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Data Manager Jobs in Enterprise, AL (NOW HIRING)

IQUASAR LLC

Senior Data Scientist

Fort Novosel, AL · Remote

Use version control tools to manage collaborative model development (e.g., GitHub). * Support end-to-end ML lifecycle from data wrangling and modeling to deployment and monitoring. Required ...

Healthactions P A

Patient Acquisition, Data Entry

Troy, AL · On-site

$13.75 - $17/hr

Tasks include, but are not limited to: 1. Stride EMR Management 2. Referral conversions to new ... copay collection 5. Patient data entry, chart setup and maintenance 6. Case management ...

Turenne & Associates

MDS COORDINATOR

Dothan, AL · On-site

$31.25 - $39.75/hr

Data Management and Reporting: Collect and analyze data related to MDS assessments, reimbursement, and resident outcomes. Generate reports and communicate findings to the management team ...

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All JobsData JobsData Manager JobsData Manager Jobs in Enterprise, AL

Data Manager information

See Enterprise, AL salary details

$24.6K

$77K

$136.3K

How much do data manager jobs pay per year?

As of Sep 7, 2026, the average yearly pay for data manager in Enterprise, AL is $76,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,300.00 and $99,500.00 per year, depending on experience, location, and employer.

How does a data manager typically collaborate with other departments to ensure data integrity?

As a Data Manager, collaboration with various departments—such as IT, analytics, and operations—is essential to maintain data integrity and consistency. You’ll regularly coordinate with these teams to establish data governance protocols, resolve discrepancies, and ensure that data collection and storage meet organizational standards. Open communication and regular meetings help address data quality issues and align data management practices across the organization. This cross-functional work not only supports accurate reporting but also drives better decision-making company-wide.

What are the key skills and qualifications needed to thrive as a data manager, and why are they important?

To thrive as a Data Manager, you need expertise in data management principles, database administration, and data governance, often supported by a bachelor's degree in computer science or a related field. Familiarity with SQL, data warehousing tools, data visualization platforms, and certifications like CDMP or DAMA are typically required. Strong analytical thinking, attention to detail, and effective communication are essential soft skills for ensuring data integrity and collaborating with stakeholders. These skills and qualifications are crucial for maintaining secure, accurate data systems and supporting informed business decisions.

What is the difference between Data Manager vs Data Analyst?

AspectData ManagerData Analyst
Required CredentialsBachelor's degree in IT, Computer Science, or related field; certifications like CDMP or DAMA often preferredBachelor's degree in Statistics, Mathematics, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically manages data systems, databases, and teams; works in IT or data departmentsAnalyzes data sets, creates reports, and visualizations; often works in business or analytics teams
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance and managementCommon in marketing, finance, and consulting for insights and decision-making

While both roles involve working with data, Data Managers focus on overseeing data systems and ensuring data quality, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

Are data managers in demand?

Data managers are in high demand across various industries due to the increasing reliance on data-driven decision making. They typically require strong skills in database management, data analysis, and familiarity with tools like SQL and data visualization software, making their role essential for organizations managing large data sets.

What is the role of a data manager?

A data manager is responsible for overseeing the collection, storage, organization, and maintenance of data within an organization. They ensure data quality, security, and accessibility, often using database management tools and following data governance standards. Their role supports data analysis and decision-making processes.
More about Data Manager jobs

What are the most commonly searched types of Data jobs in Enterprise, AL?

The most popular types of Data jobs in Enterprise, AL are:

What cities near Enterprise, AL are hiring for Data Manager jobs?

Cities near Enterprise, AL with the most Data Manager job openings:

Data Manager jobs near you
Infographic showing various Data Manager job openings in Enterprise, AL as of June 2026, with employment types broken down into 1% As Needed, 79% Full Time, 19% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $76,988 per year, or $37 per hour.

