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Senior Python Data Analysis Jobs in Tennessee (NOW HIRING)

... depth data analysis using SQL to identify trends, validate datasets, and support pricing and ... and Python or R Participate in rebuilding GLMs for core products and incorporate updated ...

Strong proficiency in Python or R for data analysis, model development, and production code ... Experience in healthcare, senior housing, assisted living, or skilled nursing environments

Required : • 4+ years of professional experience in data analysis, business intelligence, or analytics engineering • Strong SQL skills and proficiency in Python (pandas, scikit-learn, or similar ...

Strong SQL skills and proficiency in Python (pandas, scikit-learn, or similar) or R for data analysis and modeling * Hands-on experience building dashboards and visualizations with Tableau, Power BI ...

Sr. Data Analyst

Knoxville, TN · On-site +1

$82.10K - $103.60K/yr

You will serve as a key link between Regal's data infrastructure and commercial insights ... You have strong SQL skills and experience using Python in notebook environments for analytical ...

Contract Role | Senior Data Scientist in Chattanooga TN 2 years contract pay Range: $60 -86/hour on ... Ultimately responsible for developing data analytics and visualization products that provide ...

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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 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 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 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 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:
Financial & Data Analyst

Financial & Data Analyst

Meharry Medical College

Nashville, TN • On-site

Full-time

Posted 8 days ago


Job description

The Financial & Data Analyst supports financial reporting and strategic planning by delivering high-level financial and data analysis that informs executive decision-making. This role evaluates financial performance, operational data, and emerging trends, translating complex information into clear, actionable insights. The financial and data analyst partners with leadership to enhance financial outcomes and strategic initiatives while ensuring the accuracy, integrity, and transparency of data across the organization.
Essential Functions (Principal Duties and Job Responsibilities):
Financial Reporting & Analysis
  • Analyze financial and operational data to identify trends, performance drivers, and strategic insights.
  • Prepare monthly, quarterly, and annual financial reports for leadership
  • Develop and maintain financial dashboards, automated reports, and data visualization tools.
  • Monitor key performance indicators (KPIs) and financial metrics
  • Support budget development, forecasting, and long-range financial planning
  • Assist with internal and external reporting requirements

Data Analysis & Visualization
  • Collect, clean, and analyze large datasets from multiple sources
  • Develop dashboards, models, and reports to communicate insights clearly
  • Identify trends, risks, and opportunities using quantitative analysis
  • Extract, validate, and integrate data from financial systems, ERP platforms, and reporting databases.
  • Support forecasting models using historical and predictive data analysis.

Strategic & Operational Support
  • Partner with department leaders to support operational and financial goals
  • Conduct cost-benefit, ROI, and scenario analyses
  • Support business cases, grants, contracts, or investment decisions
  • Provide ad hoc analysis to support leadership initiatives

Systems & Process Improvement
  • Improve reporting efficiency through automation, data transformation, and system enhancements.
  • Ensure data integrity, consistency, and governance across financial reporting processes.
  • Support implementation and optimization of financial systems and tools
  • Partner with finance, IT, and institutional leadership to translate data into actionable recommendations.
  • Document processes and maintain analytical models

Knowledge, Skills and Abilities Required:
  • Experience working with large datasets and financial data; Advanced spreadsheet and data analysis skills
  • Experience with reporting or visualization tools (e.g., Power BI, Tableau, or similar platforms)
  • Ability to extract and analyze data from financial systems or databases
  • Strong analytical and technical problem-solving skills
  • Ability to translate data into actionable insights
  • Exceptional analytical and financial modeling skills
  • Strong written communication and presentation skills; comfortable and experienced

Knowledge, Skills, Abilities Preferred:
  • Strong proficiency in SQL, data modeling, or automation tools
  • Expertise in building dashboards or automated reporting solutions
  • Strong proficiency in supporting budgeting or financial planning processes, financial reporting, and forecasting
  • Expertise in financial software systems such as WorkDay, Adaptive Planning, or other enterprise resource planning (ERP) systems
  • Advanced proficiency in Microsoft Excel and other financial analysis tools

Education and Experience Required:
  • Bachelor's degree in Finance, Accounting, Economics, Data Analytics, or related field
  • 3-5 years of experience in financial analysis, data analysis, or related roles
  • Strong analytical, problem-solving, and critical-thinking skills
  • Advanced proficiency in Excel; experience with financial modeling
  • Experience working with large datasets and multiple data sources

Education and Experience Preferred:
  • Master's degree (MBA, MS Finance, Data Analytics, or similar)
  • 6-10 years of progressively responsible experience in financial modeling and forecasting (scenario analysis, a plus)
  • Experience in complex organizations (universities, healthcare systems, or large nonprofits)
  • Proficiency in tools such as Power BI, Tableau, SQL, Python, or R
  • Knowledge of ERP systems (Workday, PeopleSoft, Oracle, SAP, etc.)
  • Experience supporting executive leadership or strategic planning initiatives

Licensure, Certification or Registration Required:
Licensure, Certification or Registration Preferred:
This job description reflects the general duties and responsibilities necessary to describe the principal functions of the job, as identified, and shall not be considered an exhaustive list of job responsibilities which may be inherent in the job. To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed are representative of the knowledge, skill, and/or ability required. The responsibilities listed may be subject to change at any time and individuals may be asked to perform duties outside of their regular responsibilities to support the ongoing operations and mission Meharry Medical College and its facilities.