Senior Data Analyst, Customer Analytics

Work Flexibility: Remote

As a Senior Data Analyst, you will lead the design and implementation of data and information architecture that supports Stryker’s Customer Solutions strategy. This role focuses on enterprise-wide customer, pricing, and business intelligence initiatives, delivering insights that help business leaders and sales teams make informed decisions around strategy, opportunities, negotiations, and growth.

You will leverage tools such as Power BI, SQL Server, and Excel to maximize revenue and margin through data-driven pricing and contract strategies.Additionally, you will develop,maintain, and scale data models and analytics solutions, build strong partnerships across the business, and provide exceptional support to internal stakeholders and sales teams.

What You Will Do

• Sustain& troubleshootPowerBIdashboards and reports that provide actionable insights for business leaders and commercial teams.

• Collaborate with Customer Solutions teams to develop new analytics tools & insights.

• Translatebusinessdata into digestible reports and dashboards.

• Investigate reporting issues and provideexpertiseto resolve and follow-upin a timely manner.

• Monitor use of reports and dashboards togagevalue and increase use across supported business units.

• Work efficiently with large data sets to derive insights.

• Create/modifycustom Structured Query Language (SQL) for complex data pulls.

• Manage the prioritization of projects/tasks to ensure proper tracking and delivery of requests.

• Partner with the Customer Solutions team to drive increased data literacy and adoption of data-driven insights related to contracts and pricing.

• Contribute to a culture of continuous improvement byidentifyingand implementing enhancements to existing analytics tools, databases, data collection methods, statistical methods, technology, and training methods.

What You Will Need

Required

• Bachelor’s degree.

• Minimum 2 years of data analytics experience.

• Experience creating andmaintainingbusiness reports and dashboards in Power BI and Microsoft Excel.

• Experience with SQL Server, including writing complex queries, data analysis, reporting, and database management.

• Experience working with database concepts, data structures, and basic data modeling.

• Effective presentation, written, & verbal communication skills, including the ability to explain data and findings.

Preferred

• Master’s degree.

• Experience with Python, R, statistical analysis, or database technologies.

• Experience supporting contract and pricing analytics.

United States of America Pay Ranges:

• USN: $77,700 - $129,500 USD Annual
• US5: $81,600 - $136,000 USD Annual
• US10: $85,500 - $142,500 USD Annual
• US15: $89,400 - $148,900 USD Annual
• US20: $93,200 - $155,400 USD Annual
• US30: $101,000 - $168,400 USD Annual

View the U.S. work location and transparency guide to find the pay range for your location.

Travel Percentage: NoneStryker 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.

Originally posted on Himalayas