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Master Data Analyst Jobs in Las Vegas, NV (NOW HIRING)

Data Modeler

Las Vegas, NV · On-site

$52.25 - $67.75/hr

Should have in-depth understanding on Data Warehousing, Data Analysis, Data Profiling , Master Data Management (MDM), Data Quality, Data Lineage, Data Dictionary , Data Mapping, Data Policy, and Data ...

Data Modeler

Las Vegas, NV · On-site

$52.75 - $68.25/hr

Should have in depth understanding on Data Warehousing, Data Analysis, Data Profiling, Master Data Management (MDM), Data Quality, Data Lineage, Data Dictionary, Data Mapping, Data Policy, and Data ...

... Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in defining data ...

Stand up L&W's centralized data hub, including infrastructure, master data management, governance, data engineering, analytics engineering, and data science capability. * Define and operate the hub ...

... Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this ...

Stand up L&W's centralized data hub, including infrastructure, master data management, governance, data engineering, analytics engineering, and data science capability. * Define and operate the hub ...

... Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary range for this ...

... SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer/Data Analyst/ML - Proven leadership in data-driven strategies - Demonstrating thought ...

Scrum Master - Project Delivery Analyst

Las Vegas, NV · Hybrid

$49.25 - $65.75/hr

Work you'll do/Responsibilities You will serve as a Scrum Master for a Data & Analytics agile product team operating in a SAFe environment as part of a Data & Analytics Foundry staff augmentation ...

Scrum Master - Project Delivery Analyst

Las Vegas, NV · On-site

$49.25 - $65.75/hr

... Data & Analytics environment. Responsibilities : • Facilitate SAFe/Agile team ceremonies and ... Required : • 1+ years of experience supporting Agile delivery as a Scrum Master • 1+ years of ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Director & Summary ... The Opportunity As part of the Data Management team, you architect and manage master data ...

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Master Data Analyst information

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How much do master data analyst jobs pay per hour?

As of May 27, 2026, the average hourly pay for master data analyst in Las Vegas, NV is $42.36, according to ZipRecruiter salary data. Most workers in this role earn between $29.13 and $52.79 per hour, depending on experience, location, and employer.

What Does a Master Data Analyst Do?

A master data analyst monitors and examines master and key data within a company or organization. As a master data analyst, your job duties include developing databases to support business goals, implementing standards for collecting and storing data, and using data to gain key business insights. The career typically requires a bachelor’s degree in IT, data science, or a related field and work experience in data analysis or software programming. Additional qualifications include strong analytical and computer skills, as well as an understanding of database architecture.

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

To thrive as a Master Data Analyst, you need a strong background in data management, analytics, and a relevant degree such as computer science, information systems, or business. Familiarity with data management tools like SAP, Oracle, SQL, and experience with data governance frameworks or related certifications are typically required. Excellent attention to detail, problem-solving abilities, and effective communication skills help distinguish top performers in this role. These competencies are critical for ensuring data accuracy, supporting business decisions, and maintaining consistent data standards across the organization.

How does a Master Data Analyst typically collaborate with other departments to maintain data quality?

A Master Data Analyst regularly works with teams such as IT, finance, supply chain, and operations to ensure data consistency and integrity across systems. This collaboration often involves participating in cross-functional meetings, clarifying data requirements, and resolving discrepancies in master data. Effective communication and problem-solving skills are essential, as the analyst serves as a bridge between technical and business stakeholders to implement data governance policies and improve data processes.

What are Master Data Analysts?

Master Data Analysts are professionals responsible for managing and maintaining an organization's critical business data, often referred to as 'master data.' This includes key information about customers, products, suppliers, and other core business entities. Their work ensures that data is accurate, consistent, and accessible across different departments and systems. Master Data Analysts also help establish data governance standards, support data integration projects, and troubleshoot data quality issues to support business operations and decision-making.

What is the difference between Master Data Analyst vs Data Analyst?

AspectMaster Data AnalystData Analyst
CredentialsBachelor's degree in data-related field; certifications like CDMP or DAMA often preferredBachelor's degree in statistics, mathematics, or related field; certifications are optional
Work EnvironmentFocus on managing and maintaining master data across departmentsAnalyze data sets to generate reports and insights for decision-making
Industry UsageCommon in organizations with complex data management needsWidespread across various industries for data analysis tasks

The main difference is that a Master Data Analyst specializes in managing and maintaining core organizational data, ensuring data quality and consistency. In contrast, a Data Analyst primarily focuses on analyzing data to support business decisions. Both roles require strong analytical skills, but the Master Data Analyst emphasizes data governance and integrity, often working closely with IT and data management teams.

Infographic showing various Master Data Analyst job openings in Las Vegas, NV as of May 2026, with employment types broken down into 74% Full Time, 5% Part Time, and 21% Contract. Highlights an 84% In-person, 5% Hybrid, and 11% Remote job distribution, with an average salary of $88,104 per year, or $42.4 per hour.

Senior Data Modeler / Data Analyst

Purple Drive Technologies

Las Vegas, NV • On-site

Full-time

Posted 18 days ago


Job description

Overview:
Description:
Job Description :
  • 7 + years of experience in Data Modeling & Data Analysis and should have excellent communication and leadership skills.
  • Financial Domain knowledge is plus.
  • Should have strong understanding of cloud Datawarehouse like Snowflake and Data modelling skill using Data Vault 2.0.
  • Should have in depth understanding or executed new concepts like Data Lakehouse and should have worked on Big Data sources / tools such as Hive , S3 , Trino , HUE , etc.
  • Should have done complex (100+ entities/tables)
  • Data Modeling programs in both on-prem and cloud environments .
  • Experience in designing normalized, denormalized, relational, dimensional, star and snowflake schemas for cloud, big data and on prem databases using any one of these data modeling tools (Erwin, ER/Studio, Toad Data Modeler, etc.)
  • Extensive Data Modeling experience in same or similar bigdata and cloud databases such as Hive, Redshift, Snowflake and on prem databases such as Oracle, SQL Server and DB2
  • Should have experience in working with product managers, project managers, business users, applications development team members, DBA teams and Data Governance team daily to analyze requirements, design, development, and deployment technical solutions.
  • Should have implemented Bill Inmon and Ralph Kimball methodologies to design data warehouses
  • Should have in depth understanding on Data Warehousing, Data Analysis, Data Profiling, Master Data Management (MDM), Data Quality, Data Lineage, Data Dictionary, Data Mapping, Data Policy, and Data Governance.