Company Name:-
Microsoft

Job Location:-
Hyderabad, Telangana

Job Summary:-
Do you have a passion for and a desire to shape the business insights into a competitive differentiator and elevate to the next level in business intelligence? Desire a pivotal role in the transformation of BI capability for a global business that is immersed in Microsoft’s full product and services catalog? Are you looking for an opportunity to work with a great team in a high impact position? We’re looking for a talented professional to join our team!
Modern Analytics & Insights function endeavors to foster an insights-driven culture; to encourage and enable positive business outcomes across the organization by driving right behaviors and decisions through bold insights.

This team understands the business goals, strategic drivers, success outcomes and associated behaviors.

You will partner to meet a spectrum of demand across insights, analytics, decision-boards & scorecards.

Your passion and desire to define and enact the vision for insights & analytics will shape this function into a competitive differentiator.

Come join a team where you can enable data insights that drive multi-billion-dollar business!
As Business Analytics Specialist you will contribute to continuing the team’s progress toward being a recognized hub for forward thinking in the field of advanced data analytics.

The team consists of experts in statistical data analysis, machine learning, driver analysis, forecasting, big data technologies, and customer analytics etc.

We are looking for a talented and motivated analytics professional who can drive descriptive and predictive analytics solutions and solve a wide variety of business problems with data insights – all with the goal of providing actionable insights into business processes and customer experience.

For the right individual, this job offers a gateway to an ocean of opportunities in the area of:
Using data to optimize sales opportunities, identify delivery issues and understand customers
Recommending delivery resources and optimization to ensure margin
Predicting revenue and developing insights to prevent loss
Ensuring customer satisfaction through timely deployment of resources and delivery of outcomes
Improving throughput and efficiency of support centers for incident management
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