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Senior Python Data Analysis Jobs in Tennessee (NOW HIRING)

Analyze datasets tied to contractor spend , workforce signals, and operational performance ... Present results in a way that's clear, structured, and actionable for senior audiences Data Work ...

Sr. Data Analyst

Memphis, TN ยท On-site +1

$76K - $96K/yr

... data/text mining, and analysis to enable informed business decisions ... Gains insight into key business problems and deliverables by applying statistical analysis ...

Perform in-depth analysis and act as subject matter expert for assigned raw data sets. * Solid ... Experience with AWS and Python is preferred. Stifel is more than 130 years old and still thinking ...

Senior data scientist. * Research various analytical approaches * Recommend and develop ... Python, R, SQL, Hive, Spark * Statistical analysis: To understand and work around possible ...

Position: Senior Data Scientist The Senior Data Scientist will be responsible for owning the ... analyses, preferably within the healthcare claims domain, including experience using Python for ...

Build and leverage T-SQL queries to fulfill ad-hoc data requests or support data analysis needs ... Experience with AWS and Python is preferred. About Stifel Stifel is more than 130 years old and ...

Build and leverage T-SQL queries to fulfill ad-hoc data requests or support data analysis needs ... Experience with AWS and Python is preferred. About Stifel Stifel is more than 130 years old and ...

Senior Data Engineer

Nashville, TN ยท On-site

$102K - $139K/yr

This role is ideal for a data engineer with experience in Snowflake, Fivetran, dbt, Python, and SQL ... Work closely with data analysts, engineers, and business teams to understand data requirements and ...

Senior Data Engineer

Nashville, TN ยท On-site

$102K - $139K/yr

This role is ideal for a data engineer with experience in Snowflake, Fivetran, dbt, Python, and SQL ... Work closely with data analysts, engineers, and business teams to understand data requirements and ...

... python), data analysis, and software development for GIS applications, including the maintenance of existing systems or research and development for future enhancements as well as create new ...

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Senior Python Data Analysis information

What are the key skills and qualifications needed to thrive as a Senior Python Data Analyst, and why are they important?

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

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

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are some common challenges Senior Python Data Analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is a Senior Python Data Analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.
What are the most commonly searched types of Python Data Analysis jobs in Tennessee? The most popular types of Python Data Analysis jobs in Tennessee are:
What are popular job titles related to Senior Python Data Analysis jobs in Tennessee? For Senior Python Data Analysis jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Senior Python Data Analysis jobs in Tennessee look for? The top searched job categories for Senior Python Data Analysis jobs in Tennessee are:
Data Scientist

Data Scientist

Patriot Talent Solutions

Maryville, TN โ€ข On-site

Other

Posted 12 days ago


Job description

Overview

Weโ€™re partnering with a client to add a contract Data Scientist (12 months) to support stakeholders through dashboards, analytics, and data-driven insights. The focus is on building tech-facing reporting that leaders can use to make decisionsโ€”starting with initiatives like contractor spend visibilityemployee engagement survey analyticssoftware licensing insights, and network traffic trend/pattern analysis.

What You''ll Be Doing

Analytics, Modeling & Business Insight

  • Build analytical models that support stakeholder planning and tech-related initiatives
  • Analyze datasets tied to contractor spend, workforce signals, and operational performance
  • Surface trends, outliers, and opportunities, and package findings for leadership consumption

Dashboards & Reporting (Tableau)

  • Create and enhance interactive Tableau dashboards for stakeholders
  • Turn survey data into meaningful metrics and narratives, not just charts
  • Present results in a way thatโ€™s clear, structured, and actionable for senior audiences

Data Work (SQL) + Partnering with Data/Engineering

  • Develop and tune advanced SQL for large, complex datasets
  • Collaborate across teams to ensure reporting is built on consistent definitions and reliable data
  • Contribute to making analytics more scalable (repeatable pipelines, cleaner datasets, improved accessibility)

Advanced Analytics / ML (as needed)

  • Use statistical and machine learning approaches when they add value (forecasting, segmentation, predictive indicators)
  • Leverage Python to wrangle data, automate workflows, and support modeling efforts

Stakeholder Collaboration

  • Work closely with stakeholders, and partner with Finance and HR as needed
  • Translate business questions into metrics, analysis plans, and practical deliverables
  • Communicate confidently with both technical and non-technical stakeholders

What Weโ€™re Looking For (Must Haves)
  • 5+ years in data analytics / data science roles
  • Strong, hands-on SQL experience (comfortable with complex queries and performance considerations)
  • Proven experience building dashboards in Tableau (end-to-end ownership)
  • Background in data modeling and analytical problem solving
  • Ability to explain complex findings to non-technical audiences
  • Experience working with spend, workforce, or operational datasets (any combination)

Preferred / Nice to Have
  • Strong Python (pandas, NumPy, scikit-learn, etc.)
  • Applied experience with predictive modeling / machine learning in real projects
  • Experience operating in fast-moving, cross-functional environments
Equal Opportunity Employer/Veterans/Disabled