Data Quality Analyst

Datavant is a data logistics company for healthcare whose products and solutions enable organizations to move and connect data securely. We are a data logistics company for healthcare whose products and solutions enable organizations to move and connect data securely. Datavant has a network of networks consisting of thousands of organizations, more than 70,000 hospitals and clinics, 70% of the 100 largest health systems, and an ecosystem of 500+ real-world data partners.

By joining Datavant today, you’re stepping onto a highly collaborative, remote-first team that is passionate about creating transformative change in healthcare. We hire for three traits: we want people who are smart, nice, and get things done. We invest in our people and believe in hiring high-potential and humble individuals who can rapidly grow their responsibilities as the company scales. Datavant is a distributed, remote-first team, and we empower Datavanters to shape their working environment in a way that suits their needs.

Datavant is looking for an enthusiastic and meticulous Data Quality Analyst to join our growing team which interrogates and assesses client information in terms of the re-identification risk to patients, and operationalizes the necessary data modifications needed to reduce risk.

As part of the Privacy Science team within Privacy Hub, you will play a crucial role in processing and analyzing large health-related datasets and contribute to the subsequent preparation of associated reports. Within Privacy Hub, we work to protect patient privacy and maximize the utility of health data. Your work will directly impact the health data ecosystem allowing datasets to be used for scientific research and development whilst protecting patient privacy. There will be opportunities to work on a variety of projects relating to patient privacy in data and to develop skills in data analysis and data science as well as an understanding of re-identification risk in data.

Please note: although this role is fully remote, this role is expected to work East Coast business hours.

You Will:

• Process and clean health datasets in a variety of formats, and of various sizes.
• Analyze health datasets, clearly reporting findings to the data science team.
• Develop tools and working processes to facilitate analysis.
• Create clear documentation and aid in the preparation of statistical reports.
• Liaise with clients and data scientists to ensure projects are delivered promptly.

What You Will Bring to the Table: 

• A university degree in a relevant subject and/or considerable experience in a similar position for commercial/service organizations.
• Expertise in the manipulation, integration, processing, and interrogation of large datasets.
• Expertise in either R and/or Python, the command line, with strong coding skills and annotation protocols.
• Experience running database queries in SQL.
• Excellent communication skills. Able to liaise effectively, both internally and externally, to reach successful project conclusions.
• Understanding of real-world data in context rather than considering it in abstraction.
• Well-developed time management skills and demonstrable experience in prioritizing work to meet tight deadlines.
• The ability to work both as part of a team and independently, without supervision as circumstances dictate.

Bonus Points if:

• You have an appreciation of the need for effective methods of data privacy and security, and an awareness of the relevant legislation.
• Familiarity with AWS cloud-based storage and computing facilities.

We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status.

Our compensation philosophy is to be externally competitive, internally fair, and not win or lose on compensation. Salary ranges for this position are developed with the support of benchmarks and industry best practices. 

We’re building a high-growth, high-autonomy culture. We rely less on job titles and more on cultivating an environment where anyone can contribute, the best ideas win, and personal growth is driven by expanding impact. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for