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Data Analyst Python Sql Jobs in Georgia (NOW HIRING)

Hands-on experience in data aggregation and analysis using Python, SQL or similar * Prior experience with statistical analysis, data mining and analysis to report trends, patterns and forecasting is ...

Technical Skills: · SQL · Microsoft Excel (Advanced) · Power BI or Tableau · Python or R (Preferred) · Data Visualization · Data Cleaning & Validation · Statistical Analysis · ETL Concepts · ...

Key Responsibilities: * Analyze large datasets using SQL to uncover trends, patterns, and ... Experience with Python libraries such as Pandas, Matplotlib, or Seaborn * Experience working in ...

Experience with SQL Strong programming skills in Python or Java Excellent problem-solving and analytical skills Requirements Experience with Neo4j data analysis. Experience with both SQL and graph ...

Data analyst responsibilities include conducting a full lifecycle analysis to include requirements ... SQL, python, r, excel, tableau, power bi,was, spss, data visualization, data mining, machine ...

... SQL, Python, or other data query languages is a plus. • Knowledge of sales tax regulations and exemptions is preferred but not required. • Strong problem-solving and analytical skills. • ...

Data Analyst

Atlanta, GA · On-site

$40/hr

Develop complex SQL queries to extract and transform data from multiple data sources * Identify ... Familiarity with scripting languages such as Python or R for data manipulation and analysis

I have an opportunity for a " Data Analyst " - (Alpharetta, GA - Onsite ). and I am looking for a ... Someone that is hands-on technically with t-sql and other data exploration technologies (python ...

I have an opportunity for a " Data Analyst " - (Alpharetta, GA - Onsite ). and I am looking for a ... Someone that is hands-on technically with t-sql and other data exploration technologies (python ...

Senior Data Analyst

Atlanta, GA · On-site

$82K - $104K/yr

Minimum 2 years of hands-on experience using Databricks, SQL, Python, and PySpark in an analytics environment. * Proficient in Tableau or a similar data visualization tool * Solid planning, priority ...

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Data Analyst Python Sql information

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 job categories do people searching Data Analyst Python Sql jobs in Georgia look for? The top searched job categories for Data Analyst Python Sql jobs in Georgia are:
What cities in Georgia are hiring for Data Analyst Python Sql jobs? Cities in Georgia with the most Data Analyst Python Sql job openings:
Infographic showing various Data Analyst Python Sql job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Analsyt (Python + AWS)

Hexaware Technologies, Inc

Atlanta, GA • On-site

Other

Posted 7 days ago


Job description

Job Role-Data Analyst
Location- Atlanta, GA
Duration-Full Time
Job Description
Data Analyst
Role Summary
We are seeking a Data Analyst to turn data into insights by building dashboards, defining metrics, and conducting analyses on AWS-based datasets. You will work primarily with SQL on Redshift/Athena, Python for analysis and automation, and BI tools to deliver accurate, actionable reporting.
Key Responsibilities
  • Translate business questions into analyses, KPIs, and dashboards.
  • Query and transform data using SQL against RDS, Oracle, Amazon Redshift and Athena.
  • Perform data profiling and validation on S3/Redshift datasets; escalate data quality issues and partner on resolution.
  • Write Python (pandas) for exploratory analysis, feature preparation, and light automation.
  • Optimize queries via appropriate partitioning, filters, and Redshift/Athena best practices.
  • Document logic, assumptions, and lineage in Confluence; manage work in Jira.
  • Create STTM Mapping document by coordinating with upstream/downstream stakeholders
  • Collaborate with data engineers on data requirements, schema changes, and data freshness SLAs.
  • Follow version control practices (Git) for SQL, notebooks, and dashboard assets.
Must-Have Skills
  • Strong SQL (CTEs, window functions, joins, query optimization basics).
  • Python for analysis (pandas, basic visualization) and working with JSON.
  • Hands-on experience with Amazon Redshift, Athena, and S3-based datasets.
  • Understanding of dimensional modeling, star schemas, and partitioned data.
  • Requirements gathering, stakeholder communication, and documentation (Confluence/Jira).
Nice-to-Have
  • Basic statistics (A/B testing, confidence intervals), Excel/Sheets power-user skills.
  • Familiarity with Glue Data Catalog concepts, data contracts, and data quality checks.
  • Build and maintain dashboards in QuickSight (or Tableau/Power BI) with consistent, well-documented metrics.