Data Associate

**Company Description**
Wood Mackenzie are the global research, analytics, and consultancy business powering the natural resources industry. For 50 years, we have been providing the quality data, analytics, and insights our customers rely on to inspire their decision making.

Our dedicated oil, gas & LNG, power & renewables, chemicals, metals & mining sector teams are located around the world and deliver a variety of projects based on our assessment and valuation of thousands of individual assets, companies, and economic indicators such as market supply, demand, and price trends.

We have over 2000 employees in 30 locations, serving customers in nearly 80 countries. Together, we inspire and innovate the markets we serve - providing invaluable intelligence to help our customers overcome the toughest challenges, and make strategic decisions that will, ultimately, accelerate the world’s transition to a more sustainable future.

**Wood Mackenzie brand video**

Do you have a passion for Data? Are you a Problem-Solver with an ability to quickly understand complex processes? Then this role could be for you. We are looking for a Data Owner to join our Metals & Mining Data team.

This opportunity will help shape our Roadmap, work with our expert Data, Engineering and Research talent to deliver new Insight and Analytics.

We are looking for someone with a Product focus and experience of developing talent, this exciting role will drive transformation within our business.

**Key Responsibilities**:
**Application Maintenance**:
**Operationalization**:
Work closely with cross-functional teams to operationalize systems, ensuring seamless integration into the production environment.

Develop and implement procedures for efficient system operation and maintenance.

**Daily Jobs Monitoring**:
Monitor and manage daily batch jobs, promptly addressing issues related to job failures, delays, or deviations from expected outcomes.

Implement proactive measures to anticipate and prevent potential operational challenges.

**User Support - Data Extracts and Analysis**:
Assist users in extracting bespoke data sets, providing guidance on data formats, and ensuring data integrity.

Collaborate with users to understand their analysis requirements and provide support in utilizing tools for effective data analysis.

**Incident Response**:
Diagnose and troubleshoot technical issues related to data extraction and analysis, collaborating with teams to implement corrective actions.

**Documentation**:
Maintain accurate and up-to-date documentation for operational procedures, configurations, and user support processes.

Contribute to the development and enhancement of a comprehensive knowledge base.

**Automation**:
Identify opportunities for automation to streamline operational tasks, data extraction processes, and improve efficiency.

Implement automation scripts or tools to simplify routine maintenance and monitoring activities.

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**Qualifications** Qualifications**:

- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Strong understanding of system architecture, configuration, and integration.
- Expert level knowledge in Python, SQL and strong understanding of AWS
- Familiarity with data architecture, design patterns and stream processing technologies
- Experience with monitoring tools, incident management systems, and data analysis tools.
- Excellent problem-solving skills, attention to detail, proactive in identifying issues and proposing solutions, multitasker, proactive status reporting and strong communication skills.

**Expectations**
- The nature of this role precludes it from consideration for part-time or flexible working arrangements
- Due to the global nature of the team, a degree of flexible working will be required to accommodate different time zones.

**Additional Information** Wood Mackenzie Values**
- Inclusive - we succeed together
- Trusting - we choose to trust each other
- Customer committee - we put customers at the heart of our decisions
- Future Focused - we accelerate change
- Curious - we turn knowledge into action