Microsoft Recruitment 2025 brings an exciting career opportunity for experienced analytics professionals through its Data Analytics II hiring drive in India. As part of Microsoft’s rapidly expanding Cloud business, this role plays a critical part in shaping data-driven decisions that support global cloud infrastructure and AI growth. For candidates looking to build a long-term career with a world-class technology organization, this opportunity offers exposure to large-scale data systems, strategic planning, and cross-functional collaboration.
This hiring drive is especially relevant for professionals searching for Microsoft recruitment 2025, analytics jobs in Bangalore, and roles that blend business intelligence with supply chain and cloud planning. While not an off campus drive for fresh graduates, it is an excellent next-step role for early- to mid-career professionals aiming to work on impactful, global projects.
Microsoft Recruitment 2025
| Details | Information |
|---|---|
| Company Name | Microsoft |
| Job Role | Data Analytics II |
| Job Number | 200017600 |
| Qualification | Bachelor’s / Master’s Degree (Relevant Fields) |
| Experience | 2–8+ Years (Role Dependent) |
| Location | Bangalore, Karnataka, India |
| Work Model | Hybrid (3 days/week in-office) |
| Employment Type | Full-Time |
| Salary | Expected ₹18–30 LPA |
Job Overview
The Data Analytics II role is part of Microsoft Cloud Planning (MCP), the central planning function within CSCP. MCP focuses on forecasting, demand planning, and supply planning for all Microsoft Cloud services and associated hardware.
As an Individual Contributor in the Analytics discipline, the selected candidate will work closely with engineering, supply chain, finance, data center operations, and cloud hardware teams. The role emphasizes transforming complex data into meaningful insights that support strategic, financial, and operational decision-making.
Key Responsibilities
Candidates selected for the Data Analytics II position will be responsible for:
- Engaging with business stakeholders to understand business intelligence and data analytics needs
- Partnering with product engineering, supply chain, finance, data center operations, and cloud hardware teams
- Ensuring alignment across teams toward shared business and operational goals
- Driving analytics initiatives from intake to delivery cycles
- Identifying opportunities for process, tools, and system improvements
- Applying advanced analytics techniques to deliver actionable insights
- Supporting financial and strategic decision-making through data
- Simplifying, automating, and rationalizing data processes
- Developing proactive and predictive analytics models to improve data maturity
This role demands both strategic thinking and hands-on execution, making it ideal for professionals who enjoy solving complex business problems using data.
Skills Required
To succeed in this Microsoft analytics role, candidates should possess a strong mix of technical, analytical, and communication skills:
- Strong background in data analysis, reporting, and business intelligence
- Experience with demand forecasting and supply planning analytics
- Proficiency in BI and data tools such as Power BI, Power Pivot, SQL, Tableau, and Big Data technologies
- Ability to interpret large datasets and identify trends, patterns, and insights
- Strong data visualization and KPI development skills
- Excellent problem-solving and analytical thinking abilities
- Strong communication and stakeholder management skills
- Ability to influence cross-functional teams and collaborate effectively
Why Join Microsoft?
Joining Microsoft means becoming part of an organization that values innovation, inclusion, and continuous learning. Employees benefit from a culture that promotes growth mindset, accountability, and respect.
Key reasons to consider Microsoft recruitment 2025 include:
- Opportunity to work on global cloud and AI infrastructure projects
- Exposure to cutting-edge data analytics and large-scale systems
- Collaborative work environment with diverse, cross-functional teams
- Strong focus on employee development and career growth
- Inclusive workplace with equal opportunity employment practices
Microsoft also places a strong emphasis on security, ethics, and sustainability, making it a trusted employer for long-term career growth.
Salary Details
The salary for the Data Analytics II role at Microsoft is competitive and aligned with industry standards. Compensation typically includes a fixed salary, performance-based bonuses, and additional benefits such as health insurance, paid leave, and learning resources. Final salary details are disclosed during the interview and offer stages.
Hiring Locations
This position is based in Bangalore, Karnataka, with a hybrid work model requiring three days per week in the office. Limited travel may be required, typically less than 25%, depending on project needs.
How to Apply
Interested candidates can apply directly through the official Microsoft Careers portal. Applications are accepted on an ongoing basis, with the role remaining open for a minimum of five days from the posting date.
Microsoft  Apply Link :  Click here
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Note: Before applying, ensure your resume highlights relevant experience in data analytics, business intelligence, forecasting, and stakeholder collaboration. Candidates must also be able to meet Microsoft’s background and security screening requirements.
About the Company
Microsoft is one of the world’s leading technology companies, known for its mission to empower every person and every organization on the planet to achieve more. With products and services like Microsoft Azure, Office 365, OneDrive, Xbox Live, Bing, and MSN, Microsoft serves over one billion customers across more than 90 countries.
The Cloud Supply Chain (CSCP) organization within Microsoft supports the backbone of its cloud and AI infrastructure. CSCP manages planning, sourcing, manufacturing, delivery, sustainability, and decommissioning of data center assets worldwide. Supporting over 300 data centers globally, this team ensures Microsoft’s cloud services operate reliably, efficiently, and at scale.
