Top Analytics Jobs in Atlanta, GA

Assist in implementing digital analytics strategies, analyzing metrics, creating reports, and providing optimization recommendations for marketing clients.

Develop and deploy fraud detection models using analytics and machine learning, monitor real-time transactions, investigate incidents, design dashboards and reports, collaborate with IT and security, ensure regulatory compliance, and recommend preventive measures against payment and e-commerce fraud.

The Head of Actuarial Pricing Analytics will lead the development of statistical models, enhance modelling processes, and drive AI adoption, while collaborating across teams to optimize pricing strategies for insurance products in North America.

The Business Strategist will align client strategies with data analysis solutions, managing projects and analytics to provide insights and recommendations for business growth.

Lead benefits analytics for private equity-backed clients: acquire and validate data, build financial models and projections, produce dashboards and executive reports, present insights to clients, manage projects, mentor junior analysts, and coordinate vendors and reconciliation efforts.

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.

Data and Analytics Consultants deliver strategic initiatives using data-driven decisions, collaborating with clients and teams to solve complex business problems with technology solutions.

Lead and scale a global marketing analytics function to standardize KPIs, modernize reporting and data models, deliver actionable insights, and partner cross-functionally to improve pipeline performance, ROI, and data-driven decision-making.

Lead growth of the customer analytics practice for Communications, Media & Technology clients. Define strategies and thought leadership, communicate analytics value, and lead large-scale, complex client engagements. Deliver customer analytics, CRM modeling, reporting, and predictive analytics solutions to drive client outcomes.

Lead architecture and build scalable, high-performance data pipelines and transformation layers (dbt/Snowflake). Define data modeling standards, mentor engineers, partner with stakeholders to deliver trusted data products, enforce governance, optimize costs, and improve tooling, testing, and documentation.

Lead enterprise vision, strategy, and operating model for data and analytics engineering. Build and scale multi-layer engineering organizations, govern and modernize cloud-based data platforms, champion data products and AI capabilities, manage budgets and vendors, and partner with executive stakeholders to drive analytics adoption and transformation.

Lead analytics, reporting, and data research across functions; design and implement reporting and dashboards; manage and mentor business analysts; define and measure sales KPIs; run voice-of-customer analysis and vendor relationships; and drive automation across sales, operations, customer service, and marketing.

Lead a cross-functional actuarial team to build and scale pricing/rating capabilities on the Earnix platform. Own technical model buildout, automation, analytics, collaboration with data science and engineering, vendor management, and talent development while driving strategic initiatives and translating complex technical work for business stakeholders.

Analyze adoption, engagement, and telemetry data to measure product performance and value. Build and maintain executive scorecards and dashboards, partner with Power BI developers and data engineers to ensure data accuracy, identify trends and risks, support leadership reviews, and document measurement methodologies while collaborating with UX researchers and product teams.

Lead customer-facing analytics to turn multi-source data into actionable insights that drive growth and retention. Embed analytics in sales cycles, build dashboards and playbooks, translate business questions into solutions, capture customer needs, deliver trainings and demos, combine internal and industry signals to craft market perspectives, and engage with strategic customers and industry forums.

Manage analytics workstreams across operations: triage and root-cause data issues, partner with engineering, data, and customer success to implement fixes, scope and execute analyses, develop dashboards and reports, communicate findings to technical and non-technical stakeholders, and lead a small analytics team.

The Analytics Manager will lead analytics for the Payments and Identity lifecycle, manage a team of analysts, develop KPIs, and ensure data quality while collaborating with cross-functional teams.

Provide advanced analytics, reporting, and predictive modeling to identify, monitor, and mitigate risks across portfolios. Build, validate, and present analysis and models, troubleshoot data issues, collaborate with IT and business lines, and deliver actionable insights to management.

Designs and deploys analytics solutions to solve business problems using data mining, statistical techniques, and data engineering. Builds data pipelines, metadata inventories, and visualizations; validates outputs; presents actionable insights to stakeholders across marketing, sales, and supply chain. Manages multiple projects and mentors colleagues.

Lead HR analytics for People & Culture and Capacity & Resource Management: build and maintain dashboards and reports, extract/clean large datasets, deliver talent and capacity insights, run data-driven programs, improve reporting processes, maintain documentation, and mentor team members while collaborating across functions to inform strategic workforce decisions.

Use SQL and Databricks to extract, clean, and analyze data; build statistical and machine learning models; create Power BI dashboards and forecasts; run A/B tests; present insights and collaborate with cross-functional teams to drive data-driven decisions.

Partner with business stakeholders to define and execute analytical projects: clean and prepare data, build statistical and ML models, create visualizations, deliver actionable insights, and support deployment while mentoring junior analysts.

Perform financial due diligence data analytics for middle-market M&A: obtain, validate, normalize, analyze transaction data (revenue, costs, inventory), produce dashboards and visualizations, identify trends/outliers, and communicate insights to deal teams and clients.

Manage a team to produce repeatable reports and dashboards, ensure data integrity, support BI tool users, develop complex analytics, collaborate with Sales/Marketing/Customer Care, and design A/B and multivariate tests to drive measurable financial results.

Lead design and delivery of predictive and prescriptive analytics, build optimization and simulation models, translate technical outputs into business recommendations, mentor junior analysts, embed decision-support into dashboards and workflows, and promote technical standards and adoption across the analytics team.