Top Analytics Jobs in Atlanta, GA

Leads managed-services data analytics and business intelligence workstreams for healthcare revenue cycle operations. Oversees planning, budgeting, delivery, dashboards, reporting, data models, and system data flows. Guides teams using Azure Data Factory and cloud data pipelines, ensures analytics quality and security compliance, resolves client issues, mentors staff, and identifies opportunities for automation, advanced analytics, and AI-supported tools.

Collects, processes, and analyzes complex datasets to produce actionable insights, automated reports, dashboards, and visualizations. Partners with cross-functional teams to ensure data accuracy, integrity, and effective decision-making. Performs statistical analysis, validates data, improves reporting processes, and coaches stakeholders on data consumption. Preferred experience includes applying AI tools, developing AI-enabled solutions, translating business needs into AI use cases, and following responsible AI practices.

Leads Sales Business Intelligence strategy and AI transformation as a senior individual contributor. Develops enterprise Power BI dashboards, data models, SQL transformations, metrics frameworks, AI agents, and automated analytical workflows. Partners with sales leadership, IT, engineering, security, and governance teams to deliver trusted insights, improve adoption, reduce manual reporting, and influence revenue decisions. Mentors analysts and drives AI-enabled ways of working without direct people-management responsibility.

Leads enterprise business data strategy, governance, analytics, business intelligence, AI enablement, and modernization initiatives. Establishes data ownership models, roadmaps, KPIs, and governance frameworks while partnering with executives and business functions. Builds data and analytics capabilities, develops investment cases, drives transformation value realization, promotes data literacy, and leads cross-functional change to improve decision-making and business outcomes.

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.

Leads supply chain business intelligence, operational reporting, and advanced analytics for distribution operations. Develops SQL analyses, Power BI dashboards, data strategies, KPI governance, and decision-support tools to improve cost, service, quality, safety, labor productivity, and network performance. Partners with executives and cross-functional teams, oversees analytics projects, and coaches analysts while translating operational challenges into actionable insights.

Leads enterprise business intelligence, analytics, and reporting platforms. Defines strategy, governance, standards, roadmaps, and modernization initiatives; manages platform selection, migrations, rationalization, lifecycle, vendors, investments, and performance. Establishes semantic layers, governed metrics, self-service analytics, and reporting standards while partnering with business, architecture, engineering, security, and technology leaders. Builds high-performing teams and ensures scalable, secure, reliable, cost-effective analytics capabilities aligned with business outcomes.

Leads development and ongoing management of an enterprise money movement fact base. Integrates payment, transaction, product, system, platform, operational, and roadmap data across business lines. Establishes data structures, taxonomies, governance, and quality standards; analyzes complex datasets; identifies optimization and modernization opportunities; and develops recommendations for strategy and investment decisions. Presents findings to senior stakeholders while overseeing enterprise money movement analysis and related requests.

Supports Sales Strategy & Analytics through data analysis, research, and business performance insights. Prepares findings, conclusions, and data-driven recommendations for management; contributes to functional projects and process improvements; communicates issues and roadblocks; and assists with special projects. The role requires strong analytical, communication, organizational, and problem-solving skills, with opportunities to work cross-functionally and present recommendations.

Paid summer intern supporting the Analytics, Innovation and Modeling team with data science, automation, analytical solutions, and process documentation for Supervision and Regulation. The role requires full-time work for 10–12 weeks, collaboration across time zones, independent project ownership, and strong analytical and communication skills.

Leads multidisciplinary analytics, business intelligence, applied data science, AI, and product engineering teams. Owns analytical product strategy and delivery for infrastructure, cloud, reliability, FinOps, technology lifecycle, and operational performance. Translates complex technology problems into dashboards, visualizations, recommendations, conversational experiences, and decision-support products. Drives AI adoption, stakeholder engagement, roadmaps, talent development, and measurable business impact across enterprise environments.

Leads enterprise data architecture and engineering strategy for data, analytics, AI, and machine learning capabilities. Oversees architects, engineers, and technical leaders; establishes cloud, MLOps, CI/CD, governance, security, observability, and Responsible AI standards. Drives reusable data and AI platforms, productionizes AI solutions, improves performance and cost efficiency, and communicates technology value and risk to senior stakeholders. Mentors technical talent and aligns North America solutions with enterprise architecture and cybersecurity organizations.

Leads category and innovation analytics intelligence for global business planning and performance routines. Delivers insights for business reviews, identifies growth opportunities, improves analytics tools and workflows, drives adoption, ensures data integrity, and influences senior stakeholders across marketing, commercial, finance, strategy, and technology. Requires strong data storytelling, category analytics, advanced analytics, collaboration, and stakeholder management experience in FMCG environments.

The Compliance Data & Analytics Manager develops AI and automation prototypes, integrates disparate data sources, builds Python and SQL analytics workflows, and creates web applications and automated alerts for compliance risk intelligence. The role partners with Legal, Finance, Regulatory Affairs, data science, and business intelligence teams to improve risk models and translate regulatory requirements into actionable analytical solutions.

Analyze large and complex datasets for consumer and mortgage credit-loss forecasting. Acquire and integrate data, identify trends, apply statistical techniques, interpret forecast outcomes, assess financial impacts, and provide actionable recommendations. The role also supports model risk governance, monitors recommendation results, ensures data compliance, and communicates insights to business partners.

Analyze lending data using SQL, Python, and Hex to answer business questions, build dashboards, investigate data issues, and support decisions. The intern will study lending metrics, campaign performance, and A/B tests; document data definitions; validate pipeline outputs; gather requirements; and communicate findings to stakeholders. The role also offers exposure to cloud data platforms, data quality, vendor reporting, and consumer lending analytics.

Senior individual contributor leading Sales BI strategy and AI transformation. Responsibilities include developing enterprise Power BI dashboards and data models, defining sales metrics, delivering production AI agents and automated analytical workflows, shaping Snowflake and AI analytics infrastructure, leading cross-functional initiatives, mentoring analysts, and influencing sales executives through data-driven recommendations. The role requires measurable adoption and business impact from AI-enabled analytics, without direct people-management responsibility.

Lead analytics and data science initiatives to drive measurable business outcomes across various functions, including Underwriting and Claims. Oversee the full analytics lifecycle, foster stakeholder engagement, and mentor junior team members.

Leads business intelligence and analytics for Verizon’s Business Markets Group. Designs measurement programs, develops advanced geospatial and financial models, evaluates sales and operational approaches, standardizes metrics, and converts complex data into strategic insights. Partners with business, technology, marketing sciences, and operational analytics teams while leading cross-functional data initiatives.

Own executive, board, investor, financial, and operational reporting for leadership. Build scalable dashboards, define consistent KPIs, reconcile data across systems, investigate performance changes, and translate complex business questions into actionable insights. Partner with Strategy, Finance, and senior leaders to automate recurring reporting, improve data accuracy, and support actuals-versus-budget-versus-forecast analysis.

Leads analytics teams and develops cross-channel measurement and testing strategies for digital marketing campaigns. Evaluates media performance, interprets marketing data, measures KPIs and ROI, and communicates insights through dashboards, analyses, and presentations. Advises clients and internal teams on optimization opportunities, marketing investment, and business results while developing analytics talent and ensuring high-quality delivery across client accounts.

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.

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.

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.