AI Data Analyst

ElmingtonNashville, TN
Onsite

About The Position

This role partners with the Director of Data Analytics to develop and implement AI-based tools and solutions across the company. All activities will be performed in support of the values of Elmington Construction: Integrity, Precision, Growth, Driven, Relationships.

Requirements

  • Proficient in data management using tools such as Power BI, SQL, Excel, and Python and Microsoft Suite.
  • Possesses strong communication abilities and manages relationships effectively.
  • Demonstrates a strong work ethic and excels at working collaboratively.
  • Excels in time management and consistently meets deadlines independently.
  • Exceptionally detail-oriented.
  • A degree in Data Analytics, Business Intelligence Analytics, or Adequate Certifications.
  • Minimum of 3 Years of related experience in AI analytics, data modeling, Microsoft solutions.

Nice To Haves

  • Potential Local Site Visits

Responsibilities

  • Partner with the Director of Data Analytics to develop and implement AI-based tools and solutions across the company.
  • Identify opportunities to leverage Artificial Intelligence to improve efficiency, decision-making, and business outcomes.
  • Utilize Microsoft Copilot and AI-enabled tools to accelerate reporting, analysis, and solution development.
  • Develop AI-assisted workflows for data preparation, document processing, predictive analysis, and process automation.
  • Ensure all AI-generated outputs are reviewed, validated, documented, and explainable.
  • Research emerging AI technologies and recommend practical business applications.
  • Create new tools or reports on an ad-hoc basis with minimal supervision.
  • Partner to build AI functionality into existing data infrastructure, and developing new AI based tools to drive business processes.
  • Interpret data and determine correct application for AI functionality.
  • Validate and interpret results to trouble shoot AI Tools.
  • Build in guardrails and understand user interface functionality needs.
  • Partner with team to design and implement real time intelligence reporting in fabric capacity.
  • Understand the companies ontology and needs of stakeholders for custom agent build out.

Benefits

  • Opportunity for advancement and career succession.
  • Recognition and rewards for contributions.
  • Autonomy for individuals who thrive on innovation.
  • Equal employment opportunity regardless of race, color, creed, national origin, protected age category, gender, sexual orientation, religion, marital status, military status, or physical or mental disability.
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