Data Analyst - Data Strategy & Marketing

Stryker India Private Limited; Gurugram District; Hybrid; INR 500,000 - 800,000; Full time

Job summary

Stryker India Private Limited in Gurugram is seeking a Data Analyst to support the EDT Data Strategy & Marketing initiatives in a hybrid work model. You will help develop standards, dashboards, and reference materials to accelerate data-driven decision making.

The role requires a Bachelor's degree in a related field and 1+ years of data analysis experience, with skills in SQL and data governance, plus exposure to Databricks or cloud analytics.

Qualifications

• Bachelor's degree in a related field is required.
• 1+ years of experience in data analysis, governance, or analytics.
• Experience researching, documenting, and communicating standards or processes.
• Ability to analyze data, draw conclusions, and present findings clearly.

Responsibilities

• Support development, documentation, and maintenance of data strategy artifacts and standards.
• Research industry trends in data management to inform recommendations.
• Assist with roadmap planning, milestones, and reporting on data strategy initiatives.
• Develop reference materials, playbooks, templates, and standards documentation.
• Analyze metrics measuring adoption, maturity, and value of data capabilities.
• Collaborate with governance, engineering, and business teams to align on priorities.
• Support training materials and stakeholder updates related to data practices.
• Evaluate data platform, catalog, and tooling to inform capability decisions.
• Assist responsible use of AI tools to accelerate research, analysis, and documentation.
• Follow governance, security, privacy, and quality expectations; work customer-focused.

Skills

SQL

Data analysis

Data governance

Documentation

Education

Bachelor's degree in Computer Science, Information Systems, Analytics, or related discipline

Tools

Databricks

Cloud analytics platforms

Data catalog tooling

Job description

Data Analyst, EDT Data Strategy & Marketing Work Flexibility: Hybrid

What you will do:

• Support development, documentation, and maintenance of enterprise data strategy artifacts, standards, and frameworks.
• Research industry trends, tools, and leading practices in data management, governance, and analytics to inform strategic recommendations.
• Assist with roadmap planning, milestone tracking, and reporting on data strategy initiatives.
• Develop and maintain reference materials, playbooks, templates, and standards documentation for enterprise data practices.
• Compile and analyze metrics that measure adoption, maturity, and value of enterprise data capabilities.
• Partner with governance, engineering, delivery, and business teams to gather input and align on strategic priorities.
• Support enablement and communication activities, including training materials, internal marketing content, and stakeholder updates.
• Assist with evaluation of data platform, catalog, and data management tooling to support capability decisions.
• Support responsible use of AI tools, including Microsoft Copilot, to accelerate research, analysis, and documentation.
• Follow enterprise governance, security, privacy, and quality expectations for assigned work.
• Works effectively across teams and maintains a customer- and stakeholder-focused approach.

What you will need:

• Required Qualification: Bachelor’s degree in computer science, Information Systems, Analytics, or related discipline required.
• 1+ years of experience in data analysis, data governance, analytics, or a related data discipline.
• Experience researching, documenting, and communicating standards, processes, or recommendations.
• Ability to analyze data and information, draw conclusions, and present findings clearly.
• Familiarity with data management, governance, and analytics concepts and enterprise data platforms.
• Strong attention to detail and ability to manage assigned tasks, deadlines, and follow-ups.
• Experience with SQL, data cataloging, or data governance and quality tooling preferred.
• Exposure to modern data platforms (e.g., Databricks, cloud analytics) and metadata or catalog tools preferred.
• Data management, governance, or analytics certification (e.g., DAMA/CDMP, cloud data fundamentals) preferred.
• Travel Percentage: 10%
• Experience Level Entry Level