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Data Analytics Manager Jobs in Alabama (NOW HIRING)

Urology Centers of Alabama

Data Analyst

Homewood, AL · On-site

... Management) o Veradigm (EHR) o ARIA Oncology Information System (Radiation Oncology) · Develop and maintain data pipelines and standardized datasets for reporting and analytics · Ensure data ...

Workiva

$22/hr

Analyze data to drive decision-making on new features of Wdesk * Suggest new product development ... Exceptional organizational skills with the ability to multi-task and manage multiple processes ...

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All JobsData Analytics JobsData Analytics Manager JobsData Analytics Manager Jobs in Alabama

Data Analytics Manager information

See Alabama salary details

$28.1K

$88.1K

$155.9K

How much do data analytics manager jobs pay per year?

As of Sep 14, 2026, the average yearly pay for data analytics manager 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 data analytics manager do?

A Data Analytics Manager oversees data analysis operations and leads a team of analysts to extract actionable insights from data. They are responsible for managing data-driven projects, ensuring data integrity, and presenting findings to help guide business decisions. Their role often involves collaborating with various departments, setting analytic strategies, and ensuring that the team uses the most effective tools and methodologies. Additionally, they may handle hiring, training, and performance reviews of analytics staff.

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

To thrive as a Data Analytics Manager, you need strong analytical skills, expertise in statistical methods, and a background in data science or a related field, often supported by a bachelor's or master's degree. Proficiency with data visualization tools (such as Tableau or Power BI), SQL, and analytics platforms like Python or R is typically required, along with experience in managing data projects. Leadership, strategic thinking, and effective communication are important soft skills for leading teams and translating data insights into actionable business strategies. These skills ensure that analytical initiatives drive business value and support informed decision-making across the organization.

How do data analytics managers typically collaborate with stakeholders from non-technical departments?

Data Analytics Managers often act as a bridge between technical data teams and non-technical stakeholders, such as marketing, finance, or operations. They translate complex data insights into actionable recommendations and ensure that analyses align with business objectives. Regular communication, tailored presentations, and workshops are common practices to ensure all stakeholders understand the value and limitations of analytical findings. This collaborative approach helps drive data-driven decision-making across the organization.

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

AspectData Analytics ManagerData Analyst
ResponsibilitiesOversees analytics projects, manages teams, develops strategiesPerforms data collection, cleaning, and analysis to generate reports
Required SkillsLeadership, project management, advanced analyticsData manipulation, statistical analysis, visualization
QualificationsBachelor's or Master's in Data Science, Analytics, or related fields; certifications like CAP or Microsoft Certified Data AnalystBachelor's in Statistics, Mathematics, or related fields; certifications like Microsoft Certified Data Analyst
Work EnvironmentCorporate offices, analytics teams, cross-department collaborationData teams, business units, often in office or remote settings

In summary, a Data Analytics Manager leads analytics teams and strategies, requiring leadership skills and advanced certifications, while a Data Analyst focuses on data processing and reporting, with more technical and analytical tasks. Both roles are essential in data-driven organizations and often work closely together.

What are the most commonly searched types of Data Analytics jobs in Alabama?

The most popular types of Data Analytics jobs in Alabama are:

What are popular job titles related to Data Analytics Manager jobs in Alabama?

For Data Analytics Manager jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Data Analytics Manager jobs in Alabama look for?

The top searched job categories for Data Analytics Manager jobs in Alabama are:

What cities in Alabama are hiring for Data Analytics Manager jobs?

Cities in Alabama with the most Data Analytics Manager job openings:

Data Analytics Manager jobs near you
Infographic showing various Data Analytics Manager job openings in Alabama as of August 2026, with employment types broken down into 89% Full Time, 9% Part Time, 1% Temporary, and 1% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $88,051 per year, or $42.3 per hour.

26-0001-004 | Senior Data Analyst -- Army Supply Chain Analytics (SCOS)

Huntsville, AL

Axyde Analytics
See more jobs at Axyde Analyticsexternal

$89K - $112K/yr

Full-time

Posted 17 days ago

Job description

SENIOR DATA ANALYST — ARMY SUPPLY CHAIN ANALYTICS (SCOS)
Location: Redstone Arsenal / Huntsville, Alabama (on site)
Employment: Full time; contingent upon contract award
Solicitation: W31P4Q-26-R-A002
Axyde Analytics is recruiting a Senior Data Analyst to lead data analytics and modeling for our proposed SCOS program. This key-personnel position will oversee descriptive, diagnostic, predictive, and prescriptive analytical products supporting Army aviation and missile-system supply chains.
KEY RESPONSIBILITIES
• Lead advanced data analytics, modeling, and visualization and mentor junior analysts.
• Collect, clean, integrate, and analyze structured and unstructured supply-chain data from authorized sources.
• Apply data mining, statistical analysis, trend analysis, causal analysis, machine learning, and quality-control methods.
• Analyze MRP adherence, forecast accuracy, supply availability, excess inventory, demand, receipts, issues, and other enterprise metrics.
• Produce traceable recommendations, reports, briefings, and monthly analytical products for operational leaders.
• Document sources, transformations, assumptions, exceptions, model limitations, validation, and peer review.
MINIMUM QUALIFICATIONS
• Bachelor’s degree in Data Science, Operations Research, Statistics, Analytics, or a related field.
• At least 7 years of analytics experience.
• At least 3 years of supply-chain analytics experience.
• Demonstrated skill in data mining, statistical modeling, machine learning, and Tableau or Power BI.
• Strong analytical writing, visualization, briefing, and team-leadership skills.
• Ability to work full time on site at Redstone Arsenal.
PREFERRED QUALIFICATIONS
• Army, AMCOM, aviation, missile, wholesale-supply, LMP, or operations-research experience.
• SQL, Python or R, Excel, and controlled model-development experience.
• Active Secret clearance.
SECURITY AND EMPLOYMENT CONDITIONS
All SCOS personnel must have or be eligible to obtain and maintain a Secret clearance for the duration of the contract. Before performing classified work or charging labor requiring classified access, personnel must satisfy applicable Government eligibility, access, investigation, training, and site-access requirements. U.S. citizenship is required where necessary for clearance eligibility. Employment is contingent upon contract award, completion of Axyde’s hiring process, and satisfaction of all Government security and access requirements. This posting is not a guarantee of employment or clearance sponsorship.
TO APPLY
Submit a current résumé addressing the stated qualifications, clearance status or eligibility, Redstone on-site availability, and earliest availability. Compensation will be competitive and commensurate with qualifications.
Axyde Analytics is an equal opportunity employer. Employment decisions are based on qualifications, merit, and business need without unlawful discrimination.