About the role

Senior Data Analyst delivering data analysis and managing a team of Data Analysts at Transform, a consulting partner solving client challenges.

Responsibilities

Lead and deliver ad-hoc and planned data analysis to answer complex client and internal briefs
Use SQL & Python for data analysis, transformation and automation where appropriate
Support BI and reporting deliverables as required, ensuring outputs are accurate, scalable and clearly aligned to business needs
Act as line manager for 3-4 Data Analysts, providing day-to-day support, coaching and performance management
Support the development of technical capability within the team, including SQL, analytical thinking and best practice coding standards
Carry out regular one-to-ones, goal setting and development planning, helping analysts progress in their careers
Review and QA analytical outputs and code, providing constructive feedback and promoting high standards
Work closely with the Insight Analytics Manager to identify internal and external opportunities to develop new analytical approaches, products and capabilities.
Contribute to shaping analytical best practice, processes and standards across the team.
Partner with stakeholders across the business to understand requirements and translate them into impactful analytical approaches and solutions for our clients.
Communicate insights clearly and confidently to both technical and non-technical audiences, telling compelling stories with data

Hands-on analytics experience, with strong SQL capability
Proven experience analysing a wide range of data sources, including large and unstructured datasets
Strong working knowledge of Python for data analysis
Experience working with cloud-based data platforms or services (e.g. AWS, Azure, GCP)
Previous experience line managing a small team of data analysts
Excellent business problem-solving skills, with a track record of developing creative, insight-driven analytical solutions
Ability to manage multiple workstreams and priorities, balancing hands-on delivery with people management responsibilities
Strong understanding of how analytics drives commercial value
A keen interest in AI and emerging analytics techniques, and an appetite to explore how these can be applied in a practical, value-driven way (hands-on AI experience not essential)
Confident communicator, able to present findings and recommendations to varied audiences
Collaborative approach, with experience supporting and developing others through QA, coaching and feedback
Structured, methodical working style with the ability to learn quickly and adapt in a fast-paced environment
Strong interpersonal skills and a proactive, supportive leadership style