Data Engineer - Post Market (HYBRID)

Work Flexibility: Hybrid

Who We Want:

• Detail-oriented process improvers. Critical thinkers who naturally see opportunities to develop and optimize work processes – finding ways to simplify, standardize, and automate. 
• Meticulous documenters. Detail-oriented people who enjoy maintaining meticulous documentation of reports, metrics, proposals, and presentations. 
• Strategic thinkers. People who enjoy analyzing data or trends for the purposes of planning, forecasting, advising, budgeting, reporting, or sales opportunities. 
• Dedicated achievers. People who thrive in a fast-paced environment and will stop at nothing to ensure a project is complete and meets regulations and expectations. 

What You Will Do:

 Responsible for providing automated, accurate data sets that may be used by other data analysts or segments of the business. 

In addition to responding to requests from the business, this position will also be responsible for identifying new opportunities and technologies to help drive a data-driven culture. This includes proposing new data reporting solutions for internal/external customers, identifying & demonstrating capabilities of new software platforms, and providing training & resources to help empower self-service analytics within the business. 

Responsibilities may include:

• Implement automated reporting dashboards to track key business metrics across multiple segments of the business.
• Perform data analytics activities for quality system data.
• Identify actionable insights and suggest recommendations to influence the direction of the business and cross-functional teams.
• Participate in improvement by enhancing existing databases, data collection methods, statistical methods, technology, procedures, and training.
• Work with cross-functional teams to determine analytic/statistical needs, define key metrics, measure business performance, and implement data-related initiatives/tasks.
• Develop and maintain internal procedures and documentation that encompass the full lifecycle of data analytics-related activities.
• Understand business objectives for data analytics and ensure adherence to established business and data processes.
• Coach and mentor others in data analytics-related activities.

What You Will Need:

Basic Qualifications:

• Bachelor’s degree in computer science, data analytics, mathematics, statistics, data science, or related field
• Excellent written and oral communication skills
• Excellent organizational, problem-solving, and analytical skills
• Demonstrated ability to conduct a careful study of data and information in a methodical way
• Working knowledge of business intelligence and analytics platforms (e.g. Tableau, Power BI) and how to effectively utilize them within a business.

Preferred Qualifications:

• Statistical background and/or demonstrated statistical experience

• $87k - $136k salary plus bonus eligible + benefits. Actual minimum and maximum may vary based on location. Individual pay is based on skills, experience, and other relevant factors.

Travel Percentage: 10%

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.