Top Analysis Reporting Jobs in Atlanta, GA

Research and verify mental health service directory records, including addresses, hours, contacts, costs, insurance, and eligibility tags. Apply screening criteria, cite supporting evidence, identify new local services, and flag records that do not fit the data model. The role requires careful spreadsheet organization, adherence to written procedures, accurate source checking, and clear communication with service organizations.

Owns data infrastructure, datasets, dashboards, predictive models, and AI-enabled workflows for JLL’s national industrial real estate platform. The role supports investor and occupier business development through analytics, market research, supply-chain mapping, reporting, presentations, and executive insights. Responsibilities include coordinating cross-functional teams, improving data protocols, evaluating technology platforms, automating repetitive analysis, supporting pursuits, and communicating analytical priorities to leadership.

Business Analyst supporting medium-to-large software development projects across multiple departments. Responsibilities include gathering and documenting requirements, creating process models and wireframes, coordinating with business and IT stakeholders, supporting UI design, developing UAT plans, communicating project status, and escalating risks. The role requires software development environment experience, strong documentation and communication skills, knowledge of Agile and other methodologies, and proficiency with Jira, Confluence, Microsoft Office, and related process and analytics tools.

Develops and leads business intelligence solutions, data models, reporting, exploratory analyses, and data governance initiatives. Communicates insights to stakeholders, drives BI adoption, improves data literacy, ensures data quality, and partners across Product, Underwriting, Actuarial, Finance, IT, Claims, and Analytics. The role also includes peer code reviews, project roadmaps, strategic data initiatives, stakeholder advising, and onboarding and developing team members.

Analyzes customer behavior, service interactions, transactions, and business trends to identify churn risks and retention opportunities. Develops customer health indicators, dashboards, reports, and scorecards; performs root-cause and retention analysis; and translates findings into actionable recommendations. Partners with Client Service, Sales, Operations, Product, Technology, and leadership teams to support proactive outreach, improve customer processes, automate reporting, and strengthen customer retention strategies.

Leads enterprise information architecture, business intelligence, and data warehouse strategy and delivery. Oversees BI and data warehouse teams, establishes roadmaps and governance, mentors technical staff, manages project priorities, and ensures high-quality implementation. Designs enterprise data models, datamarts, metadata, ETL processes, reporting strategies, and integration artifacts. Partners with business and technology stakeholders to align data solutions with strategic goals, improve adoption, track value, and drive continuous improvement.

Leads executive-level data strategy, governance, architecture, analytics transformation, and enterprise data management engagements. The role involves winning client work, shaping repeatable advisory offerings, overseeing large-scale delivery, advising senior stakeholders, building high-performing teams, and strengthening data-led transformation capabilities across infrastructure sectors.

Configure and implement Informatica IDMC MDM solutions for customer, product, and supplier domains. Responsibilities include data modeling, match and merge rules, survivorship, golden records, hierarchies, data quality, stewardship workflows, governance, duplicate management, testing, deployment, documentation, and production support. The role collaborates with business stakeholders, data governance teams, architects, integration teams, and data stewards to deliver trusted, governed enterprise master data.

Supports utility billing data infrastructure across North American data centers. Responsibilities include database development, SQL analysis, data pipeline monitoring, meter-data validation, reconciliation, automation, billing support, building onboarding, and root-cause investigation. The role develops backend services using Python and other languages, maintains integrations and CI/CD workflows, ensures data quality and traceability, and collaborates with technical and operational teams to improve billing reliability, compliance, and efficiency.

This internship provides hands-on experience building data pipelines and analytics processing on a modern data platform. Interns collaborate with engineers across the development lifecycle, including design, scoping, implementation, code review, and deployment. The program also includes professional development, networking, and onboarding activities. Candidates should be pursuing a bachelor’s degree in a relevant field and demonstrate strong communication, attention to detail, adaptability, and willingness to learn.