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Work From Home Master Data Management Analyst Jobs

Internova Travel Group

Manager, Data Management

$161K/yr

... analytical data movement patterns * Working knowledge of Master Data Management concepts and ... Familiarity with project and work management tools such as Jira, Confluence, and SharePoint

The Job Place

Remote Work From Home Data Entry - Part Time

$17.50 - $23.25/hr

Remote Work From Home Data Entry Clerk - Part Time Ottawa, ON, Canada Or refer someone Job Openings ... You will report to a data manager or another senior data team member. Understanding of data ...

CRH

Master Data Specialist - Remote

Atlanta, GA · On-site +1

$90K - $105K/yr

This role flexes between implementation-focused work and operational MDM support. Job Location ... Prepare and manage SAP migration templates (Migration Cockpit, LSMW) * Perform analytical data ...

Online Remote Jobs

Data Entry - Remote work from home

$17.50 - $23.25/hr

About the job Data Entry - Remote work from home Remote work from home. data entry clerk, typing, copy pest, survey answer, survey complete, Sign Up, get started now. Thank you for checking us out!

AllJobs

Work at Home Data Entry Specialist

$16 - $21/hr

About the job Work at Home Data Entry Specialist QDS Group is seeking candidates with strong Data Entry skills in the Rochester, NY area. This opportunity is a 3-4 month contract but could go longer ...

The Joblink

Data Entry (Work From Home)

$17.50 - $23.25/hr

About the job Data Entry (Work From Home) * Maintains database by entering new and updated customer ... Oversee safety program and inform management of any unsafe conditions * Follow all fire, health ...

Huntington

Data Warehouse Sr. Manager

Columbus, OH · On-site +1

... master data management, dimensional/snowflake and de-normalized design, managed views, datamarts ... We're combining the best of both worlds: in-office and work from home. Our approach enables our ...

Huntington

Data Warehouse Sr. Manager

Columbus, OH · On-site +1

... master data management, dimensional/snowflake and de-normalized design, managed views, datamarts ... We're combining the best of both worlds: in-office and work from home. Our approach enables our ...

Huntington

Data Warehouse Sr. Manager

Columbus, OH · On-site +1

... master data management, dimensional/snowflake and de-normalized design, managed views, datamarts ... We're combining the best of both worlds: in-office and work from home. Our approach enables our ...

Spectrum Staffing Services

Be Seen First

Data Entry Operator

Denville, NJ · Remote

$19/hr

This is a strong opportunity to build hands-on experience with master data management, data ... Through an in depth analysis of our client's organization, we develop an understanding of the ...

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Work From Home Master Data Management Analyst information

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$19

$44

$76

How much do work from home master data management analyst jobs pay per hour?

As of Aug 15, 2026, the average hourly pay for work from home master data management analyst in the United States is $44.35, according to ZipRecruiter salary data. Most workers in this role earn between $30.53 and $55.29 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a work from home master data management analyst, and why are they important?

To thrive as a Work From Home Master Data Management Analyst, you need expertise in data governance, data modeling, data quality analysis, and a relevant degree in information systems, computer science, or a related field. Familiarity with MDM tools like Informatica, SAP MDG, or Oracle MDM, as well as proficiency in SQL and data integration platforms, is typically required. Strong analytical thinking, attention to detail, and excellent communication skills set top performers apart in remote environments. These skills ensure accurate, consistent data across the organization, which is critical for informed decision-making and operational efficiency.

How does a work from home master data management analyst typically collaborate with cross-functional teams when working remotely?

As a remote Master Data Management (MDM) Analyst, effective collaboration with cross-functional teams is key to ensuring data consistency and quality across the organization. Most communication takes place via video meetings, instant messaging, and project management platforms to align with IT, business, and data governance teams. Analysts often participate in regular virtual check-ins, document data standards, and share insights or resolve issues in real time, ensuring smooth coordination despite physical distance. Leveraging collaborative tools and maintaining proactive communication are essential for success in this remote environment.

What is the difference between Work From Home Master Data Management Analyst vs Data Analyst?

AspectWork From Home Master Data Management AnalystData Analyst
CredentialsTypically requires a degree in information management, data science, or related fields; certifications like CDMP are commonUsually requires a degree in statistics, mathematics, or related fields; certifications like CAP or Microsoft Data Analyst are beneficial
Work EnvironmentRemote, often within data management or IT teams in various industriesRemote or on-site, working with data sets, reporting tools, and business teams
Industry UsageCommon in finance, healthcare, retail, and technology sectorsWidely used across industries including marketing, finance, healthcare, and tech

The main difference is that a Work From Home Master Data Management Analyst focuses on maintaining and ensuring the accuracy of organizational data across systems, while a Data Analyst primarily interprets data to provide insights. Both roles often require similar certifications and can be performed remotely, but their core responsibilities differ in scope and focus.

What is a work from home master data management analyst?

Work From Home Master Data Management Analysts are professionals responsible for ensuring the accuracy, consistency, and security of an organization's critical data assets while working remotely. They analyze, organize, and maintain data across various systems, helping businesses make informed decisions by providing clean and reliable information. These analysts collaborate with different departments to develop data standards, manage data integration, and resolve data quality issues, all from a remote work environment.
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Cities with the most Work From Home Master Data Management Analyst job openings:

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Work From Home Master Data Management Analyst jobs near you
Infographic showing various Work From Home Master Data Management Analyst job openings in the United States as of August 2026, with employment types broken down into 88% Full Time, 4% Part Time, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $92,247 per year, or $44.3 per hour.

