Top Senior Analytics Jobs in Atlanta, GA

Leads Sales Business Intelligence strategy and AI transformation as a senior individual contributor. Develops enterprise Power BI dashboards, data models, SQL transformations, metrics frameworks, AI agents, and automated analytical workflows. Partners with sales leadership, IT, engineering, security, and governance teams to deliver trusted insights, improve adoption, reduce manual reporting, and influence revenue decisions. Mentors analysts and drives AI-enabled ways of working without direct people-management responsibility.

Leads enterprise business data strategy, governance, analytics, business intelligence, AI enablement, and modernization initiatives. Establishes data ownership models, roadmaps, KPIs, and governance frameworks while partnering with executives and business functions. Builds data and analytics capabilities, develops investment cases, drives transformation value realization, promotes data literacy, and leads cross-functional change to improve decision-making and business outcomes.

Lead the strategy and governance for GTM analytics across pre-sales, post-sales, solutions engineering, forward-deployed engineering, and professional services. Establish trusted source-of-truth metrics, data models, semantic layers, self-service analytics, and AI-assisted querying. Partner with Data, Finance, Sales, and Services leaders to resolve metric definitions, improve data access, consolidate reporting, and guide cross-functional programs without direct authority.

Analyzes sales, client, ownership, and market data to identify growth opportunities and improve sales effectiveness. Builds dashboards, data products, segmentation models, targeting insights, and automated analytics. Manages analytical workstreams, translates business questions into scalable solutions, and communicates recommendations to Distribution, Marketing, Product, Data Science, and Technology stakeholders.

Leads category and innovation analytics intelligence for global business planning and performance routines. Delivers insights for business reviews, identifies growth opportunities, improves analytics tools and workflows, drives adoption, ensures data integrity, and influences senior stakeholders across marketing, commercial, finance, strategy, and technology. Requires strong data storytelling, category analytics, advanced analytics, collaboration, and stakeholder management experience in FMCG environments.

The Compliance Data & Analytics Manager develops AI and automation prototypes, integrates disparate data sources, builds Python and SQL analytics workflows, and creates web applications and automated alerts for compliance risk intelligence. The role partners with Legal, Finance, Regulatory Affairs, data science, and business intelligence teams to improve risk models and translate regulatory requirements into actionable analytical solutions.

Analyze large and complex datasets for consumer and mortgage credit-loss forecasting. Acquire and integrate data, identify trends, apply statistical techniques, interpret forecast outcomes, assess financial impacts, and provide actionable recommendations. The role also supports model risk governance, monitors recommendation results, ensures data compliance, and communicates insights to business partners.

Senior individual contributor leading Sales BI strategy and AI transformation. Responsibilities include developing enterprise Power BI dashboards and data models, defining sales metrics, delivering production AI agents and automated analytical workflows, shaping Snowflake and AI analytics infrastructure, leading cross-functional initiatives, mentoring analysts, and influencing sales executives through data-driven recommendations. The role requires measurable adoption and business impact from AI-enabled analytics, without direct people-management responsibility.

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.

Leads business intelligence and analytics for Verizon’s Business Markets Group. Designs measurement programs, develops advanced geospatial and financial models, evaluates sales and operational approaches, standardizes metrics, and converts complex data into strategic insights. Partners with business, technology, marketing sciences, and operational analytics teams while leading cross-functional data initiatives.

Leads analytics teams and develops cross-channel measurement and testing strategies for digital marketing campaigns. Evaluates media performance, interprets marketing data, measures KPIs and ROI, and communicates insights through dashboards, analyses, and presentations. Advises clients and internal teams on optimization opportunities, marketing investment, and business results while developing analytics talent and ensuring high-quality delivery across client accounts.

Owns data infrastructure, datasets, dashboards, predictive models, and AI-enabled workflows for JLL’s national industrial real estate platform. The role supports investor and occupier business development through analytics, market research, supply-chain mapping, reporting, presentations, and executive insights. Responsibilities include coordinating cross-functional teams, improving data protocols, evaluating technology platforms, automating repetitive analysis, supporting pursuits, and communicating analytical priorities to leadership.

Designs and administers scalable Tableau analytics platforms, optimizing dashboards, data sources, extracts, queries, and cloud infrastructure. Builds CI/CD pipelines and Python automation for Tableau, Snowflake, and Salesforce integrations. Establishes governance, security, monitoring, and performance standards while collaborating with Data Engineering and Analytics teams to deliver reliable enterprise reporting solutions.

Designs and maintains scalable enterprise analytics infrastructure centered on Tableau. Responsibilities include Tableau Cloud administration, architecture, dashboard performance optimization, security governance, CI/CD deployment, Python automation, and integration with Snowflake and Salesforce. The role partners with Data Engineering and Analytics teams to build reusable pipelines, reliable data models, monitoring capabilities, and high-performing analytics solutions.

Build and maintain production-grade data models while migrating workflows from Alteryx to dbt. Manage Dagster or Airflow pipelines in Redshift, create Tableau dashboards, and translate technical data into RevOps insights. Partner with Sales, Marketing, and Customer Experience leaders on KPI reporting, ABM, and customer health scoring. Explore AI, LLM, predictive analytics, and SageMaker machine learning applications including churn prediction and lead scoring.

Manage quantitative analytics consulting projects, including hypothesis development, data collection, modeling, analysis, research, and insight generation. Oversee analysts, collaborate with clients and partners, deliver high-quality project outcomes, manage demanding workloads, and coach team members. The role requires strong quantitative, communication, documentation, and presentation skills, proficiency with analytics software, and regular travel.

The Senior Analytics Engineer builds and maintains data models, ETL pipelines, analytics products, business intelligence solutions, and visualizations. The role partners with stakeholders, Data Governance, Data Science, and Data Platform teams to define metrics, improve data quality, support AI and machine learning initiatives, and establish software engineering practices. Additional responsibilities include DataOps, workflow orchestration, technical documentation, business advising, and emergency response support. The position requires advanced SQL and Python skills, data engineering experience, and travel up to 10%.

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.

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 data and analytics engineering across cross-functional teams, translating business needs into technical solutions, managing data models and context layers, and ensuring data quality, governance, and accessibility. Establishes innovation environments, develops training and cross-skilling programs, mentors data professionals, supports self-service analytics and AI capabilities, and drives continuous improvement, technical reviews, and strategic data initiatives.

Serves as the bridge between procurement stakeholders and technical data teams, governing procurement data across ERP, master data, data lake, BI, and reporting platforms. Responsibilities include defining data standards, maintaining metadata and mappings, validating transformations, monitoring data quality, resolving data issues, supporting testing, and enabling analytics. The role also translates business requirements into technical specifications and contributes to procurement transformation and continuous improvement.

Deliver analytics consulting projects involving process automation, data visualization, statistical analysis, and analytical tool development. Partner with stakeholders to identify business value, build minimum viable products and production applications, and train business users. Use tools such as Dataiku, Alteryx, Tableau, Power BI, Sigma, SQL, Python, cloud platforms, and modern databases while managing projects independently.

Develops AI, analytics, SQL, Python, and Tableau solutions for Internal Audit across risk assessment, planning, testing, reporting, and continuous monitoring. Builds data extraction and reconciliation workflows, audit dashboards, repeatable testing scripts, and AI-assisted tooling. Assesses data lineage, controls, and risks across business systems, supports GRC administration, identifies automation opportunities, and trains audit staff on analytics and AI-enabled workflows.

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.