Advanced Analytics Lead, Manufacturing - Bangalore

We are also looking for following positions in addition to Advanced Analytics, all for Bangalore

Sales Analytics

HR Analytics

Corporate Finance Analytics

Marketing Analytics

Tableau Developers

SAS, SQL Developers

Define Analytics strategy & solutions along with technical requirements of the solutions to meet the demands of business requirements.
Integrates advanced analytics into end-to-end business intelligence solutions and operational business processes
Conduct sophisticated data mining analyses and build data mining models, as required, to aid in the solution development. Translate data mining results into clear business focused deliverables for decision makers.
Develop and implement various types of predictive models, machine learning approaches and other data mining solutions creating solutions that help businesses and products make decisions.
Process machine logs. Aggregate logs from multiple machines to deploy data mining models into operational systems. Build failure prediction models and NOTIFY at predetermined thresholds of confidence.
Designs and/or contributes to the development of a data mining systems that enable reuse, efficiency, manageability and deployment.
Act as a Principal who analyses and develops enterprise-wide analytics solutions. Leads in the technical assessment and delivery of specific technical capabilities.
Acts as a key member providing technical insight on solution design, operations system architecture, tuning and modification of solutions.
Engages in technical problem solving across multiple technologies; often needs to develop new methods to apply to the situation.

Qualification & Experience

5-7 years of overall experience in the field of Advanced Analytics / Data Mining preferably in Manufacturing Analytics' space
Expert use of data mining methodologies such as classical regression, logistic regression, CHAID, CART, neural nets, association rules, sequence analysis, cluster analysis, and text mining.
Expert use of SQL and experience with relational databases.
Experience with Hadoop, Map/Reduce, Hive , Statistica Data Miner, Amazon Machine learning, MS Azure or equivalent
Has sufficient depth and breadth of technical knowledge to design and scope multiple deliverables across a number of technologies.
Ability to work in a multi technology environment with the ability to diagnose complex technical problems to their root cause. In addition to troubleshooting skills and consulting skills, has ability to summarize prognosis and present.
Has demonstrated ability in the gathering of requirements, designs, plans and estimates.
Demonstrates broad knowledge in other related technical areas in order to properly manage complex integration efforts.
Passion and deep technical competency in quantitative methods and/or business analytics.
Strong business focus. Must excel at connecting business requirements to data mining objectives and to measurable business benefit.
Excellent communication and presentation skills.

EDUCATION: B.Tech/ M.Tech /M.Sc or MBA graduates