Data Analytics Analyst 3 - DAA3

Data Analyst - (Data Modeling, BI Development & Project Management) 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 initiatives., * 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 accessibility., A Compensation Analyst in the utilities industry is responsible for designing, implementing, and managing compensation strategies that align with the organization's mission, regula…

• 1 day ago

• 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., * 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.

CORE 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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