Assistant Data Analyst

Elmington•Nashville, TN

2d•Hybrid

About The Position

This position will assist the Director of Data Analytics in maintaining the existing reporting structure, SharePoint sites, implementing a data lake, and will be heavily focused on the development of new AI tools and software integrations. All activities will be performed in support of the values of Elmington Construction: Integrity, Precision, Growth, Driven, and Relationships.

Requirements

Experience with AI tools and Microsoft integrations.
Assisting in Managing data (organizing, cleaning, and storing in data storage locations).
Assisting in Conducting basic analyses using tools like MS Power BI, MS Excel.
Exposure to SharePoint, Power Apps, and Power Automate.
Good communication skills and effective relationship management.
Strong understanding of trend analysis and data modeling in multiple MS tools.
Exposure to many industries.
Using statistical tools and methodologies to identify trends, patterns, and correlations.
Desire to Develop analysis and reporting capabilities.
Excellent time management skills, and capable of keeping required deadlines with a high level of autonomy.
Highly detail oriented.
A degree in Data Analytics, Business Intelligence Analytics, or Adequate Certifications.
Minimum of 1-3 Years of related experience in analytics, data modeling, Microsoft solutions.

Nice To Haves

Commercial/Multi-Family Construction experience a plus but multiple industry exposure preferred.

Responsibilities

Assisting in Managing and Maintaining SharePoint Libraries, and Lists.
Partnering to develop AI tools across the company.
Assisting in Managing data (organizing, cleaning, and storing in data storage locations).
Assisting in Managing queries and identifying errors or areas for improvement.
Providing reports, data sets, or outputs from existing sources per request.
Researching business or industry data to define trends and develop resource criteria.
Assisting in building and maintaining Project Level and operational reporting from a wide range of systems and data warehouses.