Oceaneering Principal Data Analyst in Chandigarh, India
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Job ID14935 LocationChandigarh, India
Full/Part TimeFull-Time Regular/TemporaryRegular
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Oceaneering is a global provider of engineered services and products, primarily to the offshore energy industry. We develop products and services for use throughout the lifecycle of an offshore oilfield, from drilling to decommissioning. We operate the world's premier fleet of work class ROVs. Additionally, we are a leader in offshore oilfield maintenance services, umbilicals, subsea hardware, and tooling. We also use applied technology expertise to serve the defense, entertainment, material handling, aerospace, science, and renewable energy industries.
Develop and implement Data Analytics and Predictive modelling solutions, methods and/or tools to optimize Integrity Management programs for various installations, factories and process facilities.
Duties & Responsibilities
Understand client's integrity management need that can be fulfilled with data analytics / predictive modelling and create a problem/SoW statement
Define solution approach that requires use of data analytics and predictive modelling
Present solution approach to higher management as well as client for their approval, address technical queries
Identify and obtain inputs (data variables) needed for the problem/SoW defined
Perform quality checks on data obtained, clean and finalize data points to be used for further processing
Understand and establish correlations among data sets, points
Develop predictive models
Project and simulate all possible outcomes, quantify risk and confidence levels for each outcome
Revise intervention strategy to align with predictive model
Define relationships of causal factors and underlying impediments with asset performance
Deduce future performance and recommend optimized intervention / maintenance / integrity management plan
Lead projects / assignments that involves team members from other functions like Integrity Engineering and Maintenance Engineering
Prepare detailed analysis report on data analytics assignments and present it to client
Develop software, tools to automate entire or part of process enabling faster, consistent and accurate execution of data analytics assignments
Supervise individual contributors within department and review & approve their work for quality
Train, coach other members in the team
Define functional processes, checklists
Ensure compliance by other team members to established processes
Act as single point of contact for other Oceaneering teams spread across the world
Identify functional training needs and facilitate training implementation
Keep abreast of industry trends and issues
Evaluate need of resource (people, software etc.) and provide recommendations to line manager
Develop strong relationships internally with the integrity management team and externally with Clients as well as Contractors and site personnel to ensure excellence in delivery and an effective integrity service
Undertake offshore or site visits as and when required
Support the Line Manager in management of Oceaneering contract providing assurance on technical delivery and cost management including budgets/forecasting
The list of job duties is not exclusive or exhaustive and the post holder will be required to undertake tasks that may reasonably be expected within the scope of the post
Assist with any other duties as and when required
Undertake specific projects as instructed by management
Ensure that the Safety policies and procedures are understood and adhered to so far as is reasonably practicable in order to ensure a safe working environment.
Carry out work in accordance with the Company Health, Safety, Environmental and Quality Systems.
Perform the assigned tasks with due diligence regarding the Integrated Management Systems on the Company.
Eliminate waste of whatever form, to suggest the use of more environmentally friendly substances and practices and contribute to the continuous improvement of the environment.
- This position may have technical supervisory/leadership responsibilities
- Bachelor’s Degree / Master’s Degree / PhD in Technical field; Statistics, Computer Science, Mathematics, Physics, Engineering or similar
Knowledge, Skills, Abilities, and Other Characteristics
- Minimum 8 years of relevant experience in relation to the job description with Bachelor’s Degree,
OR Minimum 6 years of relevant experience in relation to the job description with Master’s Degree
OR Minimum 4 years of relevant experience in relation to the job description with PhD
Experience, track record of leading technical projects
Expertize of mathematical modelling, statistics, preferably Bayesian and/or computational statistics
Strong Python or R programming background
Experience in object-oriented programming
Linear algebra and solid statistics knowledge
Knowledge of mathematical modelling
Experience with generic and parallel programming
Understanding of Machine Learning
Ability to work independently and communicate complex technical ideas
Good communicator, both written, verbal and technical to make complex terminology simple for the benefit of others
Good ability to develop relationships with client and/or contractor personnel at various levels of seniority and from diverse cultures
Strong analytical and problem solving capabilities
This position is considered OFFICE WORK which is characterized as follows.
Almost exclusively indoors during the day and occasionally at night
Occasional exposure to airborne dust in the work place
Work surface is stable (flat)
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
This position is considered LIGHT work.
Lift up to 20 pounds
Climbing, stooping, kneeling, squatting, and reaching
Lift up to 10 pounds
Repetitive movements of arms and hands
Sit with back supported
We offer a competitive salary, a comprehensive benefits package and the opportunity to advance in an international company. To apply, click 'Apply Now'.