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Master Data Analyst Jobs in Connecticut (NOW HIRING)

Planning Master Data Completeness (%) * Analyze trends and provide insights to support planning and operational decision-making. * Maintain and validate planning master data within ERP and planning ...

The Advancement Data Analyst is an inaugural role within Trinity College's Office of Advancement ... Master's Degree, preferred * 3-5 years of work experience * 5-8 years of work experience, preferred

Data Strategy-Manager

Stamford, CT · On-site

$99K - $232K/yr

... 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 ...

Data Strategy-Manager

Hartford, CT · On-site

$99K - $232K/yr

... 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 ...

... 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 ...

... 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 ...

Data Architect

New Haven, CT · On-site

$64 - $82.50/hr

You will help define the architecture strategy that connects SAP, Veeva, cloud platforms, integration technologies, master data solutions, operational data stores, and analytics environments into a ...

Data Architect

New Haven, CT · On-site

$64 - $82.50/hr

You will help define the architecture strategy that connects SAP, Veeva, cloud platforms, integration technologies, master data solutions, operational data stores, and analytics environments into a ...

$115K - $138K/yr

BASIC QUALIFICATIONS AND EXPERIENCE Master's degree and 3 to 5 years of relevant experience in Computer Science, Information Systems, Data Analytics, Engineering, Supply Chain, Digital Transformation ...

Data Architect

Windsor, CT · On-site

$63.25 - $81.50/hr

Build conceptual, logical, and physical data models to support analytics * Drive cloud adoption and modernization initiatives * Establish data governance, lineage, and master data practices * Oversee ...

AI/ML Development Analyst

Norwalk, CT · On-site

$100K - $150K/yr

Bachelor's or Master's degree in Mathematics, Data Science, Computer Science with Artificial ... Strong analytical, problem-solving, and debugging skills. * Ability to work independently and ...

Scrum Master - Project Delivery Analyst

Stamford, CT · Hybrid

$55 - $73.25/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 ...

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Master Data Analyst information

See Connecticut salary details

$18

$42

$72

How much do master data analyst jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for master data analyst in Connecticut is $42.19, according to ZipRecruiter salary data. Most workers in this role earn between $29.04 and $52.60 per hour, depending on experience, location, and employer.

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.

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 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.

Is a master's in data analysis worth it?

For a Master Data Analyst, obtaining a master's degree in data analysis can enhance technical skills, such as proficiency in SQL, Python, and data visualization tools, and may improve job prospects and salary potential. However, practical experience and certifications like Certified Analytics Professional (CAP) can also be valuable in this field. The decision depends on career goals and the specific requirements of employers in data analysis roles.

Is 40 too late for data science?

For a Master Data Analyst, age is not a barrier to entering data science. Many professionals successfully transition into data science roles later in their careers by acquiring relevant skills such as programming, statistics, and tools like Python or SQL, often through online courses or certifications. Experience and continuous learning are valued more than age in the data industry.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but a Master Data Analyst's role involves interpreting complex data, making strategic decisions, and communicating insights, which require human judgment and domain expertise. AI tools are valuable for enhancing efficiency but are unlikely to fully replace skilled analysts who provide critical context and nuanced analysis.

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.

What can I do with a master's in data analysis?

A master's in data analysis prepares individuals for roles such as Master Data Analyst, Data Scientist, or Business Intelligence Analyst, involving tasks like data cleaning, statistical analysis, and reporting. It often requires proficiency in tools like SQL, Python, or R and understanding of data management systems. Graduates can work in various industries including finance, healthcare, and technology, often in environments that emphasize data-driven 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.

What job categories do people searching Master Data Analyst jobs in Connecticut look for? The top searched job categories for Master Data Analyst jobs in Connecticut are:
What cities in Connecticut are hiring for Master Data Analyst jobs? Cities in Connecticut with the most Master Data Analyst job openings:
What are popular job titles related to Master Data Analyst jobs in CT? For Master Data Analyst jobs in CT, the most frequently searched job titles are:
Infographic showing various Master Data Analyst job openings in Connecticut as of July 2026, with employment types broken down into 7% Internship, and 93% Full Time. Highlights an 80% In-person, 13% Hybrid, and 7% Remote job distribution, with an average salary of $87,753 per year, or $42.2 per hour.

