Top Analytics Jobs in Atlanta, GA

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.

Supports data analysis projects in PwC’s Advisory practice, researching datasets, identifying patterns, integrating data, and creating dashboards and visualizations with Alteryx and Power BI. Assists with algorithm development, analytics automation, and data-driven insights for clients. The internship emphasizes learning PwC methodologies, collaborating with experienced professionals, and gaining exposure to AI, cloud platform design, and data architecture.

Supports client-facing diligence analytics projects by gathering, integrating, and analyzing data; developing data-driven insights; creating dashboards and reports; conducting research and data mining; contributing to algorithm development; and preparing presentations. The intern uses Alteryx and Power BI, collaborates with advisory teams, and gains exposure to cloud platforms, data architecture, data science, and AI applications.

Provides analytics-driven advisory support for mergers, acquisitions, and other business transactions. Analyzes contract data to identify risks, obligations, performance insights, and compliance indicators; develops algorithms, data models, pipelines, visualizations, and machine learning solutions. Integrates multiple data sources, validates data integrity and security, communicates findings to clients, and mentors junior team members.

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.

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.

Lead strategic deposit pricing analytics focused on CDs, elasticity testing, deposit trends, yield-seeking behavior, and macroeconomic impacts. Serve as the subject-matter expert on CD data, translate findings into executive presentations, build automated self-service dashboards, and partner with finance, pricing, marketing, risk, product, and branch teams. Monitor competitor pricing and economic trends to inform retail banking product decisions.

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

Leads the Underwriting Data Engineering team and oversees the design, development, and productionization of scalable data and machine learning pipelines. Responsibilities include feature engineering, data preparation, model deployment, data validation, governance, monitoring, API integration, analytic data products, roadmap development, stakeholder collaboration, and team coaching.

Leads business intelligence and decision analytics strategy, overseeing data systems, reporting, optimization models, data quality, budgets, and cross-functional teams. Uses supply chain, customer, product, transactional, and financial data to identify operational and distribution improvements that increase profitability. Partners with senior leaders to implement advanced analytics capabilities and promote data-driven decision-making across the organization.

Own the Industrial platform’s data infrastructure, datasets, dashboards, models, and AI-enabled analytical workflows. Deliver investor and occupier business-development insights, supply-chain mapping, surveys, executive reporting, presentations, and pursuit support. Partner with Research, Sales Enablement, technology, operations, brokers, and leadership to improve data integrity, self-service reporting, platform capabilities, and automation. Coordinate cross-functional initiatives and translate quantitative analysis into actionable narratives for senior leaders and clients.

Analyze and model business data to uncover patterns and produce actionable insights. Manage data logistics, build and maintain data support tools and metadata, ensure data quality, create visualizations and presentations, and work with stakeholders across marketing, sales, and supply chain while managing multiple projects.

Analyze diverse datasets using advanced statistics, predictive modeling, trend analysis, and visualization to solve business problems and guide strategic decisions. Develop complex business cases, predictive models, dashboards, and reports using enterprise analytics platforms. Advise business partners and senior leaders on data-driven recommendations, lead high-impact analytics projects, develop innovative business strategies, and mentor colleagues.

Design and deliver data-driven solutions: mine and model data, manage data logistics and metadata, build data support tools, QA outputs, create visualizations and presentations, and communicate actionable insights to business partners while managing multiple projects.

Leads healthcare trend and actuarial analytics, investigating cost, utilization, financial, clinical, and operational drivers. Develops pricing, risk, valuation, reporting, dashboard, and forecasting analyses; translates complex findings into recommendations for leaders and business partners. Manages complex analytical projects, improves methodologies, and advances AI, automation, and visualization adoption. Provides actuarial support for product design, legislation, claims, premiums, enrollment, experience-rating formulas, and risk-sharing models while mentoring junior analysts.

Manages actuarial and quantitative analytics for marine and boiler insurance products. Leads strategic initiatives, performs pricing, reserving, forecasting, statistical, and research analyses, and communicates insights to business partners and leadership. Drives process improvements, manages projects, mentors staff, supports talent development, and contributes to underwriting, product management, and enterprise initiatives.

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.

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

Develops data-driven solutions for business problems through data mining, modeling, analysis, and visualization. Manages data logistics, structures, business rules, metadata, and analytical support tools. Deploys and validates analytical solutions, communicates findings and recommendations to stakeholders, and manages multiple projects, timelines, and scopes. Independently resolves complex problems and may oversee project work and team development.

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.

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

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.

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.

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.