Data Analyst role at Wood Mackenzie supporting lower 48 oil and gas research and analytics team. Requires strong PySpark, Python skills and cloud technologies knowledge.
About the role
- Business and Data Analyst supporting clients in understanding and improving their data landscape. Collaborating with key stakeholders to deliver data strategies and governance frameworks.
Responsibilities
- Facilitate workshops and stakeholder discussions to gather information on business processes, data usage, pain points, reporting needs and improvement priorities
- Support the delivery of domain assessments, including the documentation of business context, data flows, systems, ownership, risks, issues and opportunities
- Support the development of data strategies by gathering relevant business context, identifying themes, summarising findings and helping shape strategic recommendations
- Contribute to data maturity assessments by collecting evidence, documenting current capabilities and helping assess strengths, gaps and priority improvement areas
- Support the definition and documentation of data governance structures, including roles, responsibilities, decision points, controls and supporting processes
- Assist with the development of data-related policies, standards and supporting documentation, ensuring outputs are clear, practical and aligned with client needs
- Capture, document and structure business use cases, requirements and expected outcomes to support prioritisation and solution design
- Analyse and document current-state and future-state business processes, identifying inefficiencies, control gaps, data issues and opportunities for improvement
- Work with technical colleagues to translate business needs into well-defined requirements that support architecture, engineering and reporting delivery
- Help develop high-quality client deliverables including assessment reports, requirement documents, process maps, governance artefacts, policy drafts and presentation materials
- Support the identification and documentation of data quality challenges, ownership gaps, reporting risks and other issues affecting the effective use of data
- Contribute to the ongoing improvement of internal methods, templates and approaches used across Seriös Group delivery
- Build strong working relationships with clients by demonstrating value creation, professionalism, curiosity, responsiveness and attention to detail
- Support pre-sales and early discovery activities where required by helping gather requirements, understand client needs and contribute to solution shaping
Requirements
- Strong analytical thinking, with experience interpreting business challenges, data issues and process inefficiencies in a structured way
- Skilled in gathering, organising and documenting requirements, findings and recommendations clearly and accurately
- Excellent communication skills, with confidence engaging both technical and non-technical stakeholders
- Strong facilitation and stakeholder engagement skills, including running workshops, asking effective questions and drawing out meaningful insight
- Self-motivated, proactive and comfortable working independently as well as collaboratively within multi-disciplinary teams
- Highly developed interpersonal skills, with the credibility to build trusted client relationships and work effectively across different levels of an organisation
- Commercial awareness and a clear understanding of how data, governance and process improvement support wider business objectives
- Strong written communication skills, with experience producing clear, well-structured and professional client-facing deliverables
- Organised and adaptable, with the confidence to manage competing priorities and respond to changing client and business needs
- Strong attention to detail, with a focus on consistency, quality and producing practical outputs that can be acted upon
- Curious and improvement-focused, with an interest in data strategy, governance, business analysis and modern data practices
- Comfortable working alongside architects, engineers and analysts to translate business needs into well-defined outputs and requirements
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