Top Analytics Jobs in Atlanta, GA

Leverage data analytics, business intelligence, and Python to deliver strategic insights and tailored solutions for clients. Build reports, dashboards, data pipelines, and support data architecture and quality initiatives. Analyze data from multiple sources to identify trends, improve operations, and inform decision-making. Collaborate with stakeholders and team members while continuously developing technical skills and contributing to process improvements.

Analyze and validate data from the car purchasing process, translate findings into recommendations, build dashboards and reporting solutions, and responsibly use AI tools. The intern will collaborate with stakeholders, manage multiple projects, complete a capstone project, and present results. The role provides mentorship and hands-on analytics experience in an in-office environment.

Supports PwC Deals diligence analytics projects through data gathering, analysis, research, visualization, data mining, algorithm development, and preparation of reports and presentations. The intern will use Alteryx and Power BI, integrate data from multiple sources, develop data-driven insights for clients, and learn from advisory professionals while contributing to cloud, data architecture, and AI-related initiatives.

Lead complex data analytics projects for private equity and corporate clients across the deal lifecycle. Translate data into actionable insights using visualization and modeling tools, improve data quality, build predictive models, collaborate with cross-functional teams, coach staff, interact with clients strategically, and validate outcomes to drive deal decisions and performance improvement.

Leverage data analytics, business intelligence, and data science techniques to deliver strategic insights and solutions for clients. Build reports, dashboards, data pipelines, visualizations, and data architecture using tools such as Oracle BI, QlikView, Spotfire, and BIRT. Ensure data quality, manage stakeholder relationships, improve analytics processes, interpret complex datasets, and mentor junior team members while contributing to client projects and business strategy.

Lead data-driven diligence and value-creation work for private equity and corporate clients. Manage teams and client accounts, perform complex analysis, develop predictive models and scenarios, build/maintain data pipelines and warehouses, improve data quality, and deliver visualizations and actionable recommendations using tools like Alteryx, Power BI, and Tableau.

Collects, processes, and analyzes moderately complex datasets to identify trends and actionable insights. Builds and maintains automated reports, dashboards, and data visualizations; performs statistical analysis and validation; improves reporting processes; and collaborates with cross-functional, technology, and data engineering teams to ensure data accuracy and support business decisions.

Produces and coordinates private-markets client reporting by gathering, validating, and analyzing fund, portfolio, performance, exposure, AUM, and market data. Supports reporting cycles, regulatory requests, fundraising RFPs and DDQs, client materials, webinars, and marketing collateral. Partners across investment, administration, product, and client-facing teams while improving workflows, standardizing processes, adopting technology, and managing information effectively.

Leads advanced analytics, competitive intelligence, scenario planning, predictive modeling, and local-market growth strategies across fiber, wireless, and converged services. Develops business cases, financial models, dashboards, executive recommendations, and multi-year roadmaps to guide investment and resource allocation. Partners with senior business leaders, oversees strategy execution, and manages large analytics teams.

Design, build, and maintain ETL/ELT pipelines and API integrations to ingest, cleanse, transform, and analyze infrastructure and cloud data. Produce analytics, dashboards, and executive reports; automate workflows and support near-real-time processing. Follow SDLC/DevOps practices (Git, CI/CD), ensure data governance, quality, lineage, and support incident, release, and compliance activities.

Leads the global Voice of Customer strategy, enterprise survey governance, customer-listening programs, and integrated analytics capabilities. Transforms customer, operational, behavioral, and market data into executive insights, dashboards, and actionable recommendations. Owns Qualtrics strategy and vendor performance, advances AI-enabled analytics, and builds a high-performing global customer insights team while driving cross-functional adoption, accountability, and customer-centric business improvements.

Supports the design, validation, and delivery of data and AI solutions. Responsibilities include gathering requirements, exploring and reconciling complex datasets with SQL and Python, testing data pipelines and semantic models, investigating data quality issues, documenting data lineage, developing Power BI dashboards, and contributing to AI data agents using Microsoft Foundry and Fabric.

Designs, builds, tests, and supports enterprise data pipelines and Snowflake archival solutions for acquisitions, integrations, reporting, compliance, and analytics. Translates business and technical requirements into mappings, transformations, quality rules, and deployment plans. Collaborates with architecture, security, infrastructure, application, business, and vendor teams. Oversees validation, monitoring, documentation, cutover, go-live readiness, hypercare, and operational handoff while improving reusable, secure, cost-efficient data engineering practices.

