Data Analyst (Local Candidates Only)

United States·Pembrokemid

Data AnalystData

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Quick Summary

Overview

** This is an on-site position. The candidate must be local to the Pembroke, NH area or able to reasonably commute here. ** Position Responsibilities/Accountabilities: Excel in understanding complex systems, applying critical thinking in technical environment, and adapting to dynamic team…

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Responsibilities

~1 min read

→Excel in understanding complex systems, applying critical thinking in technical environment, and adapting to dynamic team setting with a purposeful, creative, and analytical approach.
→Support sustainment and enhancement of existing data models.
→Develop data models and machine learning models.
→Execute and analyze established metrics and develop new metrics for both leadership visibility and programmatic performance.
→Contribute to data governance by maintaining accurate product dimensions, metadata and imagery in the planogram systems and database.
→Collaborate with business units to understand data requirements and translate into technical specifications for visual purposes by developing dashboards and reports using BI tools.
→Responsible for AD Hoc analysis and reporting for senior leadership and stakeholders.
→Perform in-depth data analysis to identify trends and patterns for opportunities in process improvement.
→Performs other duties as assigned.

Requirements

~1 min read

Bachelor’s degree in Data Analysis, Computer Science, Statistics, or a related discipline (or equivalent combination of education and practical experience).
3–5 years of relevant experience in data analysis, reporting, or business intelligence preferred.
A background in retail, supermarket operations, logistics, or warehouse settings—or a combination—is highly preferred.
Strong critical thinking, problem-solving, and analytical skills.
Ability to thrive in a dynamic, team-oriented environment.
Knowledge of data governance principles, including accuracy, completeness, and maintenance of product-related data (imagery, dimensions, etc.).
Experience using business data analytics platforms such as Salient, Nielsen, or similar.
Proficiency with Microsoft Office Suite, particularly Excel.
Strong SQL skills for querying and managing databases.
Hands-on experience with business intelligence tools such as Power BI or similar platforms.