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

4pconsultinginc

Data Analytics Analyst III

Atlanta, GA · On-site

SQL & Data Engineering * Develop advanced SQL queries across relational databases: * Azure SQL ... Experience with Python or R for data transformation. * Knowledge of: * Data governance * Metadata ...

Intellyk INC

Business & Data Analyst

Atlanta, GA · On-site

$90K/yr

Advanced degree preferred Proficient with SQL (experience in Hive and Teradata utilities preferred ... Python or R strongly preferred Hands on experience with BI tools; Tableau, power BI etc. Excellent ...

Velociti Services

Senior Data Analyst

Atlanta, GA · On-site

$110K/yr

Build and optimize complex SQL queries, data models, and transformations within Snowflake * Develop ... Experience with Python, R, or statistical analysis tools * Knowledge of cloud platforms such as AWS ...

ACI Infotech

Azure Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Minimum 8 years of experience working in IT department with Data & Analytics responsibilities * 4+ years of hands-on programming experience (SQL, Python, Scala, Java, etc.,) * Expertise in creating ...

Reserv, Inc.

Sr. Data Analyst - Transport

Atlanta, GA · On-site +1

$82K - $104K/yr

For this role, we are seeking data analysts with strong Python, SQL, and Excel skills. You should be curious about how claims work and how our systems process them. You'll also need the ability to ...

Apex Informatics

Data Analyst

Atlanta, GA · On-site

Extract primary data from Oracle Database with the use of SQL * Interpret data, analyze results using statistical techniques and provide ongoing reports * Provide timely and accurate data to fulfill ...

Conflux Systems

Sr. Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... Python, SQL, and Spark. • Build curated datasets to support Power BI dashboards. • Collaborate with data analysts and business stakeholders to deliver fit-for-purpose data assets. • Apply data ...

Spruce Infotech

Data Analyst/Eng

Alpharetta, GA · On-site

Strong experience in Teradata for data warehousing and SQL-based analysis. * Hands-on experience with Big Data technologies such as Hadoop . * Good understanding of financial data, metrics, and ...

Lancesoft

Data Analytics Analyst 2 - DAA2

Atlanta, GA · On-site

... Analyst 2 - DAA2 Department: Marketing Data Science Duration: 8/17/2026 - 12/11/2026 Required: 3-5 ... Proficient in Python or SQL, experienced in writing queries in Databricks, able to create data ...

Asta CRS Inc.

Be Seen First

Junior Data Analyst

Atlanta, GA · On-site

$28 - $30/hr

The Junior Data Analyst will assist in creating dashboards and reports, performing basic ... SQL or programming languages like Python or R. Company Description ASTA Corporate Resource ...

Emory Healthcare

Data Analyst II

Atlanta, GA

The Analyst will use existing data elements to create meaningful metrics, and independently engage ... R, SAS, SQL, Python, VBA). MINIMUM QUALIFICATIONS: Bachelor's degree and 0 years of experience, or ...

Emory Healthcare

Data Analyst II

Atlanta, GA · On-site

The Analyst will use existing data elements to create meaningful metrics, and independently engage ... R, SAS, SQL, Python, VBA). MINIMUM QUALIFICATIONS: Bachelor's degree and 0 years of experience, or ...

Lorven Technologies

Data Analyst

Atlanta, GA · On-site

Proficiency in SQL for querying and analyzing data across relational databases. * Understanding of data structures, relational models, and metadata. * Ability to work with large datasets and perform ...

Emory Healthcare

Data Analyst II

Atlanta, GA · On-site

$32.16 - $39.95/hr

The Analyst will use existing data elements to create meaningful metrics, and independently engage ... R, SAS, SQL, Python, VBA). MINIMUM QUALIFICATIONS: Bachelor's degree and 0 years of experience, or ...

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

Data Analyst Python Sql information

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$32.7K

$79.5K

$130.8K

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

As of Jul 13, 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.

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

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 are Data Analyst Python SQL jobs?

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.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

What are the key skills and qualifications needed to thrive as a Data Analyst with Python and SQL, and why are they important?

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.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

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 July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $79,471 per year, or $38.2 per hour.

Data Analytics Analyst III

4pconsultinginc

Atlanta, GA • On-site

Contractor

Re-posted 7 days ago

Job description

Position: Data Analytics Analyst III { GC & US Citizen only}

Location: Atlanta, Ga 30308
Duration: 6 Months
Client: Georgia Power
 

Position Overview

We are seeking an experienced Data Analytics Analyst III with strong expertise in data modeling, Power BI, SQL, and Azure-based analytics environments.

This role blends advanced analytics, BI development, and cloud-based data preparation within a modern lakehouse architecture (Databricks / Delta Lake). The ideal candidate can translate business questions into structured analytical datasets and actionable dashboards while coordinating small-to-mid-sized analytics workstreams.

Key Responsibilities

Data Modeling & Architecture

  • Design and implement dimensional and relational data models:
    • Star schema
    • Conceptual, logical, and physical models
    • Enterprise data structures
  • Apply best practices for performance optimization and scalability.

SQL & Data Engineering

  • Develop advanced SQL queries across relational databases:
    • Azure SQL
    • SQL Server
    • PostgreSQL
  • Work within Databricks and Delta Lake notebook environments.
  • Support ETL/ELT processes, data validation, and data performance tuning.

Business Intelligence & Reporting

  • Develop and maintain enterprise dashboards using Power BI.
  • Create semantic models using:
    • DAX
    • Power Query (M)
  • Apply visualization best practices and dashboard UI/UX standards.
  • Translate business requirements into analytical datasets and KPIs.

Data Preparation & Cloud Analytics

  • Work within Azure analytics ecosystems:
    • Azure Data Factory
    • Azure Synapse
    • Microsoft Fabric
  • Utilize Databricks SQL or Spark SQL for advanced analytical queries.

Project & Stakeholder Coordination

  • Coordinate small to mid-sized analytics projects or workstreams.
  • Partner with business stakeholders to clarify requirements.
  • Provide data-driven insights to support strategic decisions.

Required Qualifications

  • 5–10 years of experience in data analytics or BI roles.
  • Strong experience with:
    • Data modeling (dimensional/star schema)
    • SQL and relational databases
    • Power BI (DAX, Power Query, dataset modeling)
  • Hands-on experience with:
    • Databricks
    • Delta Lake
    • Notebook-based development
  • Strong Excel skills:
    • Power Query
    • Power Pivot
    • Advanced formulas
  • Ability to convert business questions into structured analytical outputs.

Preferred Qualifications

  • Experience with:
    • Power Apps
    • Power Automate
  • Exposure to Azure analytics tools (ADF, Synapse, Fabric).
  • Experience with Python or R for data transformation.
  • Knowledge of:
    • Data governance
    • Metadata management
    • Data stewardship
  • Familiarity with Spark SQL or Databricks SQL.

Technical Skills Summary

  • SQL (Azure SQL / SQL Server / PostgreSQL)
  • Power BI (DAX / M / Semantic Modeling)
  • Databricks / Delta Lake
  • Data Modeling (Star Schema / Lakehouse)
  • ETL / ELT Concepts
  • Excel (Advanced)
  • Azure Cloud Analytics
  • Spark SQL (Preferred)

Core Competencies

  • Strong analytical and critical thinking skills
  • Business translation capability (technical ↔ business)
  • Attention to data quality and validation
  • Project coordination and stakeholder management
  • Ability to work in cloud-based, modern data ecosystems