Short Description:
This job is for a Data Analyst II position located in Hyderabad, India, within the Data & Applied Sciences team at Microsoft. The role involves analyzing user data to derive insights, inform strategic decisions, and drive product performance across various Windows products. Candidates should possess a Bachelor's or Associate's Degree in a relevant field, along with proficiency in SQL and Python for data analysis. Experience with statistical analysis, experimentation evaluation, and causal analysis is desirable. The role offers an opportunity to contribute to shaping the future of technology by leveraging data-driven insights.
Position: Data Analyst II
Company: Microsoft
Location: Hyderabad, Telangana, India
Job type: Full time
Job mode: Hybrid
Job number: 1697318
Overview
Introduction
Are you deeply passionate about data and analytics? Do you thrive on uncovering key insights to drive product innovation and business success? If you possess a relentless drive for understanding and predicting user behavior through data analysis, then we want to connect with you!
Team Description
Join our dynamic Data & Applied Sciences team based in Hyderabad, India, dedicated to leveraging advanced analytics and data science to inform strategic decisions and enhance product performance across various Windows products. We are committed to utilizing the power of machine learning and artificial intelligence to solve critical business challenges and shape the future of collaboration experiences and personal computing.
Responsibilities
Business Intelligence Ownership
As a Data Analyst, you will specialize in owning and analyzing critical business questions, collaborating closely with cross-functional teams including program management, development, design, and hardware and application partners. Your primary responsibility will involve curating and maintaining Key Performance Indicators (KPIs) to track progress towards business objectives.
Data Analysis and Insights Generation
You will leverage your expertise to deeply analyze real-world user data, identifying actionable insights and experiment ideas to drive business metrics. Your role will encompass evaluating the return on investment for new initiatives, assessing if investments align with customer and business expectations, and designing and evaluating experiments to measure growth and performance.
Strategy Development and Optimization
Drawing on your analytical prowess, you will contribute to strategic decision-making processes by providing insights that inform investment priorities and identify emerging opportunities and challenges. Your ability to conduct statistical analysis and causal analysis will be instrumental in guiding strategic investments and optimizing product performance.
Qualifications
Education and Experience
- Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or related field; OR Associate's Degree with relevant experience.
- Proficiency in SQL and common database management.
- Demonstrated ability to perform quick data analysis using Python.
- Experience in statistical analysis and deriving actionable insights from datasets.
- Familiarity with evaluating experimentation and performance metrics.
- Knowledge of causal analysis is advantageous.
Skills
In addition to technical qualifications, the following skills are essential for success in this role:
- Algorithm Development
- Analytical Skills
- Data Cleaning
- Data Evangelism
- Data Integration
- Data Integrity
- Data Mining
- Data Visualization
- Database Querying
- Dependency Management
- Detail Orientation
- English Language Proficiency
- Oral Communication
- Problem Solving
- Research
- Statistics
- Technical Communication
- Technical Expertise
If you are enthusiastic about leveraging data to drive innovation and impact, and if you possess the skills and expertise outlined above, we invite you to join us in propelling Windows forward. This is an opportunity to be at the forefront of shaping the future of technology and making meaningful contributions to the world of data analytics and business intelligence. Apply now to embark on an exciting journey with us!
Please click here to apply.
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