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Flex Schedule Meta Data Analyst Jobs in Raleigh, NC

Data Analyst

Raleigh, NC · On-site

$27 - $28/hr

Data Analytics / Data Engineer Contractor This role supports two major system overhaul projects and ... Work Schedule: Hybrid, 2 days onsite and 3 days remote. * Experience Level: Open to entry-level ...

... SCHEDULE Monday-Friday (occasional evenings and weekends) Position is available for a hybrid ... Ability to analyze and organize data within large, complex databases; Ability to work independently ...

... SCHEDULE Monday-Friday (occasional evenings and weekends) Position is available for a hybrid ... Ability to analyze and organize data within large, complex databases; * Ability to work ...

Principal Data Analyst

Raleigh, NC · On-site

$126 - $180/hr

Consult data consumers, analysts and data scientists on navigating data sources and interpreting ... office-flex, to fully remote, depending on the requirements of their role. Red Hatters are ...

Principal Data Analyst

Raleigh, NC · On-site +1

$125K - $180K/yr

Consult data consumers, analysts and data scientists on navigating data sources and interpreting ... office-flex, to fully remote, depending on the requirements of their role. Red Hatters are ...

Senior AI FinOps Data Analyst

Raleigh, NC · On-site

$88.51 - $141.63/hr

The Senior FinOps Data Analyst sits at the intersection of Cloud Infrastructure, Corporate Finance ... office-flex, to fully remote, depending on the requirements of their role. Red Hatters are ...

ANALYTICS What We Do Our Data & Analytics teams build powerful stories and visuals that inform the ... What You'll Do Epic Games is looking for a Senior Data Scientist to support the meta-progression ...

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Showing results 1-20

Flex Schedule Meta Data Analyst information

See Raleigh, NC salary details

$33.1K

$80.3K

$132.2K

How much do flex schedule meta data analyst jobs pay per year?

As of Aug 27, 2026, the average yearly pay for flex schedule meta 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 Flex Schedule Meta Data Analyst vs Data Analyst?

AspectFlex Schedule Meta Data AnalystData Analyst
CredentialsBachelor's in Data Science, Statistics, or related field; familiarity with data toolsBachelor's in similar fields; proficiency in data analysis software
Work EnvironmentFlexible hours, remote or hybrid options, project-based tasksStandard office hours, on-site or remote roles, ongoing data projects
Industry UsageTech, finance, healthcare with flexible scheduling needsBroad industry application, often with fixed schedules

The Flex Schedule Meta Data Analyst typically offers flexible working hours and focuses on managing and analyzing data with adaptable schedules. In contrast, a Data Analyst often works standard hours in a more structured environment. Both roles require similar skills and educational backgrounds but differ mainly in work hours and flexibility.

What job categories do people searching Flex Schedule Meta Data Analyst jobs in Raleigh, NC look for?

The top searched job categories for Flex Schedule Meta Data Analyst jobs in Raleigh, NC are:

Infographic showing various Flex Schedule Meta Data Analyst job openings in Raleigh, NC as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, and 3% Contract. Highlights an 79% Physical, 1% Hybrid, and 20% Remote job distribution, with an average salary of $80,333 per year, or $38.6 per hour.

$27 - $28/hr

Other

Posted 6 days ago


Job description

Location: Raleigh, NC Salary: $27.00 USD Hourly - $28.00 USD Hourly Description: Our client is currently seeking a Data Analyst
Job Summary: Data Analytics / Data Engineer Contractor
This role supports two major system overhaul projects and is expected to last at least 6 months, likely closer to 12 months. The manager is seeking someone who can quickly learn the organization's systems, become an independent contributor, and provide support across data analytics, automation, and reporting initiatives.
Additional Details
  • Interview Process: Typically one 45-minute virtual interview (sometimes 30 minutes). A second round may occur if needed.
  • Work Schedule: Hybrid, 2 days onsite and 3 days remote.
  • Experience Level: Open to entry-level through senior candidates; no minimum or maximum years of experience required if skills and education align.
  • Industry Experience: No specific industry background required.

Key Responsibilities
  • Develop and execute SQL queries for data analysis and reporting.
  • Work within Snowflake to access, manage, and analyze data.
  • Build and maintain automation scripts using Python.
  • Utilize Databricks for data processing and scripting activities (nice-to-have, can be learned if strong Python skills are present).
  • Create dashboards and data visualizations using Power BI.
  • Support large-scale system modernization projects.
  • Communicate effectively with team members and stakeholders.
  • Quickly learn business processes, systems, and project requirements.

Required Skills
  1. SQL (Non-Negotiable)
    • Strong SQL querying experience is essential.
    • Snowflake experience is preferred, but strong SQL skills can substitute since Snowflake is heavily SQL-based.
  2. Python (Non-Negotiable)
    • Used for automation and scripting.
    • Strong to advanced Python skills are highly preferred.
  3. Power BI
    • Dashboard development and data visualization.
    • Experience with DAX is beneficial.

Preferred Skills
  • Snowflake
  • Databricks
  • Experience with automation and data engineering workflows.
  • Strong analytical and problem-solving abilities.

Soft Skills
  • Excellent communication skills.
  • Fast learner who can ramp up quickly.
  • Ability to work independently after initial onboarding.
  • Strong collaboration skills.

Education Requirements
  • Minimum Bachelor's Degree in:
    • Computer Science
    • Computer Engineering
    • Industrial Engineering
    • Or a related technical discipline

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