Manager, Data Management

Internova Travel Group

Remote

$161K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 11 days ago

Job description

Overview
Internova Travel Group is one of the largest travel services companies in the world with a collection of leading brands delivering high-touch, personal travel expertise to leisure and corporate clients. Internova manages leisure, business and franchise firms through a portfolio of distinctive divisions. Internova represents more than 100,000 travel advisors in over 6,000 company-owned and affiliated locations predominantly in the United States, Canada and the United Kingdom, with a presence in more than 80 countries. Click here for more information about Internova Travel Group.
Responsibilities
As a Manager, Data Management, you will lead the architecture, design, delivery, and ongoing evolution of the company's enterprise data platforms, with Master Data Management serving as an important part of a broader modern data strategy. You will also be responsible for leading development efforts, managing various projects and initiatives within the Data Management group using Big Data technologies and related platforms, and overseeing existing applications. You will also undertake a leadership role in the ownership and accountability of all data applications, databases, and services. In this position, you will be expected to build and manage robust solutions in Azure-based cloud deployments of Big Data platforms. As a Manager, Data Management, you will lead a team of in-house and outsourced Data Engineers and developers in architecture, requirements, analysis, design, development, deployment and systems integration activities.
  • Lead the architecture, implementation, support, and evolution of enterprise data platforms, including Master Data Management solutions and broader cloud-based data services
  • Own the technical direction for the MDM platform, including data models, integration patterns, survivorship rules, matching, workflow, stewardship, and data quality processes
  • Define and advance the long-term architecture for modern big data platforms, including data lakes, data lakehouses, delta lakes, scalable storage patterns, and cloud-native data processing frameworks
  • Provide leadership and guidance to data engineers and developers in architecture, design, development, deployment, platform operations, and production support activities
  • Design and oversee integrations between data platforms, operational systems, and analytical platforms using APIs, ETL/ELT pipelines, Azure Data Factory, Function Apps, Logic Apps, and related cloud services
  • Establish architecture standards and engineering best practices for enterprise data platforms, including ingestion, transformation, orchestration, storage, semantic modeling, observability, and security
  • Provide leadership and guidance to data engineers and developers in architecture, design, development, deployment, platform operations, and production support activities

Qualifications
  • BA/BS or master's degree in Computer Science, Information Systems, Engineering, or a related field
  • 7+ years of progressive experience in data architecture, data engineering, big data platforms, data integration, MDM, or related disciplines
  • 5+ years of experience designing and delivering cloud-based data solutions in Microsoft Azure or comparable cloud platforms
  • Strong experience designing modern enterprise data platforms, including data lakes, data lakehouses, delta lakes, scalable storage patterns, and distributed data processing frameworks
  • Hands-on experience with cloud data technologies such as Azure Data Lake Storage, Azure Databricks, Azure SQL Database, Azure Data Factory, Microsoft Fabric, Snowflake, or comparable services
  • Solid experience in Azure Function Apps, Azure Logic Apps, Azure Kubernetes Service (AKS), and Azure Databricks
  • Strong knowledge of data modeling, data architecture, ETL/ELT design, pipeline orchestration, and batch and streaming integration patterns
  • Experience with Spark-based processing, SQL, Python, or other modern data engineering tools and techniques used to build scalable cloud data platforms
  • Experience building and supporting integrations using APIs, event-driven or file-based data exchange, and operational-to-analytical data movement patterns
  • Working knowledge of Master Data Management concepts and platforms, including data quality, mastering, matching, survivorship, hierarchy management, and stewardship workflows
  • Experience with DevOps and delivery practices using tools such as Azure DevOps, Git repositories, CI/CD pipelines, and Agile delivery methods
  • Understanding of data governance, metadata, lineage, cataloging, quality controls, and security models such as Azure AD and role-based access
  • Proven ability to lead teams, manage multiple initiatives, define architecture direction, and drive delivery in complex enterprise environments
  • Excellent communication and stakeholder management skills, with the ability to translate complex technical concepts into clear business language
  • Self-starter with strong analytical and problem-solving skills and the ability to independently identify root causes, evaluate options, and implement scalable solutions

Desired but not required
  • Experience in the travel industry
  • Experience with Master Data Management platforms such as Profisee or comparable tools
  • Microsoft Azure certifications such as Azure Data Engineer Associate, Azure Solutions Architect, or related cloud certifications
  • Experience with data governance and catalog tools such as Microsoft Purview
  • Familiarity with project and work management tools such as Jira, Confluence, and SharePoint
  • Experience managing offshore, remote, or hybrid delivery teams
  • Exposure to machine learning, advanced analytics, AI-enabled data capabilities, or real-time/event-driven data architectures is a plus

PAY AND BENEFITS
Our benefit offerings include choice of two medical plans and two dental plans, vision insurance, flexible spending accounts (FSAs), company-paid life insurance and AD&D, optional additional life insurance and AD&D, disability insurance, paid parental leave, paid time off, 401k Plan with company match, discounted employee travel options, access to LinkedIn Learning webinars and courses. Discounted pet insurance and auto, home, & renters insurance.
The salary range on this job posting/advertising has been developed to give applicants a wide range to comply with pay transparency laws in all states and geographical areas. Many factors, such as years of experience, geographical location, budget etc. are considered when determining the starting rate of pay. The salary range posted represents the pay range for U.S. candidates. If the job posting indicates that the role is available for international candidate consideration, the salary range will be based on the local market for the country where the candidate would be working.
This role may be eligible for an incentive, commission, bonus, or a discretionary bonus program based on the company's financial goal achievement and individual performance.
Internova Travel Group is an Equal Opportunity Employer. We make employment decisions without regard to age, race, religion, national origin, gender, disability, veteran status, genetic information, sexual orientation and gender identity or any other protected class.
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