Data Stewardship Analyst

Posted 2 Days Ago
Be an Early Applicant
Hiring Remotely in India
Remote
Junior
Healthtech • Pharmaceutical
The Role
The Data Stewardship Analyst will validate and enrich data content for Data Products, conduct primary and secondary research, support data governance strategies, and maintain data dictionaries while ensuring data quality and proper classification in collaboration with various teams.
Summary Generated by Built In

Data Stewardship Analyst

Position Summary:

The Data Stewardship Analyst is a detail-oriented individual responsible for research and data stewardship to ensure the accuracy, completeness, and consistency of the content throughout our Data Products. You engage in research across various Payer and Provider Data Products to expand and enrich our existing content. This role reports directly to the Product Owner in Precision Medicine Group, India. You work closely with various teams to ensure that data is properly classified, managed, and updated so that it can be leveraged by downstream users.

Essential functions of the job include but are not limited to:

  • Stewardship to maintain quality of existing content by validating, and enriching with supporting data as needed
  • Perform primary research, evaluating new content for inclusion to the Data Products
  • Perform secondary research, analyzing significant volumes of metadata to prioritize primary research queue
  • Utilize data management tools, including master data management (MDM) system, data quality dashboards, scorecards, and reports.
  • Participate in data governance committees and collaborate with other data stewards to develop and implement enterprise-wide data management strategies.
  • Support the development of data quality monitoring frameworks and tools
  • Support the maintenance of data dictionaries
  • Support the development of data governance policies, procedures, and standards.

Minimum Required:

  • Bachelor's degree in computer science, information management, or a related field.
  • At least 1-2 years of experience in primary research and knowledge management.
  • Demonstrated ability to solve an unstructured problem with the use of one or many datasets

Other Required:

  • At least 1-2 years of experience working with US Healthcare data.
  • At least 1 year of experience in data management, data governance, or a related field.
  • Strong understanding of data management concepts, including data quality, metadata management, data lineage, and data governance.
  • Familiarity with SQL, data management systems.

Preferred:

  • Experience with Reltio, Informatica or other MDM tools
  • Familiarity with Snowflake

Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice.

Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. © 2020 Precision Medicine Group, LLC

If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at [email protected].

It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.

Top Skills

SQL
The Company
HQ: Bethseda, MD
396 Employees
On-site Workplace
Year Founded: 2012

What We Do

We founded Precision Medicine Group in 2012 because we believed there was a transformational opportunity to improve the process of bringing new drugs to market. It involves utilizing technology, data, and human expertise. It is a big challenge that requires diverse talents. Our model involves both nurturing and investing organically and acquiring capabilities that we do not have but critically need. Our core executive team is anchored to this model, building life science services that address fundamental changes in healthcare that are necessary for health and outcomes improvement.

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