Job Type:
Full Time
Education: B.Sc./ M.Sc./ M.Pharm/ B.Pharm/ Life Sciences
Skills:
Python, .net, React Native, Django, Javascript, HTML, CSS, Typescript, Communication Skills, Power Bi, Numpy Pandas, Sql, machine learning, Data Analysis, Coimbatore, Data Science, Java, Adobe XD, Figma, php, wordpress, Artificial Intelligence, Excel
Data Analyst – Asset Revenue Forecasting, Power Dispatch Modelling, and Power Markets at Wood Mackenzie
Location: Global
Company: Wood Mackenzie
Role Purpose
The Data Analyst will play a key role in advancing forecasting and modelling efforts by managing, analysing, and optimising large datasets across renewable, conventional, and storage assets globally. The analyst will focus on asset revenue forecasting, power dispatch modelling, or power markets data, working to automate workflows, ensure data quality, and deliver actionable insights. This role collaborates closely with research, engineering, and product teams to enhance forecasting accuracy and improve the company's global asset performance and revenue strategies.
Responsibilities
Knowledge
- Structures complex problems, gathers feedback, and solves them effectively
- Defines hypotheses and analysis approaches
- Ensures statistical validity of results and applies deep technical expertise in forecasting or dispatch modelling
- Develops technical and domain knowledge in forecasting, power dispatch, and markets
- Manages data analysis, visualisation, and data management tasks within the energy domain
Impact
- Carries out independent analyses on forecasting and modelling projects
- Delivers high-quality outputs recognized for accuracy and reliability
- Demonstrates strong proficiency in SQL or Python for data handling
Collaboration
- Supports data governance and quality assurance activities
- Engages with stakeholders to build confidence in data-driven outcomes
- Works closely with peers in Research, Product, Data, and Engineering
Innovation
- Identifies opportunities for efficiency, optimisation, or new data creation
- Uses domain knowledge to create new value and insights
General
- Owns and manages data within the team focus
- Leverages tools and domain expertise for data analysis
Data Modelling
- Applies best practices in data modelling
- Translates data requirements into effective structures
- Collaborates with engineers to enhance data modelling capabilities
Experience & Qualifications
- Bachelor’s degree in Data Science, Computer Science, Mathematics, or related field
- 2–4 years of experience in data analysis
- Advanced SQL skills for querying and managing relational databases
- Familiarity with data visualisation tools (e.g., Sisense, Power BI, Streamlit)
Technical Skills
- Experience with ETL processes and APIs for data integration
- Knowledge of statistical methods and data modelling techniques
- Familiarity with cloud platforms like Snowflake is advantageous
Soft Skills
- Exceptional attention to detail and problem-solving capabilities
- Strong communication skills, able to explain complex insights to non-technical stakeholders
- Collaborative mindset with continuous learning commitment
Equal Opportunities
Wood Mackenzie is an equal opportunity employer. We are committed to recruiting the best talent, regardless of race, color, religion, sex, age, national origin, disability, or veteran status. We support applicants with disabilities throughout the hiring process.
