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Part Time Data Analyst Jobs in High Point, NC (NOW HIRING)

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Part Time Data Analyst information

See High Point, NC salary details

$30.3K

$73.7K

$121.3K

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

As of Sep 3, 2026, the average yearly pay for part time data analyst in High Point, NC is $73,730.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,800.00 and $86,500.00 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 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.

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 ways to analyze data for decision-making. Skills in Excel, SQL, and data visualization tools like Tableau are valuable, and remote or flexible schedules are increasingly available in this field.
More about Part Time Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in High Point, NC?

The most popular types of Data Analyst jobs in High Point, NC are:

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For Part Time Data Analyst jobs in High Point, NC, the most frequently searched job titles are:

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The top searched job categories for Part Time Data Analyst jobs in High Point, NC are:

What cities near High Point, NC are hiring for Part Time Data Analyst jobs?

Cities near High Point, NC 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 High Point, NC as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $73,730 per year, or $35.4 per hour.

Sports Stats Specialist | Part-Time | Greensboro Coliseum Complex

AEG

Greensboro, NC • On-site

$15 - $20/hr

Part-time

Retirement

Posted 6 days ago

Job description

In order to be considered for this role, after clicking "Apply Now" above and being redirected, you must fully complete the application process on the follow-up screen.
Overview
A Sports Stats Specialist is responsible for collecting, analyzing, and reporting statistical data for sports teams, athletes, and events. This role involves maintaining accurate records, interpreting data trends, and providing detailed statistical reports to support team strategies, media coverage, and fan engagement. This position is ideal for individuals with a passion for sports and a keen interest in leveraging data to enhance team performance and fan engagement. The Sports Stats Specialist plays a crucial role in the success of sports teams by providing the analytical insights needed to make informed decisions.
This role will pay an hourly rate of $15.00 - $20.00.
Benefits for Part-Time roles: 401(k) Savings Plan and 401(k) matching.
This position will remain open until November 27, 2026.
Responsibilities
  • Data Collection: Gather real-time data during games and events, including player performance metrics, team statistics, and game outcomes.
  • Data Analysis: Analyze collected data to identify trends, patterns, and insights that can inform team strategies, player development, and performance improvements.
  • Reporting: Create detailed statistical reports and summaries for coaches, players, media, and other stakeholders.
  • Present findings in a clear and concise manner.
  • Database Management: Maintain and update statistical databases, ensuring accuracy and completeness of all records.
  • Software Utilization: Use specialized software and tools to record and analyze sports statistics.
  • Stay updated on the latest technology and methods in sports analytics.
  • Collaboration: Work closely with coaches, analysts, and other team staff to provide data-driven insights and support strategic decision-making.
  • Quality Control: Ensure the accuracy and reliability of all statistical data by conducting thorough checks and validations.
  • Research: Stay informed about industry trends, new statistical methods, and advancements in sports analytics.
  • Conduct research to enhance the quality and scope of statistical analysis.
  • Game Preparation: Prepare pre-game statistical packages and post-game reports, including player statistics, team performance metrics, and historical comparisons.
  • Compliance: Ensure all data collection and reporting activities comply with league regulations and standards.
  • Perform all other duties and responsibilities as assigned.

Qualifications
  • Education: High School Diploma or GED.
  • Experience: Previous experience in sports analytics, statistics, or a related role is preferred.
  • Skills: Strong analytical and problem-solving skills.
  • Proficiency in statistical software and tools (e.g., Excel, R, SAS, SPSS).
  • Excellent attention to detail and accuracy.
  • Strong communication skills.
  • Ability to work under pressure and meet tight deadlines.
  • Knowledge of various sports and their specific statistical requirements.
  • Attributes: Passion for sports and data analytics.
  • Ability to work independently and as part of a team.
  • Strong organizational and time management skills.
  • Flexibility to work irregular hours, including evenings, weekends, and holidays, depending on the sports schedule.
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About AEG

Sourced by ZipRecruiter

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Saint Louis, MO, US

Year founded

1992

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