Senior Analyst

What will you do :

• Leads discussions with key stakeholders to ensure that key business questions and problems are well defined and understood
• Assists or leads the design, development and delivery of data sets / solutions to help meet business objectives
• Design, build, maintain data pipelines that procure, transform and structure data from multiple systems into a format that can be easily used by downstream users in the data lake, Proficiency with Delta Format for data engineering workloads , leads ETL processes to develop data models and have them available within the appropriate application to be utilized by data analytics function and business users, manage the implementation, organization, and administration of various data platforms (e.g. Azure, Power BI etc.), Setting up role-based access controls / service principal access, configuring azure resources as per requirement, Integrating azure resources and Databricks analytics platform
• Create tools to proactively monitor that data stats and reports / dashboards are accurate and updated when expected
• Lead culture of continuous improvement by enhancing existing databases, data collection methods, statistical methods, technology, procedures, and training
• Partner with data custodians and process experts to ensure quality of data and definitions to support building reliable data models and analysis
• Demonstrates well-developed ability to anticipate impact and to proactively take initiative beyond direct responsibilities
• High volume or complex work is completed in a timely and thorough manner with minimal rework

What you will need :

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.

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Skills Required

Alteryx, Power Bi, Analysis Services, Tableau, Sql, Azure Data Factory, Spark, Databricks, Dax, Python