Job Description
Remarkable people, trusted by clients to design and advance the world
Collect, clean, and organize data from various internal and external sources
- Perform exploratory data analysis to identify trends, patterns, and anomalies
- Create dashboards and reports to communicate insights clearly to stakeholders
- Support senior analysts and business units with ad-hoc data requests
- Maintain data accuracy and integrity across different systems
- Assist in optimizing data workflows and reporting processes
- Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions
Responsibilities
- Bachelor’s degree in Data Science, Statistics, Economics, Mathematics, Computer Science, or a related field
- 0–5 years of experience in data analysis or a similar role
- Experience with data visualization tools (Power BI, Tableau, or similar)
- Understanding of Excel/Google Sheets (formulas, pivot tables, etc.)
- Basic knowledge of SQL
- Strong analytical and problem-solving skills
- Good communication skills in English
- Detail-oriented, eager to learn, and able to work both independently and as part of a team
Qualifications
- This role is suited for candidates early in their career (0–5 years of experience) who are passionate about turning data into insights that support business decisions.
- Experience with Python or R
- Familiarity with relational databases
- Understanding of ETL processes
- Experience working with large datasets
- Basic knowledge of statistical methods
About Us
Wood is a global leader in consulting and engineering, helping to unlock solutions to critical challenges in energy and materials markets. We provide consulting, projects and operations solutions in 60 countries, employing around 35,000 people. www.woodplc.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.
