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

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 ...

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 ...

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 ...

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 ...

Crew Career Center

Data Analyst

Atlanta, GA · On-site

Proficiencyin SQL for data extraction and manipulation. * Strong experience with at least one data ... Experience with scripting languages like Python or R for data analysis is a plus. * Familiarity ...

Patientco

Data Analyst

Atlanta, GA · On-site

Proficiencyin SQL for data extraction and manipulation. * Strong experience with at least one data ... Experience with scripting languages like Python or R for data analysis is a plus. * Familiarity ...

Place Services, Inc.

Data Analyst

Woodstock, GA · On-site

$65 - $95/hr

Proficiency in SQL for querying relational databases. * Experience with Acumatica ERP preferred ... Experience with Python or R for data analysis is a plus. Success Metrics * Accuracy, reliability ...

Primerica

Data Analyst 3

Duluth, GA · Hybrid

$95K - $120K/yr

The Data Analyst will act as a resource for colleagues with less experience. Interface with ... using SQL, MS Access, MS Excel, R, Python or other tools. * Research issues across multiple ...

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 ...

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 ...

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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 28, 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.

Associate Data Analyst

Brio Real Estate

Atlanta, GA • On-site

Full-time

Re-posted 13 days ago

Job description

Brio Real Estate is a Blackstone Real Estate portfolio company focused on real estate credit. Brio supports Blackstone's Real Estate Debt Strategies ("BREDS") investments across the globe. The company provides support across key functions, including corporate, transaction, and management services. The critical infrastructure and capabilities Brio provides for BREDS allows for effective support in the management of its global portfolio.
Today, BREDS has more than $76 billion of investor capital across high yield / opportunistic real estate credit funds, a publicly traded Mortgage REIT, and liquid securities strategies. BREDS is part of Blackstone Real Estate, the largest owner of commercial real estate globally, owning and operating assets across every major geography and sector.
Role Purpose:
At Brio, the Associate, Data Analyst plays a key role in supporting our data ecosystem by connecting technical and business teams and enabling critical day-to-day operations. You will partner with cross-functional stakeholders, including the trading desk, to understand data needs, build queries, and deliver actionable insights. Using platforms like Snowflake, Amazon Redshift, and SQL Server, you will help develop scalable data solutions and support the integration of new datasets into our analytical framework.
What you will do:
  • Play a central role in our data ecosystem. You'll serve as the critical link connecting technical and business functions, supporting essential workflows that power our daily operations. You'll be instrumental in onboarding and integrating every new dataset that enters our analytical framework.
  • Work directly with cross-functional teams. You'll collaborate with trading desk to understand their data needs and build queries to support their analysis
  • Work with industry-standard technology. You'll leverage platforms like Snowflake, Amazon Redshift, and SQL Server to build scalable data solutions

What you should have:
  • An experienced data analyst with technical depth. You have 3+ years of professional experience analyzing complex datasets and writing SQL, Python, or similar languages to automate reporting and analysis. You are able to translate business requirements into efficient data solutions while accounting for performance and scalability.
  • Passionate about loan-level data and/or structured products You have 2+ years of professional experience in fintech or structured products, working with loan-level information and understanding the complexities of amortization, prepayment, default, and loss severity. Your typical day-to-day involves wrangling messy loan tape data into a usable state, building complex analytics on asset performance, and creating reports on portfolio metrics. You're comfortable evaluating credit performance and communicating insights to both technical and business audiences.
  • Excited about modern data platforms. You work frequently with cloud data warehouses like Snowflake, Amazon Redshift, and SQL Server, and have experience optimizing queries and data models for performance at scale.
  • A first-rate collaborator and communicator. You're comfortable working alongside engineers and business teams, translating analytical requirements into actionable deliverables. You thrive on understanding client needs and delivering insights that drive decision-making.

EEO Statement
Brio Real Estate is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant, employee, or other covered person based on any legally recognized basis, including, but not limited to: veteran status, uniformed servicemember status, race, color, caste, immigration status, religion, religious creed (including religious dress and grooming practices), sex, gender, gender expression, gender identity, marital status, sexual orientation, pregnancy (including childbirth, lactation or related medical conditions), age, national origin or ancestry, citizenship, physical or mental disability, genetic information (including testing and characteristics), protected leave status, domestic violence victim status, or any other consideration protected by federal, state or local law. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email talent@revantage.com

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