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Data Analyst Jobs in Dothan, AL (NOW HIRING)

Data Analyst information

See Dothan, AL salary details

$30.9K

$75.1K

$123.6K

How much do data analyst jobs pay per year?

As of Jul 16, 2026, the average yearly pay for data analyst in Dothan, AL is $75,127.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,800.00 and $88,200.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

What are some common challenges Data Analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

Is 40 too late for data science?

A Data Analyst role is accessible at any age, including 40, as skills in data analysis, programming, and tools like Excel, SQL, and Python are more important than age. Many professionals successfully transition into data science or analytics later in their careers by gaining relevant certifications and experience.

Will AI replace a data analyst?

AI tools can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication that AI cannot fully replicate. Therefore, AI is more likely to augment rather than replace data analysts.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What Does a Data Analyst Job Do?

Data Analysts use a range of methods to chart, examine, and analyze data for their clients. As a Data Analyst, your job is to analyze a company’s data using a combination of mathematical inspection, transformation, and modeling techniques to simplify and condense it. You may also need to present your reports to stakeholders. Because companies often use the results of the data analysis to make business decisions, Data Analysts need to confirm the accuracy of the data.

What does a Data Analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, often requiring strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience in data visualization and reporting tend to have better chances of obtaining such roles.

What job does a data analyst do?

A data analyst collects, processes, and analyzes data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software to identify trends, create reports, and support strategic planning. Strong analytical skills and attention to detail are essential for this role.
What are the most commonly searched types of Data Analyst jobs in Dothan, AL? The most popular types of Data Analyst jobs in Dothan, AL are:
What job categories do people searching Data Analyst jobs in Dothan, AL look for? The top searched job categories for Data Analyst jobs in Dothan, AL are:
What cities near Dothan, AL are hiring for Data Analyst jobs? Cities near Dothan, AL with the most Data Analyst job openings:
Scientific Data Analyst 4 - Injury Epidemiology

Scientific Data Analyst 4 - Injury Epidemiology

Chenega Corporation

Fort Novosel, AL • On-site

Full-time

Posted 4 days ago

New


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 4 - Injury Epidemiology 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., safety, 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 safety, engineering, and medical databases).
  • Perform quality assessments and corrections through data cleaning and mining to ensure traceable and useable data for analysis purposes.
  • Create relevant or use established military or industry (medical, treatment, hospitalization, safety, crash) standard data coding, such as Barell injury matrix, Abbreviated Injury Score (AIS), ICD-9, or ICD-10.
  • Provide scientific analytical services related to data analysis, data scientific 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.)
  • Assess RFIs and RDT&E questions for analysis questions and determine analysis plan.
  • Perform analysis on large medical injury, mishap/accident/incident/safety investigations, and research data by writing and/or developing algorithms and processing data through COTS and/or custom analysis software.
  • Develop and direct the use of Best Practices for 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 timelines, approval processes, regulations, guidance, and procedures.
  • Provide scientific analytical services by applying the principles of statistics, numerical methods, research, injury analysis, and programming. Such application will require individual research, synthesis of research and mathematical literature, programming in relevant software, modification and use of previously created scripts, creation of batch jobs, data quality assessments, and handling large 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, safety professionals, and other biomedical researchers.
  • Provide services related to the Injury Biomechanics RDT&E efforts, including the development of draft analysis plans and protocol documentation from literature and data reviews along with the collection and preparation of data for analysis and synthesis according to policy and procedures of the USAARL. All aspects of RDT&E are included, such as Human Subject Research, Research Not Involving Human Subjects (RNIHS), cadaveric studies, and Test and Evaluations.
  • Work under the guidance of the Principal Investigator, Team Chief, or Group Leadership, using knowledge and training to plan and accomplish research tasks and goals.
  • Work within a research team with junior data analysts to accomplish RDT&E objectives, but work independently with minimal direction to solve analytic and technical problems.
  • The contractor shall advise the Principal Investigator, Team Chief, or Group Leadership on study design and data collection required for expected analyses to meet project goals and deadlines.
  • Provide services related to the preparation of draft reports, presentations, and other documentation on progress and findings, which will be distributed, presented, and/or discussed within the laboratory and/or at forums outside the laboratory.
  • Develop, write, or review statistical section of protocols, preparing analysis plans, and writing detailed specifications for analysis files, consistency checks, tables, and figures.
  • Conduct and interpret analyses and write study reports, papers, and presentations.
  • Perform other data-related and research equipment/facilities support functions, including physical packing, digitizing, moving, shipping, inventory, relocation, and re-organization, as needed.
  • Collaborate closely with stakeholders, academia, industry, and customers on biomechanical/biomedical projects, products, and knowledge solutions.
  • Conduct injury biomechanics research with equipment and in field settings that may create potentially hazardous conditions.
  • On written authority of the Laboratory Commander, fly on military aircraft or ride in military vehicles in the official conduct of duties of the position.
  • May travel CONUS or O-CONUS to conduct RDT&E (data collections), attend working groups meetings, training, workshops, conferences, or other relevant meetings. Expect multiple meetings or conferences per year.
  • Must be able to obtain and maintain a state-issued driver's license for independent travel to restricted meetings and field-data collection locations.
  • Other duties as assigned.

Qualifications
  • Bachelor's degree or higher in a relevant STEM (Science, Technology, Engineering, and Mathematics) field from an accredited institution.
  • Must have knowledge of commonly used and advanced concepts, practices, standards, and procedures within injury epidemiology and statistics.
  • Must have experience with accepted industry best practices and software for statistical analysis, such as SPSS and SAS.
  • Ability to obtain and maintain a Secret security clearance.
  • Must be able to obtain and maintain a state-issued driver's license.
  • May work variable work hours to meet performance requirements, including occasional evenings and weekends.
  • Successfully pass background and drug screening

Preferred Qualifications:
  • Demonstrated expertise in injury epidemiology and statistics through relevant publications.
  • Experience working with large medical injury, mishap, accident, incident, safety investigation, or research datasets.
  • Experience developing algorithms and processing data through commercial off-the-shelf (COTS) and/or custom analytical software.
  • Experience with military, medical, treatment, hospitalization, safety, or crash databases.
  • Experience creating and applying standard injury coding methodologies, including Barell Injury Matrix, Abbreviated Injury Scale (AIS), ICD-9, and ICD-10.
  • Experience supporting Research, Development, Test & Evaluation (RDT&E) efforts, including Human Subject Research, Research Not Involving Human Subjects (RNIHS), cadaveric studies, and Test & Evaluation activities.
  • Experience developing statistical analysis plans, research protocols, technical reports, presentations, and scientific publications.
  • Experience working within multidisciplinary teams consisting of engineers, physicians, computer scientists, database developers, safety professionals, and biomedical researchers.
  • Experience supporting military research organizations or Department of Defense environments.
  • Experience collaborating with stakeholders from government, industry, and academia.

Knowledge, Skills and Abilities:
  • Use strong communication skills and professionalism at all times.
  • Ability to work independently as a credentialed Associate Investigator, and rely on extensive knowledge, experience, and judgment to plan and accomplish goals.
  • Excellent oral and written communication skills