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Weekend Data Science Jobs in Burlington, NC (NOW HIRING)

Element Materials Technology

Data Processor

Elon, NC · On-site

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of the operations team in one of the various laboratories across Element, the Data Processer position ...

Element Materials Technology

Data Processor

Elon, NC

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of the operations team in one of the various laboratories across Element, the Data Processer position ...

Technimark

Sustainability Data Analyst

Asheboro, NC · On-site +1

The Sustainability Data Analyst will support the administration and continuous improvement of Technimark's sustainability data systems and reporting infrastructure, including Sweep, Schneider ...

Pwc

AI Engineer

Greensboro, NC · On-site

$50K - $112K/yr

Computer and Information Science, Computer Engineering, Computer Management, Management Information Systems, Information Technology - At least one of the following: Certifications aligned to data ...

UNC Health

CT Technologist II

Efland, NC

$35.87 - $51.57/hr

... data. Works in collaboration with various teams (Trauma, Stroke, Cardiology) to obtain necessary ... Weekend Location of Job: US:NC:Hillsborough Exempt From Overtime: Exempt: No This is a State ...

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All JobsData Science JobsWeekend Data Science JobsWeekend Data Science Jobs in Burlington, NC

Weekend Data Science information

See Burlington, NC salary details

$31.3K

$102.5K

$164K

How much do weekend data science jobs pay per year?

As of Sep 4, 2026, the average yearly pay for weekend data science in Burlington, NC is $102,458.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,200.00 and $113,500.00 per year, depending on experience, location, and employer.

What is a weekend data science?

A Weekend Data Science job typically refers to a part-time or contract-based data science position where the primary work hours are on weekends. These roles are ideal for students, professionals seeking extra income, or those looking to gain experience in the data science field without committing to a full-time weekday schedule. Weekend data scientists analyze data, build models, and generate insights just like full-time data scientists but with flexible or reduced hours that fit around a weekend schedule.

What skills and qualifications are needed to thrive as a weekend data scientist?

To thrive as a Weekend Data Scientist, you need strong analytical skills, proficiency in statistics, and expertise in programming languages such as Python or R, often supported by a degree in a quantitative field. Familiarity with data analysis tools like SQL, machine learning libraries (e.g., scikit-learn, TensorFlow), and data visualization platforms (e.g., Tableau) is typically required. Excellent time management, problem-solving ability, and effective communication are crucial soft skills for delivering insights on tight weekend deadlines. These skills ensure that data-driven decisions can be made efficiently and accurately, even within limited time frames.

What challenges do data scientists working on weekends face, and how can they be managed?

Data scientists working weekend shifts often encounter challenges such as limited access to colleagues for collaboration or support, since many team members may not be available outside standard business hours. Additionally, urgent issues or data anomalies may require quick, independent problem-solving. Proactive communication with weekday teams, thorough documentation, and setting up clear protocols for handoffs can help manage these challenges and ensure smooth workflow continuity.

What is the difference between Weekend Data Science vs Part-Time Data Analyst?

AspectWeekend Data SciencePart-Time Data Analyst
CredentialsTypically requires a degree in data science, statistics, or related fieldOften requires a degree or relevant experience in data analysis or related fields
Work EnvironmentProject-based, flexible hours, often remote or on-site during weekendsFlexible hours, may be remote or on-site, often with less technical complexity
Industry UsageUsed in tech, finance, healthcare, and startups for specialized projectsCommon in retail, marketing, and small businesses for routine data tasks

Weekend Data Science roles focus on complex data projects requiring advanced skills, often during weekends, while Part-Time Data Analysts handle routine data tasks with less technical depth, offering flexible schedules. Both roles serve different needs but share a focus on data work outside standard hours.

Do weekend data scientists work on weekends?

Weekend data scientists may work on weekends depending on project deadlines, company policies, or client needs. Typically, data science roles involve regular weekday hours, but some positions require weekend work, especially in roles with flexible or project-based schedules. It is important to clarify work hours during the hiring process or in job descriptions.

What are the most commonly searched types of Data Science jobs in Burlington, NC?

The most popular types of Data Science jobs in Burlington, NC are:

What are popular job titles related to Weekend Data Science jobs in Burlington, NC?

