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Data Jobs in Foley, AL (NOW HIRING)

Data Analyst Location: Pensacola, FL Type: Contract Work Model: Hybrid - onsite and remote Responsibilities • Contribute to the development of technical requirements including data definitions ...

Data Analyst Location: Pensacola, FL Type: Contract Work Model: Hybrid - onsite and remote Responsibilities • Contribute to the development of technical requirements including data definitions ...

Data Analyst Location: Pensacola, FL Type: Contract Work Model: Hybrid - onsite and remote Responsibilities • Contribute to the development of technical requirements including data definitions ...

Data Analyst Location: Pensacola, FL Type: Contract Work Model: Hybrid - onsite and remote Responsibilities • Contribute to the development of technical requirements including data definitions ...

Data Analyst Location: Pensacola, FL Type: Contract Work Model: Hybrid - onsite and remote Responsibilities • Contribute to the development of technical requirements including data definitions ...

Data Analyst Location: Pensacola, FL Type: Contract Work Model: Hybrid - onsite and remote Responsibilities • Contribute to the development of technical requirements including data definitions ...

Data Analyst Location: Pensacola, FL Type: Contract Work Model: Hybrid - onsite and remote Responsibilities • Contribute to the development of technical requirements including data definitions ...

Data Analyst Location: Open to hybrid in Pensacola, FL, Winchester, VA, or Vienna VA. Duration: Initial 6 months plus extensions Work Requirements: or Authorized to work in the US Description Partner ...

Title: Data Analyst Location: Open to hybrid in Pensacola, FL, Winchester, VA, or Vienna VA. Duration: Initial 6 months plus extensions Work Requirements: USC, GC or Authorized to work in the US ...

Data Analyst Location: Pensacola, FL Type: Contract Work Model: Hybrid - onsite and remote Responsibilities • Contribute to the development of technical requirements including data definitions ...

You will provide inputs for data science and business intelligence projects and conduct analysis on large data sets to support organizational objectives. This position involves solving a range of ...

Data Architect

Mobile, AL

$63.25 - $81.25/hr

We are seeking an experienced Data Architect who can design and support scalable enterprise data solutions, including data flows, system integrations, data lakes, and centralized repositories. The ...

New

Data Analyst

Pensacola, FL · On-site

$60K - $80K/yr

Data Analyst Looking for an opportunity to make an impact at a fast growing, investor-backed AI/ML company? This is an exciting opportunity with a fast-growing team at the cutting-edge intersection ...

Crime Data Analyst

Gulf Shores, AL · On-site

$23.01 - $34.52/hr

The Crime Data Analyst is subject to extended and unusual hours to include holidays, nights, weekends, and be available for critical incidents. Essential Job Functions Performs statistical and ...

Associate Data Analyst

Pensacola, FL · On-site

$60K - $80K/yr

Associate Data Analyst Looking for an opportunity to make an impact at a fast growing, investor-backed AI/ML company? This is an exciting opportunity with a fast-growing team at the cutting-edge ...

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Showing results 1-20

Data information

See Foley, AL salary details

$39.4K

$141.2K

$208.4K

How much do data jobs pay per year?

As of Jul 22, 2026, the average yearly pay for data in Foley, AL is $141,224.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,200.00 and $145,500.00 per year, depending on experience, location, and employer.

What do data jobs do?

Data jobs involve collecting, analyzing, and interpreting data to help organizations make informed decisions. Roles such as data analysts and data scientists use tools like SQL, Python, or R to process large datasets and generate insights. These jobs often require strong analytical skills and knowledge of data management and visualization techniques.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

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 solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a Data Analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What Are Different Jobs That Work With Data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What is the definition of data?

Data in a data-related job refers to raw, unprocessed facts and figures collected for analysis, decision-making, or processing. It can include numbers, text, images, or other information stored and managed using tools like databases and data analysis software. Understanding data is essential for tasks such as data cleaning, interpretation, and reporting.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and interpreting data to support decision-making, often requiring skills in programming, statistics, and data visualization tools like SQL, Python, or R.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What skills are needed for data jobs?

Data jobs typically require strong analytical skills, proficiency in programming languages such as Python or R, and knowledge of database management and SQL. Familiarity with data visualization tools like Tableau or Power BI and understanding of statistical methods are also important. Additionally, problem-solving abilities and attention to detail are essential for success in this field.

What are the 4 types of data?

In data-related jobs, the four main types of data are structured data, which is organized in databases and spreadsheets; unstructured data, such as emails, videos, and social media content; semi-structured data, like XML or JSON files that have some organization; and metadata, which provides information about other data. Understanding these types helps data professionals manage, analyze, and interpret data effectively using tools like SQL, Python, or data visualization software.

What is data on my phone?

Data on your phone refers to the digital information stored or transmitted by your device, including apps, files, and internet activity. For a data-related job, understanding how data is collected, managed, and secured is essential, often involving skills in data analysis, database management, and cybersecurity. Managing phone data may also require knowledge of mobile operating systems and data privacy practices.

What are the synonyms of data?

For a data analyst or data scientist, synonyms of data include information, figures, statistics, metrics, and records. These terms are often used interchangeably depending on the context and type of data being handled, and familiarity with data management tools like SQL or Excel can aid in working with these concepts.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include roles such as senior investment bankers, hedge fund managers, specialized surgeons, and top executives like CEOs and CFOs. These positions often require extensive experience, advanced degrees, and strong industry networks, with compensation frequently including bonuses and stock options.
What job categories do people searching Data jobs in Foley, AL look for? The top searched job categories for Data jobs in Foley, AL are:
What cities near Foley, AL are hiring for Data jobs? Cities near Foley, AL with the most Data job openings:
Infographic showing various Data job openings in Foley, AL as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $141,224 per year, or $67.9 per hour.
Data Analyst

Data Analyst

System One

Pensacola, FL • Remote

Contractor

Posted 16 days ago


Job description

Job Title: Data Analyst Location: Pensacola, FL Type: Contract Work Model: Hybrid – onsite and remote

Responsibilities • Contribute to the development of technical requirements including data definitions, business rules, and data quality requirements; conduct data UAT, and data accuracy, validation, integrity research • Ensure compliance with deliverable reporting requirements by performing quality data audits and analysis • Identify and compile data sets using a variety of tools to help predict, improve, and measure the success of key business-to-business outcomes • Document data collection, cleaning, and governance procedures, maintaining comprehensive documentation to ensure transparency, repeatability, and compliance with data governance standards • Clean and organize raw data and generate descriptive statistics in support of business intelligence and data science projects • Partner with senior staff to communicate findings and insight to stakeholders • Collaborate with team members and participate in team projects and initiatives • Provide data research and write data queries for smaller analytics projects

Requirements • 2-5 years of experience in data analysis and reporting • Basic understanding of business and operating environment • Skill in data manipulation and scripting languages such as SQL, Python, or R, as well as advanced data cleaning and preprocessing techniques and tools • Effective skill with analytical techniques required for data usage and data cleaning • Skill interpreting, extrapolating and interpolating data for statistical research and modeling • Knowledge of various data structures and ability to extract data sources using various visualization tools (e.g., PowerBI, Excel) • Knowledge of data governance principles and practices • Bachelor's Degree in Statistics, Mathematics, Computers Science, Engineering, or degrees in similar quantitative fields

#M- #LI- Ref: #851-Rockville-S1