Job Summary:
Consultant - Operational Analytics - Predictive Asset Maintenance (PAM)
The candidate will be responsible to create, configure, and monitor predictive maintenance models for predicting equipment failure based on periodic or live data feed from client sites. In order to do this, the candidate will interface with clients to understand engineering aspects of complex equipment and equipment history to create predictive models.
Additionally, the role would require support for pre-sales as well as creation of re-usable assets and publications based on past Accenture projects. The roles would be based out of India but may require extended travel and stay overseas and in India as per company policy.
Experience:
Ideal candidates would have an engineering degree preferably in chemical/mechanical/petrochemicals/ utilities domain. A minimum 2-3 years of experience in maintenance or related areas is needed with at least 1 year in analytics. Hands-on experience with at least one relevant analytics tool is important (e.g. R, SAS, SPSS, Minitab etc.).
Mandatory Skills:
- Deep understanding of predictive asset modeling
- Past experience with tools in the predictive analytics domain
- Appreciation of underlying business fundamentals in the predictive maintenance area
- Strong written and oral communication skills
- Proficiency with MS word, excel and PowerPoint
- Knowledge of SQL or other DBMS would be preferred.
Shruthi
Diversity Initiatives
Inclusion Network: Shine Network
This is an inclusive business network for our LGBTQ+ community and it is all about breaking down barriers of difference and connecting people. Shine celebrates each person’s uniqueness, regardless of sexuality, race, gender, religion...........See More
Didn’t find the job appropriate? Report this Job