Senior Data Analyst Opportunity 2025 | Microsoft is hiring Senior Data Analyst. The working location is Bengaluru, India. Interested candidates can apply online as soon as possible. The detailed eligibility and application process are given below.
Senior Data Analyst Job Openings At Microsoft | Bengaluru – Overview
| Company Name: | Microsoft |
| Job Role: | Senior Data Analyst |
| Location: | Bengaluru |
| Work Mode: | On site |
| Last Date to Apply: | ASAP |
Job Description
- We are looking for a Senior Data Analyst who is willing to work in a dynamic environment. You will need to be adept at managing business change, evolving requirements, adjustments in a strategic direction, and emerging technologies. You will need to be agile and flexible, yet proficient and disciplined. This is an amazing opportunity to be at the center of building a showcase worthy data capability, the successful candidates should have proven experience in working with ambiguity, program management, a solid understanding of business and engineering priorities, analytical, financial, organizational and communication skills. A passion for operational excellence, learning and mental agility will be valuable.
Skills Required:
- Bachelor’s Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 12+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
- OR Master’s Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 8+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis
- OR equivalent experience.
Responsibilities:
- Business and Data Landscape: Apply in-depth knowledge of the business, evolving data landscape, tools, and technologies to proactively identify opportunities and address business questions across multiple areas.
- Customer/Stakeholder Orientation: Act as a trusted advisor by understanding customer needs and perspectives, validating and advising on requirements, and providing actionable insights. Lead discussions with customers and stakeholders to interpret analytical results, develop insights, and articulate pragmatic recommendations.
- Expertise in Data: Establish expertise in data sources, formats, and data quality issues. Evaluate data sufficiency, address data integrity, quality, and access issues, and build needed data pipelines or integrations. Lead the development of initial/prototype data models and tools to aid business decision-making.
- Data Analysis: Apply optimal analytical and statistical techniques to execute complex analyses involving multiple data sets and sources. Interpret results within relevant business contexts and provide actionable recommendations.
- Reporting and Sharing Results: Share insights through dashboards, reports, data visualizations, interactive self-service platforms, and other means.
- Experimentation and Innovation: Provide recommendations for experimental design and the development of prototypes/proofs of concepts.
- Improvement and Efficiency: Implement methods to create efficiency in analytics and reporting, automate ad-hoc analyses, and share critical domain expertise. Lead the peer review process and auditing of others’ work to ensure quality and relevance of analyses.
- Data Model Evaluation: Conduct thorough reviews of data analysis and analytical modeling techniques. Ensure alignment on definitions and standards across stakeholders, and decide on next steps based on assessment results. Identify new evaluation approaches, metrics, and methodologies.
