Data Analytics Engineer
Intelligent Medical Objects
Nơi làm việc
Rosemont, IL, United States
Hình thức tuyển dụng
Toàn thời gian
Chi tiết công việc
Research shows that women and underrepresented groups only apply to jobs only if they think they meet 100% of the qualifications on a job description. IMO is committed to considering all candidates even if you don’t think you meet 100% of the qualifications listed. We look forward to receiving your application!
Work that is meaningful. A job that has impact. Colleagues that inspire. That’s what you’ll find at Intelligent Medical Objects (IMO), a growing health IT company creating clinical terminology and insights solutions that are used by more than 740,000 US physicians and 4,500 US hospitals to power better patient care and support meaningful analytics.
The Data Analytics Engineer will support our software developers, database architects, data analysts, and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.
Join our growing Software Engineering department as a Data Analytics Engineer to help design, create, and support high quality solutions that support 80% of US clinicians and build the application of Data Engineering within IMO!
Responsibilities
• Build complex visualizations that tell a story about data.
• Embed analytical solutions into web and mobile applications using embedded analytics.
• Design, develop and maintain business intelligence solutions using PowerBI/Tableau, SQL, and other tools
• Maintain analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Develop proficiency in our tech stack for optimal ETL from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Deliver quality products leveraging the values of transparency, inspection, and adaptation in an agile way. Takes ownership to proactively anticipate the implications and consequences of situations and acts appropriately to make decisions.
Requirements
• A relevant technical BA/ BS Degree and one year of experience, or three years of relevant professional experience implementing well-architected data pipelines that are dynamically scalable, highly available, fault-tolerant, and reliable for analytics and platform solutions.
• Strong experience with SQL and data warehousing techniques. Work with relational and NoSQL databases such as PostgreSQL, Dynambo DB, MongoDB, and Elasticsearch.
• Expertise in data visualization using tools like Power BI, Tableau, or angular/Kendo.
• Experience with embedded analytics, including integrating BI dashboards into web and mobile applications.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
• Experience with manipulating, processing, and extracting value from disconnected datasets.
• Experience with AWS cloud services, such as EC2, EMR, RDS, Redshift.
• Experience with object-oriented/functional scripting languages, such as Python, Java, C++, Scala, etc.
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At IMO, we celebrate diversity and are committed to creating an inclusive environment for all employees. IMO is proud to be an equal opportunity workplace and is an affirmative action employer.
IMO also provides visa sponsorship opportunities. Please don't hesitate to apply if you meet all the qualifications for this position and require visa sponsorship
