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Part Time Data Analyst Jobs in Spring Hill, TN (NOW HIRING)

Tractor Supply Company

Sr. Analyst, HR Analytics

Brentwood, TN · On-site

$68K - $89K/yr

Construct complex data sets, indexes, measures, etc. to enable appropriate analysis while enabling ... For full-time and eligible part-time TSC and Petsense Team Members. We care about what you care ...

Tractor Supply Company

Analyst, Benefits

Brentwood, TN · On-site

Move TMAF funds from TMAF account to general assets. 4. Coordinate transfer of data to external ... For full-time and eligible part-time TSC and Petsense Team Members. We care about what you care ...

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All JobsData Analyst JobsPart Time Data Analyst JobsPart Time Data Analyst Jobs in Spring Hill, TN

Part Time Data Analyst information

See Spring Hill, TN salary details

$32K

$77.7K

$127.9K

How much do part time data analyst jobs pay per year?

As of Aug 9, 2026, the average yearly pay for part time data analyst in Spring Hill, TN is $77,706.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,800.00 and $91,200.00 per year, depending on experience, location, and employer.

What is a part time data analyst?

Part time data analysts are professionals who work fewer hours than a standard full-time schedule, typically analyzing and interpreting data to help organizations make informed decisions. They use statistical tools and software to process data, identify trends, and generate reports. Part time positions are ideal for those seeking flexible work arrangements, such as students, parents, or individuals with other commitments. Despite working fewer hours, part time data analysts are expected to have strong analytical skills and proficiency in data management tools. Their contributions are valuable to businesses seeking data-driven insights without the need for a full-time role.

What is the difference between Part Time Data Analyst vs Data Scientist?

AspectPart Time Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related field; some roles may require certifications like Microsoft Excel or SQLBachelor's or master's degree in data science, statistics, or related fields; often requires programming skills and certifications
Work EnvironmentTypically in office settings, supporting specific projects or departments, with flexible or part-time hoursUsually in tech or research environments, working on complex models and large datasets, often full-time
Employer & Industry UsageUsed across industries like finance, marketing, healthcare for data reporting and analysisCommon in tech, finance, and research sectors for developing predictive models and advanced analytics

While both roles involve data analysis, Part Time Data Analysts focus on supporting business decisions with basic data tasks, often on a flexible schedule. Data Scientists handle complex modeling and predictive analytics, typically in full-time roles. The choice depends on your skills, experience, and career goals.

Are part time data analyst jobs still in demand?

Part-time data analyst jobs remain in demand as organizations seek flexible staffing options to analyze data, generate insights, and support decision-making. Skills in tools like Excel, SQL, and data visualization software are valuable, and remote or flexible schedules are increasingly common in this field.

What does a part time data analyst do?

A part-time data analyst collects, organizes, assesses, and reviews information. In this career, you review data to ensure that it is accurate and to identify trends, provide analysis of a market or a company’s operations and processes, or meet other needs of a company or client. Data analysts typically create reports that explain their analysis. Your responsibilities also include helping to develop and deploy systems and tools to collect, extract, and categorize data so that you can analyze it more efficiently. As a part-time employee, you perform your duties for less than 40 hours per week.

What are the key skills and qualifications needed to thrive as a part time data analyst, and why are they important?

To excel as a Part Time Data Analyst, you need proficiency in data analysis, statistical methods, and a relevant degree such as mathematics, statistics, or computer science. Familiarity with technical tools like Microsoft Excel, SQL, and data visualization platforms such as Tableau or Power BI is typically required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting and presenting data insights. These competencies enable accurate, actionable analyses that support decision-making, even within limited working hours.

How does a part time data analyst typically collaborate with full time team members to ensure project continuity?

