Data Analyst

Job Title: Data Analyst 2

Date Posted: 8/26/2025

Location: Forest Park, GA 30297

Job Type: Contract Full-Time

Immediate W2 contract position available in Forest Part, GA.

Estimated Duration: 15 months

Job Summary:

· This role focuses on developing and maintaining data-driven tools and dashboards to support decision-making within Engineering. The position requires strong technical skills in data manipulation and visualization, along with a solid understanding of business performance metrics and utility operations.

· 3-5 Years

· Acquires data from primary or secondary data sources and maintains databases/data systems.

· Filters and cleans data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.

· Identifies, analyzes, and interprets trends or patterns in complex data sets.

· Interpret data, analyze results using statistical techniques, and provide ongoing reports.

Preferred Experience/Skills:

· A degree in an analytical field is preferred. Some examples include, but are not limited to, finance, economics, mathematics, statistics, computer science, engineering.

· 2+ years of experience in developing data manipulation scripts, Power BI dashboards, low-code applications, web applications, desktop applications, and / or internal adaptive web applications for generation and presentation of business performance metrics is highly desirable.

· Demonstrated experience with data visualization tools such as Tableau, Power BI, or Palantir Foundry.

· Experience with languages such as SQL, Python, and/or Spark is required.

· Knowledge of electric utility power transmission lines / substation engineering business and overall technical shared services knowledge or applicable relevant industry knowledge is a plus.

· Critical thinking and problem-solving skills with a natural curiosity and a desire to learn.

· Experience coordinating multiple requests and ensuring goals and objectives are met

· Demonstrate organizational and planning skills.

· Experience manipulating large datasets and databases with working knowledge of big data and data management technologies, data management is a plus.

· Proficiency with standard business and analytics software (e.g. Microsoft Word, Excel) is required.

· Experience with cloud computing platforms such as Azure is a plus.

· Understanding and working knowledge of data modeling, data integration and visualization techniques is required.

Major Job Responsibilities:

· Develop dashboards as requested to provide management with necessary information to make well informed decisions.

· Develop SQL or Spark scripts to pull in the appropriate data to the dashboards.

· Assess and implement process improvements and best practices.

· Provide formal and informal training to department end users around data visualization and analysis.

· Monitor and maintain dashboards to ensure data quality and integrity.

· Respond to data requests from engineering leadership.

· Other projects & ad hoc reporting as needed.

· Support critical, high-visibility projects that demand specialized data analytics or unique reporting requirements.

· Serve as a point of contact for Engineering Customers to support collaborative data reporting requirements as needed for financial, regulatory, inventory management or related needs.

Tasks (-> indicates after some time to settle in):

· Fulfill one-time ad-hoc data requests

· Create and maintain development (proof of concept) dashboards as needed using manual exports until infrastructure is fully operational

· Example: Maintain Accelerated Projects Excel file until Databricks is up and running

· Gain understanding of a couple of datasets to expedite projects. Focus on dashboards utilizing those datasets -> Gain understanding of all data sets and focus wherever needed

· Assist in creating production dashboards -> Create dashboards

· Assist in developing production SQL or Spark scripts to pull data into the dashboards -> Write scripts

· Assist in creating custom web application pages -> Create simple web application pages