Top Analysis Reporting Jobs in Atlanta, GA

Participate in a 10-week business analyst internship by analyzing business data, solving challenges, developing insights, presenting findings, and collaborating with teams. Interns receive mentorship, technical and soft-skills training, and opportunities to contribute to impactful projects while building analytics, strategy, communication, and leadership skills.

Build and operate production data pipelines connecting marketing, CRM, licensing, payment, and operational systems with Databricks. Develop PySpark and SQL ETL/ELT workflows, dimensional models, APIs, data quality monitoring, identity resolution, and customer segmentation data flows. Support HubSpot enrichment, lifecycle marketing, campaign attribution, funnel reporting, and marketing ROI analytics while maintaining documentation, alerting, and incident response processes.

Administer enterprise Oracle, Microsoft SQL Server, and PostgreSQL databases in high-availability hybrid cloud environments. Responsibilities include database installation, configuration, maintenance, performance tuning, security hardening, encryption, backup and disaster recovery, and migration to Azure Government Cloud. The role supports contract management and financial tracking systems, applies DISA STIGs, manages clustering and partitioning, and ensures mission-critical data availability for government users.

Analyzes business and operational data to create dashboards, reports, forecasts, and actionable recommendations. Partners with sales, operations, shippers, carriers, and internal stakeholders to address business needs, automate processes, improve performance, and support revenue decisions. Maintains data sources, leads ad hoc analysis, manages initiatives and deadlines, escalates issues, and identifies process improvements.

Analyzes customer loyalty data to generate actionable insights, recommendations, visualizations, and narratives for clients. Builds audience lists, applies segmentation and statistical modeling techniques, develops test plans, and collaborates with CRM, Data Engineering, Business Intelligence, Strategy, and Client Services teams. The role is client-facing and manages request prioritization while supporting loyalty marketing initiatives and measurable business outcomes.

Analyze complex datasets, optimize SQL queries, develop dashboards and visualizations, ensure reporting accuracy, and translate findings into actionable recommendations. The role supports strategic reporting and data-driven decisions while communicating insights to stakeholders. Experience with cloud data environments and AI-powered analytics tools is preferred.

Manage quantitative analytics consulting projects, including hypothesis development, data collection, modeling, analysis, research, and insight generation. Oversee analysts, collaborate with clients and partners, deliver high-quality project outcomes, manage demanding workloads, and coach team members. The role requires strong quantitative, communication, documentation, and presentation skills, proficiency with analytics software, and regular travel.

The Senior Applications Analyst oversees Business Needs Assessments for Oracle Cloud ERP, optimizing applications and translating business requirements into system designs. Responsibilities include leading documentation, managing the application lifecycle, and collaborating with technical teams to ensure functionality and data integrity.

The Senior Analytics Engineer builds and maintains data models, ETL pipelines, analytics products, business intelligence solutions, and visualizations. The role partners with stakeholders, Data Governance, Data Science, and Data Platform teams to define metrics, improve data quality, support AI and machine learning initiatives, and establish software engineering practices. Additional responsibilities include DataOps, workflow orchestration, technical documentation, business advising, and emergency response support. The position requires advanced SQL and Python skills, data engineering experience, and travel up to 10%.

Owns the enterprise Data Lakehouse platform, including operations, configuration, integrations, monitoring, data validation, issue resolution, vendor management, releases, documentation, security controls, and lifecycle improvements. Translates stakeholder requirements into data solutions, coordinates cross-functional technology teams, guides platform initiatives, and ensures reliable support for business intelligence, reporting, analytics, and AI use cases.