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Data Analytics Jobs in Mobile, AL (NOW HIRING)

DATA ANALYST 4

Pascagoula, MS · On-site

$70 - $110/hr

Designs, develops, and implements methods, processes and systems to consolidate and analyze diverse data sets including structured and unstructured. * Develops software programs, algorithms ...

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Data Analytics & Business Intelligence * Develop SQL queries for reporting, business analysis, troubleshooting, and data validation. * Design and support enterprise reporting, dashboards, and ...

Reviews collected data to adjudicate any anomalies identified by the site lead/data analysis personnel. * Strong written and oral communication skills required, as well as ability to work well with ...

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Data Analytics information

See Mobile, AL salary details

$24

$54

$93

How much do data analytics jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for data analytics in Mobile, AL is $54.33, according to ZipRecruiter salary data. Most workers in this role earn between $43.65 and $61.54 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 are the most commonly searched types of Data Analytics jobs in Mobile, AL?

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

What are popular job titles related to Data Analytics jobs in Mobile, AL?

For Data Analytics jobs in Mobile, AL, the most frequently searched job titles are:

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

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

Infographic showing various Data Analytics job openings in Mobile, AL as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $112,999 per year, or $54.3 per hour.

DATA ANALYST 4

Pascagoula, MS • On-site

$70 - $110/hr

Other

Posted 11 days ago


Job description

Responsibilities
  • Designs, develops, and implements methods, processes and systems to consolidate and analyze diverse data sets including structured and unstructured.
  • Develops software programs, algorithms, dashboards, information tools, and queries to clean, model, integrate and evaluate datasets.
  • Keeps abreast of new analytic methodologies and technologies.
  • Collaborates with functional business units to drive business solutions and direction.
  • Develops, inspects, mines, transforms, and models data to raise productivity, improve decision making, and gain competitive advantage.
  • Conducts quantitative and qualitative analysis on data and information to ensure correct predictive forecasting and classification.
  • Manages all aspects of end-to-end data processing utilizing customized report building functions of systems.
  • Maintains analytical systems, verifies the accuracy of data, and acts as a liaison between divisions.
Requirements
  • High School diploma and 13 years of experience -or- Associates degree and 11 years of experience -or- Bachelors degree and 9 years of experience -or- Masters degree and 7 years of experience -or- PHD and 4 years of experience.
  • Familiarity with CMMC requirements and government/compliance frameworks.
  • Knowledge of cybersecurity best practices related to data protection and access control.
  • Experience with data governance, retention policies, and compliance-driven data management.
  • Understanding of DevOps, CI/CD, or infrastructure-as-code methodologies.
  • Scripting or development experience (e.g., PowerShell, Python, C#, or similar) related to AI.
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