Data Analyst (Local Candidates Only)

** 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 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.

Essential Skills & Experience

• 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.

NON-ESSENTIAL SKILLS & EXPERIENCE:

• Experience in cloud-based data platforms (Azure Synapse, Snowflake etc.)


• Background in statistical modeling, forecasting or machine learning.

PHYSICAL DEMANDS & WORK ENVIRONMENT:

• Work is normally performed in a typical office work environment.


• Limited physical effort required.


• Limited exposure to physical risk