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Manager Data Science Analytics Jobs in Columbus, GA

Sr Data Consultant

Columbus, GA ยท On-site +1

$120K - $160K/yr

Experience with data pipeline and workflow management tools. * Business Intelligence and Data Science analyses. Education & Experience Required * Bachelor's Degree in Analytics, Computer Science or ...

Sr Data Consultant

Columbus, GA ยท On-site +1

$120K - $160K/yr

Experience with data pipeline and workflow management tools. * Business Intelligence and Data Science analyses. Education & Experience Required * Bachelor's Degree in Analytics, Computer Science or ...

Bachelor's degree in Data Science, Computer Science, or a related field * Minimum of 3-5 years of experience in data management, analytics, or similar, preferably within a marketing environment

Update inventory management systems with real-time equipment status. Collaboration and Support ... Associate's degree in IT, Computer Science, or related field; or equivalent hands-on experience.

Data analysts/data scientists * Machine learning engineers Who Should Apply * Recent graduates in Computer Science, Engineering, Mathematics, or Statistics who want a career in IT. * Candidates of ...

Southern Company Services Position Overview The Data Analyst IV plays a critical role in supporting the Facility Manager to ensure efficient operation of the facility and Data Hall environments. This ...

Detail-oriented self-starter with solid time management abilities. * Knowledge of data analytics tools and software (e.g., Python [Preferred], R, Tableau, Power BI). * Basic understanding of ...

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Manager Data Science Analytics information

See Columbus, GA salary details

$27.7K

$87K

$154K

How much do manager data science analytics jobs pay per year?

As of Jun 13, 2026, the average yearly pay for manager data science analytics in Columbus, GA is $86,956.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,100.00 and $112,300.00 per year, depending on experience, location, and employer.

What is the difference between Manager Data Science Analytics vs Data Scientist?

AspectManager Data Science AnalyticsData Scientist
CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often requires leadership experienceBachelor's or Master's in Data Science, Computer Science, or related field; focus on technical skills
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersPerforms data analysis, builds models, explores data independently or in small teams
Employer & Industry UsageUsed in organizations with analytics teams, across industries like tech, finance, healthcareCommonly employed in data-driven roles across similar industries

The main difference is that a Manager Data Science Analytics oversees teams and projects, focusing on leadership and strategic planning, while a Data Scientist primarily conducts technical data analysis and modeling. Both roles require strong analytical skills, but the managerial position emphasizes team management and stakeholder communication.

What cities near Columbus, GA are hiring for Manager Data Science Analytics jobs? Cities near Columbus, GA with the most Manager Data Science Analytics job openings:

Senior Manager, Data Analytics

Holley Performance

Opelika, AL โ€ข On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

About Holley Performance Brandsโ€ฏ

Holley Performance Brands is the powerhouse behind some of the most iconic names in automotive performance. For over a century, weโ€™ve fueled the passion of car and truck enthusiasts with innovative products, legendary brands, and a commitment to performance. From the racetrack to the street, weโ€™re driven by a shared love for speed, power, and pushing whatโ€™s possible โ€” and weโ€™re building the next generation of digital experiences to match that same energy.

About The Team

At Holley Performance Brands, our Customer Experience Center of Excellence team is shaping the future of Holleyโ€™s 360ยฐ digital retail experience. We help customers connect with the right products across Holleyโ€™s brands, stores, distributors, and partners. Our goal is simple โ€” create personalized, data-driven experiences that build lasting relationships between brands and their customers.

About The Role

We are looking for an analytically rigorous and commercially minded Senior Manager of Data Analytics to lead the measurement, reporting, and insight generation across our direct-to-consumer channels and business divisions. This is a senior individual contributor and team leadership role that sits at the center of how our automotive DTC business understands its performance โ€” translating complex, multi-source data into clear strategic recommendations that drive smarter decisions across marketing, sales, operations, and divisional leadership.

This role requires someone who understands the unique data challenges of an automotive DTC environment โ€” longer purchase cycles, multi-touch customer journeys, high-consideration buying behavior, and the complexity of managing performance across distinct product lines or regional divisions โ€” and who can build the analytical infrastructure needed to make sense of it all.

The Senior Manager will report to the Director of eCommerce (or CXM leadership) and play a pivotal role in elevating data as a core driver of Holleyโ€™s digital transformation and revenue growth.

