Top Senior Analytics Jobs in Atlanta, GA

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 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.

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.

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.

Develops data analytics and mining solutions to solve business problems, identify trends, and deliver actionable insights. Manages data logistics, structures, business rules, modeling, metadata, and analytical support tools. Validates project outputs, presents findings to stakeholders, and creates recommendations for marketing, sales, and supply chain partners. Independently resolves complex problems and may oversee concurrent projects, timelines, and team assignments.

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.

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.

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.

Leads business intelligence and analytics for strategic client programs, developing executive dashboards, scorecards, KPI reporting, and performance analyses. Analyzes operational, financial, transaction, compliance, and servicing data to identify trends and risks. Partners with cross-functional stakeholders, presents insights to executives and clients, supports forecasting and planning, establishes reporting governance and data quality standards, and improves reporting automation and self-service analytics.

Leads analytics teams delivering digital media measurement, testing strategies, campaign analysis, dashboards, and actionable insights for client accounts. Develops cross-channel measurement frameworks, evaluates marketing performance against KPIs and ROI, communicates findings to clients and stakeholders, and recommends investment and strategy optimizations. The role also develops analytics talent and ensures analytics integration across agency production processes.

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 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.

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 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.

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 quota modeling, territory design, and commission planning; maintain Salesforce data and dashboards; leverage Gong/Clari and AI tools to improve forecast accuracy; produce executive-ready sales performance analysis; collaborate cross-functionally and drive continuous improvement in reporting and data governance.

Design, validate, and deploy advanced quantitative models and predictive analytics to improve efficiency, reduce costs, and increase revenue. Collaborate with business partners to gather requirements, perform big data analysis, run simulations, and produce reports. Support model verification/validation and deployment.

Lead analytics for clinical decision support adoption and engagement: define metrics, query event-level usage, build dashboards, analyze funnels and cohorts, partner with product and cross-functional teams, and translate findings into actionable product recommendations to improve adoption and outcomes.