Company Name:-
ADCI – BLR 14 SEZ

Job Location:-
Bengaluru, Karnataka

Job Summary:-
BASIC QUALIFICATIONS
Bachelor’s degree in Computer Science/Math/Statistics/Engineering or other equivalent quantitative discipline
5+ years of experience in Forecasting/data science/advanced business analytics
Advanced knowledge of SQL, MS Excel, and Visualization tools
Strong Forecasting & Statistical know how with Experience in Python/R building basic statistical models to address business problems
Experience developing experimental and analytic plans for forecasting modelling, use of strong baselines, and the ability to accurately determine cause and effect relationships using A/B testing
Proven ability to work cross-functionally and delivering automated solutions for customer-facing data science problems

JOB DESCRIPTION
Are you passionate about driving strategic business & statistical modelling decisions by solving complex problems utilizing data? Join Amazon’s Global Data Insights (GDI) and help make a difference for all Amazonians worldwide! The GDI team primarily exists to help Amazon employees get timely answers to their questions and solve their complex HR problems.

In our quest to be the most scientifically run HR organization in the world, we are currently looking for an Analytics Professional to drive actionable insights through sustainable analytical solutions and develop as an expert on problems related to GDI’s volume and demand forecasting.

Amazon is known to be a metrics driven culture.

We need an analyst who is passionate about Customer Experience, who thinks and acts globally, and who has the ability to contribute major new innovations to our Demand Forecasting & Analytics team at GDI.

As a Forecasting Analyst at GDI, you will be responsible for modeling forecasting problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, data mining and visualization techniques.

You will need to collaborate effectively with internal stakeholders and cross-functional teams to analyze forecast variances, identify opportunities to improve operational efficiencies, and deliver successfully against high organizational standards.

The candidate should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range

FOR MORE DETAILS CLICK BELOW LINK

Click Here For More Details