Data Analyst

Wood Mackenzie; Madrid; Presencial; EUR 40.000 - 80.000; Jornada completa

Descripción de la vacante

An innovative company in the renewable energy sector is seeking a Data Analyst to enhance forecasting and modeling efforts. In this role, you will manage and analyze large datasets, automate workflows, and collaborate with cross-functional teams to deliver actionable insights. You will leverage your expertise in SQL and data visualization tools to improve forecasting accuracy and asset performance. This position offers an exciting opportunity to contribute to a sustainable future while working alongside a diverse team of experts dedicated to making informed decisions through data-driven strategies.

Formación

• 2-4 years of experience in data analysis with large datasets.
• Advanced SQL skills and experience with data visualization tools.

Responsabilidades

• Manage and analyze large datasets related to renewable and conventional assets.
• Deliver actionable insights through collaboration with teams.

Conocimientos

Data Analytics

SQL

Data Visualization

Data Management

Problem-Solving

Communication Skills

Educación

Bachelor's degree in Data Science

Bachelor's degree in Computer Science

Bachelor's degree in Mathematics

Herramientas

Power BI

Sisense

Streamlit

SAS

R

Tableau

Microsoft Access

Snowflake

Descripción del empleo

Wood Mackenzie is a global data and analytics company serving the renewables energy and natural resources sectors. Leveraging technology and human expertise, we provide reliable insights to support the transition to a sustainable future. With over 50 years of experience, our team of more than 2,400 experts across 30 locations enables customers to make informed decisions through real-time analytics, consultancy, events, and thought leadership.

Our core values include:

• Inclusive: We succeed together
• Trusting: We choose to trust each other
• Customer committed: We put customers at the heart of our decisions
• Future Focused: We accelerate change
• Curious: We turn knowledge into action

Role Purpose

The Data Analyst will play a key role in advancing forecasting and modelling efforts by managing, analysing, and optimising large datasets related to renewable, conventional, and storage assets globally. The role involves automating workflows, ensuring data quality, and delivering actionable insights through collaboration with research, engineering, and product teams. The goal is to improve forecasting accuracy and enhance asset performance and revenue strategies.

Responsibilities

Knowledge

• Define and solve poorly structured problems effectively.
• Develop hypotheses and select appropriate analysis approaches.
• Ensure statistical validity of results, avoiding common pitfalls.
• Build technical expertise in forecasting or dispatch modelling.
• Provide skills in data analysis, visualization, and management.
• Understand the technical data landscape within the energy domain.
• Maintain a growth mindset to continually evolve skills.

Impact

• Perform defined and repeatable tasks with limited guidance.
• Formulate new analyses and project components independently.
• Conduct independent analysis on forecasting or modelling projects.
• Deliver high-quality, accurate, and reliable outputs on time.
• Demonstrate proficiency in SQL or Python for data handling.
• Support data governance and quality assurance activities.
• Engage with stakeholders to build confidence in data-driven outcomes.
• Collaborate with research, product, data, and engineering teams.
• Identify opportunities for efficiency and new data creation.
• Create value and insights using technical and domain knowledge.

Specialisms

General

• Manage data within their role or team focus.
• Leverage tools and domain expertise for analysis and decision-making.
• Apply best practices in data modelling.
• Collaborate with engineers to enhance data modelling capabilities.

Experience & Qualifications

• Bachelor's degree in Data Science, Computer Science, Mathematics, or related fields.
• 2-4 years of experience in data analysis with large datasets.
• Advanced SQL skills.
• Experience with data visualization tools (e.g., Power BI, Sisense, Streamlit).

Technical Skills

• Experience with ETL, APIs, and cloud platforms like Snowflake.
• Knowledge of statistical methods and data modelling.
• Understanding of data governance and security protocols.

Soft Skills

• Attention to detail and problem-solving skills.
• Strong communication skills for translating insights.
• Collaborative mindset and continuous learning attitude.

We are an equal opportunity employer committed to diversity and inclusion. For more information on your rights, visit www.eeoc.gov. We support applicants with disabilities throughout the hiring process.

Required Experience and Key Skills: Data Analytics, SQL, Power BI, Data Visualization, Data Management, Data Mining, SAS, R, Tableau, Data Analysis Skills, Analytics, Microsoft Access.