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Data Operations Jobs in Connecticut (NOW HIRING)

Engineering Data Officer (Hybrid)

East Hartford, CT · Hybrid

$112K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

With our three market leading businesses, world-class operations and investments in research and ... Oversee the transformation of the data product creation processes to enhance efficiency ...

Software Engineer MDM (ETL)

Stamford, CT · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Engage in day-to-day data operations involving troubleshooting data pipelines and monitoring and maintaining job schedules. * Conduct thorough code reviews, ensuring adherence to coding standards and ...

Bachelor's degree in computer science, statistics, operations research or equivalent combination of education and experience Experience * 3 years in data analytics * 2 years programming experience ...

Associate Data Scientist

Stamford, CT · Hybrid

$62K - $63K/yr

Bachelor's degree in computer science, statistics, operations research or equivalent combination of education and experience Experience * 0-3 years of experience in data analytics * 0-2 years of ...

Quantitative Analysis Intern

Stamford, CT · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Operational Data Loading and Processing Automation To support data operations for PV and related functions, the position will manage monthly loading and preprocessing of external datasets. * Handle ...

Quantitative Analysis Intern

Stamford, CT · Hybrid

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Operational Data Loading and Processing Automation To support data operations for PV and related functions, the position will manage monthly loading and preprocessing of external datasets. * Handle ...

Hybrid Data Analyst Contact Center Analytics & Conversational Intelligence (BPO) 📍 Southington ... Track and report on agent productivity and operational metrics * Support capacity planning and ...

Showing results 21-40

Data Operations information

See Connecticut salary details

$49.5K

$122.3K

$190.3K

How much do data operations jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data operations in Connecticut is $122,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,400.00 and $155,500.00 per year, depending on experience, location, and employer.

What is a data operations?

A Data Operations job involves managing and optimizing the processes, tools, and workflows that ensure the efficient movement, storage, and accessibility of data. This includes data ingestion, transformation, quality assurance, and pipeline monitoring to support analytics and business intelligence. Data Operations professionals collaborate with engineers, analysts, and business teams to improve data reliability, scalability, and performance. Their role is critical in maintaining clean, accessible, and well-governed data for decision-making.

What types of teams and departments does data operations typically collaborate with?

Data Operations professionals often work closely with data engineering, business intelligence, IT, and analytics teams, as well as stakeholders from various business units such as marketing, finance, and operations. Their role frequently involves coordinating data pipelines, troubleshooting data quality issues, and ensuring smooth integration across systems. This cross-functional collaboration helps align data efforts with organizational goals and supports informed decision-making throughout the company. Being adaptable and communicative is key, as you'll regularly facilitate the flow of data and insights between technical teams and business users.

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

To thrive in Data Operations, you need strong analytical skills, data management experience, and a background in fields like information systems, computer science, or statistics. Familiarity with data visualization tools (e.g., Tableau), database management systems (e.g., SQL), and data integration platforms, along with relevant certifications such as AWS or Microsoft Azure Data Engineer, are highly valuable. Exceptional attention to detail, problem-solving ability, and effective collaboration skills differentiate top performers in this role. These competencies ensure accurate data flow, system integrity, and seamless cross-team cooperation, all of which are critical for maintaining reliable business operations.

What are the most commonly searched types of Data Operations jobs in Connecticut?

The most popular types of Data Operations jobs in Connecticut are:

What are popular job titles related to Data Operations jobs in Connecticut?

For Data Operations jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Data Operations jobs in Connecticut look for?

The top searched job categories for Data Operations jobs in Connecticut are:

What cities in Connecticut are hiring for Data Operations jobs?

Cities in Connecticut with the most Data Operations job openings:

Infographic showing various Data Operations job openings in Connecticut as of August 2026, with employment types broken down into 63% Full Time, 26% Part Time, and 11% Contract. Highlights an 95% In-person, and 5% Remote job distribution, with an average salary of $122,265 per year, or $58.8 per hour.

Full-time

Posted 27 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.