Senior Analytics Engineer

SHIFT:

Seeking Breakthrough Makers

Children's Hospital of Philadelphia (CHOP) offers countless ways to change lives. Our diverse community of more than 20,000 Breakthrough Makers will inspire you to pursue passions, develop expertise, and drive innovation.

At CHOP, your experience is valued; your voice is heard; and your contributions make a difference for patients and families. Join us as we build on our promise to advance pediatric care-and your career.

CHOP's Commitment to Diversity, Equity, and Inclusion

CHOP is committed to building an inclusive culture where employees feel a sense of belonging, connection, and community within their workplace. We are a team dedicated to fostering an environment that allows for all to be their authentic selves. We are focused on attracting, cultivating, and retaining talent who can help us deliver on our mission to be a world leader in the advancement of healthcare for children. We strongly encourage candidates of all races, colors, ethnicities, religions, perspectives, sexes, backgrounds, and lived experiences to apply.

A Brief Overview
The Analytics Engineer acts as a bridge between a data engineer and a data analyst. This position is primarily responsible for modeling raw data sets into curated, reusable, trusted data sets which power analytics across the enterprise. These data sets will serve as the single source of truth for data and enable self-service analytics. In addition to the development of data models, this role is responsible for maintaining data quality within these data sets via the use of monitoring, testing, and automation. An additional component of the role is to improve the effectiveness of data analysts and data scientists. This maybe via providing technical expertise in query development, extending data models via the addition of new metrics, and/or consulting on software development practices. The Analytics Engineer owns the entire workflow of data associated with their domain; data pipeline development and performance management, timely loading of data sets, and maintenance.

This role will work within various business units and partner with data analysts and data scientists to obtain a deep understanding of operational data and develop scalable data products which empower data-driven decision making across the enterprise.

The Analytics Engineer must be comfortable with mentoring and leading team development and skill development initiatives.

What you will do

• Collaborate with business subject matter experts, data analysts, and data scientists to understand/identify the opportunities to develop well-defined, integrated, re-usable data sets which power analytics.
• Codify reusable data access patterns to speed up time to insights.
• Perform logical and physical data modeling with an agile mindset.
• Build automated, scalable, test-driven data transformation pipelines.
• Utilize software development practices such as version control via git, CI/CD, and release management
• Build data products using various visualization, BI tools and data science tools.
• Collaborate with Data Engineers, DevOps engineers and Architects on improvement opportunities for DataOps tools and frameworks.
• Implement data quality frameworks and data quality checks.
• Help define analytical product roadmaps to drive the business goals and superior quality outcomes.
• Work with Data Scientists, Statisticians and Machine Learning Engineers to implement/scale advanced algorithms to solve health care, operational and quality challenges.
• Work independently and effectively manage time and resources across multiple priorities and projects.
• Make recommendations about platform adoption, including technology integrations, application servers, libraries, and frameworks.
• Participate in a shared production on-call support model.
• Be a critical part of a scrum team in an agile environment, ensuring the team successfully meets its deliverables each sprint.
• Train and mentor team members
• Develop a "trusted advisor" reputation through expertise in data and business processes.

Education Qualifications

• Bachelor's Degree Computer Science, Computer/Software Engineering, Information Technology or related fields - Required
• Master's Degree Computer Science, Informatics, Information Systems or another quantitative field -Preferred

Experience Qualifications

• At least six (6) years experience working in Data and analytics landscape - Required
• At least eight (8) years of experience working in Data and analytics landscape - Preferred
• At least two (2) years of experience working with at least one of the public cloud platforms such AWS/Azure/GCP - Preferred

Skills and Abilities

• Strong SQL, Data Modeling and Data Warehousing fundamentals.
• Experience with data integration tools such as dbt and Kinesis.
• Experience of data integration tools: DBT, Informatica, MS Integration Services etc.
• Experience with the Snowflake data platform
• Experience working with at least one of the Business Intelligence platforms (Business Objects, Cognos, Microstrategy etc.,) or visualization tools such as Qlik, Tableau, Power BI etc.,
• Hands-on experience with Linux (RHEL/Debian) operating system
• Knowledge of version control systems such as git.
• Ability to code with scripting languages such as python, bash, groovy etc.,
• Experience building and using APIs
• Experience utilizing Agile methodology for development

To carry out its mission, CHOP is committed to supporting the health of our patients, families, workforce, and global community.

EEO / VEVRAA Federal Contractor | Tobacco Statement

SALARY RANGE:

Salary ranges are shown for full-time jobs. If you're working part-time, your pay will be adjusted accordingly.

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At CHOP, we are committed to fair and transparent pay practices. Factors such as skills and experience could result in an offer above the salary range noted in this job posting. Click here for more information regarding CHOP's Compensation and Benefits.