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

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 ...

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 ...

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 ...

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 ...

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 ...

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

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 ...

Senior Investment Data Analyst

Atlanta, GA · Hybrid

$82K - $104K/yr

Use SQL and Python to query, reconcile,validate, profile, and analyze large investment datasets. * Assess current logic, transformation rules, reconciliations, and data feed requirements in ...

Sr. Data Analyst I

Atlanta, GA · On-site +1

$82K - $104K/yr

For this role, we are seeking data analysts with strong Python and SQL skills, a curiosity for how claims work and how our systems work them, the ability to communicate with technical and non ...

New

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 ...

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 ...

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Data Analyst Python Sql information

See Snellville, GA salary details

$29.3K

$71.3K

$117.3K

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

As of Aug 17, 2026, the average yearly pay for data analyst python sql in Snellville, GA is $71,250.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,900.00 and $83,600.00 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 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 job categories do people searching Data Analyst Python Sql jobs in Snellville, GA look for?

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

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

Cities near Snellville, GA with the most Data Analyst Python Sql job openings:

Full-time

Re-posted 13 days ago


Job description

Overview

Job Purpose

The Quantitative Analyst will join the Quant Group which designs, implements, and supports enterprise quantitative models and systems. The primary role for this position will be to provide model research, development, and strategic recommendations to solve practical problems in the financial industry. The candidate for this job must have the ability to work in a fast-paced environment, formulate and articulate solutions and defend assumptions. This role requires frequent interaction with Quant Research, Data Analytics, Risk Management, Technology Development and Senior Management.

Responsibilities

  • Design and develop quantitative model analytics frameworks to assess model usage and performance.
  • Create relevant test data sets, and portfolio strategies to be submitted to the model validators and regulators.
  • Investigate model behavior, carry out root cause analysis, and give model improvement suggestions.
  • Provide documentation of methods, techniques, results, and analysis.
  • Analyze large data sets, including positions, prices, and other market/liquidity data.
  • Research and design innovative quantitative solutions for stakeholders.
  • Develop and support in-house quantitative R&D platform and analytics tools to automate model testing, analysis, and visualization.

Knowledge and Experience

  • Master's Degree or above in math, quantitative finance, physics, statistics, computer science or similar quantitative fields.
  • Proficiency in Python, SQL, and object-oriented programming.
  • Advanced knowledge in math (stochastic process, probability theory, numerical methods).
  • Ability to work in a high-performance, high-velocity environment.
  • Strong analytical and organizational skills with acute attention to detail.
  • Strong communication skills in both verbal and written English.

Preferred

  • Strong knowledge of Python, SQL, and C++.
  • Strong knowledge in object-oriented programming.
  • Work experience in Options Pricing Theory.
  • Work experience in Data Analytics.
----------Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.Employment Type: FULL_TIME