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Freelance Python Data Analysis Jobs in Tennessee

Principal Data Engineer

Goodlettsville, TN · On-site

$107K - $129K/yr

Python, SQL, GoLang) • Knowledge with SQL database design concepts and Data Models • Great numerical and analytical skills • Degree in Computer Science, IT, or similar field; a Master's is a ...

Data Analyst II

Lebanon, TN · On-site

$70 - $90/hr

Utilize tools such as SQL, Excel, and Power BI for analysis and visualization* Validate data ... Familiar with analytical languages such as Python or R* Familiar with business intelligence tools ...

Utilize tools such as SQL, Excel, and Power BI for analysis and visualization * Validate data ... Familiar with analytical languages such as Python or R * Familiar with business intelligence tools ...

Utilize tools such as SQL, Excel, and Power BI for analysis and visualization * Validate data ... Familiar with analytical languages such as Python or R * Familiar with business intelligence tools ...

Build end-to-end analytical solutions using tools like Python, R, SQL, Power BI/Tableau, and cloud platforms (AWS, Snowflake). * Collaborate with IS/IT and data engineering teams to prepare data ...

Proficient in data management using tools such as Power BI, SQL, Excel, and Python and Microsoft ... Utilize Microsoft Copilot and AI-enabled tools to accelerate reporting, analysis, and solution ...

New

Data Scientist

Franklin, TN · On-site

$90 - $130/hr

Experience in designing effective data models, trend forecasts, and visualizations of analytics.* Proficient in Big Data management. Proficient in statistics. Proficiency in SQL / Python required.

Experience in designing effective data models, trend forecasts, and visualizations of analytics. * Proficient in Big Data management. Proficient in statistics. Proficiency in SQL / Python required.

Associate, Data Architect

Nashville, TN · On-site

$74K - $138K/yr

... and analytical requirements Build new Power BI dashboards and reports from scratch as well as ... Python, or Excel macros/VBA Contribute to a team culture of openness, knowledge sharing, and ...

New

Showing results 41-60

Freelance Python Data Analysis information

What is freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.

What are the key skills and qualifications needed to thrive as a freelance Python data analyst?

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.

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 Freelance Python Data Analysis jobs in Tennessee?

For Freelance Python Data Analysis jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Freelance Python Data Analysis jobs in Tennessee look for?

The top searched job categories for Freelance Python Data Analysis jobs in Tennessee are:

What cities in Tennessee are hiring for Freelance Python Data Analysis jobs?

Cities in Tennessee with the most Freelance Python Data Analysis job openings:

Infographic showing various Freelance Python Data Analysis job openings in Tennessee as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 92% In-person, 4% Hybrid, and 4% Remote job distribution.

Principal Data Engineer

Dollar General

Goodlettsville, TN • On-site

$107K - $129K/yr

Full-time

Posted 24 days ago


Dollar General rating

4.0

Company rating: 4.0 out of 10

Based on 4,615 frontline employees who took The Breakroom Quiz

39th of 39 rated national retailers


Job description

Company Overview
A Principal Data Engineer is responsible for expanding and optimizing data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams. This role involves building and optimizing data systems from the ground up, ensuring that data delivery architecture is consistent throughout ongoing projects.
The Principal Data Engineer supports software developers, database architects, data analysts, and data scientists on data initiatives, ensuring optimal data delivery and architecture. This position requires expertise in data pipeline building and data wrangling, with a focus on enhancing data systems for improved efficiency and performance.
Job Details
Duties & Responsibilities: What major responsibilities does this position have and what percentage of time is spent on completing them? (Typically 5 - 7)
• Develop, construct, test, and maintain data architectures: responsible for creating and maintaining optimal data pipeline architectures necessary for the organization's operational efficiency.
65%
• Collaborate with data scientists and other stakeholders: expected to collaborate with data scientists, business analysts, IT professionals, and management to assist with data-related technical issues and support their data infrastructure needs.
10%
• Assemble and prepare large, complex data sets to meet functional business requirements: required to work with different teams to understand their data needs and ensure those needs are met.
10%
• Build analytics tools: This will involve developing tools that utilize the data pipeline to provide actionable insights into key business performance metrics. 5%
• Maintain data security and compliance: ensure systems meet industry practices and business requirements for data privacy and protection. 5%
• Identify, design, and implement internal process improvements: This includes optimizing data delivery, automating manual processes, and re-designing infrastructure for greater scalability. 3%
• Keep up-to-date with the latest technology trends: Continually learn and adapt to new technologies that could improve existing systems 2%
Knowledge, Skills and Abilities (KSAs): What KSAs are required to perform this job?
• Hands on experience with programming languages (e.g. Python, SQL, GoLang)
• Knowledge with SQL database design concepts and Data Models
• Great numerical and analytical skills
• Degree in Computer Science, IT, or similar field; a Master's is a plus
• Data engineering certification (e.g., Cloud Engineer, Data Engineer) is a plus
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including MongoDG, Postgres and/or Cassandra.
• Experience with data pipeline and workflow management tools: Airflow, Dataflow, Composer, etc.
• Experience with GCP, Snowflake, Azure cloud services: BQ, Dataflow, Redshift
• Experience with stream-processing systems: Kafka, Spark-Streaming, etc.
• Good Knowledge of software engineering principles, methodologies and current best practices.
• Able to multitask and shift priorities as needed.
• Able to use BI Tools for data analysis and data QA.
Qualifications
Work Experience &/or Education: What are the minimum education and/or experience requirements necessary to perform this job?
• 9+ years experience and a degree in information technology or computer science with additional vendor-specific certification.
• BS or MS degree in Computer Science or a related technical field
• 4+ years of Python or Java development experience
• 4+ years of SQL experience (No-SQL experience is a plus)
• 4+ years of experience with schema design and dimensional data modeling
• Ability in managing and communicating data warehouse plans to internal clients
• Experience designing, building, and maintaining data processing systems
• Experience working with a cloud platform such as Snowflake / Azure or Databricks

What Dollar General employees say

Pay

Benefits

Hours and flexibility

Workplace

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About Dollar General

Sourced by ZipRecruiter

What started as a single store is now a 20+ billion dollar Fortune 119 company. With 140,000+ employees and counting, we’re growing fast and so can you. There are endless opportunities for you, including award-winning training programs and career paths in retail, distribution, transportation or corporate. The possibilities are endless!

Industry

Retail

Company size

10,000+ Employees

Headquarters location

Goodlettsville, TN, US