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

Job Summary We are seeking a Data Analyst to analyze large datasets and deliver actionable insights that improve product quality, operational performance, and customer experience. The ideal candidate ...

Data Analyst

Greensboro, NC · On-site

$50 - $59/hr

Data Analyst Location: Greensboro, NC Zip Code: 27409 Duration: 6+ months Pay Rate: $50 - $59/hr. Keyword's: #Greensborojobs; #DataAnalystjobs; Start Date: Immediate Contract to Hire role We provide ...

Data Analyst Location: Greensboro, NC Zip Code: 27409 Duration: 6+ months Pay Rate: $50 - $59/hr. Keyword's: #Greensborojobs; #DataAnalystjobs; Start Date: Immediate Contract to Hire role We provide ...

Data Analyst

Greensboro, NC · On-site

$43 - $48/hr

Pay Range $43hr - $48hr Requirement/Must Have: * 1+ years of experience in analytics assignments ranging from fundamental to advanced statistical techniques. * Experience in data & business value ...

Data Analyst

Greensboro, NC · On-site

$50 - $59/hr

Data Analyst Location: Greensboro, NC Zip Code: 27409 Duration: 6+ months Pay Rate: $50 - $59/hr. Keyword's: #Greensborojobs; #DataAnalystjobs; Start Date: Immediate Contract to Hire role We provide ...

Warehouse (Data) Analyst

Whitsett, NC · On-site

$30 - $32/hr

Job Title - Warehouse (Data) Analyst Location - 6540 Franz Warner Pkwy, Whitsett, NC 27377 Contract - 12 months contract (possibility to go perm) Pay Rate - $32 USD hourly on W2 Shift : 1 st Shift, M ...

New

Ideally a Data Analyst who is comfortable working with the business. Willing to settle for a strong BA with good SQL skills. * With SQL - Knowing what's in tables, SQL Server, Databricks, what is ...

Senior Data Analyst

Greensboro, NC · On-site

$74K - $92K/yr

The Senior Data Analyst builds and maintains a diverse portfolio of projects, designing and delivering data analyses, visualizations, and reports that help the County understand what's working, where ...

Warehouse Data Analyst

Whitsett, NC · On-site

$30 - $32/hr

Title: Warehouse Analyst Location: Whitsett, NC 27377 Pay rate: $32/hr on W2. Description: We're hiring a Warehouse Analyst to support warehouse operations through data analysis, reporting, and ...

Read more about apexanalytix - Quick Take The Data Analyst is responsible for acquiring and processing the data needed for our AP audits. This includes attending and/or leading meetings to discuss ...

Senior RCM Data Analyst

Burlington, NC · Hybrid

$71K - $90K/yr

Job Responsibilities Data Analysis & Research * Develop and execute large-scale analytical studies utilizing claim-level, laboratory, billing, and reimbursement data to support Revenue Cycle ...

Senior RCM Data Analyst

Burlington, NC · On-site

$71K - $90K/yr

Job Responsibilities Data Analysis & Research * Develop and execute large-scale analytical studies utilizing claim-level, laboratory, billing, and reimbursement data to support Revenue Cycle ...

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Weekend Data Analyst information

See High Point, NC salary details

$30.3K

$73.7K

$121.3K

How much do weekend data analyst jobs pay per year?

As of Jul 29, 2026, the average yearly pay for weekend 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 the difference between Weekend Data Analyst vs Part-Time Data Analyst?

AspectWeekend Data AnalystPart-Time Data Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; often some experienceSimilar credentials; may require less experience or specific certifications
Work EnvironmentTypically on-site or remote, working during weekends or specific hoursFlexible hours, can work weekdays or weekends, often remote
Employer & IndustryBusinesses needing weekend analysis, retail, healthcare, or financeVarious industries, including retail, marketing, and consulting
Search & Comparison IntentLooking for weekend-specific data rolesSeeking flexible or part-time data analysis jobs

The Weekend Data Analyst and Part-Time Data Analyst roles share similar credentials and work environments but differ mainly in scheduling. Weekend Data Analysts focus on weekend-specific hours, often for businesses needing weekend support, while Part-Time Data Analysts have flexible hours across the week. Both roles suit candidates seeking flexible work arrangements in data analysis.

What are Weekend Data Analysts?

Weekend Data Analysts are professionals who specialize in collecting, processing, and analyzing data during weekends. They often work in industries that require continuous data monitoring or reporting, such as retail, finance, or customer service. Their responsibilities include preparing reports, identifying trends, and supporting decision-making processes outside of regular business hours. This role is ideal for organizations that need real-time data analysis or have operations extending through weekends.

What Does a Weekend Data Analyst Do?

As a weekend data analyst, you work part-time and use analysis techniques to research trends and discover useful information from data. This job emphasizes getting results and creating reports from data, although the specific responsibilities of this position vary depending on the employer's needs. One of the most common duties of this job is working over the weekend to process data gained throughout the week to prepare a report summarizing the activity for that period. Companies that operate seven days a week often employ weekend data analysts to continue any data analysis tasks from earlier in the week, allowing the organization to function with no interruptions in its data analysis activities.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals transition into the field later in life. Success depends on acquiring relevant skills such as data analysis, SQL, and visualization tools, along with continuous learning and certification if needed.

