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Data Analyst Reidsville NC

Job in Reidsville, Rockingham County, North Carolina, 27320, USA
Listing for: Farmina
Full Time position
Listed on 2026-10-08
Job specializations:
  • IT/Tech
    Data Analyst, Business Intelligence
  • Business
    Data Analyst, Business Intelligence
Salary/Wage Range or Industry Benchmark: 65000 - 90000 USD Yearly USD 65000.00 90000.00 YEAR
Job Description & How to Apply Below
Company Background

Farmina is nature and science in perfect harmony. Our mission is to develop the best all-natural, nutritious, and scientifically validated food that dogs and cats will love. Farmina is an innovative Pet Nutrition Company focusing on servicing dog and cat pet parents to make the best personalized nutritional decisions for their pet's well-being while providing life changing solutions along the way.

We at Farmina firmly believe in our company motto:
Happy pet. Happy you.

Position Purpose

The Data Analyst will support the organization through data analysis, reporting, and business insights that help drive strategic decision-making across Sales, Marketing, Operations, and Finance. This role will focus heavily on maintaining and analyzing internal and external data sources, developing reporting dashboards, identifying trends and opportunities, and supporting business initiatives through actionable insights.

This is an excellent opportunity for a motivated career professional looking to grow within a fast-paced and data-driven organization. The ideal candidate is analytical, detail-oriented, highly organized, and passionate about transforming data into meaningful business recommendations.

The position will work closely with internal stakeholders to support sales reporting, promotional analysis, pricing analysis, category insights, and ad hoc business projects while helping ensure data accuracy and reporting consistency across the organization..

Requirements
  • Must currently live within commutable distance to our Reidsville, NC facility. (No Relocation Available)
  • Bachelor's degree in Business Analytics, Data Analytics, Statistics, Mathematics, Finance, Business, Marketing, Computer Science, or a related field.
  • 2 to 4 years of experience in data analysis, business analytics, sales analytics, or a related role.
  • Advanced proficiency in Microsoft Excel, including Pivot Tables, Power Query, and data modeling techniques.
  • Experience using Power BI or other business intelligence and data visualization platforms.
  • Working knowledge of SQL and the ability to query, manipulate, and analyze data from multiple sources.
  • Strong analytical and problem‑solving skills with the ability to identify trends, opportunities, and actionable business insights.
  • Experience working with large datasets and ensuring data accuracy and integrity.
  • Strong communication and presentation skills with the ability to convey findings to both technical and non‑technical audiences.
  • Highly organized with the ability to manage multiple projects and priorities in a fast‑paced environment.
  • Self‑motivated with strong attention to detail and a continuous improvement mindset.
Preferred Qualifications
  • Experience using AI powered tools and technologies to improve reporting, automate workflows, generate insights, and increase operational efficiency.
  • Familiarity with generative AI platforms such as ChatGPT, Microsoft Copilot, or similar business productivity tools is a plus.
  • Experience with syndicated market data sources such as Circana, Nielsen, SPINS, or Numerator.
  • Experience with in Consumer Packaged Goods (CPG), Pet, Food, Retail, or Veterinary industries.
  • Experience supporting Sales, Marketing, Trade Marketing, Category Management, or Finance teams.
  • Experience with CRM, field execution, or sales reporting platforms such as Repsly.
  • Familiarity with statistical analysis, forecasting, or predictive modeling techniques.
Key Responsibilities Data Analysis & Reporting
  • Develop and maintain recurring reports, dashboards, and scorecards for Sales, Marketing, Finance, and Leadership teams.
  • Prepare monthly, quarterly, and annual business reporting packages and performance summaries.
  • Consolidate and analyze internal and external data sources to provide…
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