Marketplace Data Analyst: Revenue Insights & Dashboards

Tier4 Group

Atlanta (GA)

On-site

USD 70,000 - 100,000

Full time

7 days ago
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Job summary

Tier4 Group in Atlanta, GA is seeking a Marketplace Data Analyst to drive business performance through analytics, reporting, and strategic insights. You will partner with Operations, Partnerships, Business Development, and Product teams to identify growth opportunities, optimize revenue, and support data-driven decisions.

The ideal candidate enjoys working with large datasets, building dashboards, and translating analysis into actionable recommendations.

Qualifications

  • Bachelor’s degree required.
  • 3–5 years of analytics or BI experience.
  • Advanced Excel skills required.
  • Strong SQL experience with relational databases.
  • Experience with BI tools (Tableau, Power BI, Looker, Sigma).
  • Ability to analyze large datasets and provide actionable recommendations.
  • Strong verbal and written communication skills.

Responsibilities

  • Analyze sales performance, pricing trends, customer behavior, and inventory allocation to identify opportunities for growth and optimization.
  • Evaluate performance across channels, products, and operations.
  • Support revenue strategy with data-driven analysis and recommendations.
  • Develop and maintain recurring reporting, KPI dashboards, and scorecards.
  • Deliver both scheduled and ad hoc analyses for leadership and stakeholders.
  • Present findings to technical and non-technical audiences.

Skills

SQL
Excel (Advanced)
Analytics
Communication

Education

Bachelor’s degree in Business, Finance, Economics, Statistics, Data Science, or related

Tools

Tableau
Power BI
Looker
Sigma

Job description

Tier4 Group in Atlanta, GA is seeking a Marketplace Data Analyst to drive business performance through analytics, reporting, and strategic insights. You will partner with Operations, Partnerships, Business Development, and Product teams to identify growth opportunities, optimize revenue, and support data-driven decisions.

The ideal candidate enjoys working with large datasets, building dashboards, and translating analysis into actionable recommendations.

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