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

To thrive as a Weekend Data Analyst, you need a strong background in statistical analysis, data interpretation, and a relevant degree in fields such as mathematics, statistics, or computer science. Familiarity with analytical tools like Excel, SQL, Python, or data visualization platforms such as Tableau is typically required. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for clearly presenting insights and collaborating remotely. These skills ensure timely, accurate analysis and enable data-driven decisions during weekend operations.

Do data analysts work on weekends?

Data analysts typically work during regular business hours on weekdays, but some roles may require weekend work to meet project deadlines or support 24/7 operations. Flexibility depends on the employer, industry, and specific job responsibilities, especially in roles involving real-time data monitoring or client support.

How to get a data analyst job quickly?

To secure a weekend data analyst position quickly, focus on building relevant skills such as proficiency in Excel, SQL, and data visualization tools like Tableau. Obtain certifications if possible, tailor your resume to highlight analytical experience, and apply to roles with flexible schedules or part-time options to increase your chances of rapid employment.

Is there still a demand for data analysts?

Data analysts remain in high demand across various industries due to the increasing reliance on data-driven decision making. Skills in data visualization, SQL, and statistical analysis are highly valued, and job growth is expected to continue as organizations prioritize data insights for strategic planning.

What does a typical weekend shift look like for a Weekend Data Analyst, and how do responsibilities differ from weekday analysts?

As a Weekend Data Analyst, you’ll often work independently or with a smaller team, focusing on real-time data monitoring, reporting, and rapid issue escalation. Weekend shifts can involve handling time-sensitive data tasks, supporting ongoing operations, and preparing summary reports for weekday teams. While core analytical skills remain the same, you may need to troubleshoot urgent data anomalies and ensure smooth handovers to weekday analysts. This role is ideal for individuals comfortable with autonomy and proactive communication.
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:
What are popular job titles related to Weekend Data Analyst jobs in High Point, NC? For Weekend Data Analyst jobs in High Point, NC, the most frequently searched job titles are:
What job categories do people searching Weekend Data Analyst jobs in High Point, NC look for? The top searched job categories for Weekend Data Analyst jobs in High Point, NC are:
What cities near High Point, NC are hiring for Weekend Data Analyst jobs? Cities near High Point, NC with the most Weekend Data Analyst job openings:

Full-time

Re-posted 5 days ago


Job description

Data Analyst | Greensboro, North Carolina, United States Job Summary: Data Analyst (Quality & Customer Insights) - Automotive Engineering Location: Fully Onsite - Greensboro, NC | Contract: 12 months (strong extension potential) | Schedule: First Shift, Monday-Friday About the Role Apex Systems is seeking a detail-oriented Data Analyst specializing in Quality & Customer Insights to join a leading automotive engineering client onsite in Greensboro, NC. In this high-impact role, you will leverage your data analytics expertise to drive product quality improvements, uncover actionable customer insights, and directly influence decision-making for warranty and quality issues on trucks. This is a unique opportunity to work at the intersection of data science and engineering, with strong career growth potential and hands-on exposure to large-scale automotive data environments. Responsibilities - Analyze and interpret large, complex datasets to identify trends, patterns, and actionable insights related to product quality and customer experience. - Detect emerging issues and support root cause analysis through advanced data modeling and statistical techniques. - Develop and implement analytical methodologies to improve customer satisfaction, product reliability, and operational performance. - Build interactive dashboards and data visualizations (primarily in Power BI) to communicate findings and support key business decisions. - Integrate and analyze data from multiple sources (operational, customer, service, manufacturing) to generate holistic insights. - Apply statistical and machine learning methods (classification, regression, clustering, anomaly detection) to solve business problems. - Collaborate with cross-functional teams (engineering, quality, data) ensuring alignment and driving analytics initiatives forward. - Support data structuring, modeling, and transformation for improved accessibility and usability. - Proactively identify opportunities to enhance analytics tools, workflows, and processes. - Present technical findings clearly to technical and non-technical stakeholders. Required Skills and Experience - 5+ years of experience building Power BI dashboards (data display, accuracy, scripting, and link validation). - Strong SQL skills for data extraction from multiple sources. - Proficiency in Python for analytics (or demonstrated ability and willingness to learn quickly). - Demonstrated ability to work with large datasets. - Experience using statistical tools to analyze exposure rates and assess field failure potential. - Bachelor's degree in Engineering, Computer Science, Mathematics, Statistics, or related discipline. - Automotive engineering industry experience (required) with a focus on warranty and quality data. Preferred Skills - Hands-on experience with cloud-based analytics or big data platforms. - Exposure to advanced analytics/machine learning in a production environment. - Experience with data engineering concepts or collaboration with data engineering teams. - Advanced degree in a relevant field. - Experience working with quality, product performance, or operational data. Benefits - Fully onsite role within a collaborative, cross-functional environment. - Opportunity to work directly with large-scale automotive data and critical business challenges. - Strong potential for contract extension and career advancement. - Monday-Friday first-shift schedule for work-life balance. How to Apply Ready to take your automotive data analytics career to the next level? Apply today with your updated resume highlighting your Power BI, SQL, Python, and automotive industry experience. Candidates must be local to Greensboro, NC or willing to relocate prior to start. Background check and drug screen required.

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About Indotronix

Sourced by ZipRecruiter

In 1986, Indotronix established itself in the staffing space. 22 years later, Avani entered the scene, offering consulting and technology development. Finally, in 2016, the two joined forces to begin delivering talent across all areas, from Staffing to Consulting to unique platform development.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Rochester, NY, US