At a Glance
- Tasks: Lead data strategy and enhance analytics for trading teams.
- Company: Join Chevron, a leader in energy with a culture of integrity and collaboration.
- Benefits: Competitive salary, inclusive culture, and opportunities for personal and professional growth.
- Other info: Fast-paced environment with a focus on innovation and teamwork.
- Why this job: Make a real impact by shaping data strategies in a dynamic trading environment.
- Qualifications: Bachelor's degree and 3 years in data strategy or analytics required.
The predicted salary is between 60000 - 80000 € per year.
Chevron seeks a highly collaborative, technically strong, and commercially minded Data Strategist to support our Trading organization. This role serves as a critical bridge between IT, Digital, and Commercial stakeholders, ensuring that the data, tools, and analytics foundations required for decision-making are reliable, well-structured, and strategically aligned.
The successful candidate will define and advance our data strategy, enhance data quality and accessibility, and enable analysts and traders to generate deeper insights through scalable, trusted analytics solutions.
Key Responsibilities- Lead the development and execution of the data strategy for trading and commercial teams—ensuring critical datasets are governed, structured, and consistently understood across the value chain.
- Act as the primary interface between Business and IT, translating commercial needs into clear technical requirements, and ensuring technology solutions meet the pace and precision of the trading environment.
- Partner with Digital, IT, and Data Engineering teams to shape data architecture, ingestion patterns, and data governance frameworks, ensuring alignment with enterprise standards.
- Own and maintain core analytical assets (curated datasets, definitions, reusable code libraries, and foundational dashboards) while improving data quality, lineage and controls to build trust and reproducibility.
- Enable the adoption of AI and advanced analytics tools, guide best practices for data access and analytics workflows, and champion process improvements that reduce manual effort, eliminate data pain points and accelerate insight delivery.
- Contribute to a culture of data-driven decision-making by providing clear communication, structured thinking, and strong partnership behaviours across trading, operations, and IT.
- Bachelor’s degree in Engineering, Computer Science, Mathematics, Business, Economics, or related field.
- Minimum of 3 years of experience in data strategy, analytics, data engineering, or commercial analytics roles—preferably in energy, trading, or asset-intensive industries.
- Strong proficiency in data analysis and transformation tools, such as SQL, Python, Databricks, Power BI, or similar.
- Experience working with data pipelines and platforms, data modelling concepts, and modern analytics environments.
- Demonstrated ability to translate commercial needs into data and technical requirements, and to communicate effectively with both technical and non-technical audiences.
- Strong problem-solving skills with the ability to drive structure in ambiguous situations and influence stakeholders across functions.
- Proven ability to build trust, collaborate in fast-paced environments, and manage multiple priorities.
- Digital-first mindset with interest in automation, data governance, and emerging AI capabilities.
- Experience supporting trading, commercial, or supply & value chain organizations.
- Familiarity with cloud-based data platforms (Azure, AWS, or GCP).
- Exposure to enterprise data governance or data product management concepts.
- Understanding of data quality frameworks, lineage, metadata, and reproducibility standards.
Relocation is not offered for this role. Expatriate assignments will not be considered. Chevron regrets that it is unable to sponsor employment visas or consider individuals on time-limited visa status for this position.
Company CultureAt Chevron, we believe our people are our greatest asset. We foster a culture built on integrity, inclusion, and high performance. Our teams operate with trust, empowerment, and a shared commitment to delivering exceptional results. We encourage our employees to think boldly, collaborate across boundaries, and continuously develop—professionally and personally.
Certain locations may participate in E-Verify as required by law.
Data Strategist in London employer: Chevron Corporation
Chevron is an exceptional employer that prioritises integrity, inclusion, and high performance, making it a fantastic place for a Data Strategist to thrive. With a strong emphasis on collaboration and professional development, employees are empowered to think boldly and contribute to a culture of data-driven decision-making. Located in London, this role offers the unique advantage of working at the forefront of the energy sector, where innovative data strategies directly impact trading operations and commercial success.
StudySmarter Expert Advice🤫
We think this is how you could land Data Strategist in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to data strategy. We recommend doing mock interviews with friends or using online platforms to get comfortable with articulating your thoughts.
✨Tip Number 3
Showcase your skills! Create a portfolio of projects that highlight your data analysis and strategy capabilities. This could be anything from personal projects to contributions to open-source initiatives—just make sure it’s relevant!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Strategist in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Data Strategist role. Highlight your experience in data strategy and analytics, especially in trading or commercial environments. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can contribute to our team. Be sure to mention any relevant projects or experiences that showcase your problem-solving skills.
Showcase Your Technical Skills:Don’t forget to highlight your proficiency in tools like SQL, Python, and Power BI. We’re keen on seeing how you’ve used these tools in past roles to drive insights and improve data quality. Make it clear how you can bring this expertise to us!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our team at Chevron!
How to prepare for a job interview at Chevron Corporation
✨Know Your Data Inside Out
As a Data Strategist, you’ll need to demonstrate your understanding of data analysis and transformation tools. Brush up on SQL, Python, and any relevant platforms like Power BI. Be ready to discuss how you've used these tools in past roles to drive insights and improve data quality.
✨Bridge the Gap
This role requires you to act as a liaison between technical and non-technical teams. Prepare examples of how you've successfully translated commercial needs into technical requirements. Show that you can communicate effectively with both sides, ensuring everyone is on the same page.
✨Showcase Your Problem-Solving Skills
Expect questions that assess your ability to handle ambiguity and solve complex problems. Think of specific instances where you’ve structured a solution in a challenging situation. Highlight your approach to building trust and collaborating with stakeholders to achieve results.
✨Embrace a Digital-First Mindset
Chevron values innovation and a digital-first approach. Be prepared to discuss your experience with automation, data governance, and emerging AI capabilities. Share your thoughts on how these elements can enhance data strategy and decision-making in a trading environment.
