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Data Visualization Manager Jobs in Alabama (NOW HIRING)

Data Science Tutor

Huntsville, AL · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

Data Science Tutor

Tuscaloosa, AL · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

... visualization platforms like Power BI. The Data Analyst will also be responsible for ensuring data integrity and security, adhering to best practices in data management, and staying updated with the ...

Data Science Tutor

Montgomery, AL · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

... visualization platforms like Power BI. The Data Analyst will also be responsible for ensuring data integrity and security, adhering to best practices in data management, and staying updated with the ...

Data Science Tutor

Birmingham, AL · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization ... product management, marketing analytics, and healthcare informatics. * Curriculum Awareness ...

... visualization platforms like Power BI. The Data Analyst will also be responsible for ensuring data integrity and security, adhering to best practices in data management, and staying updated with the ...

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Showing results 1-20

Data Visualization Manager information

See Alabama salary details

$48.9K

$99.2K

$146.4K

How much do data visualization manager jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data visualization manager in Alabama is $99,205.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,600.00 and $111,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Data Visualization Manager, and why are they important?

To thrive as a Data Visualization Manager, you need a strong foundation in data analysis, visualization techniques, and statistical knowledge, typically supported by a degree in data science, computer science, or a related field. Expertise in tools such as Tableau, Power BI, and programming languages like Python or R, as well as familiarity with data management systems, is highly valued. Exceptional communication, leadership, and problem-solving skills help bridge the gap between technical teams and business stakeholders. These abilities are crucial for transforming complex data into actionable insights that drive strategic decision-making.

What are some common challenges Data Visualization Managers face when leading cross-functional projects?

Data Visualization Managers often navigate the challenge of aligning diverse teams, such as data analysts, designers, and business stakeholders, to ensure visualizations meet technical accuracy and business needs. Balancing the complexity of large datasets with the need for clear, actionable visuals can be demanding, especially when stakeholders have varying levels of data literacy. Effective communication, prioritizing user experience, and iterative feedback are crucial for overcoming these hurdles and delivering impactful visual solutions.

What does a Data Visualization Manager do?

A Data Visualization Manager leads teams in designing and implementing visual representations of data to help organizations make informed decisions. They collaborate with data analysts, business stakeholders, and IT professionals to translate complex data sets into clear, actionable insights through dashboards, charts, and interactive reports. Their role also involves ensuring data accuracy, selecting appropriate visualization tools, and maintaining best practices in data storytelling. Additionally, they often provide guidance and training to team members on effective visualization techniques.

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

AspectData Visualization ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; experience in data visualization toolsBachelor's in Statistics, Mathematics, or related field; proficiency in data analysis and visualization tools
Work EnvironmentLeads visualization teams, collaborates with stakeholders, manages projectsAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageUsed across tech, finance, marketing, and consulting firmsCommon in finance, healthcare, marketing, and research organizations

The Data Visualization Manager focuses on leading teams and overseeing visualization projects, while the Data Analyst primarily analyzes data and creates visual reports. Both roles require strong skills in data tools, but the manager role emphasizes leadership and project management, whereas the analyst role centers on data interpretation and reporting.

What are the most commonly searched types of Data Visualization jobs in Alabama? The most popular types of Data Visualization jobs in Alabama are:
What are popular job titles related to Data Visualization Manager jobs in Alabama? For Data Visualization Manager jobs in Alabama, the most frequently searched job titles are:
What job categories do people searching Data Visualization Manager jobs in Alabama look for? The top searched job categories for Data Visualization Manager jobs in Alabama are:
What cities in Alabama are hiring for Data Visualization Manager jobs? Cities in Alabama with the most Data Visualization Manager job openings:
Infographic showing various Data Visualization Manager job openings in Alabama as of July 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $99,205 per year, or $47.7 per hour.