For Weekend Data Science jobs in Burlington, NC, the most frequently searched job titles are:

What job categories do people searching Weekend Data Science jobs in Burlington, NC look for?

The top searched job categories for Weekend Data Science jobs in Burlington, NC are:

What cities near Burlington, NC are hiring for Weekend Data Science jobs?

Cities near Burlington, NC with the most Weekend Data Science job openings:

Weekend Data Science jobs near you

Senior Data Reporting Analyst

Fox Point Recruitment LLC

Greensboro, NC • On-site

$109.40 - $160.70/hr

Other

Posted 3 days ago

New

Key responsibilities

  • Maintain, enhance, and scale enterprise reporting and analytics across contact center platforms, emphasizing NICE CXone.

  • Lead the configuration, setup, and support of network/telephony hardware, software, VoIP, and ACD call flows.

  • Serve as a Tier 1-3 technical escalation point and mentor for junior team members and support staff.

Job description

Senior Data Reporting Analyst (NICE CXone)

Location: Greensboro, NC (100% Onsite)

Industry: Healthcare

Employment Type: Full-time / Standard

Job Level: Individual Contributor

Compensation: $109,400 – $160,700 / year + Annual Incentive

Relocation / Visa Sponsorship: Not Available

Role Summary

The Senior Data Reporting Analyst plays a vital role in supporting, maintaining, and elevating data, reporting, and analytics capabilities across enterprise contact center platforms, with a strong core focus on NICE CXone.

In addition to driving contact center performance analytics and reporting frameworks, this role leads the configuration, installation, and support of network, telephony, VoIP systems, and Automatic Call Distribution (ACD) workflows. Serving as a senior technical escalation point, you will bridge the gap between IT, network/telephony operations, and business stakeholders—ensuring contact center data is accurate, reliable, and actionable for leadership and regulatory needs.

Key ResponsibilitiesContact Center Data, Reporting & Analytics
  • Maintain, enhance, and scale enterprise reporting and analytics across contact center platforms, emphasizing NICE CXone.
  • Partner with operations, engineering, and business teams to translate complex requirements into scalable reporting solutions and dashboards.
  • Ensure high data quality and accuracy across all ACD reporting, telephony metrics, and performance pipelines.
  • Conduct root cause analysis and resolve complex data and reporting issues.
Telephony & Network Infrastructure Leadership
  • Lead the configuration, setup, and support of network/telephony hardware, software, VoIP, and ACD call flows.
  • Monitor and evaluate LAN/WAN capacity reports, telephony metrics, and infrastructure health against standard operating procedures.
  • Manage vendor relationships and direct external technical resources to support network and telephony systems.
  • Lead complex troubleshooting efforts, identifying and resolving hardware, software, voice, and data issues.
Cross-Functional Leadership & Support
  • Serve as a Tier 1–3 technical escalation point and mentor for junior team members and support staff.
  • Facilitate business-specific projects by creating work plans, coordinating resources, and managing technical risks.
  • Contribute to and expand the enterprise technical knowledge repository and documentation standards.
  • Ensure high operational availability, capacity, and performance aligned with key performance indicators (KPIs).
Qualifications & RequirementsMinimum Qualifications
  • Experience:
    • Minimum 8 years of IT experience in a support or operations environment (11 years required if without a Bachelor's degree).
    • Minimum 4 years of hands-on experience in network/telephony system and user support.
    • Minimum 2 years in a leadership or lead role working directly with IT or operational teams.
  • Core Technology Expertise: Hands-on experience with NICE CXone contact center solutions and ACD systems.
  • Education: Bachelor’s degree in Computer Science, Engineering, Business, Healthcare, or a related field (or equivalent work experience substituted year-for-year).
Core Competencies & Technical Skills
  • Must-Have: Deep experience with NICE CXone configuration, reporting, and analytics.
  • Strong domain experience in networking and telephony systems (VoIP, ACD call flows, LAN/WAN metrics).
  • Proven capability in Tier 3 incident resolution, root cause analysis, and complex vendor oversight.
  • Outstanding cross-functional communication and stakeholder management skills within a healthcare setting.
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