Top Analysis Reporting Jobs in Atlanta, GA

Leads the Business Intelligence function for Client Operations and contact centers, overseeing analytics, reporting, data governance, KPI development, dashboards, forecasting, and data-driven process improvements. Develops the BI strategy and roadmap, manages analysts, data scientists, and people leaders, partners with senior stakeholders, improves data systems and automation, and translates complex analysis into strategic business recommendations. The role requires executive communication, cross-functional leadership, and the ability to build scalable BI capabilities.

Processes structured and unstructured data, builds scalable data solutions, validates data quality, supports enterprise data warehouses and analytics tools, and maintains deployed data products. Collaborates with analytics teams during Agile planning, improves processes and interfaces, supports data feeds and mappings, and monitors emerging data technologies. Requires experience with Snowflake, relational databases, ETL, data quality tools, business intelligence platforms, Git, and scalable software systems.

Collects, processes, and analyzes moderately complex datasets to generate insights and support business decisions. Builds automated reports, dashboards, and visualizations using SQL, Power BI, and related tools. Performs statistical analysis, data validation, and quality assurance while improving reporting processes. Collaborates with cross-functional, digital technology, and data engineering teams to ensure data integrity and deliver analytics solutions.

Build and test ETL/ELT data pipelines using SQL and Python, ingesting and transforming data from multiple sources into cloud platforms. Implement data-quality checks, monitoring, and documentation; participate in agile ceremonies and code reviews; collaborate with engineers; and present project results to leadership. This is an 11-week paid internship involving real-world data engineering projects and mentorship.

Design and develop data pipelines, integrations, transformations, and infrastructure across AWS, Snowflake, Airflow, and MySQL. Troubleshoot warehouse issues, validate data quality, improve pipeline reliability, and translate business needs into data engineering solutions. Interpret technical findings for client recommendations, manage workstreams, review junior team members’ work, and provide technical guidance across managed services engagements.

Own supervisory data management and governance as a subject matter expert. Define data quality rules, metrics, monitoring, issue remediation, taxonomies, metadata, and cataloging practices. Partner with business, IT, and platform teams to improve data reliability, accessibility, lifecycle management, and future AI readiness. Translate business needs into technical requirements, facilitate adoption of governance practices, and communicate recommendations to technical and executive audiences.

Conduct forward-looking index projections, research corporate actions and rebalances, analyze benchmarks, and apply quantitative and data science techniques to financial data. Build index research analytics capabilities, develop risk controls, collaborate with portfolio management and quantitative research teams, and provide data-driven insights supporting investment decisions, index strategies, products, and clients.

Build and operate production data pipelines, models, and data products supporting finance, accounting, treasury, compliance, and regulatory reporting. Partner cross-functionally to define requirements, model on-chain and internal data, and ensure data reliability through reconciliation, quality checks, monitoring, and alerting. Use SQL, Python, cloud data warehouse, Airflow, dbt, and AI tooling. Mentor engineers, review technical work, document systems, and communicate data concepts to technical and non-technical audiences.

Migrates customer data from legacy and competitor systems into SaaS products using SQL-based tools. Performs extraction, transformation, cleanup, validation, auditing, data mapping, and quality assurance. Develops repeatable scripts and workflows, collaborates with customers and cross-functional teams, supports testing and defect resolution, and documents migration processes. The role increasingly uses BigQuery, cloud platforms, automation, and intelligent tools while supporting global delivery across regions and time zones.

Lead the strategy and governance for GTM analytics across pre-sales, post-sales, solutions engineering, forward-deployed engineering, and professional services. Establish trusted source-of-truth metrics, data models, semantic layers, self-service analytics, and AI-assisted querying. Partner with Data, Finance, Sales, and Services leaders to resolve metric definitions, improve data access, consolidate reporting, and guide cross-functional programs without direct authority.

Supports the development and maintenance of SQL and Python data pipelines, data models, semantic layers, dashboards, and reports. Performs data wrangling and preprocessing, collaborates with cross-functional teams to translate business needs into data solutions, and applies data governance, security, and quality practices. The role provides hands-on data analytics engineering experience supporting business analytics and AI initiatives.