Human Resources Data Analyst

Books A Million Holding Company

Birmingham, AL • On-site, Remote

Full-time

Posted 6 days ago


Job description

Job Description: HR Data Analyst
Job Title: HR Data Analyst
Location: Birmingham, AL (This role can be performed remotely, with strong preference given to local Birmingham area candidates or those residing within a 2 to 3 hour drive from our home office.)
Position Type: Full-time
About Books-A-Million:
As one of the nation's leading book retailers, headquartered in Birmingham, Alabama, Books-A-Million is investing in data and analytics to drive smarter, faster decisions across the business. Our Human Resources team is building a single, trusted source of workforce intelligence, anchored in our Infor HRIS, to give leaders clear visibility into talent, retention, and organizational health. We are seeking a talented and detail-oriented HR Data Analyst to join our People & Analytics team and help turn HR data into reliable, actionable insight.
Job Summary:
The HR Data Analyst is responsible for transforming HR and workforce data into accurate, consistent, and decision-ready reporting. You will build and maintain dashboards, define standardized metric calculations, and partner with HR leaders to answer critical questions about turnover, talent acquisition, internal mobility, compensation, and benefits. This role reports to the SVP of Data & Analytics and supports a regular cadence of weekly, monthly, quarterly, and annual workforce reporting. The ideal candidate combines strong SQL skills, hands-on dashboard development in Power BI or Tableau, and a genuine commitment to clean, trustworthy data.
Key Responsibilities:
• Build, maintain, and continually improve HR dashboards and reports, segmented by location, role, and manager, using a modern data visualization tool such as Power BI or Tableau.
• Extract, transform, and analyze workforce data, ensuring it serves as a clean, reliable single source of truth for all downstream HR reporting.
• Develop and document standardized definitions and formulas for key HR metrics such as time-to-fill, turnover, internal mobility, and compa-ratio, so reporting is consistent and comparable across teams.
• Produce turnover and retention analytics, including voluntary vs. involuntary separations, tenure at exit, and regrettable-loss tracking, and support predictive flight-risk and workforce-forecasting models.
• Deliver talent acquisition reporting such as pipeline status, applications, source of hire, offer acceptance, cost per hire, quality of hire, and time-to-fill, to support recruiting and open requisitions.
• Track promotion and internal mobility rates, succession-pipeline health, and learning and training participation to inform strategic workforce planning.
• Report on compensation and benefits metrics, such as benefits enrollment and participation, and (in future phases) compa-ratio, salary-band, and pay-equity analysis.
• Support quarterly data-accuracy audits and compliance reporting, partnering with HR Operations and IT to identify and resolve data-quality issues at the source.
• Prepare recurring deliverables on a defined cadence, including the weekly Staff Book, monthly workforce snapshots, quarterly data audits, and the annual strategic workforce review.
• Consolidate reporting from multiple systems (for example, HRIS and connected learning, benefits, and case-management platforms) into one reliable, consistent view for HR leadership.
• Champion a data-driven culture within HR by delivering clear visualizations, thorough documentation, and hands-on support to non-technical stakeholders.
Qualifications:
• Bachelor's degree in a quantitative or related field such as Data Analytics, Statistics, Information Systems, Human Resources, Business, or Economics, or equivalent practical experience.
• Proven experience as an HR Data Analyst, People Analytics Analyst, Business Intelligence Analyst, or in a similar data and reporting role.
• High proficiency in SQL for data extraction, transformation, and analysis (required).
• Hands-on experience building dashboards and reports in a major data visualization tool such as Power BI or Tableau (required).
• Experience working with an enterprise HRIS
• Strong command of MS Excel for ad-hoc analysis and data validation.
• Solid understanding of core HR metrics and concepts such as turnover, time-to-fill, compa-ratio, headcount, and internal mobility is strongly preferred.
• Experience with Python or other scripting languages for data preparation is a plus.
• Strong analytical and problem-solving skills, with the ability to translate complex data into clear, accurate, and actionable insights.
• Meticulous attention to data quality and a commitment to consistent, well-documented metric definitions.
• Excellent communication and interpersonal skills, with the ability to collaborate with both technical and non-technical stakeholders, and to handle sensitive HR data with discretion and confidentiality.
• A proactive and adaptable mindset, with a willingness to take on new challenges and responsibilities in a fast-paced environment.
• Experience in the retail industry is a strong plus.