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Weekend Data Analyst Jobs in Raleigh, NC (NOW HIRING)

UL Solutions is looking for an Associate Business Data Analyst to help develop data, analytics, and reporting solutions that empower stakeholders across the organization. In this role, you'll build ...

UL Solutions is looking for an Associate Business Data Analyst to help develop data, analytics, and reporting solutions that empower stakeholders across the organization. In this role, you'll build ...

UL Solutions is looking for an Associate Business Data Analyst to help develop data, analytics, and reporting solutions that empower stakeholders across the organization. In this role, you'll build ...

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting upcoming federal OPTN work, contingent upon contract award. In this role, you will transform complex ...

Description & Requirements Maximus is searching for a Data Coordination Analyst role supporting upcoming federal OPTN work, contingent upon contract award. In this role, you will transform complex ...

Data and AI Analyst Location: Cary, NC (Hybrid) Duration: Long term Technically skilled Data and AI Analyst to support the responsible and innovative use of data and artificial intelligence across ...

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Weekend Data Analyst information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

How much do weekend data analyst jobs pay per year?

As of Jul 10, 2026, the average yearly pay for weekend data analyst in Raleigh, NC is $80,333.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $94,300.00 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 Raleigh, NC? The most popular types of Data Analyst jobs in Raleigh, NC are:
What are popular job titles related to Weekend Data Analyst jobs in Raleigh, NC? For Weekend Data Analyst jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Weekend Data Analyst jobs in Raleigh, NC look for? The top searched job categories for Weekend Data Analyst jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Weekend Data Analyst jobs? Cities near Raleigh, NC with the most Weekend Data Analyst job openings:
Infographic showing various Weekend Data Analyst job openings in Raleigh, NC as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 81% Full Time, 11% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $80,333 per year, or $38.6 per hour.
Senior Enterprise Data Analyst

Senior Enterprise Data Analyst

First Citizens Bank

Raleigh, NC • On-site

$83K - $105K/yr

Full-time

Re-posted 8 days ago


First Citizens Bank rating

7.5

Company rating: 7.5 out of 10

Based on 104 frontline employees who took The Breakroom Quiz

89th of 146 rated banks


Job description

Overview
This position leads Bank initiatives that improve enterprise data quality, governance, reporting, and analytics at an advanced level of ability and technical expertise. Drives positive change across the Bank through technical innovation and continuous improvement initiatives, as well as through cross-functional partnership with other business units. Provides expert consultation to team members, the Information Technology department, and other stakeholders on strategies that achieve data management goals. May provide leadership to less experienced consultants in the work group.
Responsibilities
Data Enhancement & Analytics
  • Leads the implementation of enhancements to enterprise data quality, storage, and management within the Enterprise Data Warehouse.
  • Executes initiatives for data profiling, issue resolution, and system fixes.
  • Supports and delivers special data-focused initiatives aligned to business needs.

Business Support & Governance
  • Enforces enterprise data policies, standards, and governance practices.
  • Conducts month-end data validations to ensure accuracy, completeness, and readiness for business use.
  • Collaborates with stakeholders to identify gaps and improve data management processes.
  • Provides training, guidance, and mentorship to junior team members as needed.

Business Strategy & Stakeholder Collaboration
  • Supports the development and execution of enterprise data strategy and roadmap.
  • Works cross-functionally to strengthen data management capabilities across business units.
  • Maintains current knowledge of emerging technologies, tools, and trends within financial services and data management.
  • Serves as a liaison between business, data, and technology teams to ensure alignment and successful delivery.

Documentation & Data Management
  • Creates and maintains technical documentation including:
  • Source-to-target mappings
  • Data dictionaries
  • Data lineage and governance artifacts
  • Develops and manages centralized, business-critical reporting assets.

Agile Delivery & Execution
  • Achieves Agile cadence by actively participating in all ceremonies (sprint planning, daily stand-ups, reviews, and retrospectives).
  • Ensures work is managed consistently through Agile frameworks and best practices.
  • Performs accurate estimation, backlog refinement, and capacity planning to support reliable delivery.

Backlog Quality & Delivery Readiness
  • Establishes and enforces a Definition of Ready (DoR) for all backlog items.
  • Ensures at least 90% of user stories meet DoR standards prior to sprint intake, including:
    • Clear linkage to parent Jira issue types
    • Well-defined acceptance criteria
    • User test cases
    • Data mapping requirements
  • Improves delivery efficiency and reduces rework through consistent backlog quality standards.

Outcome Focus
  • Delivers high-quality, reliable enterprise data solutions.
  • Improves data integrity, governance, and reporting accuracy.
  • Strengthens Agile delivery discipline and predictability.
  • Enables better business decision-making through trusted data and analytics.

Qualifications
Bachelor's Degree and 6 years of experience in Data Management, Data Analytics OR High School Diploma or GED and 10 years of experience in Data Management, Data Analytics
Preferred Education: Advanced DegreeLicense or Certification Type: DAMA Certified Data Management Professional-Practitioner (CDMP-P) certification PreferredSkill(s): Understanding of data warehousing and transformation methods, lineage documentation, and ETL processes, Knowledge of data spreadsheets and databases, Understanding of Base SAS programming, SAS Enterprise Guide, Cognos, or related programs, Ability to write SAS programming language
Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates. More information can be found at https://jobs.firstcitizens.com/benefits.

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