Data Analyst - Data Governance and Stewardship
IN-Gurugram-Office, India
Wood Mackenzie
Empower strategic decision-making in global natural resources with quality data, analysis and advice. Discover the latest insights and reports online.Wood Mackenzie is the global data and analytics business for the renewables, energy, and natural resources industries. Enhanced by technology. Enriched by human intelligence. In an ever-changing world, companies and governments need reliable and actionable insight to lead the transition to a sustainable future. That’s why we cover the entire supply chain with unparalleled breadth and depth, backed by over 50 years’ experience. Our team of over 2,400 experts, operating across 30 global locations, are enabling customers’ decisions through real-time analytics, consultancy, events and thought leadership. Together, we deliver the insight they need to separate risk from opportunity and make confident decisions when it matters most.
Wood Mackenzie Values
- 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:
This role will form part of the Data Governance and Stewardship team, working on data governance programmes, including the Enterprise Master Data Management initiative. This individual will work closely with our Research, Data and Product functions. The successful candidate will help solve challenges around data management, pipelines, analysis and data quality.
The success of this role will require attention to detail, collaboration and problem solving. The core objective is to deliver consistent data to our clients and enable efficient data product workflows. Ensuring we have a supportive and inclusive culture within our team is essential.
Key responsibilities:
Take ownership for delivering Enterprise Datasets that best enable our product priorities
Together with Data, Product, Engineering and architecture agree the best approach to deliver our master datasets utilizing the optimal technical solution aligned with Platform
Drive alignment, adoption, consistency and Governance of our Enterprise data models to deliver industry leading Analytics and Insight aligned to commercial dependencies
Automate priority workflows, ETL and deliver efficiencies through connected datasets and integrated pipelines that provide business efficiencies or values
Working in a cross-functional team, foster an agile, high-performance, and collaborative culture with a focus on pragmatic delivery
Create documentation to provide clear understanding of processes in collaboration with the Data Stewardship team
Identify and collaborate with critical business stakeholders
Mentor Data Associates working with master datasets
Knowledge and experience:
Strong problem solving and data investigation skills
Strong technical foundation with proven experience in delivering data transformation projects
MDM expertise preferred but not essential
Some experience with coaching and mentoring individuals through change
Experience in data quality management and related business processes
Hands on expertise with agile methodologies, product delivery and data analysis
Understanding of how Python and SQL can be utilized for Data delivery
Good stakeholder engagement and communication skills
Solid understanding of data modelling techniques and exploitation and BI tools
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Equal Opportunities
We are an equal opportunities employer. This means we are committed to recruiting the best people regardless of their race, colour, religion, age, sex, national origin, disability or protected veteran status. You can find out more about your rights under the law at www.eeoc.gov
If you are applying for a role and have a physical or mental disability, we will support you with your application or through the hiring process.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Data analysis Data governance Data management Data quality Engineering ETL Pipelines Python Research SQL
Perks/benefits: Team events
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