Other

Posted 12 days ago


Job description

Description

Department: Information Technology

Hiring Manager:  IT Director

FLSA Status:  Exempt

Working Status:  Full-Time


JOB SUMMARY

We are seeking a hands-on highly skilled and experienced Global Master Data Coordinator to support and coordinate global master data operations, governance, analytics, and process execution across business functions during the SAP S/4HANA implementation and ongoing operations. This role is responsible for helping maintain the integrity, accuracy, and consistency of master data, including material/product, customer, supplier, finance, and bill of materials (BOM) data across North America while collaborating with global teams to promote standardized processes. The position works closely with cross-functional stakeholders to support digital transformation initiatives, data quality, and reporting needs by applying knowledge of SAP, CRM, and master data management practices, along with strong organizational, communication, and collaboration skills.

Requirements

Data Leadership & Governance

  • Coordinate the implementation of master data standards, governance processes, policies, and procedures to support organizational objectives.
  • Partner with business process owners, regional teams, and IT to help maintain consistent master data quality and support aligned processes across U.S. and APAC regions.
  • Organize and facilitate cross-regional master data meetings and working groups, track action items, assist with resolving data issues, and support alignment with business priorities.
  • Establish and monitor key performance indicators (KPIs) to track master data quality, compliance, and governance effectiveness.
  • Monitor and report on key performance indicators (KPIs) related to master data quality, compliance, and governance, identifying trends and escalating issues as needed.

Implementation & Transformation

  • Coordinate master data activities for SAP S/4HANA, CRM, and related system implementations, supporting data modeling, cleansing, enrichment, migration, validation, and go-live readiness.
  • Collaborate with SAP functional and technical teams, system integrators, and data stewards to ensure seamless data flows and integrity during design, testing, and deployment phases.
  • Support the migration of master data from legacy systems to SAP S/4HANA by assisting with data mapping, validation, and cutover activities.
  • Participate in SAP testing cycles, including User Acceptance Testing (UAT) and integration testing, by validating master data, identifying data quality issues, documenting defects, and supporting process improvements.

Process & Data Quality Management

  • Support the development and maintenance of master data processes, including data creation, change management, hierarchy management, governance checkpoints, and data retirement procedures.
  • Coordinate the use of master data tools, workflows, and automation solutions (e.g., SAP MDG, SAP Data Intelligence, or equivalent) to promote data quality and streamline business processes.
  • Collaborate with analytics and business intelligence teams to support accurate master data for operational reporting, dashboards, and analytical initiatives.
  • Assist with continuous improvement efforts by identifying process enhancements, monitoring data quality trends, and supporting initiatives to improve efficiency and reduce processing times.

Stakeholder Management & Communication

  • Collaborate with project stakeholders and business leaders to provide updates on master data activities, identify risks, and support project objectives.
  • Work with regional and functional teams to gather business requirements, document data standards, and assist in implementing scalable master data solutions.
  • Develop and deliver training materials, process documentation, and user support resources to promote consistent adoption of master data practices across project teams.

KEY SKILLS & COMPETENCIES:

Technical Skills

  • Strong functional knowledge of SAP master data domains including Material / Product/ Customer/ Supplier/ Finance, as well as SAP S/4HANA and MDG capabilities.
  • Experience with data migration tools, data integration, and transformation frameworks (e.g., SAP BODS, LTMC, Signavio, SAP Information Steward).
  • Proficiency in data quality, data modeling, and data lifecycle management best practices.
  • Analytical mindset with demonstrated experience working with data analytics, reporting, and predictive modeling capabilities.

Leadership & Interpersonal Skills

  • Exceptional communication skills with ability to engage both technical and non-technical stakeholders.
  • Strong organizational skills with meticulous attention to detail and ability to manage multiple priorities in a fast-paced global environment.
  • Proven leadership, team building, and collaborative skills across regions and functions.
  • Change-oriented mindset with ability to influence without authority and drive adoption of best practices.

BASIC QUALIFICATIONS:

  • Bachelor's degree in Information Technology, Data Science, Business, Engineering, or related field
  • Minimum 3 years of experience in master data management roles with SAP S/4HANA implementations.
  • Demonstrated success in master data coordination, SAP MDG and SAP ERP environments, preferably within manufacturing or supply chain contexts.

PREFERRED QUALIFICATIONS:

  • Master's Degree Bachelor's degree in Information Technology, Data Science, Business, Engineering, or related field
  • Certification in SAP MDG, SAP S/4HANA, PMP, or associated master data/data governance credentials.
  • Experience with chemical or manufacturing processes and understanding of industry-specific compliance and data requirements.
  • Prior experience managing remote and multi-cultural teams.

Equal Opportunity Employer Statement: UBE is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, age, status as a protected veteran, or status as a qualified individual with a disability.