Lead Prices Data Analyst

Salary: £43,000 - 83,000 per year

Requirements:

• 3+ years of experience in data-related roles.
• Bachelors or Masters degree in Computer Science, Mathematics, Business, Engineering or a related field.
• Excellent communication, stakeholder management and leadership skills.
• Ability to manage competing priorities, balance operational demands and deliver results in a fast-paced environment.
• Strong proficiency in Microsoft Excel, including advanced formulas and reporting.
• Experience with Power Query for data extraction, transformation, cleansing and automation of data processes.
• Experience working with Power BI for reporting, dashboards and data visualisation.
• Demonstrable experience in SQL for querying relational databases, preferably Oracle.
• Strong knowledge of data workflows, metadata management and database architectures.
• Experience using Microsoft Copilot, Copilot Studio and Power Automate to drive efficiency and process automation.
• Experience designing, building and maintaining AI agents, copilots and automated workflows.
• Proven ability to identify and implement process improvements through automation, AI and digital transformation initiatives.
• Experience integrating Microsoft 365, SharePoint, Excel, databases and enterprise systems into automated workflows and solutions.
• Understanding of prompt engineering, AI-assisted analysis and the practical application of generative AI in a business environment.
• Strong analytical mindset, attention to detail and problem-solving skills.
• Understanding of project management principles, including planning, prioritisation, risk management and delivery within structured timelines.
• Experience working with cross-functional stakeholders and influencing decisions across business, operational and technical teams.

Responsibilities:

• Lead our London-based Price Data Operations team and support global price data operations.
• Set up and manage metadata and data pipelines to ensure accuracy and compliance.
• Support clients with queries relating to integrating our data and metadata into their systems, data validation and data provision.
• Execute queries to retrieve and manipulate structured datasets for analysis and efficient data workflows.
• Collaborate with cross-functional teams to gather requirements and deliver data solutions aligned with business priorities.
• Communicate technical concepts and data requirements to technical and non-technical stakeholders.
• Build relationships with internal and external stakeholders, understand business needs, manage expectations and drive successful outcomes.
• Prioritise team workload, competing business requests and operational activities to deliver key objectives on time.
• Identify opportunities to improve operational efficiency through automation, AI and digital solutions.
• Contribute to the design, development and continuous improvement of AI agents, Copilot solutions and automated workflows.
• Support process automation initiatives using Microsoft Copilot Studio, Power Automate, Power Query and other Microsoft technologies.
• Work with business stakeholders to translate manual processes into scalable, automated and AI-driven solutions.
• Foster an inspiring team environment and open communication culture.
• Oversee day-to-day team operations and delivery against agreed service levels and objectives.
• Monitor team performance, report on key metrics, identify training and development needs, and resolve team issues or conflicts.
• Coach and develop team members, promoting knowledge sharing, continuous improvement and best practices.
• Participate in a shift-based support rota, with later shifts typically running from 10:00 a.m. to 7:00 p.m. and each team member covering the later shift 2–3 times per week.

Technologies:

• AI
• AI Agents
• Copilot
• Excel
• Support
• Microsoft 365
• Oracle
• Power BI
• Power Query
• SQL
• SharePoint
• Office 365

More:

We are Argus, a rapidly growing, award-winning business providing critical market intelligence to global energy and commodity markets. Our Price Data Operations team supports key business processes and provides global data operations coverage, working closely with Editorial, Product and Technology teams. We offer a dynamic environment where entrepreneurial professionals can achieve results and grow their careers. We recognize and reward performance and, as an Investor in People, promote professional development and a high-performing team. Our benefits include a competitive salary and company bonus scheme, group pension, healthcare and life assurance, hybrid working (currently three days in the office), 25 days of annual holiday with an incremental increase up to 30 days, subsidised gym membership, a season ticket travel loan, a cycle-to-work scheme, a flexible benefits platform and extensive internal and external training.

last updated 40 week of 2026