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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.

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 ...

Data Manager (5441)

Huntsville, AL · On-site

$65K - $80K/yr

... management and data ... analytics. The ideal candidate possesses a strong foundational knowledge of data governance ...

Minimum of three (3) years of experience performing analytics in a supply chain, logistics ... Develop analytical models supporting areas such as inventory management, demand forecasting ...

Minimum of three (3) years of experience performing analytics in a supply chain, logistics ... Develop analytical models supporting areas such as inventory management, demand forecasting ...

Senior Data Analyst

Huntsville, AL · On-site

$99K - $138K/yr

Minimum of three (3) years of experience performing analytics in a supply chain, logistics ... Desired Qualifications • Master's degree in supply chain management, Logistics, Business ...

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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 30, 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.

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.

Is data analytics a high paying job?

Data analytics is generally considered a well-paying field, especially for managers of data analytics who often earn above-average salaries due to their expertise in statistical tools, programming languages, and data visualization. Compensation varies based on experience, industry, and location, but advanced roles typically offer competitive pay and opportunities for bonuses or incentives.

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:

Data Analytics Analyst I

Birmingham, AL • On-site

Contractor

Re-posted 4 days ago


Job description

Position: Data Analytics Analyst I

Location: Birmingham, AL
Contract : 3 Years
Client: Alabama Power
 

Position Overview

We are seeking a motivated Data Analytics Analyst I with 1–3 years of experience to support data analysis, reporting, data integration, and business intelligence initiatives.

The ideal candidate will have hands-on experience using tools such as Python, R, SQL, Tableau, Matplotlib, and Seaborn to analyze data, create visual reports, and deliver meaningful business insights. This role is well-suited for someone with strong analytical skills, attention to detail, and a desire to grow in data analytics, reporting, ETL, and predictive modeling.

Key Responsibilities

  • Collect, clean, analyze, and interpret data from multiple sources.
  • Use Python, R, SQL, and visualization tools to identify trends, patterns, and insights.
  • Build reports, dashboards, charts, and visual presentations for business users.
  • Support data extraction, transformation, and loading processes.
  • Work with databases and structured datasets to prepare data for analysis.
  • Perform statistical analysis and hypothesis testing to support business decisions.
  • Assist with predictive modeling and basic machine learning techniques.
  • Validate data accuracy and ensure reporting consistency.
  • Collaborate with business, technical, and operational teams to understand data needs.
  • Document data processes, reporting logic, and analysis results.

Required Qualifications

  • 1–3 years of experience in data analytics, reporting, business intelligence, or a related role.
  • Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, or a related field.
  • Proficiency with SQL for querying and analyzing data.
  • Experience with Python or R for data analysis.
  • Familiarity with data visualization tools such as Tableau, Power BI, Matplotlib, or Seaborn.
  • Basic understanding of ETL processes and database concepts.
  • Strong analytical, problem-solving, and critical-thinking skills.
  • Strong attention to detail and ability to work with large datasets.
  • Good written and verbal communication skills.

Preferred Qualifications

  • Experience with machine learning or predictive analytics.
  • Familiarity with statistical analysis and hypothesis testing.
  • Experience working with multiple data sources and databases.
  • Knowledge of data cleaning, data validation, and data quality practices.
  • Exposure to business intelligence or dashboard development.

Key Skills

  • Data analysis and reporting
  • SQL querying
  • Python or R
  • Tableau / Power BI
  • Matplotlib / Seaborn
  • ETL and data integration
  • Statistical analysis
  • Predictive modeling
  • Data visualization
  • Data validation and documentation