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Data Management Jobs in Hamden, CT (NOW HIRING)

Data Architect

New Haven, CT · On-site

$64 - $82.50/hr

Design scalable, secure, and governed data solutions across SAP S/4HANA, Veeva CRM, Veeva Vault, MDM, ODS, and other enterprise platforms * Develop enterprise data models, integration patterns, and ...

Data Architect

New Haven, CT · On-site

$64 - $82.50/hr

Design scalable, secure, and governed data solutions across SAP S/4HANA, Veeva CRM, Veeva Vault, MDM, ODS, and other enterprise platforms * Develop enterprise data models, integration patterns, and ...

Operationalize core governance processes including data steward onboarding, glossary management, access approvals, and policy enforcement. * Develop and maintain metadata assets such as business ...

Operationalize core governance processes including data steward onboarding, glossary management, access approvals, and policy enforcement. * Develop and maintain metadata assets such as business ...

Define and enforce AI and data lifecycle management standards, including data sourcing, training data governance, model validation, monitoring, drift detection, explainability, and decommissioning.

Define and enforce AI and data lifecycle management standards, including data sourcing, training data governance, model validation, monitoring, drift detection, explainability, and decommissioning.

Data Management - continuously monitor data inputs from various data sources (Microsoft SQL ... Vendors, Datarails etc.) and highlight/correct any inaccuracies. * Maintain performance and health ...

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Data Management information

See Hamden, CT salary details

$30.8K

$96.6K

$171K

How much do data management jobs pay per year?

As of Aug 4, 2026, the average yearly pay for data management in Hamden, CT is $96,580.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,600.00 and $124,800.00 per year, depending on experience, location, and employer.

What are some common challenges faced by data management professionals in ensuring data quality and consistency across departments?

Data Management professionals often encounter challenges such as inconsistent data entry practices, siloed information systems, and varying data standards across departments. Addressing these issues typically involves implementing data governance frameworks, standardizing processes, and fostering collaboration between teams to ensure data integrity. Regular audits, cross-functional meetings, and the use of data quality tools are common strategies employed to maintain high standards and support organizational decision-making.

What is a data management analyst?

A data management analyst is responsible for maintaining databases. In this position, your responsibilities are to keep an eye on how secure the data is and look for ways to increase user efficiency when accessing it. For example, you might move the database to an online cloud-based server to free up system resources. A data management analyst has to have a solid grasp of network technology, in addition to familiarity with database and spreadsheet software, to perform the duties of the job.

What are the key skills and qualifications needed to thrive in data management, and why are they important?

To excel in Data Management, you need a strong background in data analysis, database design, and data governance, often supported by a degree in computer science or information systems. Familiarity with database management systems (like SQL, Oracle), data visualization tools, and certifications such as Certified Data Management Professional (CDMP) are highly valued. Attention to detail, problem-solving, and strong organizational skills help professionals ensure data integrity and facilitate effective collaboration. These competencies are crucial for maintaining accurate, secure, and accessible data, which underpins informed business decision-making.

What skills are needed for data management?

Data management professionals need strong analytical skills, attention to detail, and proficiency with database tools such as SQL and Excel. Knowledge of data governance, data quality, and familiarity with data management software are also important for effective data organization and security.

What is data management as a job?

Data management as a job involves organizing, storing, and maintaining data to ensure its accuracy, security, and accessibility. Professionals in this field often work with database tools, data governance policies, and data quality standards to support business operations and decision-making.

What is data management?

Data management is the process of collecting, storing, organizing, and maintaining data in a secure and efficient manner. It ensures that data is accurate, available, and accessible to authorized users when needed. Good data management practices help organizations make informed decisions, comply with regulations, and protect sensitive information. It often involves the use of specialized software, policies, and procedures to handle data throughout its lifecycle.

What is the difference between Data Management vs Data Analyst?

AspectData ManagementData Analyst
Primary FocusOrganizing, storing, and maintaining data integrityAnalyzing data to extract insights and support decision-making
Skills & CertificationsDatabase management, SQL, data governance certificationsStatistical analysis, Excel, data visualization tools
Work EnvironmentData warehouses, IT departments, enterprise systemsBusiness units, analytics teams, consulting firms
Industry UsageUsed across industries for data infrastructureUsed for reporting, forecasting, and strategic analysis

While Data Management focuses on maintaining and organizing data infrastructure, Data Analysts interpret this data to generate insights. Both roles are essential for effective data-driven decision-making but serve different functions within an organization.

What job categories do people searching Data Management jobs in Hamden, CT look for? The top searched job categories for Data Management jobs in Hamden, CT are:
What cities near Hamden, CT are hiring for Data Management jobs? Cities near Hamden, CT with the most Data Management job openings:
Infographic showing various Data Management job openings in Hamden, CT as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $96,580 per year, or $46.4 per hour.

