Company Name:-
Genpact

Job Location:-
Bengaluru, Karnataka

Job Summary:-
Assistant Manager – Data Science-SDS002724

With a startup spirit and 90,000+ curious and courageous minds, we have the expertise to go deep with the world’s biggest brands—and we have fun doing it.

Now, we’re calling all you rule-breakers and risk-takers who see the world differently and are bold enough to reinvent it.

Come, transform with us.

Are you the one we are looking for?
We are inviting applications for the role of AM, Data Science
In this role, you will be responsible for Analytical thinking and problem solving, apply analytical approaches to draw insights from related datasets and use data science methodologies to perform data analysis.

Responsibilities
Support for all operational activities associated with Commercial Data Analysis, including but not limited to: planning and forecasting cycles, sales force effectiveness, competency assessment trends.

etc.

Performing data analysis on large and complex data sets which include but are not limited to: SFDC, Apttus (CPQ), Territory Management Reports, Market reports [internal & external], Finance reports, Service reports, Installed Base, literature reviews etc.

Applying various analytical approaches to lead and draw insights from related datasets, using a variety of data science and statistical tools to perform data analysis projects including but not limited to: data visualization, pre-processing, categorical analysis, text mining, statistical methodologies, data science strategies, data management etc.

); Using data science and statistical programming languages to perform data analysis and automate processes.

Build a data structure and reporting process through deep dives into various business parameters, which unequivocally establishes truth in data.

Write concise documents communicating results to stakeholders and visualize data to drive decision making.

Completing data analysis projects, with varying project timelines (e.

g.

hours to weeks)
System oriented (ERP, CRM) with the ability to analyze the data, providing assistance to users, and collaborating with the IT dept.

for validation, testing, and further developments.

Understand the business challenges and identify data-driven business insights with effective presentation of findings at multiple leve

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