Data Analyst

Role Overview

The Data Analyst provides the foundation for analytics, collecting, quality assuring, and making data available. They work with team members to define and build data pipelines to orchestrate the movement, transformation, validation, and loading of data from the source to the final destination.

What You Will Do

Typical tasks performed include working with the data architect on data warehouse design, ensuring data loads quickly, extract, transform, and load (ETL) processing, performing thorough testing and validation, data bounds checking, and database tuning.

Why It Might Be a Fit

The Data Analyst strives to ensure proper data governance and quality for the Data Strategy team and the entire organization. They analyze complex data elements and systems, data flow, dependencies, and relationships to contribute to conceptual physical and logical data models.

Requirements

• 5+ years of experience in a Data Analyst role
• Graduate degree in Computer Science, Statistics, Healthcare Informatics, Informatics, Information Systems, or a related field
• IBM Certified Data Engineer or Google Certified Professional
• Experience with healthcare data, including HL7, CCDAs, MS SQL Server, Databricks, Tableau, InterSystems HealthShare, and Cache databases
• Advanced SQL knowledge and experience with relational databases, query authoring, and familiarity with various databases
• Proficient in database design principles, including relationships, normalization, structures, indexes, views, and analyzing database requirements
• Experience in building and optimizing big data pipelines, architectures, and data sets
• Strong analytical skills and experience in performing root cause analysis on data and processes to answer business questions and identify improvement opportunities
• Experience in developing processes for data transformation, structures, metadata, dependency, and workload management
• Working knowledge of message queuing, stream processing, and scalable big data stores
• Proficient in big data tools such as Hadoop, Spark, and Kafka
• Experience with relational SQL and NoSQL databases
• Strong programming skills with languages like Python, Java, C++, and Scala
• Ability to architect end-to-end ETL pipelines
• Experience with AWS services and BI tools like Tableau
• Strong quantitative, analytical, process development, facilitation, and organizational skills
• Excellent documentation and verbal communication skills, with the ability to clearly communicate technical concepts to both technical and non-technical stakeholders

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• Paid time off
• Retirement plan
• Learning budget
• Parental leave
• Wellness program
• Visa sponsorship available
• Relocation assistance available

Tagged as: Data Analysis