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Data Analyst Python Sql Jobs in Atlanta, GA (NOW HIRING)

4pconsultinginc

Data Analyst II

Forest Park, GA · On-site

Data Analyst II Location: Forest Park, GA Contract- 15 Months Client- Southern Company Services ... This role requires strong technical skills in SQL, Python, Spark, and data visualization as well as ...

Sterling Engineering Inc.

Data Analyst

Atlanta, GA

$45 - $60/hr

Analyze financial and operational data to identify trends, forecast results, and provide actionable ... Utilize SQL, Python, and other analytical tools to analyze large datasets and support operational ...

ResolveSoft Inc

Data Analyst

Atlanta, GA · On-site

$65K - $85K/yr

... Python, R, and preferably Smartsheet, * 1+ years of experience with SQL, GIS, Data Visualizations, Survey Methodology or Implementation * 1+ years of experience with application of AI Tools: GitHub ...

CharterUP

Data Analyst

Atlanta, GA · On-site

$70K - $75K/yr

Data Analyst Reports to: Head of Business Intelligence, Finance and Accounting Location: Atlanta ... Proficiency in SQL, Python or equivalent * Proficiency in Excel/Google Sheets * Strong knowledge of ...

ClarityPay

Finance Data Analyst

Atlanta, GA · On-site

... • Strong SQL skills -- comfortable writing complex queries, joins, window functions, and aggregations • Proficiency in Python for data analysis and process automation (pandas, numpy) • ...

HireITPeople

Oracle SQL Analyst

Atlanta, GA · On-site

Under limited supervision, the Senior Oracle SQL Data Analyst develops, maintains, and supports SQL solutions for operational reporting, research, executive decision-making, legislative reporting ...

ITTConnect

Data Analyst (Neo4j)

Atlanta, GA · Remote

ITTConnect is seeking a Data Analyst (Neo4j) to work remotely for a client in the US. This is a ... Experience with both SQL and graph databases. Strong programming skills in Python or Java.

Navtech, Inc.

Sr Data Analyst

Atlanta, GA · On-site +1

$82K - $104K/yr

SQL and Python are required. * Be proficient in using SQL to extract/transform data from various systems and in performing analysis on large datasets. * 4+ years of experience with visualization ...

Salesforce

DATA ANALYST/BI ENGINEER

Atlanta, GA · On-site

DATA ANALYST/BI ENGINEER Location: Plano, TX - Hybrid (3 days/week on-site) preferred. Alternate ... Strong SQL, Databricks ( or Snowflake) , Python and PowerBI ( reports and dashboard development ...

Salesforce

DATA ANALYST/BI ENGINEER

Atlanta, GA · On-site

DATA ANALYST/BI ENGINEER Location: Plano, TX - Hybrid (3 days/week on-site) preferred. Alternate ... Strong SQL, Databricks ( or Snowflake) , Python and PowerBI ( reports and dashboard development ...

Apidel Technologies

Sr. Oracle SQL Analyst

Atlanta, GA · On-site

Under limited supervision, the Senior Oracle SQL Data Analyst develops, maintains, and supports SQL solutions for operational reporting, research, executive decision-making, legislative reporting ...

4pconsultinginc

Data Analytics Analyst 3

Atlanta, GA · On-site

Analyze large and complex datasets using tools such as Python, R, and SQL * Create clear and compelling visualizations using Matplotlib, Seaborn, Tableau , or similar tools * Present data insights ...

ATLANTA MISSION

Data Analyst

Atlanta, GA · On-site

Proficiency or demonstrated ability to quickly learn SQL for database querying. * Experience with ... Familiarity with statistical analysis concepts; experience with Python or R is a plus.

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All JobsData Analyst Python Sql JobsData Analyst Python Sql Jobs in Atlanta, GA

Data Analyst Python Sql information

See Atlanta, GA salary details

$32.7K

$79.5K

$130.8K

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

As of Aug 18, 2026, the average yearly pay for data analyst python sql in Atlanta, GA is $79,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,100.00 and $93,300.00 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 Atlanta, GA?

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

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

The top searched job categories for Data Analyst Python Sql jobs in Atlanta, GA are:

What cities near Atlanta, GA are hiring for Data Analyst Python Sql jobs?

Cities near Atlanta, GA 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 Atlanta, GA as of August 2026, with employment types broken down into 58% Full Time, and 42% Contract. Highlights an 100% In-person job distribution, with an average salary of $79,471 per year, or $38.2 per hour.

Data Analyst II

4pconsultinginc

Forest Park, GA • On-site

Contractor

Re-posted 26 days ago

Job description

Data Analyst II 

Location: Forest Park, GA

Contract- 15 Months

Client- Southern Company Services

Position Overview

The Data Analyst II supports TSS Engineering by developing and maintaining data-driven tools, dashboards, and applications to enable informed decision-making across engineering and operations. This role requires strong technical skills in SQL, Python, Spark, and data visualization as well as an understanding of utility power transmission and substation engineering business processes.

Major Job Responsibilities

  • Data Acquisition & Maintenance: Acquire, filter, and clean data from primary and secondary sources; maintain structured databases and data systems.

  • Data Analysis: Identify, interpret, and analyze complex trends and patterns in large datasets. Apply statistical techniques to deliver actionable insights.

  • Dashboard Development: Create and maintain Power BI/Tableau/Palantir Foundry dashboards for leadership visibility into performance metrics.

  • Visualization & Reporting: Translate engineering and business data into intuitive dashboards, custom visualizations, and clear reports.

  • Process Improvement: Assess and recommend best practices to improve data workflows, accuracy, and efficiency.

  • Collaboration: Partner with engineering leadership, finance, and regulatory teams to support compliance and reporting needs.

  • Ad-hoc & Critical Projects: Support urgent reporting, financial/regulatory submissions, and high-visibility projects requiring specialized analytics.

  • Training & Support: Provide end-user support and informal training on visualization tools and analytics concepts.

  • Custom Applications: Assist with development of adaptive web and low-code applications for reporting and process automation.

Qualifications

Education:

  • Bachelor’s degree in an analytical discipline (Finance, Economics, Mathematics, Statistics, Computer Science, or Engineering) preferred.

Experience & Skills:

  • 3–5 years of professional experience in data analytics or related field.

  • Strong proficiency with SQL, Python, and/or Spark for data manipulation.

  • Demonstrated experience developing dashboards in Power BI (preferred), Tableau, or Palantir Foundry.

  • Experience handling large datasets; familiarity with big data, data modeling, and data management technologies.

  • Proficiency with Microsoft Office (Word, Excel, PowerPoint).

  • Exposure to utility power transmission, substations, or engineering shared services strongly preferred.

  • Experience with cloud platforms (Azure, Databricks) is a plus.

  • Strong analytical problem-solving skills with a natural curiosity to learn.

  • Demonstrated ability to coordinate multiple requests and meet deadlines.

  • Excellent written and verbal communication skills.