‑functionally with Marketing, Merchandising, Private Brand, E‑commerce, Research, Store Operations, and other teams to understand business needs and deliver data‑driven insights.
  • Analyze customer shopping behavior, transaction data, and engagement patterns to inform customer strategy, lifecycle optimization, and business decisions.
  • Measure brand performance at each stage of the customer lifecycle and build data‑driven CRM campaigns with marketing operations to support brand goals.
  • Apply advanced tools, analytical skills, and experience to integrate website behavioral and transaction data with other data platforms and conduct statistical analysis.
  • Use consumer data platform tools to manage and execute audience segmentation strategies based on data‑driven customer insights.
  • Independently identify business questions and opportunities, assess key drivers, and recommend data‑supported solutions.
  • Transform findings into compelling presentations, including graphs, charts, or dashboards, aimed at answering key business questions and present to senior leadership and key stakeholders.
  • Design, build, and maintain Power BI dashboards that improve efficiency, consistency, and accessibility of recurring reporting and insights.
  • Use sophisticated analytical or problem‑solving techniques to identify root cause of issues.
  • Consult with leadership partners to define analytical priorities, success metrics, and data needs for critical initiatives.
  • Audit & monitor Rewards Member pricing initiatives (including offer set up, pricing audits, store signage).
  • Support quarterly and annual reporting needs through automated dashboards and standardized reporting frameworks.
  • Review and fulfill ad hoc analysis requests from business partners across customer, program, offer, channel, and product needs.
  • Identify segmentation opportunities for CGP offers & commitments for marketing.
  • Review standard ad hoc analysis requests from all levels of business partners for customer, program, offer and/or channel needs.
  • Develop end‑to‑end project timelines for analysis deliveries.
  • Review relevant data sets and analyses to develop detailed and informed insights and implications to inform strategy and decisions.
  • Organize insights, data, and visualizations into comprehensive stories for distribution to leadership partners in support of internal business decisions.
  • Perform other duties as assigned.

Qualifications

  • Bachelor’s Degree preferred in a field such as business analytics, statistics, or research.
  • 1‑3 years of analytics and insights experience.
  • Experience supporting forecasting, predictive analytics, attribution, or marketing mix modeling initiatives is preferred.
  • Experience with customer segmentation and lifecycle analytics is preferred.

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