Job Description

　　The Senior Data Analyst will partner closely with the Clinical Analytics team to leverage the Clinical Data Warehouse and provide data analysis services to support the business needs. They will engage with stakeholders to understand and document needs, extract, and analyze appropriate data, provide summary conclusions, acquire needed data governance authorization, and as needed, transfer data per internal policies. The Senior Data Analyst will work closely with various business, technical and clinical professionals daily. Additional responsibilities may include product support and ongoing data maintenance responsibilities. This position will be required to manage support for multiple projects, prioritize work, and have excellent written and verbal communication skills.

　　Responsibilities:

　　Data Extraction & Analysis

　　Gather requirements, review specifications, discover data sources, and obtain necessary access to achieve accurate data representation.

　　Translate clinical questions into data requirements and generate actionable business and clinical insights.

　　Use automated tools to extract data from primary and secondary sources.

　　Perform analysis to assess quality and meaning of data.

　　Identify and remediate corrupted data.

　　Identify, analyze, and interpret patterns and trends in complex data sets.

　　Write complex and efficient SQL scripts.

　　Using statistical tools -- identify, analyze, and interpret patterns and trends in complex data sets.

　　Understand multiple database/data warehouse structures, while understanding how various views/tables/schemas are related.

　　Work across multiple systems and devices (Virtual Machines, Virtual Environments).

　　Work with structured and un-structured time-series healthcare data acquired from disparate sources.

　　Skills and Requirements

　　* Bachelor's Degree in mathematics, statistics, economics, finance, or computer science

　　* 3-5 years of relevant experience working with payer-based datasets (including EMR datasets -- Epic, Cerner)

　　* Experience extracting and manipulating data utilizing SQL from large, complex data sets

　　* Knowledge of hands-on experience with data visualization tools (e.g Tableau, Power BI, etc.) * Master's degree

　　* Certifications

　　* Experience with Agile principles

　　* Python

　　* Integration tools: Java, Camel, Spring, Kubernetes, etc. null

　　We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].