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Job Location: Remote
Our mission is to be the catalyst for massive, measurable, data-informed healthcare improvement through:
- Data: integrate data in a flexible, open & scalable platform to power healthcare’s digital transformation
- Analytics: deliver analytic applications & services that generate insight on how to measurably improve
- Expertise: provide clinical, financial & operational experts who enable & accelerate improvement
- Engagement: attract, develop and retain world-class team members by being a best place to work
Role: Analytics Engineer
Team: Analytics Services Organization (ASO)
Location: US Remote
Travel Requirement: Travel may be required on an infrequent as needed basis
The Analytics Engineer (AE) role combines deep, analytics skills and a sound understanding of the processes and data that support the business of healthcare to inform a fundamental transformation of healthcare delivery as we know it today. The primary accountability of the AE is to ensure there is always a queue of measurable opportunities for our clients to act upon that will drive down cost, improve quality, and improve patient experience.
What you love to do:
- Training up client resources to own analytics work in the future
- Helping assess and understand what applications from the HC library would be valuable to deploy at the client site
- Providing analytic continuity and support at the client through all phases of deployment.
- Implementing and promoting Catalyst methodologies, while acting in the long-term best interest of the client.
- Managing client expectations and timelines for analytic deliverables.
- Navigating difficult client conversations with professionalism.
- Supporting the Analytic Director (AD) in key areas, including deployment, communication on the status of progress to client stake-holders, knowledge transfer and training on HC platform and technologies.
- Presenting analytic insights to clinical/operational/financial stake-holders at client.
- Interfacing with a variety of Health Catalyst (HC) roles (such as senior directors, product line managers, clinical staff, etc.) on an as needed basis.
What you’ll be responsible for:
- Leverage HC software and technologies to guide and perform varied analyses to support client outcomes improvement initiatives across clinical, operational and financial domains.
- Design data models and visualizations that meet project requirements and comply with HC design standards and principles.
- Manage technical client projects by providing technical oversight; ensure assigned projects are executed efficiently and according to project requirements and timelines.
- Guide data validation tests to ensure quality of measurement.
- Work with client data architects to train and mentor on HC tools and methodologies
- All other duties as assigned
What you bring to this role:
- Expert level in Structured Query Language (SQL)
- Strong experience with Extract, Transform, and Load (ETL) processes and concepts. Familiarity with multiple ETL applications is a bonus.
- Deep experience designing, implementing and loading custom data models that reflect real-world problems
- Strong experience delivering analytics to technical, non-technical and management teams that influence and support business strategy
- Strong experience developing visualizations that consume data models for non-technical users
- Effective written and verbal communication and presentation skills
- Strong ability to understand, interact with, and communicate with all levels of employees and clients
- Self-motivated; comfortable working under general and minimal direction
Other “nice to have’s”
- Health care experience, particularly working with data
- Statistical modeling experience
- Strong working knowledge and understanding of database principles, concepts, technologies and tools
- Experience with SQL Server Integration Services (SSIS)
- Visualization experience using a variety of BI tools (Qlikview, Tableau, Power BI, Cognos, Crystal Reports)
- Strong experience with development methodologies including AGILE development
- Secondary skills/attributes (highly desired);
- Stats, Predictive, Machine Learning, AI, etc.
- Quality improvement – Lean, 6 Sigma, etc.
- Project management
Preferred Education & Relevant Experience
- BS/BA in information technology, math, statistics or business-related field or equivalent relevant work experience
- 5+ years’ experience in technology or technology related field
The above statements describe the general nature and level of work being performed in this job function. They are not intended to be an exhaustive list of all duties, and indeed additional responsibilities may be assigned by Health Catalyst.
Studies show that candidates from underrepresented groups are less likely to apply for roles if they don’t have 100% of the qualifications shown in the job posting. While each of our roles have core requirements, please thoughtfully consider your skills and experience and decide if you are interested in the position. If you feel you may be a good fit for the role, even if you don’t meet all of the qualifications, we hope you will apply. If you feel you are lacking the core requirements for this position, we encourage you to continue exploring our careers page for other roles for which you may be a better fit.
At Health Catalyst, we appreciate the opportunity to benefit from the diverse backgrounds and experiences of others. Because of our deep commitment to respect every individual, Health Catalyst is an equal opportunity employer.
Job Type: Full-time
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