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Senior Python Data Analyst Jobs in Augusta, GA (NOW HIRING)

Using Power BI, SQL, and Python, you will develop high-quality reports and dashboards, ensure data integrity, and work closely with cross-functional teams to deliver accurate, actionable analysis ...

Must have experience using basic Python data analysis packages (pandas, matplotlib, etc.) * Must have experience using a notebook analytic environment like Jupyter Notebooks * Must hold a TS SCI ...

Maintenance Data Analyst Requisition ID: 32703 Location: Augusta, GA, USA, 30903 Workplace Type: On ... This position reports to the site Sr Manager, Maintenance and Reliability. What you will do:

Aggregates and performs statistical analysis on business data based on requests from project teams or senior leadership. * Integrates data from multiple data sources or functional areas, ensures data ...

Senior Data Engineer

Augusta, GA ยท On-site

$98K - $133K/yr

... or Python; experience accelerating large data transactions across industry- leading GPU architectures to answer analytic questions. * Experience with assessments, enterprise data integration ...

Senior Geospatial Analyst

Augusta, GA ยท On-site

$81K - $108K/yr

Job Title Senior Geospatial Analyst Location Augusta, GA 30905 US (Primary) Category Intelligence ... Experience using Python, R, SAS, Java or other coding languages with spatial data to deliver custom ...

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Senior Python Data Analyst information

See Augusta, GA salary details

$51.7K

$93.3K

$127.4K

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

As of Jul 9, 2026, the average yearly pay for senior python data analyst in Augusta, GA is $93,278.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,800.00 and $102,000.00 per year, depending on experience, location, and employer.

What is the difference between Senior Python Data Analyst vs Data Scientist?

AspectSenior Python Data AnalystData Scientist
Required CredentialsBachelor's in Data Science, Statistics, or related field; Python proficiencyBachelor's or Master's in Data Science, Computer Science, or related; Python, R, machine learning skills
Work EnvironmentData analysis teams, business units, reportingResearch, model development, advanced analytics
Employer & Industry UsageBusiness, finance, marketing, healthcareTech companies, research institutions, finance, healthcare
Common Search & ComparisonYesYes

While both roles require Python skills and data analysis expertise, Data Scientists typically engage in advanced modeling, machine learning, and research tasks, whereas Senior Python Data Analysts focus more on interpreting data, generating reports, and supporting business decisions.

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

Full-time

Posted 5 days ago


Job description

Role summary: As a Data Analyst, you will transform complex data into clear, meaningful insights that support decision-making across the business. Using Power BI, SQL, and Python, you will develop high-quality reports and dashboards, ensure data integrity, and work closely with cross-functional teams to deliver accurate, actionable analysis within a highly regulated engineering environment.

What you will be doing:

  • Developing clear, insightful, and visually engaging dashboards, reports, and data visualisations using Power BI to support informed decision-making.

  • Analysing and manipulating data using SQL and Python to identify trends, patterns, and actionable insights.

  • Supporting the definition and refinement of key performance indicators (KPIs) and metrics to track business and technical performance.

  • Collaborating with engineering, project management, and consultancy teams to understand requirements, shape analytical approaches, and communicate findings.

  • Monitoring data quality, identifying anomalies, and implementing controls to maintain data accuracy, consistency, and integrity.

  • Providing training, guidance, and ongoing support to users of data platforms and analytics tools.

Formal qualifications or training:

  • Weโ€™d love to hear from you if you have hands-on experience in data analysis, manipulation, and visualisation. Strong experience using a Microsoft data technology stack (including Power BI and SQL) is essential, with working knowledge of Python for analysis and automation highly desirable.

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