Specialist, Engineer, Data & Analytics

Monogram Foods

Memphis (TN)

On-site

USD 70,000 - 90,000

Full time

14 days+

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Job summary

Monogram Foods is looking for a Specialist Engineer in Data & Analytics at the Memphis Support Center. In this role, you'll transform data into actionable insights, build high-quality reports, and maintain dashboards using Power BI. The position involves collaborating with stakeholders to define metrics and ensuring data reliability.

A Bachelor's degree in a relevant field and 3–7 years of experience in analytics or business intelligence are needed, along with strong skills in problem-solving and communication.

Qualifications

  • 3–7 years of experience in data analytics, business intelligence, or reporting roles.
  • Strong experience with Microsoft Power BI, including DAX and Power Query (M).
  • Familiarity with Microsoft Dynamics 365 Finance & Operations data is a plus.

Responsibilities

  • Build and maintain Power BI dashboards, scorecards, and reports that deliver clear, actionable insights.
  • Partner with business stakeholders to understand needs and translate them into analytics solutions.
  • Investigate and resolve data or reporting issues using proven technical solutions.

Skills

Data analytics
Power BI
Problem-solving
Collaboration

Education

Bachelor’s degree in Computer Science, Data Analytics, Statistics, or a related field

Tools

Microsoft Power BI
Microsoft Fabric
Azure analytics services
Delta Lake

Job description

Job Details: Level: Entry, Job Location: Memphis Support Center – Memphis, TN 38104, Position Type: Full Time, Education Level: 4 Year Degree, Job Category: Information Technology

About the Role: As a Specialist Engineer, Data & Analytics, you’ll play a hands‑on role in turning data into insights that help Monogram teams run the business more effectively. This is a strong individual contributor role for someone who enjoys digging into data, building high‑quality reports and dashboards, and becoming a trusted expert in a specific business or functional area. You’ll work with a solid level of independence, using your experience and judgment to solve problems, while still operating within clear standards, tools, and best practices. Many people in this role become the go‑to analytics partner for a business function, helping teammates understand what the data is telling them and how to use it. This role does not have formal people management responsibility but often supports and informsally mentors less experienced team members.

Responsibilities
  • Build and maintain Power BI dashboards, scorecards, and reports that deliver clear, actionable insights.
  • Partner with business stakeholders to understand needs and translate them into analytics solutions.
  • Define and deliver meaningful KPIs and metrics within your assigned domain.
  • Ensure data accuracy, consistency, and trustworthiness following governance standards.
  • Investigate and resolve data or reporting issues using proven technical solutions.
  • Monitor report usage and recommend practical improvements.
  • Work with modern data platforms such as Microsoft Fabric and Delta Lake.
  • Share knowledge and provide informal guidance to
  • Lead small, well‑defined analytics efforts as needed.
Experience & Qualifications
  • Bachelor’s degree in Computer Science, Data Analytics, Statistics, or a related field preferred (or equivalent experience).
  • Excellent analytical, problem‑solving and decision making skills.
  • Strong leadership, communication and collaboration abilities.
  • Ability to manage multiple projects and tasks in a fast‑paced and dynamic environment.
  • 3–7 years of experience in data analytics, business intelligence, or reporting roles.
  • Strong experience with Microsoft Power BI, including DAX and Power Query (M).
  • Experience with cloud‑based data platforms such as Microsoft Fabric, Azure analytics services, or Delta Lake.
  • Experience in manufacturing, supply chain, operations, or B2B environments is a plus.
  • Familiarity with Microsoft Dynamics 365 Finance & Operations data is a plus.
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