Senior Analyst, Data Management, IT

Bachelor's Degree in Computer Science , Information Technology, Data Management, Business, Engineering, or a related field and a minimum of 5 years of relevant experience in master data management, data governance, data quality, business analysis, or enterprise data operations.

Practical experience supporting Master Data Management solutions, data stewardship processes, or governed enterprise data domains.

Experience eliciting, documenting, and validating business requirements and translating them into functional data or application requirements.

Experience with data profiling, root cause analysis, issue remediation, business rules, data standards, and data quality controls.

Working proficiency in SQL and experience analyzing data in Snowflake or a comparable cloud data platform.

Strong analytical and problem-solving skills with the ability to investigate complex data issues across connected systems and processes.

Excellent written and verbal communication and interpersonal skills, including the ability to facilitate discussions across business and technical teams.

Ability to work independently under general direction, manage competing priorities, and collaborate effectively across global time zones.

Adhere to all company rules and requirements, including Environmental Health & Safety rules, and take adequate control measures to prevent injuries, protect the environment, and prevent pollution under their span of influence or control.

Hands-on experience with Informatica Intelligent Data Management Cloud MDM SaaS, Semarchy MDM, or another enterprise multi-domain MDM platform.

Experience with Healthcare Professional, Supplier, Customer, Product, or other enterprise master data domains.

Experience supporting an MDM modernization or migration program, including business validation, testing, cutover readiness, and user adoption.

Experience with Snowflake-based data solutions and integrations among MDM, source applications, and downstream consumers.

Experience developing data quality dashboards, governance scorecards, stewardship workflows, or operating procedures.

Relevant industry experience in medical device , pharmaceuticals, healthcare, or another regulated environment.

Develops solutions to a variety of complex data management problems and exercises judgment in selecting methods and techniques after considering business, data quality, governance, and technical implications.

Works with general direction focused on end results and may provide guidance to less-experienced team members or data stewards.

Travel may be required up to 5%.