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Manager Of Data Analytics Jobs in Alabama (NOW HIRING)

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 ...

Five (5) years or more of Data Analytics experience on data management activities as well as Microsoft Office Suite, Power Apps, Power BI, SharePoint, Microsoft Access, and Adobe Acrobat.

Five (5) years or more of Data Analytics experience on data management activities as well as Microsoft Office Suite, Power Apps, Power BI, SharePoint, Microsoft Access, and Adobe Acrobat.

The Opportunity As part of the Data and Analytics team, you will lead the development and ... As a Manager, you will motivate and inspire your team, leveraging their unique strengths to deliver ...

... years of experience in data analysis, data mining, operations research, or related field, with a ... Experience in risk management, configuration management, and technical baseline management.

New

... of-the-box solutions to real problems. Qualifications : Required : • 3-5 Years Proficient in ... manage refreshes, and publish/share content with appropriate access controls. • Strong Excel ...

Reporting to the Senior Manager of Data Analytics, this mid-level role combines hands-on reporting and dashboard work with deeper marketing analytics responsibilities -- including experimentation ...

Manages the compilation, cataloging, caching, distribution, retrieval, and archiving of data. * Participates in ad-hoc data analysis projects and produces actionable requests, proposals, or events ...

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Manager Of Data Analytics information

See Alabama salary details

$28.1K

$88.1K

$155.9K

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

As of Aug 9, 2026, the average yearly pay for manager of data analytics in Alabama is $88,051.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,800.00 and $113,800.00 per year, depending on experience, location, and employer.

What does a manager of data analytics do?

A Manager of Data Analytics oversees a team responsible for collecting, analyzing, and interpreting large data sets to help organizations make informed business decisions. They develop data strategies, ensure data quality, and collaborate with other departments to identify opportunities for leveraging data-driven insights. Their role typically includes managing analytics projects, mentoring team members, and communicating findings to stakeholders in a clear and actionable manner.

What are the key skills and qualifications needed to thrive as a manager of data analytics?

To thrive as a Manager of Data Analytics, you need strong analytical abilities, expertise in data modeling, and a solid background in statistics or computer science, often supported by a bachelor's or master's degree. Familiarity with data visualization tools (like Tableau or Power BI), SQL, and analytics platforms such as Python or R, along with experience in project management systems, is typically required. Excellent leadership, communication, and problem-solving skills help you effectively manage teams and convey insights to stakeholders. These skills are crucial for transforming complex data into actionable strategies that drive business performance and innovation.

Is data analytics a high paying job?

Data analytics roles, including Manager of Data Analytics, tend to offer competitive salaries that are above average for many industries. Factors such as experience, certifications, and proficiency with tools like SQL and Python influence earning potential, which can increase with leadership responsibilities and advanced skills.

What are the typical challenges faced by a manager of data analytics when leading a diverse analytics team?

A Manager of Data Analytics often encounters challenges such as aligning team members with varying technical backgrounds, ensuring clear communication of complex data insights to non-technical stakeholders, and balancing multiple project priorities. Additionally, fostering a culture of continuous learning is essential due to the rapid evolution of analytics tools and methodologies. Successful managers address these challenges by promoting collaboration, setting clear expectations, and providing ongoing professional development opportunities.

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

AspectManager Of Data AnalyticsData Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often some management experienceBachelor's degree in related field; entry to mid-level role
Work EnvironmentLeads teams, manages projects, collaborates with senior managementAnalyzes data, prepares reports, supports decision-making
Employer & Industry UsageUsed across industries to oversee analytics teams and strategiesCommonly employed to perform data analysis tasks within organizations

The main difference is that the Manager Of Data Analytics oversees analytics teams and strategies, requiring leadership skills and management experience, while Data Analysts focus on analyzing data and generating reports. The manager role involves higher-level responsibilities and team coordination, whereas data analysts execute specific data tasks to support business decisions.

What are the most commonly searched types of Of Data Analytics jobs in Alabama? The most popular types of Of Data Analytics jobs in Alabama are:
What cities in Alabama are hiring for Manager Of Data Analytics jobs? Cities in Alabama with the most Manager Of Data Analytics job openings:

Senior Manager, Data Analytics

Holley Performance

Opelika, AL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 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.