Power BI Developer/Data Analyst at Atlantic American Corporation Bankers Fidelity in Brookhaven, Georgia, United States

Power BI Developer/Data Analyst at Atlantic American Corporation Bankers FidelityBrookhaven, Georgia, United States — full-time

As a Power BI Developer / Data Analyst, you will be responsible for developing and maintaining data visualizations, reports, and dashboards using Power BI. You will work closely with stakeholders to gather requirements, analyze data, and create actionable insights to support business decision-making. Additionally, you will collaborate with IT to ensure the availability and accuracy of data for reporting purposes. This role requires a combination of technical expertise in Power BI, data analysis skills, and strong communication abilities.

Key Responsibilities:

Develop and maintain interactive Power BI visualizations, reports, and dashboards

Collaborate with the IT team to ensure data quality, integrity, and availability for reporting

Design and implement data models, transformations, and calculations to meet reporting requirements

Contribute to the maintenance of data pipelines and sources using SQL and Snowflake

Perform detailed data analysis to identify issues, anomalies, and discrepancies in data

Work with cross-functional teams to define key performance indicators (KPIs) and metrics

Analyze complex datasets to uncover trends, patterns, and insights that drive business decisions

Stay current with Power BI features, best practices, and industry trends
Provide training and support to end-users in effectively utilizing Power BI reports and dashboards

Qualifications:

Bachelor’s degree in computer science, information systems, data science, business analytics, mathematics, or a related field

A higher-level degree in a relevant field is a plus but not required

Proven experience as a Power BI Developer, Data Analyst, or in a similar data-focused role

Strong proficiency in Power BI, including:

Power Query for data transformation

DAX (Data Analysis Expressions) for creating calculated columns and measures

Data modeling skills (including relationships, star schema, etc.)

Report and dashboard design to effectively communicate data insights
Proficiency in SQL for querying, data manipulation, and database integration
Experience with data visualization tools and techniques (e.g., Power BI, Qlik, Tableau, etc.)
Familiarity with data warehousing concepts and technologies, such as Snowflake or similar platforms
Knowledge of ETL (Extract, Transform, Load) processes and data integration technique