Top Senior Analysis Reporting Jobs in Atlanta, GA

Performs independent quality assurance and validation across enterprise data platforms, warehouses, integrations, reporting solutions, and business processes. Responsibilities include data quality analysis, test strategy and automation, regression and release validation, incident investigation, root cause analysis, requirements traceability, governance, regulatory validation, and monitoring data quality metrics. The role partners with engineering, business, compliance, and operational teams while improving enterprise data integrity, reliability, and governance.

Leads enterprise Master Data Management operations across Customer, Vendor, Material, and Reference Data domains. Manages an MDM team, platform reliability, data models, match-merge and survivorship rules, golden records, hierarchies, stewardship workflows, governance integration, and cross-region harmonization. Partners with Data Engineering, Data Governance, and business stakeholders to deliver reliable, governed data for analytics, reporting, and AI. Oversees team development, performance, capacity planning, architecture reviews, and audit support.

Leads the modernization of GreenSky’s Snowflake enterprise data platform, including data warehouse optimization, ETL/ELT modernization, governance, quality, observability, and self-service analytics. Defines multi-year data strategy and roadmaps, establishes engineering and deployment standards, enables AI/ML capabilities, and develops a team of data and test engineers while aligning platform investments with business outcomes.

Designs and maintains scalable financial data pipelines, ETL/ELT workflows, data models, quality frameworks, and enterprise application integrations. Develops dashboards and reporting with BI tools, supports financial planning and forecasting, and delivers data-driven solutions in partnership with Finance, Accounting, and FP&A. Leads small to medium projects, contributes to larger programs, mentors junior engineers, participates in Agile planning, evaluates emerging AI and data technologies, and improves processes, accuracy, and automation.

Leads advanced analytics for Sales Compensation, including quota processes, predictive modeling, reporting, data integration, ETL, and business intelligence. Analyzes data across applications, resolves discrepancies, defines data mappings, develops scalable automation and reporting solutions, collaborates with business stakeholders and DBAs, and delivers recommendations affecting multiple business organizations.

Leads the architecture, development, and operation of scalable enterprise data platforms, pipelines, ETL/ELT workflows, and transactional lakehouses. Uses AWS Glue, Apache Spark, Apache Hudi, and Amazon Athena to deliver production-grade data solutions. Provides data architecture leadership, code reviews, technical standards, query optimization, CI/CD integration, troubleshooting, and mentoring while collaborating with clients, product managers, and cross-functional teams.

Analyze customer feedback, operational and transaction data to identify experience issues, root causes, and improvement opportunities. Develop KPIs, dashboards, analytical frameworks, and reusable reporting assets. Use SQL, visualization platforms, and AI-enabled workflows to synthesize structured and unstructured feedback, improve analytical efficiency, and produce actionable recommendations. Partner with cross-functional stakeholders to connect insights to measurable outcomes while documenting assumptions, data limitations, metric definitions, and quality checks.

Leads the Underwriting Data Engineering team and oversees the design, development, and productionization of scalable data and machine learning pipelines. Responsibilities include feature engineering, data preparation, model deployment, data validation, governance, monitoring, API integration, analytic data products, roadmap development, stakeholder collaboration, and team coaching.

Designs and executes large-scale data migrations and conversions into Fiserv products. Builds custom database solutions and reusable ETL tooling, ensures data integrity, supports integrations, and leads go-live troubleshooting and incident response. Collaborates with clients and product teams on requirements and technical designs, evaluates database technology components, and may assist with hiring and staffing allocation management.

Develops market intelligence and analytical solutions using data mining, modeling, forecasting, scenario planning, and visualization. Partners with marketing, sales, supply chain, strategy, finance, and commercial stakeholders to manage data logistics, build data tools, validate outputs, identify market opportunities, and communicate actionable recommendations. Manages multiple projects, presents insights to executive audiences, and supports strategic decision-making.