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Product Manager Data Analytics Jobs in Alabama (NOW HIRING)

Data Analytics Analyst 3 Location: Birmingham, AL ( HYBRID) Contract- 3 Years Client- Alabama Power ... Partner with project managers, engineers, and finance teams to provide data-driven recommendations.

... data sources, manage refreshes, and publish/share content with appropriate access controls. • Strong Excel skills - clean, organize, and maintain tables to support analysis. • A passion for ...

Dillon Product Manager

AL · Remote

$80K - $121K/yr

The Dillon Product Manager is responsible for providing support and driving development of the ... Perform product testing, gathering of relevant experimental data, and data analysis in support of ...

Data, Analytics & AI Engineer

Birmingham, AL

$107K - $128K/yr

Data, Analytics & AI Engineer Help Build the Future of Data, Analytics & AI Are you passionate ... Develop and manage curated data models in Azure SQL while helping migrate to Microsoft Fabric ...

Product Manager

Birmingham, AL · On-site

$12K - $13K/yr

Your role involves deep market analysis and customer insights to identify opportunities and guide product lifecycle management from ideation through launch and beyond. You will collaborate closely ...

Product Manager

Birmingham, AL · On-site

$12K - $13K/yr

About the Role: As a Product Manager, you will be the driving force behind the successful ... Your role involves deep market analysis and competitive research to position products effectively ...

About Product Management Roles at Danaher Are you excited by the challenge of shaping innovative ... Strong analytical and problem-solving skills with the ability to interpret complex data

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Product Manager Data Analytics information

What are the key skills and qualifications needed to thrive as a product manager data analytics, and why are they important?

To thrive as a Product Manager in Data Analytics, you need a strong background in data analysis, product lifecycle management, and business strategy, often supported by a degree in business, computer science, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), SQL, and experience with analytics platforms are typically required, and certifications such as Certified Scrum Product Owner (CSPO) can be advantageous. Exceptional communication, problem-solving, and stakeholder management skills help you bridge technical teams and business objectives. These abilities are crucial for delivering data-driven products that meet user needs and provide measurable business value.

How does a product manager data analytics typically collaborate with data scientists and engineers on a project?

As a Product Manager in Data Analytics, you serve as the bridge between business stakeholders and technical teams. You'll work closely with data scientists to define project objectives, ensure that analytical models align with business needs, and prioritize features based on user impact. Collaboration with data engineers is essential for understanding data infrastructure requirements and ensuring reliable data pipelines. Regular communication, sprint planning, and joint problem-solving sessions are core to fostering alignment and delivering successful analytics solutions.

What is the difference between Product Manager Data Analytics vs Data Analyst?

AspectProduct Manager Data AnalyticsData Analyst
Primary FocusOverseeing data-driven product strategies and roadmapsAnalyzing data to generate reports and insights
Skills & CertificationsProduct management, data analytics, SQL, communicationData analysis, SQL, Excel, visualization tools
Work EnvironmentCross-functional teams, product development cyclesData teams, business units, reporting environments
Industry UsageTech, e-commerce, SaaS companiesFinance, marketing, healthcare, tech

Product Manager Data Analytics focuses on guiding product strategies using data insights, while Data Analysts primarily analyze data to produce reports. Both roles require analytical skills and familiarity with data tools, but their responsibilities and scope differ significantly.

What is a product manager data analytics?

A Product Manager Data Analytics is a professional responsible for overseeing the development, strategy, and success of data analytics products or features within an organization. They work at the intersection of business, technology, and data, collaborating with data scientists, engineers, and stakeholders to define product vision, prioritize features, and ensure analytics solutions meet user and business needs. Their role involves understanding market trends, user requirements, and translating complex data insights into actionable product enhancements. Ultimately, they drive the product lifecycle to deliver value through data-driven decision making.
What are popular job titles related to Product Manager Data Analytics jobs in Alabama? For Product Manager Data Analytics jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Product Manager Data Analytics jobs in Alabama look for? The top searched job categories for Product Manager Data Analytics jobs in Alabama are:
What cities in Alabama are hiring for Product Manager Data Analytics jobs? Cities in Alabama with the most Product Manager Data Analytics job openings:
Infographic showing various Product Manager Data Analytics job openings in Alabama as of July 2026, with employment types broken down into 92% Full Time, 6% Part Time, and 2% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.

Senior Manager, Data Analytics

Holley Performance

Opelika, AL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 28 days ago


Job description

About Holley Performance Brands 

Holley Performance Brands is the powerhouse behind some of the most iconic names in automotive performance. For over a century, we’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, we’re driven by a shared love for speed, power, and pushing what’s possible — and we’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 Holley’s 360° digital retail experience. We help customers connect with the right products across Holley’s brands, stores, distributors, and partners. Our goal is simple — 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 — 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 — longer purchase cycles, multi-touch customer journeys, high-consideration buying behavior, and the complexity of managing performance across distinct product lines or regional divisions — 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 Holley’s digital transformation and revenue growth.

Key Responsibilities

  • Analytics Strategy & RoadmapDefine and own the analytics strategy for all DTC channels — including owned digital (website, configurator, online sales), paid media, CRM, and retail or field touchpoints — 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 — digital marketing, paid search and social,emailand CRM, organic, and direct sales — 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 10–20 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 — from awareness and traffic through to configurator engagement, lead submission, and closed sales —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 — weekly performance snapshots, monthly deep dives, and quarterly strategic reviews — 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.

Qualifications

Education: Bachelor’s degree in business, Marketing, Information Technology, Psychology, or a related field. 

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 Holley’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, we’re more than a performance parts company—we’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.