What are the responsibilities and job description for the Data Analyst (Local Candidates Only) position at Associated Grocers of New England?
** 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 related discipline.
- Strong critical thinking skills.
- Demonstrate ability to work in a dynamic team environment.
- Familiarity with data governance principles, including data accuracy, completeness and maintenance processes related to product imagery and dimensions.
- Firsthand experience using business data analytics platforms such as Salient, Nielsen, or similar.
- Strong knowledge of Microsoft Office Suite – proficient in excel.
- Proficiency in SQL database for querying databases
- Hands on experience with business intelligence tools like Power BI or similar tools.
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