Data & Analytics Manager

Goddard Systems - Atlanta, GA

Full-time - Mid Level

Atlanta, GA

About the position

The Data & Analytics Manager will oversee data governance, manipulation, integration, and acquisition, focusing on building metrics and generating reports. This role requires hands-on analysis of raw data, maintaining datasets, and improving data quality to deliver actionable insights and solutions. The manager will be responsible for the end-to-end delivery of data products and systems, ensuring effective data analytics support for business processes.

Responsibilities

• Lead a data delivery team onshore/offshore to deliver Business Intelligence metrics, reports, data conversions, and mapping.
• Collect, clarify, and translate data requirements into documentation and conceptual design.
• Elicit requirements using various methods including interviews, workshops, and business analysis.
• Own the development, delivery, and documentation of data management and BI solutions.
• Create a roadmap and milestones for maturing the analytics and management space.
• Work on data dictionary, data mapping, data lineage, and data transformations, ensuring data integrity and quality.
• Design and implement data solutions by inspecting, cleansing, transforming, and modeling data.
• Evaluate organizational methods and provide source-to-target mappings for data sets.
• Support data storage and integration solutions including databases and BI solutions.
• Create and maintain blueprints illustrating how information is stored, processed, and accessed.
• Build dashboards, KPIs, and data visualizations to identify trends and patterns.
• Modify existing reports, extracts, dashboards, and cubes as necessary.
• Design and maintain data models for reporting and analytics from various data sources.
• Identify new features and business opportunities through data analysis.
• Enable self-service BI capabilities for users.
• Monitor and tune BI tools and data integrations for optimal performance.
• Create best-practice reports based on data mining and visualization.
• Develop and maintain an inventory of enterprise data.
• Ensure adherence to an enterprise data governance framework.
• Lead ad-hoc business deep dive analysis and present findings to senior leadership.
• Propose data schema and flow optimizations for reporting performance.
• Recommend systems and process improvements based on current knowledge of business and technology.
• Partner with architecture and solution delivery teams to enable BI/data applications.
• Identify and implement automation across development and delivery processes.

Requirements

• Bachelor's or Graduate's Degree in computer science, engineering, mathematics, or information systems.
• Strong understanding of data engineering principles and processes.
• 8+ years of experience with SQL, SQL Server, ETL, SSRS, SSIS, PowerBI, SSAS software, systems, and programs.
• 8+ years of experience with Agile, Python, Datawarehouse (Azure Data warehousing), Azure Cloud, TSQL, and R language software and systems.
• 6+ years of experience with Data ingestion, Data processing, and Data publishing methodologies.
• Fluent in statistics, datasets, and scripting.
• Understanding of data modeling and data schemas (normalized, flat, star, snowflake, etc.).
• Experience in extracting data from structured (RDBMS) and unstructured sources (flat files).
• Understanding of database operations and optimization for RDBMS like SQL Server.
• Proven experience in leading engineering teams.
• Excellent problem-solving, analytical, and communication skills.