Divn MGR - Analytics (Data Engg & Mngmt)

Department Icon Data Science Analytics & Machine Learning
149+ Applicants
Posted: 4 years ago
8-10 years
Akurdi
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Posted: 4 years ago
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Applicants: 150+
Job Description
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Job Description




    Experience
    12 - 30 Years


    Location
    AkurdiMaharashtra


    Nature of Job
    Manufacturing


    Job role
    Manufacturing Engineering










Division



MIS




Department





MIS








Level / Grade




L2




Functional Area




Analytics











1




Job Title




Divisional Manager – Analytics/ Advanced Analytics







2




Reporting



Functional reporting to
: Vice President MIS (Analytics)





3




Background



i) Educational Qualification







Desirable:

BE / B Tech / ME / MTech / DBA / Phd. in Computer Engineering / Computer Science / Data science / Machine Learning / MSc Statistics






ii) Experience




Minimum:

12 years



Maximum:

30 years






iii) Age Limit




Minimum:

30 years



Maximum:

45 years






4




Job Role & Responsibilities




Role: Attached separately








Responsibilities:




  • Conceptualizing, aligning and driving analytics driven insights for Bajaj Auto businesses & functions


  • Partnering with business and functional analytics teams in defining analytics problem statements and driving impactful solution delivery


  • Developing analytics capability / maturity of the MIS team and the organization


  • Liasioning between business and analytics partners


  • Building on team’s analytical skills and business knowledge


  • Designing and delivering solutions as per industry standards and frameworks


  • Creating roadmap of technical solutions and capabilities


  • Partnering with data governance / data engineering teams to align and deliver high quality analytic solutions in a timely and cost effective manner








5



Competency Requirements





Technical/ Functional:




  • Demonstrated expertise in driving business value with analytics for Supply Chain, HR, Engineering, Finance and other functions


  • Proven skills in translating analytics output to actionable recommendations, and delivery


  • 8+ years of experience working on data science, advanced analytics, and machine learning topics in a business context


  • Experience in articulating business impact through analytics


  • Proven skills in managing end-to-end analytics project delivery from requirement gathering to production deployment


  • Demonstrated ability to incorporate new analytical techniques to solve business problems


  • 8+ years of experience leading a technical team, managing competing deadlines


  • Preferred experience in one or more of domains like supply chain analytics, retail, e-commerce, manufacturing analytics


  • Keenness to “roll up the sleeves” and seeks to go outside comfort zone to learn


  • Innovative and collaborative mindset









Behavioral



  • Ability to handle stakeholders with fairness and firmness

  • Ability to be assertive and polite, respectful and sensitive to others’ opinions, beliefs and perspectives while putting forth one’s own point of view confidently and objectively

  • Ability to drive agreements and get team committed to decisions taken









Specific expertise required for functional area:




  • Strong execution of all initiatives adhering to best-practices and fundamentals of analytics project management

  • Very good understanding of data engineering concepts and data governance, including feature engineering, data processing and datalake / datawarehouse functionalities

  • Knowledge of and experience of working with Analytics cloud service providers like Azure ML, AWS and GCP

  • Knowledge of domain-specific capabilities of these platforms is an added advantage








6




Likely sources





Organization example




  • Internal Analytics teams of other Automobile companies like Maruti, Hero, TVS, Ashok Leyland..

  • FMCG or BFSI internal analytics teams

  • Analytics service providers like Deloitte, PwC, E&Y, MuSigma, Fractal Analytics, Evalueserve

  • Software product companies like Microsoft, Google Cloud Platform, Amazon

  • IT enabled services companies such as Infosys, TCS, Wipro, CTS etc.










Skills

MISAnalyticsStatisticsLiasioningFinance

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About Company

The Bajaj Group is amongst the top 10 business houses in India. Its footprint stretches over a wide range of industries, spanning automobiles (two-wheelers and three-wheelers), home appliances, lighting, iron and steel, insurance, travel and finance. The group's flagship company, Bajaj Auto, is ranked as the world's fourth largest two- and three- wheeler manufacturer and the Bajaj brand is well-known across several countries in Latin America, Africa, Middle East, South and South East Asia. Founded in 1926, at the height of India's movement for independence from the British, the group has an illustrious history. The integrity, dedication, resourcefulness and determination to succeed which are characteristic of the group today, are often traced back to its birth during those days of relentless devotion to a common cause. Jamnalal Bajaj, founder of the group, was a close confidant and disciple of Mahatma Gandhi. In fact, Gandhiji had adopted him as his son. This close relationship and his deep involvement in the independence movement did not leave Jamnalal Bajaj with much time to spend on his newly launched business venture. We are celebrating 125th Birth anniversary of Shri. Jamnalal Bajaj on 4th of November 2014. His son, Kamalnayan Bajaj, then 27, took over the reigns of business in 1942. He too was close to Gandhiji and it was only after Independence in 1947, that he was able to give his full attention to the business. Kamalnayan Bajaj not only consolidated the group, but also diversified into various manufacturing activities. The present Chairman of the group, Rahul Bajaj, took charge of the business in 1965. Under his leadership, the turnover of the Bajaj Auto the flagship company has gone up from INR.72 million to INR. 120 billion, its product portfolio has expanded and the brand has found a global market. He is one of India’s most distinguished business leaders and internationally respected for his business acumen and entrepreneurial spirit.

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Important dates & deadlines?

Application Deadline

11 Sep 22, 12:00 AM IST

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Divn MGR - Analytics (Data Engg & Mngmt)

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