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Master Data Associate information

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How much do master data associate jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for master data associate in Washington, DC is $21.23, according to ZipRecruiter salary data. Most workers in this role earn between $17.45 and $22.60 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a master data associate?

To thrive as a Master Data Associate, you need strong analytical skills, attention to detail, and a background in data management or a related field, often supported by a bachelor’s degree. Familiarity with ERP systems (such as SAP or Oracle), data governance tools, and proficiency in Excel are typically required. Excellent organization, problem-solving, and communication skills help you collaborate effectively and ensure data accuracy. These abilities are essential for maintaining high-quality data, supporting business operations, and enabling informed decision-making across the organization.

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

AspectMaster Data AssociateData Analyst
Primary FocusMaintaining and ensuring accuracy of master data recordsAnalyzing data to generate insights and support decision-making
Skills & CertificationsData management, Excel, ERP systems, attention to detailData analysis, SQL, Excel, statistical tools
Work EnvironmentData management teams, back-office, corporate settingsBusiness units, analytics teams, consulting firms
Industry UsageCommon in finance, manufacturing, supply chainWidespread across finance, marketing, healthcare

While both roles involve working with data, a Master Data Associate primarily focuses on maintaining accurate master data records, whereas a Data Analyst interprets data to provide actionable insights. The roles often overlap in skills like Excel and data management tools, but their core responsibilities differ significantly.

How does a master data associate typically collaborate with other departments, and what are some common challenges in cross-functional data management?

A Master Data Associate often works closely with teams such as IT, Finance, Supply Chain, and Sales to ensure data consistency and accuracy across systems. One common challenge is aligning data standards and resolving discrepancies that arise from differing departmental requirements or legacy systems. Effective communication and a keen attention to detail are essential for managing these cross-functional relationships and maintaining high data quality. Regular meetings and clear documentation help address issues promptly and support seamless collaboration.

Is a master data associate a good career?

A master data associate role involves managing and maintaining accurate core business data, which is essential for organizational operations. It offers opportunities for skill development in data management, ERP systems, and attention to detail, often leading to advancement into data analysis or management positions. The career can be stable and in demand, especially in industries with complex data needs.

What is a master data associate?

A Master Data Associate is a professional responsible for managing and maintaining an organization's core data related to business operations, such as customer, product, supplier, and financial information. Their main duties include ensuring data accuracy, consistency, and completeness across various systems, as well as supporting data governance policies. They often collaborate with different departments to implement data standards and resolve data-related issues, playing a key role in enhancing data quality and supporting business decision-making processes.
What are the most commonly searched types of Master Data jobs in Washington, DC? The most popular types of Master Data jobs in Washington, DC are:
What are popular job titles related to Master Data Associate jobs in Washington, DC? For Master Data Associate jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Master Data Associate jobs in Washington, DC look for? The top searched job categories for Master Data Associate jobs in Washington, DC are:
Master Data Associate jobs near you
Infographic showing various Master Data Associate job openings in Washington, DC as of June 2026, with employment types broken down into 1% As Needed, 59% Full Time, 37% Part Time, 1% Temporary, and 2% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $44,010 per year, or $21.2 per hour.

Principal Associate, Data Scientist - Retail Bank Marketing

Capital One

Mclean, VA

$59K - $60K/yr

Full-time

Re-posted 23 days ago

Capital One rating

7.7

Company rating: 7.7 out of 10

Based on 146 frontline employees who took The Breakroom Quiz

93rd of 170 rated banks

Job description

Principal Associate, Data Scientist - Retail Bank Marketing


Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Team Description

The marketing data science team in the Retail Bank builds the machine learning models that make our marketing more efficient: how much to spend on each digital marketing channel, the optimal product and channel to market each customer, and the estimated value of new accounts. We do data and model pipelining, machine learning, and well-managed model operations using Python and ML libraries in our tech stacks. If you enjoy the challenge of creating best-in-class solutions that provide long term value in a rapidly changing space, this is the role for you.

Role Description

In this role, you will:

  • Work closely with subject matter experts to deliver flexible, well managed models that perform well under a variety of economic conditions

  • Translate business goals into data science solutions and communicate with senior stakeholders

  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation

  • Explore next-generation model architectures (e.g. embeddings, sequence models) to unlock value in our marketing efficiency

The Ideal Candidate is:

  • Technical. You're comfortable with open-source languages and are passionate about developing further. You have hands-on experience with software engineering techniques and developing end to end model pipelines in Python.

  • Statistically-minded. You are experienced in various machine learning algorithms and predictive solutions

  • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You're not afraid to share a new idea

  • A storyteller. You are effective in communicating technical details to a variety of audiences

Basic Qualifications:

  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:

    • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics

    • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics

    • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)

Preferred Qualifications:

  • Master's Degree in "STEM" field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in "STEM" field (Science, Technology, Engineering, or Mathematics)

  • At least 3 years' experience in Python

  • At least 3 years' experience with machine learning

  • At least 3 years' experience with SQL

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $161,800 - $184,600 for Princ Associate, Data Science


New York, NY: $176,500 - $201,400 for Princ Associate, Data Science










Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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