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Data Analyst Python Sql Jobs in Alabama (NOW HIRING)

Senior Data Analyst

Huntsville, AL · On-site

$80K - $101K/yr

Data Analyst (Huntsville Alabama) At B&A, we foster and embrace a distinct set of values that we ... Python, SQL (Structured Query Language), data visualization, and data cleaning and preparation

... with: o SQL and relational databases o Excel (advanced) o Data visualization tools (Power BI ... The Data Analyst will directly influence financial outcomes, operational efficiency, and patient ...

Experience with Python for data analysis, automation, and scripting. * Proficiency in SQL for querying, manipulating, and validating large datasets. * Strong experience performing Exploratory Data ...

Data Analyst

Huntsville, AL

$43.26 - $52.88/hr

The Quantitative Data Analyst helps with the interpretation, implementation, analysis and ... SQL, Microsoft PowerBI, Microsoft PowerPoint). Military connected talent encouraged to apply.

The Quantitative Data Analyst helps with the interpretation, implementation, analysis and ... SQL, Microsoft PowerBI, Microsoft PowerPoint). Military connected talent encouraged to apply.

Mid Data Analyst

Huntsville, AL · On-site

$61K - $141K/yr

You Have: * Knowledge of advanced data wuerying such as SQL * Knowledge of BI and dashboard ... Knowledge of statistical scripting such as Python or R * Knowledge of data pipelines and ...

Data Analyst, Mid

Huntsville, AL · On-site

$61K - $141K/yr

You Have: * Knowledge of advanced data wuerying such as SQL * Knowledge of BI and dashboard ... Knowledge of statistical scripting such as Python or R * Knowledge of data pipelines and ...

Showing results 41-60

Data Analyst Python Sql information

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 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 jobs can I get if I know Python and SQL?

Data analysts with Python and SQL skills can pursue roles such as data analyst, business intelligence analyst, or data scientist. These positions typically involve data extraction, cleaning, analysis, and visualization, often using tools like pandas, SQL databases, and visualization software. Strong programming and database management skills are essential for these roles.

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.

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 job categories do people searching Data Analyst Python Sql jobs in Alabama look for? The top searched job categories for Data Analyst Python Sql jobs in Alabama are:
What cities in Alabama are hiring for Data Analyst Python Sql jobs? Cities in Alabama with the most Data Analyst Python Sql job openings:
Infographic showing various Data Analyst Python Sql job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Analytics Analyst I 4P/685

4P Consulting Inc.

Birmingham, AL • On-site

Full-time

Re-posted 15 days ago


Job description

Job Summary:
4P Consulting Inc. is seeking a motivated Data Analytics Analyst I to support data analysis and business intelligence initiatives. The role involves collecting and analyzing data, creating visual reports, and collaborating with teams to understand data needs.
Responsibilities:
• Collect, clean, analyze, and interpret data from multiple sources.
• Use Python, R, SQL, and visualization tools to identify trends, patterns, and insights.
• Build reports, dashboards, charts, and visual presentations for business users.
• Support data extraction, transformation, and loading processes.
• Work with databases and structured datasets to prepare data for analysis.
• Perform statistical analysis and hypothesis testing to support business decisions.
• Assist with predictive modeling and basic machine learning techniques.
• Validate data accuracy and ensure reporting consistency.
• Collaborate with business, technical, and operational teams to understand data needs.
• Document data processes, reporting logic, and analysis results.
Qualifications:
Required:
• 1–3 years of experience in data analytics, reporting, business intelligence, or a related role.
• Bachelor’s degree in Data Analytics, Computer Science, Information Systems, Statistics, Mathematics, Business Analytics, or a related field.
• Proficiency with SQL for querying and analyzing data.
• Experience with Python or R for data analysis.
• Familiarity with data visualization tools such as Tableau, Power BI, Matplotlib, or Seaborn.
• Basic understanding of ETL processes and database concepts.
• Strong analytical, problem-solving, and critical-thinking skills.
• Strong attention to detail and ability to work with large datasets.
• Good written and verbal communication skills.
Preferred:
• Experience with machine learning or predictive analytics.
• Familiarity with statistical analysis and hypothesis testing.
• Experience working with multiple data sources and databases.
• Knowledge of data cleaning, data validation, and data quality practices.
• Exposure to business intelligence or dashboard development.
Company:
4P Consulting is a highly specialized Staffing and Recruiting company with significant experience and expertise in the Engineering industry, IT, Admin, Accounting, Advertising . Founded in 2012, the company is headquartered in Kennesaw, Georgia, US, , with a team of 11-50 employees. The company is currently Early Stage.