Senior Data Analyst - #1724851

Senior Data Analyst

Location: UK-wide (Hybrid/Remote with occasional client site visits)

Salary: Competitive

Contract Type: Permanent

Eligibility: Candidates must have the right to work in the UK

About the Organisation

Our client is a digital consultancy delivering user-focused, data-informed solutions to public and private sector clients. They build multidisciplinary teams that work collaboratively to create services and platforms that are inclusive, impactful, and aligned to client goals.

Role Overview

The Senior Data Analyst will lead the delivery of insight-driven analysis within multidisciplinary teams. This role requires expertise in data exploration, statistical modelling, visualisation, and stakeholder engagement to produce actionable intelligence that supports decision-making and service optimisation.

Key Responsibilities

• Translate client needs into analytical tasks and develop clear, actionable insights
• Present findings using reports, dashboards, and presentations tailored to diverse audiences
• Identify opportunities to apply advanced analytics and machine learning techniques
• Communicate statistical methods and data insights clearly across technical and non-technical stakeholders
• Work with structured and unstructured data from multiple sources, including open data
• Apply data cleaning, management, and blending techniques using modern tools
• Utilise data analysis and visualisation tools (e.g., Power BI, Tableau, Looker Studio)
• Explore and validate data from warehouses, lakes, and cloud-based platforms (e.g., AWS, Azure, GCP, Snowflake)
• Use SQL and programming languages such as Python, R, Scala, or Julia
• Identify data quality issues and propose solutions for improvement
• Contribute to internal knowledge sharing and represent the organisation externally (e.g., blogs, workshops)
• Mentor junior analysts and contribute to capability building within the team

Candidate Profile

Essential:

• Proven experience in data analysis, data modelling, and data visualisation
• Proficiency in BI tools (e.g., Tableau, Power BI, Looker Studio)
• Strong SQL skills and working knowledge of one or more analytics languages (Python, R, etc.)
• Experience with web analytics platforms (Google Analytics, Adobe Analytics)
• Familiarity with cloud analytics environments (AWS, Azure, GCP, Snowflake)
• Strong stakeholder management and collaboration skills
• Proven mentoring or coaching experience

Desirable:

• Background in public sector or consultancy environments
• Knowledge of big data platforms (e.g., Spark, Splunk)
• A strong interest in continuous professional development and technology trends

Benefits

• 25 days holiday plus UK public holidays
• 6% employer pension contribution (2% employee)
• Critical illness and life assurance
• Perkbox discounts platform
• Volunteer days
• Cycle-to-work and electric vehicle schemes
• Season ticket loans
• Wellbeing and financial guidance sessions
• Flexible benefits scheme including:
• Private health and dental insurance
• Extra pension contributions
• Additional holidays (up to 2 days)
• Wellbeing and charity contributions
• Tree planting initiatives