Top Analysis Reporting Jobs in Atlanta, GA

Administer and monitor AWS PostgreSQL databases, optimize complex queries, review schemas and indexes, guide data architecture, support releases and infrastructure growth, and maintain RDS systems. The role also automates manual workflows using AI tools, collaborates cross-functionally, and mentors junior and mid-level engineers while establishing database best practices.

Conduct competitive intelligence research and analysis supporting RFPs, pitches, presentations, and business development. Develop company, industry, and individual profiles; analyze datasets; maintain legal experience repositories and firm statistics; and create concise marketing deliverables. Use and document AI-assisted research workflows while validating accuracy and confidentiality. Collaborate with attorneys, business development teams, partners, practice managers, and graphics staff while managing shifting priorities and internal client requests.

Develops and optimizes distributed genomic data pipelines using Hadoop, Spark, Hive, Impala, SQL, and ETL workflows. Integrates genomic, laboratory, epidemiological, and public health datasets from external repositories, ensuring data quality, governance, security, and reproducibility. Collaborates with bioinformaticians, epidemiologists, and laboratory scientists to support pathogen genomics, outbreak detection, surveillance, and situational awareness. Maintains version-controlled pipelines, documentation, data lineage, reports, and scientific communications. This is an on-site role in Atlanta with weekly team meetings.

The Senior eDiscovery Analyst advises litigation teams and clients on ESI preservation, collection, processing, review, analysis, and production. The role manages Relativity applications, develops discovery databases and documentation, troubleshoots data, and supports cloud and collaboration data sources. It designs and validates Relativity aiR workflows, mentors analysts on generative AI, and ensures defensible review practices. The analyst also manages multiple projects, maintains technical expertise, supports clients and vendors, works Eastern Time hours, and meets a 1,400-hour annual billable goal.

Architects and implements scalable data pipelines and enterprise data solutions spanning data lakes, warehouses, marts, and distributed systems. Designs dimensional and semantic data models, curated datasets, and Power BI reporting solutions with DAX, security, governance, and performance optimization. Establishes data lineage, metadata, stewardship, compliance, and secure access practices. Collaborates with stakeholders to translate business and reporting requirements into reusable analytics assets, while supporting AI and MLOps data pipelines across cloud and hybrid platforms.

Leads and coaches a data engineering team while contributing hands-on to platform architecture, data modeling, ETL pipelines, data quality, and analytics solutions. Designs trusted facts, dimensions, snapshots, and slowly changing dimensions using Snowflake, Databricks, dbt, and Airflow. Partners with stakeholders, security teams, vendors, and cross-functional groups on data strategy and controls, resolves production issues, supports incident response, and develops engineering talent.

Design, build, test, and maintain scalable ETL/ELT pipelines and cloud data solutions (Azure, Databricks, Synapse, Snowflake). Optimize SQL/C# data processing, implement data validation and CI/CD, leverage AI tools to automate workflows, collaborate with stakeholders, and support SharePoint environments.

Design, develop, and maintain enterprise data solutions and pipelines using Azure data platform and Microsoft Fabric. Support data modeling, master data management, medallion architecture, data quality, and integrations to produce trusted, scalable data for analytics and BI.

The Workday HCM Consultant will focus on functional and technical aspects of Workday HCM, particularly in financials, reporting, and integration. Healthcare experience is preferable.

The VP of Data Science & Strategy will transform complex business challenges into actionable growth strategies, leveraging data to influence decisions and drive company strategy.