Data Analyst at Elmington

Nashville, Tennessee, United States -

Full Time

Start Date

Immediate

Expiry Date

21 Jul, 26

Salary

0.0

Posted On

22 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analytics, Artificial Intelligence, Power BI, SQL, Excel, Python, Data Management, Data Warehousing, Data Lakes, Power Apps, Power Automate, Data Modeling, Communication, Time Management, Detail-oriented, Business Intelligence

Industry

Real Estate

Description

POSITION SUMMARY Elmington Construction, a thriving builder, embarked on its journey in 2017 with a commitment to excellence and a growth mindset. Over the past three years, we've experienced impressive year-over-year growth ranging from 30% to 40%, a testament to our entrepreneurial spirit and dedication to delivering quality projects. This position will partner with the Director of Data Anlytics, to strategize, plan, and implement All activities will be performed in support of the values of Elmington Construction. Integrity ~ Precision ~ Growth ~ Driven ~ Relationships KNOWLEDGE/SKILLS/ABILITIES: ➢ Experienced in designing artificial intelligence solutions to solve business problems. ➢ Proficient in data management using tools such as Power BI, SQL, Excel, and Python. ➢ Skilled in implementing and developing Data Lakes or Data Warehouses. ➢ Experienced with other Microsoft Suite tools, including Power Apps and Power Automate. ➢ Possesses strong communication abilities and manages relationships effectively. ➢ Demonstrates a strong work ethic and excels at working collaboratively. ➢ Capable of creating new tools or reports on an ad-hoc basis with minimal supervision. ➢ Excels in time management and consistently meets deadlines independently. ➢ Exceptionally detail-oriented. SPECIFIC EDUCATION OR EXPERIENCE: ➢ A degree in Data Analytics, Business Intelligence Analytics, or Adequate Certifications. ➢ Minimum of 3-5 Years of related experience in analytics, data modeling, Microsoft solutions. ➢ Commercial/Multi-Family Construction experience a plus but multiple industry exposure preferred. ESSENTIAL JOB FUNCTIONS: · Partnering to build AI functionality into existing data infrastructure, and developing new AI based tools to drive business processes. · Managing data by organizing, cleaning, and storing information in designated storage locations. · Overseeing queries and identifying opportunities for process improvement. · Providing reports, data sets, and tools from existing sources upon request. · Building and maintaining project-level and operational reporting solutions utilizing a diverse range of systems and data warehouses. The above description covers the principal duties and responsibilities of the job. The description shall not, however, be construed as a complete listing of all miscellaneous, incidental, or similar duties which may be required from day-to-day. PHYSICAL DEMANDS AND WORK ENVIRONMENT: ➢ Must be able to work inside the office full-time. TRAVEL REQUIREMENTS: Potential Local Site Visits The Elmington Experience At Elmington Construction, we foster an entrepreneurial mindset, compensating for the value our team members bring to the table. We provide an environment that encourages room for advancement and career succession, recognizing and rewarding contributions to our collective success. With a team collaboration ethos, constant improvement is not just encouraged but embedded in our culture, offering autonomy to individuals who thrive on innovation. The company will recruit, hire, train, promote, and compensate its employees based upon factors such as work quality, behavior, training, and experience. In compliance with local, state, and federal laws, we provide 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 of any individual who is otherwise qualified.

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Responsibilities

The Data Analyst will partner with the Director of Data Analytics to build AI functionality into existing infrastructure and develop new AI-based tools. They are responsible for managing data, overseeing queries, and creating operational reporting solutions to drive business processes.