1

Data Analyst Python Sql Jobs in Alabama (NOW HIRING)

Job Title :: Data Analyst 2 Location :: Birmingham, AL 35203(Onsite) Contract :: 6-Months Skills and Responsibilities · 3-5 Years Proficient in using tools like Python, R, SQL, and data ...

Data Analyst

Huntsville, AL · On-site

$87K - $157K/yr

Analyze RF signal data to identify trends, anomalies, and actionable insights. * Organize and ... Familiarity with Linux, Python, SQL, or Matlab. * Experience utilizing Agile methods for ...

The role involves using tools like Python, R, and SQL for data analysis, as well as performing data integration and statistical analysis to derive insights from data. Responsibilities : • ...

Business Data Analyst I

Huntsville, AL · On-site

$66K - $83K/yr

Proficiency in Python, SQL, and Excel fundamentals for data extraction and manipulation. * Basic ... Excellent analytical thinking, problem-solving, and attention to detail. * Strong communication and ...

Write SQL queries for data analysis * Perform data validation and quality checks * Support KPI and trend reporting * Assist with ad-hoc analysis * Document metrics and reports Required Qualifications ...

... Analyst 3 Location: Birmingham, AL ( HYBRID) Contract- 3 Years Client- Alabama Power Job Summary We ... Develop and optimize queries using SQL, Python, DAX, and Power Query . * Maintain and improve data ...

This typically includes BI dashboards, Python programs, or Excel/VBA reports • Enhances business ... SQL and experience with a variety of relational databases. • Strong analytical skills and the ...

... such as SQL Knowledge of BI & Dashboard Development such as Power BI/Tableau Knowledge of ... Scripting such as Python/R Knowledge of Data Pipelines & Warehousing (ETL/ELT) Preferred ...

Data Management Analyst

Huntsville, AL · On-site

$120K - $135K/yr

Proficiency in coding (e.g., Python, SQL, R) to extract, manipulate, and analyze large datasets. * Experience designing databases and user-interfaces to collect data and automate workflows. * Strong ...

Data Management Analyst

Huntsville, AL · On-site

$120K - $135K/yr

Proficiency in coding (e.g., Python, SQL, R) to extract, manipulate, and analyze large datasets. * Experience designing databases and user-interfaces to collect data and automate workflows. * Strong ...

Data Management Analyst

Huntsville, AL · On-site

$120K - $135K/yr

Proficiency in coding (e.g., Python, SQL, R) to extract, manipulate, and analyze large datasets. * Experience designing databases and user-interfaces to collect data and automate workflows. * Strong ...

Proficiency in coding (e.g., Python, SQL, R) to extract, manipulate, and analyze large datasets. * Experience designing databases and user-interfaces to collect data and automate workflows. * Strong ...

Senior Data Analyst

Huntsville, AL

$80K - $101K/yr

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

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

Analyze RF signal data to identify trends, anomalies, and actionable insights. * Organize and ... Familiarity with Linux, Python, SQL, or Matlab. * Experience utilizing Agile methods for ...

Showing results 21-40

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 Analyst 2

4P Consulting Inc.

Birmingham, AL

Contractor

Re-posted 14 days ago


Job description

Job Title :: Data Analyst 2

Location :: Birmingham, AL 35203(Onsite)

Contract :: 6-Months

Skills and Responsibilities

· 3-5 Years Proficient in using tools like Python, R, SQL, and data visualization libraries (e.g., Matplotlib, Seaborn, Tableau) to analyze and present data insights effectively.

· Data Integration and ETL: Skilled in data extraction, transformation, and loading (ETL) processes, working with various data sources and databases to prepare data for analysis.

· Statistical Analysis: Proficiency in statistical analysis and hypothesis testing to draw

· meaningful conclusions from data, as well as the ability to apply machine learning

techniques for predictive modeling.