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.
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.).
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.