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26/09 John
Talent Acquisition Consultant at Huquo Consulting Pvt Ltd

Views:6878 Applications:480 Rec. Actions:Recruiter Actions:478

Senior Manager - Process Excellence & Analytics - IIT/IIM/NIT/BITS (6-10 yrs)

Noida Job Code: 618069

Job Description

Proficiency in:-

a) Business strategy, solution development

b) Process mapping and excellence

c) Monitoring key business metrics

d) Process Automation

e) Lean Six Sigma Certification

f) Analytics (Stats Modeling)

Academic Qualification

a) Engineer from premier engineering college

Key Responsibilities

Business Strategy and Analytics

- Ability to view sectional business problems and offer Strategy solutions either via technology, financial control or business process automation

- Identify key business process risks, evaluated impact of process gaps / improper implementation and developed solutions to mitigate identified risks

- Provide process improvement and support through business analytics to business management constantly aligning with objectives

- Process mapping and excellence

- Helping build an operational backbone by developing structured standard operating procedures

- Working with operational teams to identify and plug wastages, reducing costs across business functions using different methodologies (DMAIC, Lean Sig Sigma, Statistical models)

- Monitoring key business metrics

- Building and populating key management dashboards to enable data-driven decision making using business intelligence tool.

- Helping department heads break down company plan in to operational / execution plans; co-developing key performance indicators basis executional plans

- Developing and monitoring key business metrics; assessing and benchmarking financial metrics in Tableau

- Develop detailed financial models simulating various scenarios enabling the departments to optimize terms and cost using analytical tools like R/Python

Process Automation

- Offer solutions which eliminate data redundancy - eliminating duplication and/or business process automation of legacy systems.

- Apply data analytics tools, machine learning, optimization tools to drive efficiency in R/Python

Team Structure

- Reports to Director

Working hours and Days

- Monday to Saturday

- 10:00 am to 6:00 pm

This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

Women-friendly workplace:

Maternity and Paternity Benefits

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