Top Analytics Jobs in Atlanta, GA

Lead complex data analytics engagements for private equity and corporate clients across the deal lifecycle. Translate data into actionable insights using visualization and predictive modeling, improve data quality, collaborate with cross-functional teams, coach staff, and validate outcomes with clients to drive decision-making and performance improvements.

Lead data-driven diligence and value-creation analytics for private equity and corporate clients. Manage teams and client accounts, build data pipelines and warehouses, perform complex analysis, predictive modeling, and scenario planning. Use Alteryx, Power BI, and Tableau to visualize insights, ensure data quality and security, and coach junior staff to drive client outcomes.

Lead deal analytics for private equity and corporate clients across the deal lifecycle. Translate complex and third-party data into actionable insights, oversee multiple projects, drive business development, mentor teams, and deploy visualization and analytics tools to improve post-deal performance and value creation.

This role involves developing analytical solutions to business problems using data mining and visualizations, managing data logistics, and presenting actionable insights to stakeholders.

Own and operate the Salesforce CRM Analytics practice: build and maintain CRMA dashboards, SAQL queries, dataflows and datasets; ensure performance, security, and data quality; integrate Data Cloud; collaborate with architects and analysts; mentor junior staff.

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.

Design, build, and validate data models and transformation pipelines in Microsoft Fabric. Create and maintain Power BI semantic models and enable self-service reporting. Translate stakeholder needs into analytics solutions, enforce governance and modeling standards, use Git for version control, and support testing, documentation, and continuous improvement.

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 end-to-end customer experience analytics: translate business questions, build/validate datasets, perform root-cause and impact analyses, influence stakeholders, and track post-implementation results. Partner cross-functionally, manage multiple projects, and communicate insights to senior leaders.

Analyze health data to identify cost-savings opportunities, develop BI rules and reports, translate trends into strategic recommendations, manage projects, mentor staff, and present findings to executives and stakeholders.

Manage a team to build repeatable reports, dashboards, and scorecards; ensure data integrity and support self-service BI users; collaborate with Sales, Marketing, Customer Care and Strategy; design and run A/B and multivariate tests; communicate project status and deliver analytics that drive business decisions.

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.

The Data Architect will lead data architecture and management, focusing on ETL, EDI, and data warehousing solutions while managing team innovations and strategies.

Lead Brambles' enterprise data foundations program: define and scale data strategy, governance, MDM, metadata, data quality and architecture; coordinate cross-functional delivery, embed data into ERP/analytics/digital programmes, build teams, and ensure compliance and global adoption.

Lead portfolio analytics for Amazon Credit & Payments: define problems, source and analyze data, build dashboards, measure and optimize lifecycle and campaign performance, partner cross-functionally, and coach analytics teams to drive growth, profitability, and improved customer experience.

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.

Design, build, and maintain scalable batch and streaming data pipelines, develop curated datasets and models, implement data quality/observability, optimize performance/cost, and create/maintain analytics dashboards and reports while collaborating with stakeholders and platform/security teams.

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.