Top Senior Analysis Reporting Jobs in Atlanta, GA

Leads marketplace intelligence for the South Region by combining consumer, competitive, marketplace, and execution data into actionable business insights. Partners with franchise teams, bottlers, and Finance to identify performance drivers, execution gaps, and priorities. Develops scorecards and information tools, coaches teams on data interpretation, supports business planning and performance routines, and monitors market conditions and competitive activity.

Analyzes sales, client, ownership, and market data to identify growth opportunities and improve sales effectiveness. Builds dashboards, data products, segmentation models, targeting insights, and automated analytics. Manages analytical workstreams, translates business questions into scalable solutions, and communicates recommendations to Distribution, Marketing, Product, Data Science, and Technology stakeholders.

Analyze integrated media channel performance across OTT, programmatic, and related channels. Manage data, experimentation, automated reporting, and visualization to guide marketing investments. Partner with stakeholders, communicate insights and project plans, prioritize competing requests, and coach analysts. Use SQL and analytical programming tools to solve complex problems, leverage generative AI, and support acquisition and retention marketing teams.

Designs and leads enterprise-scale data platforms, pipelines, lakehouse, warehouse, and streaming solutions. Establishes data modeling, governance, security, architecture, performance, scalability, reliability, and cost standards. Collaborates with data engineering, analytics, machine learning, and business teams while mentoring engineers and advancing data platform best practices.

Leads global master data governance across Customer, Vendor, Material, and Finance data within SAP S/4HANA. Establishes standards, ownership, workflows, controls, KPIs, and data quality processes; supports ERP implementation, migration, cleansing, testing, reconciliation, and cutover activities. Partners with Finance, Procurement, Sales, Customer Service, IT, and external implementation teams to improve data integrity, standardization, compliance, and operational efficiency across a global, multi-entity organization.

Leads enterprise data and analytics strategy, including dashboards, KPIs, data governance, performance measurement, and executive reporting. Integrates information from multiple systems to generate insights, support strategic decisions, evaluate initiatives, and improve member experience and organizational efficiency. Partners with executive leaders, IT, HR, and departments on data infrastructure, process improvement, organizational effectiveness, and responsible data stewardship. Translates complex analysis into actionable recommendations for technical and non-technical audiences.

Analyzes business data and requirements to support insurance decision-making, KPIs, dashboards, reports, alerts, and data warehouse strategy. Partners with business and technical teams, leads requirements gathering, develops user stories within Agile Scrum teams, presents findings, conducts data profiling, and trains clients on analytical tools. The role requires strong SQL, business analysis, critical thinking, and collaboration skills, with commercial property and casualty insurance knowledge preferred.

The Compliance Data & Analytics Manager develops AI and automation prototypes, integrates disparate data sources, builds Python and SQL analytics workflows, and creates web applications and automated alerts for compliance risk intelligence. The role partners with Legal, Finance, Regulatory Affairs, data science, and business intelligence teams to improve risk models and translate regulatory requirements into actionable analytical solutions.

Build and maintain production data ingestion, transformation, orchestration, and modeling pipelines using Dagster or Airflow, dbt, Snowflake, Python, Airbyte, and AWS. Monitor and debug production workflows, manage backfills and incremental loads, configure infrastructure, review code, and document runbooks. Partner with analytics and product teams on dimensional modeling, data quality, and pipeline reliability.

Analyze large and complex datasets for consumer and mortgage credit-loss forecasting. Acquire and integrate data, identify trends, apply statistical techniques, interpret forecast outcomes, assess financial impacts, and provide actionable recommendations. The role also supports model risk governance, monitors recommendation results, ensures data compliance, and communicates insights to business partners.