Top Analytics Jobs in Atlanta, GA

Use SQL and Databricks to extract, clean, and analyze data; build statistical and machine learning models; create Power BI dashboards and forecasts; run A/B tests; present insights and collaborate with cross-functional teams to drive data-driven decisions.

Partner with business stakeholders to define and execute analytical projects: clean and prepare data, build statistical and ML models, create visualizations, deliver actionable insights, and support deployment while mentoring junior analysts.

Perform financial due diligence data analytics for middle-market M&A: obtain, validate, normalize, analyze transaction data (revenue, costs, inventory), produce dashboards and visualizations, identify trends/outliers, and communicate insights to deal teams and clients.

Lead U.S. enterprise analytics, BI reporting, AI-enabled analytics, and data governance. Design and maintain Power BI dashboards, KPI frameworks, semantic models, and self-service BI. Drive AI+BI integration (anomaly detection, forecasting, natural language analytics), support executive reporting and root-cause analysis, and collaborate with global HQ to ensure consistent KPI definitions and governance. Provide user training and improve data literacy.

Manage a team to produce repeatable reports and dashboards, ensure data integrity, support BI tool users, develop complex analytics, collaborate with Sales/Marketing/Customer Care, and design A/B and multivariate tests to drive measurable financial results.

Lead design and delivery of predictive and prescriptive analytics, build optimization and simulation models, translate technical outputs into business recommendations, mentor junior analysts, embed decision-support into dashboards and workflows, and promote technical standards and adoption across the analytics team.

Lead Sales & Marketing analytics strategy and team to deliver reporting, BI, forecasting, and decision science. Partner with commercial leaders to drive revenue growth, sales productivity, marketing effectiveness, and data governance across Salesforce, Marketo, Power BI, and Snowflake.

The Program Director of Data & Analytics at Prologis will lead teams in transforming data through AI, overseeing budgets, resource allocation, and ensuring effective use of analytics tools while driving adoption and continuous improvement across data initiatives.

Develop and maintain sales datasets, Power BI reports, and dashboards; extract, transform, validate, and automate sales data using SQL, Databricks, and Python; document metrics and logic; perform ad hoc and advanced analyses to support sales performance, forecasting, territory strategy, and executive reporting.

Write complex SQL queries and manipulate large datasets to produce end-to-end financial analysis of domestic and global roaming traffic. Gather requirements, identify data sources, rationalize results, produce written analysis, troubleshoot queries, and collaborate cross-functionally to make recommendations and support reporting needs.

Manage and analyze enterprise data to deliver strategic reporting tools. Develop and deliver reporting and analytic solutions that leverage BI and data warehousing to drive insights and action for internal and external stakeholders. Support department efforts to extract value from data and ensure successful delivery of enterprise reporting projects.

Design and develop data management and analytics solutions using Big Data technologies (Hadoop, Spark, Hive, etc.), databases (Oracle/SQL), and cloud platforms (AWS/Azure). Develop in Java, Python or Scala; DevOps and cloud experience preferred. Requires bachelors degree and U.S. work authorization; no visa sponsorship.

Design and develop data management and big-data analytics solutions using Hadoop ecosystem and cloud platforms. Build data pipelines and analytics with MapReduce, Spark, Hive, Pig and cloud services, coding in Java/Python/Scala. Work with Oracle/SQL, apply DevOps practices, analyze problems, and stay current on technology trends. Requires a bachelors degree and 4+ years IT experience. U.S. work authorization required; no visa sponsorship.

The Senior Analyst will analyze operational and member data to inform business strategies, create presentations, and collaborate with cross-functional teams to improve member experiences.

Design and govern operational experiments in live warehouse environments, defining hypotheses, metrics, and measurement frameworks. Execute and analyze workflow tests, inventory strategies, and simulation models to inform fulfillment configuration and automation adoption. Collaborate with warehouse associates and cross-functional teams to translate results into production pilots and scaled operational changes.

The role involves analyzing complex datasets for private equity transactions, providing insights for due diligence and performance, using various analytics tools and programming languages, and ensuring strategic decisions are informed.

Lead group-wide catastrophe risk analytics strategy, model aggregation, and portfolio optimization. Partner with underwriting, actuarial, finance and vendors to deploy RMS/AIR-based workflows, advanced analytics, and reporting; manage and mentor a global analytics team while assessing emerging perils and regulatory impacts.

Deliver predictive analytics solutions; manage customer projects; collaborate across teams; promote analytics use in various industries; lead teams and provide analysis.

Lead client-facing customer analytics engagements, translate customer and marketing data into actionable insights, design experimentation and measurement frameworks (A/B, holdouts, incrementality), oversee distributed delivery teams, mentor analysts, and support business development to scale analytics offerings that improve customer engagement, retention, and marketing effectiveness.

Perform complex analysis and modeling to detect and mitigate commercial payment fraud. Create and update business rules to reduce false positives, analyze alerts and trends, query large datasets, produce reports and dashboards, manage data governance and incident resolution, and collaborate with technology teams to implement process improvements and automation.

The Visual Analytics Architect will develop and design dashboards using Qlikview, Tableau, Spotfire, and D3, while mentoring team members and analyzing application requirements.

The Visual Analytics Architect will design and develop reports and dashboards using various tools, mentor team members, and analyze application requirements. The role requires extensive experience in BI reporting projects and data warehouse development.

The Visual Analytics Architect will design and develop reports and dashboards using Qlikview, Tableau, Spotfire, and D3, while supporting the team and analyzing application requirements.

The Visual Analytics Architect will design and develop Qlikview, Tableau, Spotfire, and D3 dashboards, mentor team members, and analyze application requirements.

Lead and manage an analytics team to design and deliver self-service BI, dashboards, reports, and data warehousing solutions. Define analytics roadmaps and metrics, ensure data integrity, collaborate with cross-functional teams, support end users, and manage project communications to drive measurable business results.