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Manager - Insights & Analytics

4 months ago

Bengaluru, India Genpact Full time

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data, technology, and AI.

Inviting applications for the role of Manager, Insights & Analytics 

Cora Ops360 is Genpact’s biggest ops transformation platform which drives radical transparency and insights to drive outcomes by enabling its users access data points in real-time, connecting them behind the scenes, and then adapting their operations at speed and with precision. Operating with collective intelligence from our huge client base, Cora Ops30 helps its users see their business from every angle to uncover opportunities for getting better. Cora ops30 is a multi-dimensional, multi-faceted transformation program that will unlock tremendous value by targeting 3 key business outcomes – (1) revenue acceleration (2) cost reduction and (3) insights to drive business outcomes.

The Cora Ops360 Insights & Analytics Manger is expected to be a statistical, technology specialists who can understand requirements from the business /functional perspective and bring analytics solutions to life. The right candidate should have prior experience in development and delivery of analytics solutions. 

Responsibilities 

Act as a Consultant - Providing thought leadership and best practices related to Process automations, Predictive Analytics / Machine Learning Solutions to Cora Ops360 platform. Identify specific capability, practices, tools, and people that the Insights group would need to design and develop Cora Ops360 capabilities. 

Lead Solutioning - Conceptualize and develop relevant Predictive analytics solutions for Cora Ops360. Envision opportunistic areas with target users by demonstrating relevant and credible Predictive Analytics solutions and paradigms. The role may entail carrying out high level assessment of Analytics readiness and creating the associated analytic benchmarking which may ultimately converge into a specific Predictive Analytics roadmap 

Engage in Pre-Sales – Collaborate in response to RFI/RFPs when it comes to Cora Ops360 insights and predictive capabilities 

Delivery on Insights Engine Solution Roadmap in conjunction with other technology specialists 

Testing analytics solutions; provide inputs for UX for insights consumption 

Maintaining and refining insights engine for better accuracy and results 

Qualifications we seek in you 

Minimum qualifications 

Exposure to Statistical Toolkits such as R, Weka, MATLAB etc. 

Proficient in Python/R programming skills. Java programming skill is a plus 

Direct involvement in working with large volumes of data and coding predictive analytics models (i.e. LSTM, RNN, SVM, decision tree, clustering, logistic regression, linear and non-linear regression).

Knowledge of Deep learning frameworks such as TensorFlow, Keras, Torch, Theano 

Analytics solutions creation / coding experience in verticals such as Pharma, Consumer Goods, Hi-tech, Manufacturing, Insurance with at least 2 years’ experience in delivering analytics on large structured and unstructured data corpuses 

Solid knowledge of concepts in Automations, Machine Learning, Statistics, esp., in their application to learning from large data sources. 

Preferred qualifications/ Skills 

Understanding of Graph DB and tools such as Neo4j etc. 

Understanding of NLP, NLU and Machine learning/Deep learning methods 

SQL/NoSQL, MS Access, databases 

UI development paradigms that would enable Text Mining Insights Visualization, e.g., Adobe Flex Builder, HTML5, CSS3 

Linux, GPU Experience 

Spark, Scala for distributed computing 

Previous experience with Auto ML, IBM Watson etc.

Understanding/experience with the Google Cloud Platform/AWS/Azure and other Big Data solutions such as Cloudera is preferred