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Marketing and Co-Op Specialist - Non-Remote

Job in Idaho Falls, Bonneville County, Idaho, 83401, USA
Listing for: Country Supplier
Full Time position
Listed on 2026-03-01
Job specializations:
  • Marketing / Advertising / PR
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Primary Purpose

This role is on-site at the Country Supplier Support Center located in Idaho Falls,  Marketing and Co-op Data Analyst will analyze data to support marketing strategies and co‑op initiatives, providing actionable insights that drive informed business decisions. This role requires a strong analytical mind, proficiency in data visualization, and experience working with marketing and sales data. The ideal candidate will work closely with the marketing, sales, and co‑op teams to gather data, assess program effectiveness, and identify opportunities for growth.

The Marketing and Co‑op Data Analyst is responsible for interpreting data trends, creating reports, and contributing to data‑driven marketing and co‑op strategies.

Essential Duties And Responsibilities
  • Gather and analyze data from various sources, including CRM systems, marketing platforms, sales records, and co‑op program data.
  • Identify key performance indicators (KPIs) and metrics for marketing campaigns and co‑op programs to measure success and optimize performance.
  • Perform statistical analyses to understand trends, customer behavior, and the effectiveness of marketing and co‑op initiatives.
Data Collection and Analysis
  • Gather and analyze data from various sources, including CRM systems, marketing platforms, sales records, and co‑op program data.
  • Identify key performance indicators (KPIs) and metrics for marketing campaigns and co‑op programs to measure success and optimize performance.
  • Perform statistical analyses to understand trends, customer behavior, and the effectiveness of marketing and co‑op initiatives.
Reporting And Visualization
  • Create regular and ad‑hoc reports that summarize findings, present insights, and recommend steps for marketing and co‑op initiatives.
  • Develop data visualizations, dashboards, and presentations to communicate insights to stakeholders in a clear, actionable format.
  • Track campaign and co‑op program performance over time, highlighting key trends and making recommendations for improvements.
Marketing And Co‑op Strategy Support
  • Collaborate with marketing and co‑op teams to support campaign planning and execution by providing insights on target audiences, channel performance, and historical data.
  • Identify data‑driven opportunities for improving customer engagement, optimizing ad spend, and maximizing ROI.
  • Work with the co‑op team to evaluate program effectiveness, ensuring alignment with company objectives and recommending adjustments as needed.
Data Management And Quality Assurance
  • Ensure data accuracy and integrity by regularly auditing datasets, identifying discrepancies, and troubleshooting issues.
  • Collaborate with IT and other departments to improve data collection processes and data storage solutions.
  • Maintain data documentation, procedures, and best practices to support a streamlined data analysis process.
Other Duties And Responsibilities
  • Comprehensive knowledge of the products Country Supplier sells.
  • Perform daily cleaning – such as, but not limited to, vacuuming, replacing full trashes with new trash bags, and sweeping.
  • Other duties assigned as needed.
Qualifications
  • Bachelor’s degree in Data Science, Marketing, Business Analytics, or a related field preferred.
  • 2+ years of experience in data analysis, preferably within a marketing, sales, or retail environment preferred.
  • Strong proficiency in data analysis tools (e.g., Excel, SQL) and experience with data visualization software (e.g., Tableau, Power BI).
  • Knowledge of CRM and marketing automation platforms (e.g., Salesforce, Hub Spot) and digital marketing channels.
  • Solid understanding of marketing metrics, including conversion rates, customer acquisition cost (CAC), and return on investment (ROI).
  • Strong attention to detail, with excellent analytical, organizational, and problem‑solving skills.
  • Ability to interpret complex data and communicate insights clearly to technical and non‑technical stakeholders.
  • Familiarity with statistical analysis tools (e.g., R, Python) is a plus.
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