Data Analyst

The Provider team is actively looking for a detail-oriented and passionate data scientist to become a valuable part of our expanding Digital Operations team. Our focus involves maintaining, improving, and supporting our digital products so we can maximize the amount of digital release of information requests we can fulfill. If you are a data analyst with experience working with technical and non-technical stakeholders to maximize a product’s efficiency, please consider applying for this role!

Employ statistical techniques to scrutinize data and produce actionable insights to help increase the number of requests we can digitally fulfill.
Create automation for daily and repetitive analytical tasks.
Work closely with cross-functional teams, to understand business needs, and determine the right methodology for analysis and assumptions to provide data-driven insights into program performance and partnerships.
Develop data dashboards, charts, and visual aids to support decision-making of the digital operations team.
Stay abreast of industry trends, new technologies, and methodologies to enhance the team's analytical capabilities.
Partner with the Data Foundations and Data Management teams to assist in the creation of consistent and reproducible data insights for all teams at Datavant.

Proficient in using statistical analysis tools and programming languages (e.g., SQL, Python) for data analysis and modeling.
Strong problem-solving skills with the ability to think critically and provide data-driven solutions.
Expertise in the data cleaning, preprocessing, manipulation, integration, processing and interrogation of large datasets.
Strong understanding of statistical probability distributions, bias, error, and power as well as sampling and resampling methods.
Exceptional initiative and ability to solve problems independently, seek help when needed, and take ownership when navigating ambiguity.
Excellent communication skills with the ability to distill technical information to non-technical partners.
Well-developed time management skills and demonstrable experience of prioritizing work to meet tight deadlines for client deliverables.
Relevant university degree or equivalent training