Scientific Data Analyst 3

Chenega Services & Federal Solutions

Fort Novosel, AL • On-site

Full-time

Re-posted 11 days ago

Job description

Overview
Come join a company that strives for Extraordinary People and Exceptional Performance! Chenega Services & Federal Solutions, LLC, a Chenega Professional Services' company, is looking for a Scientific Data Analyst 3 to support the Injury Biomechanics and Protection Group (IBP) of the U.S. Army Aeromedical Research Laboratory (USAARL) to provide the scientific, programmatic, and technical support to allow responsive, high quality, and timely mission accomplishment within a flexible and changing environment.
Our company offers employees the opportunity to join a team where there is a robust employee benefits program, management engagement, quality leadership, an atmosphere of teamwork, recognition for performance, and promotion opportunities. We actively strive to channel our highly engaged employee's knowledge, critical thinking, innovative solutions for our clients.
Responsibilities
  • Provide scientific analytical services related to data acquisition (e.g., instrumentation, high speed video, medical images, or engineering and medical databases), data management, and data analysis according to approved protocols, policies, and/or plans to ensure quality, accuracy, future use, and reproducibility of data/results.
  • Acquire, manage, and analyze data (obtained from instrumentation, high speed video, medical images, or engineering and medical databases).
  • Provide scientific analytical services related to data analysis, data scientific and engineering quality assessment, and data management according to approved protocols, policies, and/or plans to ensure quality, accuracy, future use, and reproducibility of data/results (e.g., by following scientific procedures, recording information, documenting research, and properly storing data.)
  • Perform analysis on large time series engineering/research data by writing and/or developing algorithms and processing data through COTS and/or custom analysis software.
  • Use, develop, and evaluate recommendations on Best Practices of data management, file structures, and relational databases.
  • Develop and update appropriate analysis documentation, and store documents and data in accordance with applicable regulations and procedures.
  • Ensure that plans and execution of analysis meets all applicable regulations, guidance, and procedures.
  • Provide scientific analytical services by applying the principles of statistics, numerical methods, signal processing, research, dynamics, kinematic motion analysis, and programming. Such application will require individual research, synthesis of research and mathematical literature, programming in MATLAB, modification and use of previously created MATLAB scripts, creation of batch jobs, data quality assessments, and handling large time series data sets. Additionally, documentation of analysis will be required within developed and modified scripts and codes along with scientific documentation such as papers, reports, and presentations.
  • Provide understanding of data use and analysis needs to a multi-disciplinary team including engineers, physicians, computer scientists, database developers, data entry clerks, data quality assessors, and other biomedical researchers.
  • Provide services related to the Injury Biomechanics RDT&E efforts, including the development of draft test plans and protocol documentation from literature reviews along with the collection and preparation of data for analysis and synthesis according to policy and procedures of the USAARL.
  • Work under the guidance of the Principal Investigator, Team Chief, and Group Leadership, using knowledge and training to plan and accomplish research tasks and goals.
  • Work within a research team with a small team of junior data analysts to accomplish RDT&E objectives, but work independently with minimal direction to solve analytic and technical problems.
  • Other duties as assigned.

Qualifications
  • May work variable work hours to meet performance requirements (e.g., proposal and reporting deadlines, collaborations, and lab and field data collections), including occasional night and weekend hours.
  • Must be able to obtain and maintain a state-issued driver's license for independent travel to restricted meetings and field-data collection locations.
  • Experience in numerical methods programming, data acquisition, and use of MATLAB, including MATLAB specialty toolboxes such as work with images, signals, and statistics.
  • Obtain and maintain Associate Investigator credentials.

Knowledge, Skills and Abilities:
  • Use strong communication skills and professionalism at all times.
  • Knowledge of commonly-used and advanced concepts, practices, standards, and procedures within mechanics, dynamics, and mathematics as demonstrated through a degree and coursework in a relevant STEM (Science, Technology, Engineering, and Mathematics) field from an accredited program and demonstrated through publications.
  • Excellent oral and written communication skills

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