Microsoft is hiring for Data Analyst

Basic Job Details

Company Name: Microsoft 

Position: Data Analyst

Experience: Freshers/Experinced

Location: Hyderabad, Telangana, India

Qualification: Bachelor’s Degree 

Salary: 12 – 24 LPA (Expected)

Overview

1. Do you have an insatiable curiosity for data and analytics?
2. Are you passionate about leveraging data insights to drive product development and business decisions?
3. Are you excited about influencing the future of collaboration and personal computing?
4. Join our Data & Applied Sciences team based in Hyderabad, India, where we focus on enhancing Windows products through advanced analytics and data science.
5. Our mission is to utilize the power of machine learning and artificial intelligence to inform decision-making processes, improve product performance, and maximize business impact.
6. As part of our team, you’ll delve into real-world user data to uncover valuable insights, drive experiments, and make recommendations that directly contribute to business success.
7. We are seeking individuals who can evaluate the return on investments, assess customer satisfaction, and identify growth opportunities, shaping the future of Windows products.

Responsibilities

1. Take ownership of analyzing and understanding the business questions pertinent to our team’s objectives.
2. Develop and maintain Key Performance Indicators (KPIs) that track progress towards achieving our business goals.
3. Utilize advanced data analysis techniques to identify hidden patterns and trends that can positively impact our business objectives.
4. Provide actionable insights and recommendations to guide investment strategies and prioritize efforts towards customer segments and initiatives that drive business growth.
5. Collaborate closely with cross-functional teams including program management, development, design, hardware, and application partners to align data-driven insights with product development efforts.

Qualifications

1. A Bachelor’s Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics, or a related field is required.
2. Proficiency in SQL and experience conducting data analysis using Python are essential.
3. Demonstrated experience in statistical analysis, experimentation, and hypothesis testing.
4. Strong analytical skills with the ability to interpret complex datasets and derive meaningful insights.
5. Additional skills such as algorithm development, data visualization, problem-solving, and technical communication are highly desirable.

Benefits/Perks

1. Access to industry-leading healthcare benefits.
2. Extensive educational resources to support professional development.
3. Discounts on a wide range of products and services.
4. Comprehensive maternity and paternity leave policies.
5. Generous time-off allowances for personal and professional commitments.
6. Participation in giving programs to contribute to community initiatives.
7. Opportunities to network and connect with professionals in the field.

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