MDM (Master Data Management) Business Analyst

ASSA ABLOY

New Haven, CT

Other

Medical, Retirement, PTO

Posted 29 days ago


Job description

We are looking for an MDM (Master Data Management) Business Analyst to join our growing IT team!  If you would like to be part of a dynamic, global organization that offers continuous growth and mobility, read on to learn more and apply today!

What you will be doing

The MDM Business Analyst acts as a critical bridge between business stakeholders, data stewards, and technical teams to ensure the effective management, governance, and quality of enterprise master data (e.g., Customer, Vendor, Product). This role focuses on defining business requirements, improving data quality, and supporting MDM platforms and processes that serve as the "single source of truth" across systems.

To be successful in the position, you must have a great attitude as well as strong business analysis and technical development. The Data Engineer will engage in gathering future requirements and work with cross functional teams. This position plays a key role in fulfilling the future modern data & analytics strategy for ASSA ABLOY Americas Division.

This is an on-site role based in New Haven, Connecticut.

Key Responsibilities:

  • Gather, document, and validate business requirements related to master data domains (Customer, Vendor, Product, etc.)
  • Analyze business processes that create, update, and consume master data across systems (ERP, CRM, BI)
  • Map current-state vs. future-state data flows and identify gaps, inefficiencies, and risks
  • Translate business requirements into functional specifications for MDM solutions
  • Support definition and enforcement of data governance policies, standards, and business rules
  • Collaborate with business data owners and data stewards to establish data ownership and accountability
  • Define and monitor data quality rules, KPIs, and exception handling processes
  • Assist with initiatives such as deduplication, golden record management, and data standardization
  • Work with cross-functional teams (Finance, Sales, Operations, IT) to align on master data requirements
  • Facilitate workshops and working sessions to define data standards and business rules
  • Act as liaison between business users and technical teams (MDM platform, integration, BI)
  • Support implementation and enhancement of MDM tools (e.g., workflows, approvals, data models)
  • Participate in system integration discussions involving MDM and downstream systems (ERP, CRM, DW)
  • Assist in testing (UAT), validation, and deployment of MDM-related changes
  • Document MDM processes, workflows, and data lifecycle
  • Develop reports and dashboards to monitor data quality and MDM adoption
  • Identify opportunities to expand MDM capabilities to new data domains
  • Drive continuous improvement initiatives to enhance data accuracy, consistency, and usability

What we are looking for

  • Bachelor's degree in business, Information System, Data Analytics, or related field
  • 8+ years of experience as a Business Analyst, preferably in data, analytic, or MDM Initiatives
  • Strong understanding of Master Data Management concepts, including Data Governance, Data Stewardship, Golden Record Management, and Data Quality Frameworks
  • Experience with MD Platforms (e.g., Profisee or similar) and integration tools
  • Knowledge of data modeling, SQL, and data integration concepts
  • Familiarity with tools like PowerBI or other reporting platforms
  • Understanding of workflows, approvals, and data lifecycle processes
  • Azure Data Factory, Data Lake Storage, Databricks, and Logic Apps preferred
  • Microsoft Fabric (Lakehouse, Data Pipelines, Warehouse, and Semantic Models) preferred
  • Strong analytical, problem-solving, and troubleshooting skills with the ability to navigate complex enterprise data landscapes.
  • Self-driven professional with excellent communication skills and ability to collaborate across technical and business teams.
  • Comfortable working in high-priority, time-sensitive environments with on-call support responsibilities
  • Up to 25% travel based on project requirements

What we offer

We're passionate about providing amazing opportunities and benefits, so that you can enjoy a lifelong career with us. We are proud to offer:
 

  • Continuous professional development opportunities and an environment that fosters internal growth and mobility.
  • Competitive compensation and benefits package which includes multiple healthcare options, tuition reimbursement, and matching 401k.
  • Generous holiday schedule and paid time off to refresh and recharge.
  • Employee pricing on our products and discount programs for travel, entertainment, and more!
     

We review applications regularly, so don't hesitate, apply today!

ASSA ABLOY is an Equal Opportunity Employer/Minorities/Females/Disabled/Veteran

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We are the ASSA ABLOY Group
Our people have made us the global leader in access solutions. In return, we open doors for them wherever they go. With nearly 63,000 colleagues in more than 70 different countries, we help billions of people experience a more open world. Our innovations make all sorts of spaces - physical and virtual - safer, more secure, and easier to access. 

As an employer, we value results - not titles, or backgrounds. We empower our people to build their career around their aspirations and our ambitions - supporting them with regular feedback, training, and development opportunities. Our colleagues think broadly about where they can make the most impact, and we encourage them to grow their role locally, regionally, or even internationally.

As we welcome new people on board, it's important to us to have diverse, inclusive teams, and we value different perspectives and experiences.