Data Analytics Analyst 3
Job
Johnson Service Group Inc.
Atlanta, GA (In Person)
Full-Time
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Job Description
Data Analytics Analyst 3 Johnson Service Group Inc.
- 3.
DESIRED QUALIFICATIONS 5-10
years of experience Data Analytics Analyst Strong experience with data modeling (dimensional/star schema, relational modeling, enterprise data structures).- Proficiency with SQL and relational databases (Azure
SQL, SQL
Server, PostgreSQL, etc.). Hands-on experience with Power BI including DAX, Power Query (M), and dataset modeling. Working knowledge of Databricks, Delta Lake, and notebook environments for data preparation and analysis. Experience with ETL/ELT concepts, data validation, and performance optimization. Strong Excel skills (Power Query, Power Pivot, advanced functions). Ability to translate business questions into analytical requirements and datasets. Experience coordinating and managing small to mid-sized projects or workstreams.PREFERRED QUALIFICATIONS
Exposure to low-code platforms such as Power Apps and Power Automate. Familiarity with cloud analytics tools (Azure Data Factory, Azure Synapse, Fabric, etc.). Experience with scripting languages (Python, R) for data transformation or automation. Knowledge of data governance, metadata management, and data stewardship practices. Exposure to visualization best practices and UI/UX design for dashboards. Knowledge of Databricks SQL or Spark SQL for analytical queries. Application Developer Hands-on experience with Apache Spark (PySpark, Scala, or Spark SQL). Proficiency with Databricks, Delta Lake, and notebook[1]based development. Experience developing applications within OutSystems, including Reactive and/or Traditional Web development. Strong experience with Power Apps, Power Automate, and integrating Power Platform components. Proficiency in developing BI solutions with Power BI, including DAX, Power Query (M), and semantic modeling. Strong SQL skills with experience in relational database systems (e.g., AzureSQL, SQL
Server, PostgreSQL). Experience with data modeling concepts (conceptual, logical, physical, star schema, lakehouse). Working knowledge of backend/API development using languages such as Python or C#. Experience working in cloud environments (Azure strongly preferred). Understanding of CI/CD processes and version control (Git, Azure DevOps, GitHub). Experience with JavaScript frameworks (React, Angular, or Vue.js). Familiarity with event-driven architectures (Kafka, Event Hub).- Basic knowledge of containerization (Docker) and microservices patterns.
POSITION SUMMARY
The Data Analyst is responsible for supporting business decision-making through analysis, data modeling, reporting, and the management of enterprise data assets. This role partners closely with business and technology teams to deliver high-quality data solutions, dashboards, and insights. The ideal candidate combines strong analytical and technical skills with project coordination capabilities and experience using Microsoft, cloud, and BI platforms. Familiarity with low-code tools is preferred to support process improvement and automation initiativesKEY RESPONSIBILITIES
Collect, analyze, and interpret complex data to support business decisions and operational insights. Develop and maintain data models (conceptual, logical, physical) to support analytics and reporting use cases. Build, optimize, and manage databases, data tables, and structured datasets. Develop BI dashboards and reports using Power BI, ensuring accuracy, usability, and performance. Support data pipeline development in Databricks, including data cleansing, transformation, and validation. Execute project coordination tasks, including requirement gathering, documentation, prioritization, and stakeholder communication. Contribute to data quality, governance, security, and metadata documentation efforts. Produce recurring and ad hoc analysis, KPIs, and performance metrics for leadership and business partners. Collaborate with IT, business, and analytics teams to ensure data needs are well-understood and met. Utilize low-code tools (Power Apps, Power Automate) to support workflow automation and minor application enhancements. Identify opportunities to streamline data processes, improve reporting, and enhance data accessibilityCORE COMPETENCIES
Analytical Thinking- Synthesizes large volumes of data into meaningful insights. Attention to Detail
- Ensures data accuracy, consistency, and integrity. Communication
- Clearly communicates findings to business and technical audiences. Project Management
- Manages timelines, priorities, and stakeholder expectations. Collaboration
- Works effectively across business units and technical teams. Adaptability
- Learns new tools and approaches in a dynamic environment.
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