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Data Sql Jobs in Alabama (NOW HIRING)

Data Engineer II

Birmingham, AL · On-site

$107K - $128K/yr

The ideal candidate has strong expertise in SQL, data modeling, and big data tools such as Spark, Hive, and Airflow, with experience working across relational databases, NoSQL platforms, and data ...

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 : • ...

The ideal candidate should have strong experience in machine learning, statistical analysis, Python, SQL, and data visualization. Key Responsibilities * Collect, clean, preprocess, and analyze ...

The ideal candidate will have strong SQL scripting skills, understanding of various formats and platforms, excellent communication abilities, and experience validating data integrity throughout the ...

Data Analytics Analyst 3 Location: Birmingham, AL ( HYBRID) Contract- 3 Years Client- Alabama Power ... The ideal candidate has strong technical skills, a background in ETL, SQL, and visualization , and ...

1-3 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 ...

New

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 ...

Overview SOSi is seeking a Data Scientist to join our analytics team working on an innovative MLOps ... Experience working with SQL and NoSQL databases. * Experience with both Linux and Windows operating ...

Overview SOSi is seeking a Data Scientist to join our analytics team working on an innovative MLOps ... Experience working with SQL and NoSQL databases. * Experience with both Linux and Windows operating ...

Python, SQL * Feature store: Snowflake * Experiment Tracking: MLflow Typical work includes building and maintaining feature stores Snowflake/dbt, training and validating predictive models against ...

Python, SQL * Feature store: Snowflake * Experiment Tracking: MLflow Typical work includes building and maintaining feature stores Snowflake/dbt, training and validating predictive models against ...

Extract, manipulate, and analyze data using SQL. * Work independently with cross-functional teams to gather, define, and document data analysis requirements. * Create and maintain data documentation ...

Showing results 21-40

Data Sql information

What is the difference between Data Sql vs Data Analyst?

AspectData SqlData Analyst
Required CredentialsSQL certifications, database knowledgeStatistics, data visualization, SQL skills
Work EnvironmentDatabase management, backend systemsBusiness insights, reporting, dashboards
Industry UsageIT, tech, finance, healthcareMarketing, finance, consulting, tech

Data Sql professionals focus on managing and querying databases using SQL, often working behind the scenes to ensure data integrity. Data Analysts interpret data to generate reports and insights, frequently using SQL as a tool. While both roles require SQL skills, Data Sql roles are more technical and database-centric, whereas Data Analysts focus on analyzing data to support business decisions.

What cities in Alabama are hiring for Data Sql jobs?

Cities in Alabama with the most Data Sql job openings:

Infographic showing various Data Sql job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Analytics Analyst I

4pconsultinginc

Birmingham, AL • On-site

Contractor

Re-posted 21 days ago


Job description

Position: Data Analytics Analyst I

Location: Birmingham, AL
Contract : 3 Years
Client: Alabama Power
 

Position Overview

We are seeking a motivated Data Analytics Analyst I with 1–3 years of experience to support data analysis, reporting, data integration, and business intelligence initiatives.

The ideal candidate will have hands-on experience using tools such as Python, R, SQL, Tableau, Matplotlib, and Seaborn to analyze data, create visual reports, and deliver meaningful business insights. This role is well-suited for someone with strong analytical skills, attention to detail, and a desire to grow in data analytics, reporting, ETL, and predictive modeling.

Key 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.

Required Qualifications

  • 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 Qualifications

  • 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.

Key Skills

  • Data analysis and reporting
  • SQL querying
  • Python or R
  • Tableau / Power BI
  • Matplotlib / Seaborn
  • ETL and data integration
  • Statistical analysis
  • Predictive modeling
  • Data visualization
  • Data validation and documentation