Data Quality Analyst – Remote
Data Quality Analyst - Remote
Do you want to help promote transparency and clearer choices in health care? Come work on a research and consulting team that's making it happen! We're looking for a full-time Data Quality Analyst with a passion for data who wants to be part of an innovative, expanding team within our organization.
Who We Are
The Human Services Research Institute (HSRI) is a nonprofit, mission-driven organization that conducts research and evaluation to improve health and human service systems. We work at the local, state and federal level. We help develop measures, data collection instruments and protocols, advanced analytics, and data visualization strategies. Our goal is to help public agencies understand and demonstrate the real-world impact of the services they provide, helping them transform their policies and practice to produce meaningful outcomes.
We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be, and we encourage people from all backgrounds to apply.
This is a remote position but with the eventual option of working from our Cambridge, Massachusetts office, which is accessible by public transportation.
What We're Looking For
We're seeking a full-time Data Quality Analyst to join our data management and quality assurance team, part of our larger Population Health research team. You'll be responsible for the review of data for outliers and inconsistencies, you'll assist in creating dynamic data visualizations and reports to improve the quality of incoming and processed data, and you'll assist in the release of data to improve services and systems and inform policy decisions. Interest in the health care and public health field and working with health care insurance claims data is essential.
We're looking for an individual who enjoys working as part of a team, someone who listens and contributes to a sharing of diverse perspectives. The ideal candidate is someone who can communicate complex health insurance claims information to a non-analyst audience both in meetings and in writing; who manages work across multiple timelines; and who develops and maintains detailed quality health care claims information to communicate to clients, data users, and coworkers.
Due to the nature of this work-involving large datasets- secure, reliable access to the internet is required.
- Conducts routine and ad hoc data quality checks on incoming data and quality control checks for reports, data extracts, and dashboards; conveys identified issues in a clear and concise way-both to programmers to facilitate solutions and to the nontechnical business staff at organizations that submit the data (to improve quality of the incoming data)
- Manages documentation on data quality checks and procedures in accordance with internal standards and guidelines
- Runs routine data quality checks and identifies issues to communicate to the engineering team, clients, and data submitters.
- Creates processes and procedures for identifying and tracking data quality issues and version control
- Prepares and presents summary data quality reports
- Designs, implements, and maintains data quality visualizations: scorecards, dashboards, reports
- Engages and presents information to coworkers, clients and data submitters
- BA/BS in a business, public health, economics, or social science discipline with a minimum of 2 to 4 years' experience with health information
- Experience analyzing commercial, Medicare and/or Medicaid medical, dental, and/or behavioral health claims
- Intermediate SQL experience
- Basic experience creating data visualizations in Tableau or other similar software
- Attention to detail and strong commitment to high-quality work
- Analytical with strong problem-solving focus and ability to convey issues and solutions both verbally and in writing
- Ability to work independently and as part of a team
- Ability to execute complex analytic tasks and convey technical issues/problems succinctly and efficiently to the rest of the team
- Ability to work across projects with multiple timelines and clarify ambiguities as they arise
- Intermediate knowledge of Microsoft Word, Excel, and PowerPoint
- Masters in a business, public health, economics, or social science discipline with an emphasis in public health or statistics and at least one year of professional experience in quantitative research
- Intermediate experience creating data visualizations in Tableau
- Advanced SQL experience
- Basic to Intermediate SAS, SPSS, R or Stata or Python
Full Time - 40 hours / non-standard work hours. Overtime is occasionally needed.
How to Apply:
Interested candidates are encouraged to submit a Cover Letter and Resume/CV through HSRI's Career Center.
You can also cut/paste the URL into your browser: https://workforcenow.adp.com/jobs/apply/posting.html?client=hsri&ccId=19000101_000001&type=MP&lang=en_US
Materials can also be mailed to:
Attention: Human Resources
Human Services Research Institute
2336 Massachusetts Ave.
Cambridge, MA 02140
No phone calls, please.