Entry Level Data Analyst - MFU

Eurpac Service IncorporatedVirginia Beach, VA
$60,000 - $65,000Onsite

About The Position

We are seeking a motivated and detail-oriented Entry-Level Data Analyst to join our team in Virginia Beach, Virginia. In this role, you will primarily focus on extracting, organizing, and running simple, recurring reports to support key departments: Sales, Operations, and Purchasing. You will turn raw data into clear, actionable insights that help our teams optimize performance, manage inventory, track sales trends, and make smarter purchasing decisions in the fast-paced sports nutrition distribution industry. This is an excellent opportunity for a recent graduate or early-career professional to build foundational data skills while contributing directly to business operations. You will receive training and mentorship to grow your analytical capabilities, including guidance on leveraging modern AI tools to enhance productivity.

Requirements

  • Bachelor's degree in Business, Statistics, Data Analytics, Supply Chain, Information Systems, or a related field.
  • 0–2 years of professional experience.
  • Proficiency in Microsoft Excel (pivot tables, VLOOKUP/XLOOKUP, charts, and basic formulas) is required.
  • Strong attention to detail and accuracy.
  • Excellent organizational and time-management skills.
  • Clear written and verbal communication — able to explain reports to non-technical stakeholders.
  • Ability to work independently as well as collaboratively in a team environment.
  • Eagerness to learn and adapt in a dynamic distribution business.

Nice To Haves

  • Prior internships, academic projects, or part-time roles involving data or reporting are a plus.
  • Familiarity with SQL, Google Sheets, or basic data visualization tools (e.g., Power BI, Tableau) is a strong plus.
  • Basic knowledge or willingness to learn AI tools and generative AI for data tasks (e.g., using AI to assist with data summarization, insight generation, or report automation) is highly desirable.
  • Experience with ERP systems, CRM tools, or inventory software is helpful but not required (training provided).

Responsibilities

  • Run and distribute routine reports for the Sales team, including daily/weekly sales performance, top-selling products, customer trends, and regional breakdowns.
  • Support Operations by generating reports on inventory levels, warehouse throughput, order fulfillment rates, shipping metrics, and operational efficiency.
  • Assist the Purchasing department with reports on supplier performance, inventory turnover, purchase history, stock levels, and demand forecasting to help maintain optimal product availability.
  • Extract data from internal systems (ERP, CRM, databases, or spreadsheets) and compile it into easy-to-understand Excel reports, basic dashboards, or formatted summaries.
  • Perform simple data cleaning, validation, and basic analysis (e.g., totals, averages, trends, comparisons) to ensure report accuracy.
  • Use AI-assisted tools (such as Microsoft Copilot in Excel/Power BI, generative AI for prompt-based insights, or similar) to accelerate report generation, identify patterns, and automate repetitive tasks.
  • Collaborate with department leads to understand their reporting needs and deliver timely, consistent outputs.
  • Identify and flag obvious data anomalies or opportunities (e.g., slow-moving items or sales spikes) for further review.
  • Maintain and update report templates for efficiency and consistency.
  • Assist with ad-hoc data requests as needed to support business decisions

Benefits

  • Medical, dental and life insurance coverage after 60 days of employment
  • 401(k) with an employer match after one year of service
  • Employee Stock Ownership Plan after one year of service
  • Paid holidays and generous paid time off
  • Floating Holidays
  • At Cost Employee Purchase Program
  • College Scholarship opportunities for employees’ dependents
  • Career opportunities with a growing company
  • Opportunities for professional growth and training in data analytics tools, including AI-enhanced analytics
  • Collaborative work environment with exposure to multiple business functions
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