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Senior Python Data Analyst Jobs in Chattanooga, TN

Senior Legal Analyst

Chattanooga, TN ยท Remote

$40 - $60/hr

We are looking for a Senior Legal Analyst (part-time work from home) to help advance AI development ... data analysis and visualization. Your work directly contributes to refining intelligent systems ...

Data Engineer I

Chattanooga, TN ยท On-site

$104.30K - $125.20K/yr

... analytics or visualization/insight generation purposes. The role requires technical expertise in ... Data Engineering: Experience with at least one relevant ETL toolset (IICS, Python, SnowSQL, etc.

Senior Business Analyst

Chattanooga, TN

$84.20K - $108.80K/yr

Responsibilities As a Sr. Business Analyst for Sales Enablement, you will: * Leverage Ai in all ... Translate business needs into clear processes, data needs, and solution requirements with a strong ...

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Senior Financial Analyst

Chattanooga, TN ยท Remote

$40 - $60/hr

Proficient in financial analysis, financial modeling, data analysis, and other reasoning exercises related to finance management * A current, in progress, or completed Masters and/or PhD is preferred ...

Your Opportunity We're looking for a Senior Noise Analyst to support our Mid-Atlantic Traffic Noise ... Ability to analyze technical data to draw conclusions, make recommendations and decisions, and ...

... for senior leadership and stakeholders * Work cross-functionally with commercial, analytics ... other technical / data visualization skills (e.g., Python, Power BI, Tableau, SQL) * Bonus:

... data-driven decisions. To apply for this role, call Charles Aris Inc. Senior Recruiter Tony White ... analysis professional considering a role in a private equity portfolio company, the path can be ...

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Showing results 1-20

Senior Python Data Analyst information

See Chattanooga, TN salary details

$50.1K

$90.4K

$123.4K

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

As of May 28, 2026, the average yearly pay for senior python data analyst in Chattanooga, TN is $90,352.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,300.00 and $98,800.00 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 cities near Chattanooga, TN are hiring for Senior Python Data Analyst jobs? Cities near Chattanooga, TN with the most Senior Python Data Analyst job openings:

Azure Data Engineer (Microsoft Fabric)

Kanak Elite Services Inc

Rossville, GA โ€ข On-site

$98.90K - $118.80K/yr

Contractor

Posted 20 days ago


Job description

Hello There,

My name is Himanshu Sharma, and I serve as the Recruitment Lead at Kanak-IT INC. I am reaching out to share an excellent career opportunity for the role of Azure Data Engineer with our esteemed client. If you are interested then please share your updated resume at Himanshu01@kanakits.comย 

Job Description

Positionย ย ย ย ย ย ย ย ย ย  : Azure Data Engineer

Locationย ย ย ย ย ย ย ย ย  : Roswell, GA Hybrid/Remote

Durationย ย ย ย ย ย ย ย  : Long term contract

Description

The client is transitioning into Microsoft Fabric, and this role will play a key part in that journey. The Data Engineer will be responsible for building and maintaining end-to-end data pipelines for analytics solutions, leveraging Microsoft Azure Cloud, Azure Synapse Analytics, and Microsoft Fabric.

Qualifications (Must-Have):

  • Minimum of 8โ€“10 years of hands-on experience building data pipelines, data models, and supporting enterprise data warehouse solutions.
  • Hands-on experience with Microsoft Fabric for data pipelines, modeling, and analytics.
  • Proficiency with Microsoft Azure data services, including Azure Synapse Analytics.
  • Strong SQL, data modeling, and ETL/ELT development skills.
  • Experience working within a scaled agile framework for data engineering product delivery.
  • Microsoft Azure certifications in analytics technologies are a plus.
  • 4+ years of experience with ETL and cloud data technologies, including Azure Data Lake, Azure Data Factory, Azure Synapse, Azure Logic Apps, Azure Functions, Azure Data Explorer, and Power BI (or equivalent platforms).
  • 4+ years of experience in big data scripting languages such as Python, SCOPE, or SQL.
  • 4+ years of experience in one scripting language for data retrieval and manipulation (e.g., SQL or KQL).

Responsibilities:

  • Build and maintain end-to-end data pipelines across Azure Synapse Analytics and Microsoft Fabric.
  • Develop and implement solutions on the Azure cloud platform to support a modern enterprise data platform.
  • Partner with cross-functional teams to ensure data is collected, stored, processed, and analyzed in a timely, efficient, and accurate manner.
  • Design, develop, and implement analytics solutions on Azure Synapse Analytics.
  • Develop ETL/ELT processes for large-scale data ingestion, ensuring data quality and pipeline performance.
  • Transform and model data to meet business requirements, loading it into Azure Synapse SQL Warehouse/Azure Data Lake Storage.
  • Implement monitoring and error handling processes for reliable data integration.
  • Optimize pipelines for cost and performance through query tuning, caching, and resource management.
  • Automate repeatable data preparation tasks to reduce manual processes.
  • Collaborate with data governance, cloud service providers, visualization, and IT/business teams to deliver analytics solutions.
  • Provide troubleshooting, analysis, and production support for existing solutions, including enhancements.

Skills:

  • Strong SQL, data modeling, data warehouse, and OLAP concepts.
  • Experience with Azure Data Lake Storage, Azure Synapse Analytics, Azure Spark Pools, Databricks Notebook, Cosmos DB, CDC tools, Python, DevOps, and CI/CD.
  • Familiarity with data integration tools (e.g., Qlik Replicate) and data modeling tools (e.g., Erwin) is a plus.
  • Familiarity with data lake medallion architecture and unified data models.
  • Familiarity with contextualization products (e.g., Cognite) is a plus.
  • Experience with visualization tools such as Microsoft Power BI and Tableau.
  • Familiarity with Scaled Agile, DevOps, Scrum, and ITIL concepts.
  • Experience with Microsoft SSIS, SSRS, and SSAS is a plus.

Competencies:

  • Strong communication and presentation skills, able to engage with technical and non-technical stakeholders across IT and business teams.
  • Collaboration & Building Partnerships โ€“ Skilled at developing and leveraging relationships across groups to deliver results.
  • Drive for Results โ€“ Takes ownership and proactively acts to achieve objectives and goals.
  • Continuous Improvement โ€“ Identifies opportunities, generates ideas, and implements solutions to improve processes and conditions.