Designs and implements governed enterprise data pipelines and Snowflake archival solutions supporting acquisitions, integrations, compliance, reporting, and analytics. Partners with architecture, security, application, infrastructure, business, and vendor teams to translate requirements into scalable pipelines, mappings, quality controls, monitoring, documentation, and deployment plans. Leads migration, cutover, validation, hypercare, and operational handoff activities while improving reusable engineering patterns, automation, performance, cost efficiency, and data observability.

Designs and supports claims data pipelines, integrations, ETL/ELT processes, reporting infrastructure, BI architecture, and automation solutions. Develops claims data models and analytics for segmentation, triage, assignment, and workflow optimization. Supports cloud platforms, AI-enabled predictive analytics, governance, validation, system integrations, testing, and deployment. Partners with Claims, IT, Finance, SIU, and Data teams to improve data accessibility, operational visibility, and reporting accuracy.

Design, develop, and maintain Power BI dashboards and reports; build data models, DAX measures, and Power Query ETL; perform statistical and geospatial analyses; validate and monitor data quality; collaborate with stakeholders to define KPIs; document solutions and present analytical insights to technical and non-technical audiences to support public health and program decision-making.

Design, build, and maintain enterprise Power BI dashboards, data models, and ETL workflows. Perform statistical and geospatial analyses, ensure data quality and governance, translate stakeholder needs into KPIs and reports, mentor junior analysts, and present insights to technical and non-technical audiences to support public health and government programs.

Leads an analytics team delivering actionable insights, dashboards, recommendations, and decision support for executives, business partners, and clients. Responsibilities include analytical project leadership, stakeholder prioritization, team coaching, quality governance, data modeling, Power BI and Fabric modernization, reporting automation, and executive storytelling. The role also establishes scalable analytics practices, improves data reliability and self-service adoption, and develops analysts through mentoring and performance management.

Uses advanced healthcare analytics to identify member and client needs, evaluate programs, develop predictive models and segmentation criteria, measure clinical, utilization, and financial outcomes, and guide product innovation and business strategy. Partners with clinical and business leaders, conducts applied research, develops analytical methodologies, addresses data limitations, and communicates findings through reports, white papers, conferences, and publications.

Leads the Data Analytics team supporting JLL’s asset services platform. Oversees database development, data management, dashboards, reporting, data quality, analytics, training, vendor relationships, and process improvement. Partners with clients and internal teams on asset management strategy, CMMS and assessment-system integration, AI-enabled workflows, business development, proposals, forecasting, profitability, and project delivery. The role is remote with up to 25% domestic travel.

Develops credit card analytics strategies to grow partner relationships and customer engagement. Integrates and analyzes large data sets, applies statistical techniques and predictive modeling, builds secure data environments, evaluates measurement tools, and delivers actionable insights. Leads dashboard and performance metric development while collaborating with marketing, product, analytics, vendors, and other cross-functional teams.

Leads regional marketing analytics strategy, performance measurement, attribution, media mix modeling, experimentation, lifecycle analytics, forecasting, and ROI optimization. Partners with marketing, product, finance, data science, engineering, and regional teams to guide investment and growth decisions. Builds dashboards, governance, and scalable measurement practices while translating complex analysis into executive recommendations. Manages and develops a high-performing marketing analytics team.

Leads long-range workforce and resource planning for contact center operations. Owns demand forecasting, staffing, capacity, headcount, cross-skill, and scenario models across business lines and channels. Develops advanced predictive and prescriptive analytics, performance metrics, and decision-support tools using complex data sets. Advises executives on resource allocation, service levels, costs, and business performance while governing data quality and analytical processes. Leads capacity planning analysts and drives continuous improvement through automation, machine learning, and improved forecasting methodologies.

Leads enterprise customer experience analytics, reporting, forecasting, automation, AI-assisted operations, and digital self-service initiatives. Builds dashboards, workforce models, retention insights, and containment strategies while partnering with CX, IT, Product, Claims, and AI teams. Drives contact center efficiency, customer retention, and service improvements, and helps establish a scalable Innovation & Analytics function.

Develop and maintain ETL/ELT pipelines across enterprise data lakes, warehouses, and BI platforms. Integrate, transform, validate, and monitor large datasets using Databricks, ODI, SQL, and Python. Support data quality, governance, metadata, lineage, semantic layers, dashboards, reporting, production troubleshooting, and operational maintenance. Collaborate with business and technical stakeholders to deliver scalable analytics solutions.