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Senior Manager Data Analytics Jobs in Alabama (NOW HIRING)

Sr. Program Manager, EPC

Birmingham, AL · Hybrid

$108K - $109K/yr

Master's degree (MBA, Data Analytics, Construction Management) and professional certification (PMP ... KEYWORDS: senior program manager, program manager, program management, portfolio, P&L, margin ...

Sr. Program Manager, EPC

Birmingham, AL · Hybrid

$108K - $109K/yr

Master's degree (MBA, Data Analytics, Construction Management) and professional certification (PMP ... KEYWORDS: senior program manager, program manager, program management, portfolio, P&L, margin ...

Sr. Program Manager, EPC

Birmingham, AL · Hybrid

$108K - $109K/yr

Master's degree (MBA, Data Analytics, Construction Management) and professional certification (PMP ... KEYWORDS: senior program manager, program manager, program management, portfolio, P&L, margin ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

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 ...

Senior Provider Data Analyst

Birmingham, AL

$80K - $101K/yr

The Senior Provider Data Analyst is responsible for supporting and developing VIVA HEALTH ... Experience in managed care or health plan analytics, particularly value-based care, provider ...

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Showing results 1-20

Senior Manager Data Analytics information

See Alabama salary details

$34.9K

$99.8K

$160.1K

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

As of Aug 5, 2026, the average yearly pay for senior manager data analytics in Alabama is $99,781.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,000.00 and $114,200.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Manager Data Analytics, you need advanced expertise in data analysis, statistical modeling, and business intelligence, typically supported by a degree in a quantitative field and several years of analytics experience. Proficiency with analytics tools such as SQL, Python, R, and platforms like Tableau or Power BI, as well as experience with data warehousing systems, is essential. Strong leadership, strategic thinking, and communication skills enable you to guide teams and translate complex findings into actionable business insights. These competencies are crucial for driving data-informed decision-making and maximizing organizational value from analytics initiatives.

What does a senior manager data analytics do?

A Senior Manager Data Analytics leads teams that analyze large sets of data to help organizations make informed business decisions. They develop analytics strategies, oversee data projects, and ensure the quality and integrity of data-driven insights. This role often involves collaborating with other departments, mentoring analysts, and presenting key findings to senior leadership. Senior Managers in this field need strong technical skills, leadership abilities, and business acumen to drive impactful results.

How does a senior manager data analytics typically collaborate with cross-functional teams within an organization?

Senior Managers of Data Analytics frequently work alongside cross-functional teams such as IT, product development, marketing, and finance to ensure that data-driven insights align with business objectives. They are responsible for translating complex analytical findings into actionable recommendations and communicating these insights clearly to both technical and non-technical stakeholders. Regular collaboration often involves leading meetings, setting project priorities, and ensuring data initiatives are integrated smoothly with ongoing business strategies. This collaborative environment fosters innovation and helps drive organizational growth.

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

AspectSenior Manager Data AnalyticsData Analyst
Required CredentialsBachelor's/Master's in Data Science, Analytics, or related field; extensive experienceBachelor's degree in related field; entry to mid-level experience
Work EnvironmentLeadership roles, strategic planning, team managementData collection, analysis, reporting
Employer & Industry UsageCorporate, finance, healthcare, tech companiesVarious industries, including marketing, finance, tech
Common Search & ComparisonOften compared for leadership and strategic rolesCompared for technical and analytical skills

The main difference between Senior Manager Data Analytics and Data Analyst lies in their responsibilities and experience level. Senior Managers focus on strategic oversight, team leadership, and decision-making, while Data Analysts handle data collection, analysis, and reporting at a more technical level. Senior Managers typically have more experience and credentials, working in leadership roles within organizations across various industries.

What are popular job titles related to Senior Manager Data Analytics jobs in Alabama? For Senior Manager Data Analytics jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Senior Manager Data Analytics jobs in Alabama look for? The top searched job categories for Senior Manager Data Analytics jobs in Alabama are:
What cities in Alabama are hiring for Senior Manager Data Analytics jobs? Cities in Alabama with the most Senior Manager Data Analytics job openings:

Senior Manager, Data Analytics

Holley Performance

Opelika, AL • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 2 hours 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.