A key aspect of the ReVisionz capabilities is to assist asset-intensive organizations with addressing the quality of their asset information – tags, engineering and project records, the flow of records across their project and operations lifecycles and the inter-relationships of this information. The Data Analyst understands asset information and works closely with the Content Enrichment / Migration Consultant to assess the underlying nature of the client's asset information. Responsibilities include:
Collaborate with the Content Analysts/ Consultants and business unit SME's to rigorously interrogate the extracted asset information and assess its state against the business rules as well as industry best practices. - Use SQL skills to apply rules to the information so as to parse the details as applicable. Align the findings to the rules to identify compliance and gaps.
- Prepare XL and/or dashboard reports with which to effectively present findings.
- Use business analyst skills including process model development, workflow, swim-lane and agile workshop processes with which to undertake engagements.
- Facilitate workshops, providing asset information domain expertise and act as a liaison with business unit stakeholders on issues uncovered.
- Interact and communicate professionally with all levels of stakeholders.
- Critically evaluate information gathered, decompose high-level information into details, abstract up from low-level information to a general understanding, and distinguish user requests from the actual underlying needs.
- Understand and develop the means to focus on both project level records and the publication of them to the plant operations vault.
- Support the technical Extract/Transform/Load team members who codify the rules, including but not limited to:
- completion of key requirements and deliverables.
- validation of content enrichment rules with key stakeholders.
- contribution to the code review process.
Requirements
- A Bachelor's degree or diploma in a related field. An equivalent combination of education and experience will be considered.
- 5+ years in more complex client information settings applying formal data assessment methodologies to create and document assessment and action plans/rules development.
- Direct domain experience in Engineering Document Management or Engineering Information Systems for Owner / Operators or EPC's, including:
- engineering information standards (e.g., tag and document classification, tag and document metadata, tag and document states).
- engineering information management processes.
- understanding of the engineering information lifecycle and how this supports Engineering, Construction, C&SU, Operations, Maintenance & Reliability, etc.
- existing engineering information management system(s), databases and legacy data (e.g., based on background with such software as Hexagon, Bentley, Aveva, OpenText, McLaren, etc.).
- Strong experience in applying SQL to datasets upon which to parse and assess the information held on those datasets.
- Strong experience in sophisticated presentation of complex information in XL and/or Dashboard technology.
- Experience with engineering information migration.
- Excellent skills in transforming complex data-driven information into presentations and products that can be effectively understood by and used by stakeholders.
Experience with multiple project delivery methodologies including Waterfall and Agile.
We value diversity in our business and encourage responses from all qualified applicants. While we are appreciative of all applications we receive, we advise that only candidates under consideration will be contacted.
If you are not a Canadian citizen, you must have a valid open Canadian Work Visa or have Permanent Resident Status to be considered. USA candidates must provide proof of eligibility to work if you are not a US citizen or a Green Card holder.