Wood Mackenzie is hiring for a fresher entry level Associate Data Analyst role in India

Position:
Associate Data Analyst

Company:
Wood Mackenzie

Location:
Gurugram, India

Job Type:
Full-time

Job Mode:
Hybrid

Job Requisition ID:
JR2197

Years of Experience:
0–3 years

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Company Description

• Wood Mackenzie is a globally recognized organization providing data and analytics solutions for the renewables, energy, and natural resources sectors.

• Established over 50 years ago, the company has become a trusted source of actionable intelligence for industries that are shaping the transition toward sustainability.

• With a team of more than 2,400 professionals working across 30 international offices, Wood Mackenzie combines human expertise with advanced technology to deliver high-impact insights.

• The company enables businesses, governments, and organizations to make informed decisions through comprehensive data coverage, real-time analytics, consultancy, and research-driven insights.

• Their expertise spans the entire value chain of energy, from production to consumption, providing clients with an edge in identifying risks and opportunities in rapidly evolving markets.

• Wood Mackenzie prides itself on fostering a culture rooted in inclusivity, curiosity, trust, and customer commitment.

• Its core mission is to help clients navigate uncertainty and shape a sustainable future by turning data into intelligence and intelligence into action.

• Employees are encouraged to think creatively, collaborate across disciplines, and continuously grow within a supportive environment that values professional development and knowledge sharing.

• The company’s brand is associated with reliability, innovation, and sustainability, making it a leader in energy transition insights.

• At Wood Mackenzie, employees are driven by shared values and a passion for contributing to global change.

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Profile Overview

• The Associate Data Analyst position is tailored for individuals at the beginning of their data careers who wish to develop foundational analytical and technical skills.

• The role focuses on managing, validating, and interpreting data to support business decision-making and drive meaningful insights.

• Working under structured guidance, the associate will contribute to improving data workflows, supporting governance initiatives, and ensuring data quality across systems.

• The role emphasizes learning through experience, making it ideal for those looking to grow their proficiency in SQL, data visualization, and analytical thinking.

• The associate will be responsible for executing tactical data management tasks that contribute to larger analytical projects.

• Collaboration is central to the position, as the individual will work with teams from Research, Product, Data Engineering, and other core business functions.

• This opportunity provides a strong foundation in data handling, problem-solving, and collaboration across multi-disciplinary teams.

• The position also nurtures curiosity and innovation, encouraging associates to identify ways to enhance existing workflows and apply creative problem-solving techniques.

• The role provides exposure to global energy datasets and advanced analytics platforms, offering valuable experience in understanding large-scale, complex data systems.

• This position helps in developing an analytical mindset and an appreciation for how data influences strategic decisions in the renewable and natural resources industries.

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Responsibilities

Knowledge and Execution

• Perform structured data tasks under clear guidance to maintain accuracy and consistency.

• Understand project goals, outcomes, and hypotheses to ensure that all work aligns with broader objectives.

• Develop foundational knowledge in data visualization, exploratory analysis, and scripting techniques.

• Apply SQL for retrieving, cleaning, and manipulating data across various databases.

• Manage and process data following established workflows, ensuring completeness and reliability.

• Approach problems systematically, ask clarifying questions, and seek feedback from senior team members.

• Demonstrate a strong learning attitude and continuously enhance technical proficiency.

Impact and Performance

• Meet defined expectations regarding quality, delivery timelines, and collaboration standards.

• Develop and refine skills in analyzing data using SQL, Excel, or Python.

• Contribute to the team’s success by ensuring accuracy in data-driven deliverables.

• Take initiative to learn from mistakes and apply feedback constructively.

• Maintain accountability for assigned tasks while being open to learning from experienced mentors.

• Participate actively in development programs and take ownership of personal growth goals.

• Contribute to building a reliable and data-informed culture within the organization.

Collaboration and Teamwork

• Work closely with cross-functional teams to ensure the successful execution of data-related projects.

• Support data governance initiatives to maintain data integrity across platforms.

• Assist in data quality assurance by performing checks, validations, and corrections.

• Collaborate with stakeholders from Product, Research, and Data Engineering to align efforts.

• Communicate findings clearly and concisely with both technical and non-technical stakeholders.

• Build meaningful relationships within the team to foster mutual learning and collaboration.

• Promote inclusion and respect for diverse perspectives, strengthening team unity and productivity.

Innovation and Improvement

• Identify areas for process improvement and suggest ways to optimize workflows.

• Develop ideas for automating repetitive data tasks to improve efficiency.

• Stay curious about emerging data tools, methods, and industry practices.

• Experiment with new technologies to enhance the team’s capabilities.

• Participate in brainstorming sessions that encourage innovative thinking and solution-oriented discussions.

• Continuously seek to expand knowledge through online courses, workshops, and peer mentoring.

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Qualifications

Educational Background

• Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or a related field.

• Equivalent work experience in data or analytics functions will also be considered.

Technical Skills

• Basic proficiency in SQL for querying and manipulating data.

• Exposure to at least one scripting language such as Python for data analysis or automation.

• Familiarity with visualization tools or techniques for exploratory data analysis.

• Understanding of database systems and data storage principles.

• Awareness of data governance and quality assurance methodologies.

• Knowledge of Snowflake or similar cloud-based data platforms is advantageous.

• Interest in learning ETL (Extract, Transform, Load) processes and database management concepts.

Soft Skills

• Strong communication abilities for effective collaboration with cross-functional teams.

• Detail-oriented mindset with a commitment to producing accurate and reliable results.

• Eagerness to learn from feedback and contribute positively to team discussions.

• Self-motivated attitude with the ability to stay organized and manage multiple tasks.

• Adaptable and curious nature to work in a fast-evolving environment.

• Strong analytical thinking and problem-solving capabilities.

Behavioral Attributes

• Demonstrates accountability and ownership of assigned work.

• Embraces a growth mindset, showing enthusiasm for continuous learning.

• Maintains professional integrity and supports a positive team culture.

• Actively contributes to the company’s inclusive and diverse workplace values.

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Additional Info

• The role provides a unique opportunity to contribute to one of the leading analytics firms in the energy transition sector.

• It offers significant learning exposure for those interested in building a data analytics career focused on sustainability, renewables, and global resource management.

• Employees benefit from working with international experts who mentor and guide them in developing technical depth and analytical accuracy.

• Wood Mackenzie values employee well-being and encourages a balanced, flexible hybrid work environment.

• The organization supports employees with learning programs, career development opportunities, and access to a global knowledge network.

• Equal opportunity and inclusivity form the foundation of their workplace policies. The company ensures fair recruitment and growth practices for all employees.

• Candidates with disabilities or specific needs are provided with assistance throughout the application and hiring process.

• The company culture emphasizes curiosity, trust, customer-centric thinking, and future-focused innovation.

• Working at Wood Mackenzie allows individuals to be part of a purpose-driven mission—empowering global change through data intelligence.

• The organization recognizes and rewards hard work, integrity, and collaboration, ensuring employees thrive both professionally and personally.

Please click here to apply.