As a part-time data analyst, you’ll often work closely with full-time analysts, project managers, and business stakeholders to maintain seamless project progress. Regular check-ins, clear documentation of your analyses, and using collaborative tools like shared dashboards or project management software are key practices. Flexibility and strong communication skills are essential, as you may need to align your schedule with team meetings or coordinate handoffs to ensure your work integrates smoothly with ongoing projects.
More about Part Time Data Analyst jobs
What are the most commonly searched types of Data Analyst jobs in Spring Hill, TN? The most popular types of Data Analyst jobs in Spring Hill, TN are:
What job categories do people searching Part Time Data Analyst jobs in Spring Hill, TN look for? The top searched job categories for Part Time Data Analyst jobs in Spring Hill, TN are:
What cities near Spring Hill, TN are hiring for Part Time Data Analyst jobs? Cities near Spring Hill, TN with the most Part Time Data Analyst job openings:
Part Time Data Analyst jobs near you
Infographic showing various Part Time Data Analyst job openings in Spring Hill, TN as of July 2026, with employment types broken down into 100% Part Time. Highlights an 87% In-person, 10% Hybrid, and 3% Remote job distribution, with an average salary of $77,706 per year, or $37.4 per hour.

Sr Engineer, Data Prsnliztn

Tractor Supply Company

Brentwood, TN • On-site

$108K - $130K/yr

Full-time, Part-time

Medical, Dental, Vision, Life

Re-posted 18 days ago

Tractor Supply rating

5.7

Company rating: 5.7 out of 10

Based on 1,310 frontline employees who took The Breakroom Quiz

457th of 731 rated retailers

Job description

Overall Job Summary

The Senior Data Engineer for Data Personalization and Analytics is pivotal in executing our customer data personalization strategy using advanced analytics and engineering techniques. Specializing in SQL, Python, Adobe suite, Alteryx, and Azure, this role is at the heart of our data engineering efforts to model insights and support targeted campaigns. The Senior Data Engineer will also take a leading role in managing our digital analytics across various channels, ensuring data-driven decisions that enhance customer satisfaction and business growth.

Essential Duties and Responsibilities (Min 5%)
  • Develop and maintain scalable data/deployment pipelines, integrating various data sources using SQL, Python, and Alteryx, ensuring high data quality and accessibility.
  • Work closely with analytics and business teams to assist with data-related technical issues and support data infrastructure needs.
  • Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs.
  • Manage the deployment of analytics solutions on the Adobe platform.
  • Collaborate with cross-functional teams to align data personalization efforts, reporting measurable outcomes from digital and social campaigns.
  • Contribute to the management of the budget and resources dedicated to data personalization projects.
  • Foster an environment of continuous learning and development within the data analytics and personalization team.
     
Required Qualifications

Experience: 5+ years of experience in a data engineering role, with a strong background in SQL, Python, and data pipeline development.

Education:  Bachelor's degree in Computer Science, Engineering, or related field.

High Demand IT Specialized skills:  

  • Expertise in Python programming , SQL,  Alteryx and Tableau.
  • Experience with personalization suits like Adobe Campaign, Adobe Target, AEM.
  • Experience with cloud-based analytical tools (MS Azure, Snowflake, or similar).
     
Preferred knowledge, skills or abilities
  • Direct experience with large-volume customer data sets.
  • Experience connecting multiple disparate data sources in the course of analysis.
  • Strong analytical and problem-solving skills, with the ability to translate business objectives into analytical projects and solutions.
     
Working Conditions
  • Normal office working conditions
Physical Requirements
  • Sitting
  • Standing (not walking)
  • Walking
  • Kneeling/Stooping/Bending
  • Reaching overhead
  • Lifting up to 20 pounds
Disclaimer

This job description represents an overview of the responsibilities for the above referenced position.  It is not intended to represent a comprehensive list of responsibilities.  A team member should perform all duties as assigned by his/ her supervisor.

Company Info

At Tractor Supply and Petsense by Tractor Supply, our Team Members are the heart of our success. Their dedication, passion, and hard work drive everything we do, and we are committed to supporting them with a comprehensive and accessible total reward package. We understand the evolving needs of our Team Members and their families, and we strive to offer meaningful, competitive, and sustainable benefits that support their well-being today and in the future.
Our benefits extend beyond medical, dental, and vision coverage, including company-paid life and disability insurance, paid parental leave, tuition reimbursement, and family planning resources such as adoption and surrogacy assistance, for all full-time Team Members and all part-time Team Members. Part time new hires gain eligibility for TSC Benefits by averaging at least 15 hours per week during their 90-day lookback period. The lookback period starts the first of the month following the date of hire. If the 15-hour requirement was met, the benefits eligibility date will be the first day of the month following 4 months of continuous service.
Please visit this link for more specific information about the benefits and leave policies applicable to the position you're applying for.
 

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