Data Analyst (Chemical Manufacturing)

Wood PLC; Washington (WV); Sur place; USD 70 000 - 95 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Flexible benefits package

Professional development

Résumé du poste

Wood PLC is seeking a Data Analyst for our US Onshore Operations Americas business to transform plant data into actionable insights. This on-site role in Washington, WV supports production, maintenance, reliability and site leadership with data-driven decision making.

The role collaborates with operations, engineers, and digital stakeholders to develop data models, dashboards, and applications that improve plant visibility and performance. Relocation and sponsorship are not provided.

Qualifications

• Bachelor's degree in data analytics, information systems, computer science, engineering, business analytics, or a related discipline; equivalent industry experience may be considered.
• Experience developing reports and dashboards using Power BI, including data modeling, Power Query, and DAX.
• Familiarity with Cognite Data Fusion or similar industrial data platforms.
• Basic experience developing or supporting Power Apps solutions.

Responsabilités

• Data Management & Cognite: access, structure, manage, and maintain industrial datasets using Cognite Data Fusion.
• Power BI Development & Reporting: design, develop, and maintain dashboards and reports with KPIs for production, maintenance, reliability, safety, and performance.
• Power Platform Support: assist in development and maintenance of Power Apps, integrate with SharePoint and Power BI.
• Collaboration & Continuous Improvement: work with Operations, Maintenance, Reliability, Engineering, IT, and Digital teams to improve data visibility and standardize metrics.

Connaissances

Power BI

Cognite Data Fusion

Power Apps

SQL

Data modeling

Formation

Bachelor's degree in data analytics, information systems, computer science, engineering, or related field

Description du poste

JOB DESCRIPTION Wood is recruiting for a Data Analyst to join its US Onshore Operations Americas business. This position is on site in Washington, WV, United States. #LI-Onsite

The Role

Wood is recruiting for a Data Analyst to join our US Onshore Operations Americas business supporting a chemical manufacturing facility in Washington, West Virginia. This position plays a key role in transforming operational and plant data into actionable insights that support production, maintenance, reliability, and site leadership teams. The successful candidate will work closely with operations personnel, engineers, maintenance teams, and digital stakeholders to develop and maintain data models, dashboards, and applications that improve visibility into plant performance and support data-driven decision making. This role is ideally suited for candidates who have experience working in a chemical manufacturing, petrochemical, refinery, specialty chemicals, or other industrial processing environment and understand how plant systems, production processes, maintenance activities, and operational data interact to drive business performance. This is a full-time, on-site position located at a chemical manufacturing facility in Washington, WV. Preference will be given to candidates residing in the local area. Relocation assistance and per diem are not available for this position. Applicants must be legally authorized to work in the United States without current or future visa sponsorship.

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

RESPONSIBILITIES

• Data Management & Cognite
  • Utilize Cognite Data Fusion (CDF) to access, structure, manage, and maintain industrial and operational datasets.
  • Perform data transformation, cleansing, and validation activities to ensure data quality and usability.
  • Troubleshoot discrepancies between source systems, operational data, and reporting outputs.
  • Collaborate with plant operations, maintenance, engineering, reliability, and business stakeholders to gather and define data requirements.
  • Develop and maintain documentation for data models, table structures, integrations, and data flows.
  • Support the integration of manufacturing and operational data from various plant systems and enterprise applications.
• Power BI Development & Reporting
  • Design, develop, and maintain Power BI dashboards and reports that provide actionable insights to plant leadership and operational teams.
  • Create and maintain data models, relationships, calculations, and DAX measures.
  • Develop KPIs and visualizations focused on production, maintenance, reliability, safety, and operational performance.
  • Optimize reports for usability, performance, scalability, and end-user adoption.
  • Support ongoing enhancements and troubleshooting of existing reporting solutions.
  • Ensure reporting outputs accurately reflect current business processes, operational metrics, and plant performance indicators.
• Power Platform Support
  • Assist in the development and maintenance of Power Apps used to capture, manage, and interact with operational and maintenance data.
  • Support integrations between Power Apps, SharePoint, Power BI, and other business systems.
  • Collaborate with users to improve application functionality, usability, and reporting effectiveness.
  • Support Power Platform governance standards and best practices.
• Collaboration & Continuous Improvement
  • Partner with Operations, Maintenance, Reliability, Engineering, IT, and Digital teams to improve data accessibility and visibility across the site.
  • Assist in the development and standardization of plant performance metrics and KPIs.
  • Identify opportunities to automate reporting processes and eliminate manual data collection efforts.
  • Support continuous improvement initiatives by providing meaningful analysis and visualization of operational data.
  • Document processes, solutions, and best practices while promoting knowledge sharing across teams.

QUALIFICATIONS

What makes you remarkable? At Wood, we are committed to equal opportunities and welcome all talented individuals to consider joining our team. So even if you don't match every statement below but feel you have some of the experience, knowledge or skills needed for this role,

Expected:

• Bachelor's degree in Data Analytics, Information Systems, Computer Science, Engineering, Business Analytics, or a related discipline; equivalent industry experience may be considered.
• Experience working within a manufacturing, chemical processing, industrial, energy, refinery, or other operational environment.
• Experience developing reports and dashboards using Power BI, including data modeling, Power Query, and DAX.
• Familiarity with Cognite Data Fusion or similar industrial data platforms.
• Basic experience developing or supporting Power Apps solutions.
• Understanding of relational databases, data structures, and data integration concepts.
• Ability to translate operational and business requirements into scalable technical solutions.
• Strong analytical, problem-solving, and troubleshooting skills.
• Excellent attention to detail and commitment to data accuracy.
• Strong communication and collaboration skills with both technical and non-technical stakeholders.

Desirable:

• Familiarity with plant operational data, maintenance data, production metrics, and reliability reporting.
• Experience working with industrial systems such as SAP, process historians, MES, CMMS, engineering systems, or operational technology (OT) platforms.
• Experience integrating Power Platform tools including Power Automate and SharePoint.
• Understanding of industrial data governance and data management best practices.
• Experience supporting multiple facilities or enterprise-wide reporting initiatives.
• Knowledge of manufacturing KPIs, asset performance metrics, maintenance workflows, and production reporting.

Additional Information

This position is located on-site at a chemical manufacturing facility in Washington, WV.Candidates who live within commuting distance of the facility are strongly preferred.No relocation assistance or per diem is available.Applicants must be authorized to work in the United States on a permanent basis without sponsorship.

About Us

Wood is a global leader in consulting, engineering and operations for the energy and materials sectors. With 33,000 people in around 50 countries, Wood supports clients across the full asset lifecycle, delivering safe, predictable outcomes while enabling resilient operations and a lower carbon future. Wood forms the Energy & Materials pillar of Sidara - a global partnership uniting leading multidisciplinary engineering, design, and project management companies. www.woodgroup.com

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.