Key Responsibilities

  • Analytics Strategy & RoadmapDefine and own the analytics strategy for all DTC channels โ€” including owned digital (website, configurator, online sales), paid media, CRM, and retail or field touchpoints โ€” ensuring a consistent and reliable measurement framework across all of them. Build andmaintaina divisional analytics model that allows leadership to understand performance at both the enterprise level and within individual product lines, regions, or business units. Develop a rolling analytics roadmap that prioritizes the questions the business most needs answered and builds toward greater predictive and prescriptive capability over time.
  • Channel AnalyticsOwn performance measurement across all DTC channels โ€” digital marketing, paid search and social,emailand CRM, organic, and direct sales โ€” providing a clear and unified view of how each channel contributes to pipeline, leads, and sales. Build attribution models that reflect the complexity of the automotive purchase journey, where customers may interact across 10โ€“20 touchpoints over weeks or months before converting. Analyze channel efficiency and cost-per-acquisitionat a granular level,identifyingwhere spend is generating return and where it is not. Partner with the paid media and performance marketing teams to develop a test-and-learn measurement framework, ensuring experiments are properly structured and results are statistically valid. Monitor and report on digital funnel performance โ€” from awareness and traffic through to configurator engagement, lead submission, and closed sales โ€”identifyingdrop-off points and conversion opportunities.
  • Divisional AnalyticsDevelop divisional scorecards and reporting cadences that give each business unit or product line leadership team a clear view of their performance across revenue, customer acquisition, retention, and channel contribution.Identifyperformance variances across divisions, surfacing the drivers behind differences in customer behavior, conversion rates, or channel mix. Support divisional planning cycles with data-driven forecasts, scenario models, and market sizing analyses. Build competitive intelligence frameworks that track how each division is performingrelativeto market trends and competitor positioning in the DTC automotive space.
  • Ah hoc development of data tables and reports in BI
  • Data Infrastructure & GovernanceDefine data governance standards for channel and divisional reporting, including metric definitions, data ownership, and refresh cadences.
  • Insight Generation & StorytellingDevelop a regular insight communication rhythm โ€” weekly performance snapshots, monthly deep dives, and quarterly strategic reviews โ€” tailored to the needs of different audiences. Proactively surface opportunities and risks that the business may not be actively looking for, acting as an analytical conscience for the organization. Build self-service reporting capabilities that empower channel and divisional teams to answer their own day-to-day questions without always needing to come to the analytics team.
  • Team LeadershipManage CXM Data Analyst(s), setting clearobjectivesand creating an environment focused on rigor, curiosity, and commercial impact. Build team processes and ways of working that allow the analyticsfunction to scalealongside the business. Foster strong relationships with stakeholders across marketing, sales, product, finance, and divisional leadership, positioning analytics as a genuine strategic partner rather than a reporting function.โ€ฏ

Qualifications

Education: Bachelorโ€™s degree in business, Marketing, Information Technology, Psychology, or a related field.โ€ฏ

โ€ฏ

Experience:

  • Minimum 5 years in eCommerce, product management, or a related field, with at least 3 in a hands-on operational role managing DTC or retail eCommerce channels.
  • Proven experience acting as a liaison between business and technical teams to deliver successful digital product outcomes.
  • Experience working within an Agile framework, contributing to collaborative story writing and cross-functional sprint planning.

Skills:

  • Strong understanding of eCommerce platforms (e.g.,Shopify, BigCommerce)and retail best practices.
  • Proficiencyin product management tools (e.g., Jira, Confluence) and data-driven decision-making.
  • Excellent communication and collaboration skills across business and technical stakeholders.
  • Confident decision-making ability, with a balance of independence and teamwork.
  • Demonstrated adaptability to changing processes, priorities, and organizational structures.
  • Ability toidentifyopportunities for efficiency and process improvement.

Preferred Skills:

  • Experience with automotive aftermarket products or related industries.
  • Familiarity with UX/UI design principles and customer journey optimization.
  • Knowledge of emerging trends in eCommerce and digital retail.

Why Join Us

  • Opportunity to shape Holleyโ€™s DTC eCommerce channel during an exciting period of digital transformation.
  • Collaborate with a passionate, innovative team of professionals dedicated to customer-focused growth.
  • Competitive salary and benefits package.
  • Contribute to the success of Holley Performance Brands, a leader in the performance aftermarket industry.
  • Work in an environment that values collaboration, adaptability, and hands-on execution.

Why Holley Is a Great Place to Work

At Holley, weโ€™re more than a performance parts companyโ€”weโ€™re a community of enthusiasts, innovators, and problem-solvers. We offer a competitive benefits package and a culture that values both performance and people.

Benefits:

  • Competitive medical, dental, and vision coveragestarting day one.
  • 401(k) with company match
  • Paid time off and9paid holidays
  • Employee Assistance Program (EAP)
  • Company-paid life andshort-termdisability insurance
  • Employee discounts on Holley Performance Brands products, events,and partnerships
  • Education Assistance program

Holley is an Equal Opportunity Employer committed to building a diverse and inclusive workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, veteran status, disability, or any other legally protected status.