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Data Analyst Python Sql Jobs in Lawrenceville, GA

The E Group

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Data Analytics Engineer

Atlanta, GA · On-site

$50 - $55/hr

Spark SQL * Python * SQL * Optimize lakehouse performance, scalability, and cost management ... Data Analytics * Engineering * Related technical discipline Experience * 3-7 years of experience in ...

New

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 ...

CGI Inc.

Data Engineer/Scientist

Atlanta, GA · On-site

Build and maintain data pipelines using Databricks, Python, SQL, and Spark . Perform exploratory data analysis, hypothesis testing, feature engineering, and model evaluation. . Develop datasets and ...

New

State Farm

Data Analyst - Advance Analytics

Dunwoody, GA · Hybrid

... Analyst with a focus on visualization & dashboard creation, where your expertise will shape the ... Utilize programming languages such as SQL and Python to extract and manipulate data from complex ...

New

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 ...

CYNET SYSTEMS

Sr. Oracle SQL Analyst

Atlanta, GA · On-site

$53/hr

Extract, validate, transform, and analyze operational data for reporting, research, grants, and executive requests. * Develop and maintain automated SQL processes, scheduled database jobs, and ...

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 ...

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 ...

Lancesoft

DCS - Sr. Oracle SQL Analyst

Atlanta, GA · On-site

$53 - $53.76/hr

DCS - Sr. Oracle SQL Analyst Duration: 08/10/2026 - 06/30/2027 Work Hours: 8hrs/day 5days/week ... data. * This is not a traditional Business Intelligence or Dashboard Development position.

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 ...

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 ...

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

Data Analyst Python Sql information

See Lawrenceville, GA salary details

$31.2K

$75.7K

$124.6K

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

As of Aug 8, 2026, the average yearly pay for data analyst python sql in Lawrenceville, GA is $75,725.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,300.00 and $88,900.00 per year, depending on experience, location, and employer.

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 are popular job titles related to Data Analyst Python Sql jobs in Lawrenceville, GA? For Data Analyst Python Sql jobs in Lawrenceville, GA, the most frequently searched job titles are:
What job categories do people searching Data Analyst Python Sql jobs in Lawrenceville, GA look for? The top searched job categories for Data Analyst Python Sql jobs in Lawrenceville, GA are:
What cities near Lawrenceville, GA are hiring for Data Analyst Python Sql jobs? Cities near Lawrenceville, GA with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you

Data Analytics Engineer

The E Group

Atlanta, GA • On-site

$50 - $55/hr

Contractor

Medical, Dental, Life, Retirement, PTO

Posted 2 days ago

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Job description

Immediate W2 contract position available in Atlanta, GA (Hybrid).

  • The position is listed as hybrid because team members come into the office as needed for meetings with business partners. Currently, we do not have sufficient office space for all workers to be onsite Monday through Thursday from 8:00 AM to 5:00 PM.


Estimated Duration: 3 years
Job Summary:
The Data Engineer is responsible for designing, building, and supporting scalable data platforms, data products, application integrations, and analytics solutions that enable business decision-making across Power Delivery. This role develops and maintains enterprise data pipelines, integrates operational systems with cloud-based lakehouse platforms, and supports both low-code and pro-code application development using Microsoft Power Platform, OutSystems, and Databricks.
The successful candidate partners with business stakeholders, data analysts, application developers, and technology teams to deliver trusted, governed, and reusable data assets.
Key Responsibilities:

  • Data Engineering & Integration
    • Design, build, and support enterprise data pipelines using ETL and ELT methodologies.
    • Develop scalable ingestion frameworks for structured, semi-structured, and streaming data.
    • Build and maintain Databricks notebooks, workflows, and data pipelines.
    • Ingest data from source systems using:
      • Azure Data Factory
      • Kafka
      • CDC technologies
      • APIs
      • Files and database sources
    • Implement data quality checks, monitoring, and exception handling.
    • Support Bronze, Silver, and Gold (Medallion) data architectures within the Databricks Lakehouse.
  • Databricks Development
    • Design and maintain Delta Lake tables and data products.
    • Develop solutions using:
      • Databricks
      • PySpark
      • Spark SQL
      • Python
      • SQL
    • Optimize lakehouse performance, scalability, and cost management.
    • Support data sharing, governance, and catalog management using Unity Catalog.
  • Application Development
    • Build and enhance business applications using:
      • Microsoft Power Apps
      • Power Automate
      • Microsoft Power Platform
      • OutSystems
    • Develop integrations between Databricks and business applications.
    • Partner with users to automate workflows and operational processes.
  • Data Governance & DevOps
    • Follow Company governance and security standards.
    • Implement CI/CD practices using GitHub and Azure DevOps.
    • Maintain documentation, data lineage, and metadata for enterprise data assets.
    • Participate in architecture reviews and solution design activities.

Required Qualifications
Education

  • Bachelor's degree in one of the following:
    • Computer Science
    • Information Systems
    • Data Analytics
    • Engineering
    • Related technical discipline

Experience

  • 3–7 years of experience in data engineering, analytics engineering, or software development.
  • Experience building enterprise data pipelines and integrations.
  • Experience working with cloud-based data platforms.

Required Technical Skills

  • Data Engineering
    • ETL / ELT design and development
    • Data ingestion frameworks
    • Data pipeline orchestration
    • Data warehousing concepts
    • Data Lake and Lakehouse architectures
    • Medallion architecture
  • Databricks
    • Databricks
    • Databricks Workflows
    • PySpark
    • Spark SQL
    • Delta Lake
    • Unity Catalog
    • Data Products
  • Cloud & Integration
    • Azure Data Factory
    • APIs
    • Kafka
    • CDC technologies
    • SQL Server
  • Development
    • Python
    • SQL
    • GitHub
    • Azure DevOps
  • Business Applications
    • Microsoft Power Apps
    • Power Automate
    • Microsoft Power Platform
    • OutSystems

Preferred Qualifications

  • Utility industry experience
  • Power Delivery domain knowledge
  • Experience supporting Transmission or Distribution Analytics
  • Real-time data streaming experience
  • Knowledge of AI/ML enablement on Databricks
  • Experience with Power BI integration and DirectQuery architectures


Company Description

We provide supplemental employees to the region's most sought after power projects. We credit our success to the commitment we show to our job applicants. E Group Recruiters are here to make sure your job search experience is the best it can be. Our recruiters are experts in knowing what the client manager is looking for in a resume, what bill rate the market will bear, and how to make your application stand out among the rest. Our personal touch continues even after we've found the perfect job for you. All full-time employees are eligible to pay for full health and retirement benefits including BC/BS health and dental insurance, life and disability insurances, and 401K with an immediately vested match is available. We have a dedicated team to guide you through these benefits.