Data Analyst I
Indexed description
The ideal candidate understands how industrial data flows from source systems into reporting tools and can translate business needs into scalable, reliable data models and applications.
This role will play a key part in enabling data-driven decision making across operations, maintenance, and site leadership.
Our Clients and Projects
Designing the future. Transforming the world.
Wood’s Operations business delivers solutions to an ever-broadening range of clients across the energy and materials industries globally. We deliver operations, maintenance, modifications, brownfield engineering, asset optimization and management, supporting our clients through the asset lifecycle. We are focused on developing strategic relationships with our clients, providing solutions that deliver efficiency, integrity and reliability.
What We Can Offer
- Meaningful and interesting projects delivered to leaders of industry across Oil & Gas energy sectors
- Flexible working arrangements that balance client, team and individual needs.
- Commitment to Diversity and Inclusion across our business with employee networks committed to giving all employees a voice
- Competitive salary with regular salary reviews to ensure we are rewarding at the right level in line with the market.
- Flexible benefits package that can be adapted to suit your lifestyle
- Commitment to continued professional development through development plans tailored to individual needs and interests
- Global connections with leading industry experts around the world who are shaping the standards of our profession
- Authorization to work lawfully in the US without sponsorship from Wood is required
- Work with Cognite Data Fusion to access, structure, and maintain industrial data tables
- Perform data transformations and manipulations to ensure accurate and usable datasets
- Validate data integrity and troubleshoot inconsistencies between source systems and reporting outputs
- Collaborate with engineers, digital teams, and business stakeholders to define data requirements
- Maintain documentation of data models, table structures, and data flows
- Build and maintain Power BI dashboards that provide actionable insights for operational and leadership teams
- Develop data models, relationships, and calculations (DAX measures)
- Optimize reports for performance, usability, and clarity
- Ensure dashboards reflect current business logic and data definitions
- Support troubleshooting and enhancements for existing reports
- Assist with development and maintenance of Power Apps used to capture or interact with operational data
- Ensure data integration between Power Apps, SharePoint, and Power BI
- Help improve user experience and ensure apps support reporting needs
- Support governance and best practices for Power Platform solutions
- Work with Digital, Operations, and IT teams to identify opportunities to improve data visibility
- Support development of standardized metrics and KPIs
- Assist in building scalable solutions that reduce manual reporting
- Document processes and provide knowledge sharing across teams
Expected
- Experience working with industrial or operational data environments
- Familiarity with Cognite Data Fusion or similar data platforms
- Experience building reports in Power BI (data modeling, DAX, Power Query)
- Basic experience with Power Apps
- Understanding of relational data concepts
- Ability to translate business needs into technical solutions
- Strong attention to detail and data accuracy
- Experience in manufacturing, chemical, energy, or industrial environments
- Familiarity with data from systems such as SAP, historians, or engineering systems
- Experience integrating Power Platform tools (Power Automate, SharePoint)
- Knowledge of data governance best practices
- Experience working with global or multi-site data environments
Diversity Statement
We are an equal opportunity employer that recognises the value of a diverse workforce. All suitably qualified applicants will receive consideration for employment on the basis of objective criteria and without regard to the following (which is a non-exhaustive list): race, colour, age, religion, gender, national origin, disability, sexual orientation, gender identity, protected veteran status, or other characteristics in accordance with the relevant governing laws.
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