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Technical Data Analyst in Chicago, IL at Stryker Corporation

Date Posted: 3/7/2019

Job Snapshot

Job Description

The Data Analyst will focus on creating healthcare analytics to improve patient outcomes and client efficiencies for our Stryker Performance Solutions. The successful candidate will have strong SQL and data modeling skills, and a good understanding of statistical modeling techniques.

The Data Analyst will work with data from various healthcare data sources, creating custom business rules, building data pipelines, reports, and data visualizations, collaborating with data engineers on data architecture and design, creating technical documentation, and participating in selection of new data technologies for use in solutions. Select responsibilities include:

  • Work closely with a variety of internal and external stakeholders to ensure that problems are well defined and understood.
  • Work with other senior analysts and data engineers to identity and understand source data system & business requirements for solutions delivery.
  • Identify and support business needs and recommend / provide holistic solutions that integrate with existing data and technical solutions.
  • Identify and recommend new data analysis needs, new datasets, and new solutions to help meet business goals.
  • Work with Business Analysts in understanding system requirements, producing both business process and technical documentation, and translating into data solutions.
  • Technical Design, Development, Testing and Delivery of data solutions.
  • Maintain existing data solutions, reports & dashboards, and identify and act upon opportunities to improve the system process flow, performance and technical efficiencies.
  • Conceptualize and build reports leveraging visualization tools in Power BI, Tableau, R etc., to effectively communicate data driven insights to customers and internal audiences.
  • Collaborate with data engineers regarding the overall data architecture and design.
  • Help formulate deployment strategies.
  • Participate in investigation of new technology solutions and selection of new technologies, consult on requirements, building prototypes.
  • Write specifications, develop architectural concepts and artifacts, create technical documentation for architected solutions.
  • Map source data to models that describe processes and data flows related to applications of simple to moderate complexity.

Qualifications & Work Experience:

  • 2-4 years of SQL programming experience, analyzing data and producing reports.
  • Strong data analysis and problem-solving skills including knowledge and experience with SQL (T-SQL, PL SQL, etc.).
  • At least 1 year working on Python (pandas, matplotlib, bokeh, seaborn, plotly, numpy) and/or R (plotly, ggplot2, dplyr) for data manipulation and visualizations.
  • Experience working on mainstream cloud infrastructures such as MS Azure or AWS would be a plus.
  • Good understanding and technical knowledge of data modeling, integration and data services, including best practices and emerging technologies.
  • Knowledge of statistical modeling/predictive modeling/machine learning/optimization and big data concepts.
  • Experience using de facto standard software development practices and tools such as SDLC and Agile, Team Foundation Server (VSTS), GIT, Jenkins, coding standards, and process standards is desirable.
  • Implementing solutions using serverless data lake data stores and separate compute engines.
  • Ability to pick up and learn new technologies quickly.
  • Experience with report development in SQL Server Reporting Services (SSRS) and SQL Server Analysis Services (SSAS), including report models and the Semantic Modeling Language (SMDL), and experience with other tools such as Power BI, Cognos, Business Objects, Experience with Crystal Reports, Tableau is desirable.
  • Familiarity with dimensional data modeling, Multidimensional analysis and report writing, including cube development; understanding of differences between MOLAP, ROLAP, OLAP, Tabular Cubes.
  • Experience with Data Analysis Expressions (DAX) and Multidimensional Expressions (MDX) is desirable but not required.
  • Understanding of Star and Snowflake schemas, Facts, Dimensions, and Slowly Changing Dimensions.
  • Experience converting user requirements into deliverable reports and analytical data sets.
  • Experience with designing and creating dashboards including best practices and how they contrast to reporting.
  • Healthcare industry and data experience preferred.
  • Demonstrated ability to prioritize and execute tasks.
  • Deep analytic skills and experience using metrics to inform decisions.
  • Proficiency with healthcare analytics and data structures.

Work From Home: No

Travel Percentage: Up to 25%

Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer – M/F/Veteran/Disability.

Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.

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