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Data Analytics Jobs in Dothan, AL (NOW HIRING)

Analytics Engineer

Dothan, AL · On-site

$85K - $120K/yr

Data and Analytics Classification: Exempt/Grade 13 REPORTING RELATIONSHIPS Position Reports To: CDO - Chief Data Officer Positions Supervised: None All team members work toward a common purpose ...

Analytics Engineer

Dothan, AL · On-site

$85K - $120K/yr

Data and Analytics Classification: Exempt/Grade 13 REPORTING RELATIONSHIPS Position Reports To: CDO - Chief Data Officer Positions Supervised: None All team members work toward a common purpose ...

Auditor

Dothan, AL · On-site

$55K - $95K/yr

Familiarity with accounting software, spreadsheet analysis, data analytics tools, and other audit platforms * Detail and deadline-oriented * Strong analytical and problem solving skills * High degree ...

Auditor

Dothan, AL · On-site

$55K - $95K/yr

Familiarity with accounting software, spreadsheet analysis, data analytics tools, and other audit platforms * Detail and deadline-oriented * Strong analytical and problem solving skills * High degree ...

iQuasar is seeking to fill in a Data Scientist in Reston, VA . At iQuasar we strive to provide the next generation of cutting-edge technologies. Our growth means exciting career opportunities for ...

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Data Analytics information

See Dothan, AL salary details

$22

$49

$85

How much do data analytics jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for data analytics in Dothan, AL is $49.77, according to ZipRecruiter salary data. Most workers in this role earn between $40.00 and $56.39 per hour, depending on experience, location, and employer.

What is data analytics?

Data analytics is the process of examining raw data to uncover trends, patterns, and insights that can inform decision-making. Professionals in this field use statistical techniques, programming, and data visualization tools to interpret complex data sets. Data analytics is applied in various industries, including business, healthcare, finance, and technology, to optimize operations, improve customer experiences, and drive strategic initiatives. The field often requires knowledge of tools like Excel, SQL, Python, and specialized analytics platforms.

How does a data analytics professional typically collaborate with other departments within an organization?

Data Analytics professionals frequently work alongside teams such as marketing, finance, operations, and product development to identify trends, solve business problems, and inform strategic decisions. Collaboration often involves gathering data requirements, interpreting findings, and presenting actionable insights in a clear and accessible manner. Effective communication and the ability to translate technical data into business terms are essential for ensuring recommendations are implemented and drive measurable impact. Regular cross-functional meetings and project-based teamwork are common, offering opportunities to learn from other disciplines and broaden one's organizational influence.

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

To thrive as a Data Analytics professional, you need strong quantitative analysis skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Experience with technical tools like SQL, Python or R, data visualization platforms (e.g., Tableau, Power BI), and sometimes certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate are highly valuable. Critical thinking, problem-solving, and effective communication are essential soft skills for interpreting data and presenting findings to stakeholders. These skills and qualities are crucial for transforming raw data into actionable insights that drive business decision-making.

What is the difference between Data Analytics vs Data Analyst?

AspectData AnalyticsData Analyst
Role FocusAnalyzing large datasets to identify trends and insightsInterpreting data, creating reports, and supporting decision-making
Skills & CertificationsStatistical skills, data visualization, tools like SQL, Python, RData visualization, Excel, SQL, basic statistical knowledge
Work EnvironmentOften in data teams, tech companies, or consulting firmsBusiness units, marketing, finance, or operations teams
Common UsageRefers to the field or disciplineRefers to the job role or position

While both roles involve working with data, Data Analytics typically refers to the broader field or discipline focused on analyzing data to extract insights. A Data Analyst is a specific job role within that field, responsible for interpreting data, creating reports, and supporting business decisions.

Is a data analyst still a good career?

Data analysts remain in high demand across industries due to the increasing reliance on data-driven decision making. Strong skills in tools like Excel, SQL, and visualization software, along with certifications, can enhance job prospects and career growth in this field.

What jobs can a data analyst do?

A data analyst can work in roles such as business analyst, data scientist, data engineer, or reporting specialist. They analyze data to help organizations make informed decisions, often using tools like Excel, SQL, and visualization software, and may require knowledge of statistical methods and programming languages like Python or R.

What kind of jobs can you get with data analytics?

Data analytics skills can lead to roles such as data analyst, business analyst, data scientist, and data engineer. These jobs involve analyzing data to support decision-making, often requiring proficiency in tools like Excel, SQL, and Python, and may require relevant certifications or a strong understanding of statistical methods.

What job categories do people searching Data Analytics jobs in Dothan, AL look for?

The top searched job categories for Data Analytics jobs in Dothan, AL are:

What cities near Dothan, AL are hiring for Data Analytics jobs?

Cities near Dothan, AL with the most Data Analytics job openings:

Infographic showing various Data Analytics job openings in Dothan, AL as of September 2026, with employment types broken down into 80% Full Time, 18% Part Time, and 2% Contract. Highlights an 90% In-person, 4% Hybrid, and 6% Remote job distribution, with an average salary of $103,520 per year, or $49.8 per hour.

Scientific Data Analyst 3

Fort Novosel, AL • On-site

Chenega Services & Federal Solutions
IT Services • 5 - 10K employees

Full-time

Re-posted 17 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