Top Data & Analytics Jobs in Atlanta, GA

Lead architecture and build scalable, high-performance data pipelines and transformation layers (dbt/Snowflake). Define data modeling standards, mentor engineers, partner with stakeholders to deliver trusted data products, enforce governance, optimize costs, and improve tooling, testing, and documentation.

Design and lead scalable data platforms and architectures (cloud and on-prem), build data lakes/warehouses, enable DaaS via REST APIs, mentor engineers, translate business goals into technical solutions, and support governance and integration across stakeholders.

Lead enterprise vision, strategy, and operating model for data and analytics engineering. Build and scale multi-layer engineering organizations, govern and modernize cloud-based data platforms, champion data products and AI capabilities, manage budgets and vendors, and partner with executive stakeholders to drive analytics adoption and transformation.

Lead analytics, reporting, and data research across functions; design and implement reporting and dashboards; manage and mentor business analysts; define and measure sales KPIs; run voice-of-customer analysis and vendor relationships; and drive automation across sales, operations, customer service, and marketing.

Lead creation and scaling of a centralized Power BI function: define team structure, governance, semantic models, security, lifecycle management, and standards. Build certified datasets, implement complex row-level security, combine cross-division data responsibly, deliver high-quality reports, and partner with stakeholders to translate needs into governed data products and executive reporting.

Analyze market, pricing, and business performance for the home appliance industry using R, SQL, and Python. Build dashboards and visualizations in Tableau and Power BI, develop forecasts and pricing strategies, perform competitive and financial analyses, track KPIs, and collaborate with cross-functional teams to support strategic planning and product development.

Analyze adoption, engagement, and telemetry data to measure product performance and value. Build and maintain executive scorecards and dashboards, partner with Power BI developers and data engineers to ensure data accuracy, identify trends and risks, support leadership reviews, and document measurement methodologies while collaborating with UX researchers and product teams.

Partner with Supply Chain functions to design and deliver digital process improvements and analytics solutions (dashboards, automation, low-code apps, ML/AI). Own end-to-end delivery from intake, backlog prioritization, and data prep to deployment, adoption, and value realization while driving change management and reusable team practices.

Support requirements gathering, data analysis, and process improvement. Work with cross-functional teams in Agile ceremonies, produce reports, presentations, workflow diagrams, and user stories to support decision-making and continuous improvement.

Lead design, build, and maintain scalable data pipelines, ETL processes, data models, and storage solutions. Support production data ecosystem, optimize performance, ensure data quality and security, integrate data sources/APIs, and provide technical guidance to teams while collaborating with stakeholders.