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Data Analyst Python Sql Jobs in Mobile, AL (NOW HIRING)

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DATA ANALYST 4

Pascagoula, MS · On-site

$70 - $110/hr

Conducts quantitative and qualitative analysis on data and information to ensure correct predictive ... Scripting or development experience (e.g., PowerShell, Python, C#, or similar) related to AI. #J ...

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Information Systems & Business Intelligence Analyst

Mobile, AL · On-site

Microsoft SQL Server * Power BI * C# * Python * REST APIs * JSON / XML * ETL Processes * Data ... Data Analytics * AI-assisted Business Automation Why You'll Love Working Here * Work directly with ...

Lynker

Database and Applications Developer

Pascagoula, MS · On-site

$95 - $130/hr

Analyze disparate data sources, including flat files, .db3 files, Access databases, legacy SQL ... NET. * ETL and scripting proficiency using Python, including Pandas and NumPy; PL/SQL; Informatica ...

AIS Inc

Oracle Application Developer/DBA

Pascagoula, MS · On-site

Analyze disparate data sources (flat files, .db3, Access databases, legacy SQL, APIs) and design ... Python (Pandas/NumPy), PL/SQL, Informatica, or FME. * Front end: HTML5, CSS3, JavaScript, and AJAX ...

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Data Analyst Python Sql information

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$33.7K

$82K

$135K

How much do data analyst python sql jobs pay per year?

As of Aug 31, 2026, the average yearly pay for data analyst python sql in Mobile, AL is $82,006.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,300.00 per year, depending on experience, location, and employer.

What is a data analyst Python SQL?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

What are the key skills and qualifications needed to thrive as a data analyst with Python and SQL?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

How does a data analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What are popular job titles related to Data Analyst Python Sql jobs in Mobile, AL?

For Data Analyst Python Sql jobs in Mobile, AL, the most frequently searched job titles are:

What job categories do people searching Data Analyst Python Sql jobs in Mobile, AL look for?

The top searched job categories for Data Analyst Python Sql jobs in Mobile, AL are:

What cities near Mobile, AL are hiring for Data Analyst Python Sql jobs?

Cities near Mobile, AL with the most Data Analyst Python Sql job openings:

Data Analyst Python Sql jobs near you
Infographic showing various Data Analyst Python Sql job openings in Mobile, AL as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,006 per year, or $39.4 per hour.

DATA ANALYST 4

Pascagoula, MS • On-site

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$70 - $110/hr

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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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