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- Tasks: Transform data into insights using advanced analytics and AI tools.
- Company: Join a global organisation focused on data-driven decision-making.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on continuous improvement and career advancement.
- Why this job: Make a real impact by enhancing service delivery through innovative data solutions.
- Qualifications: 5-7 years in data analysis with strong Python and Power BI skills.
The predicted salary is between 55000 - 70000 £ per year.
Location: Hybrid (split between site-based and home-working)
Reports to: Global Head of Service Delivery, IT & Repairs
Contract Type: Permanent / Full-time
Contracted Hours/Days: 37.5 hours / 5 days per week
We are hiring for a Senior Data Analyst to enable data-driven decision-making across this global organisation. You will be responsible for extracting, transforming, analysing and visualising data from multiple enterprise systems including Azure, Salesforce and Halo ITSM to deliver high-quality insights for senior executives, sales teams, service delivery, engineering, product teams, and customers.
The role will design and maintain advanced Power BI dashboards, build robust data models, perform historical trend analysis, and develop forecasting and pattern-detection models. In addition, this role will contribute to the evolution of AI-enabled analytics, using Python and modern AI tools (e.g. Copilot and ChatGPT-style agents) to enhance insight generation, automate analysis, and enable self-service reporting. This role is critical to the ability to scale service operations globally while maintaining service excellence, customer trust, and commercial performance. By combining advanced analytics, automation, and emerging AI capabilities, the Senior Data Analyst will help transform data into a strategic asset across the organisation.
Key Responsibilities for the Senior Data Analyst:
- Design, build, and maintain reliable data pipelines to extract data.
- Develop automated ETL processes to ensure timely, accurate, and scalable data refresh cycles.
- Work with development teams and system owners to integrate data via APIs and improve data availability.
- Build and maintain robust data models.
- Analyse service delivery performance.
- Perform historical trend analysis and develop forecasting models.
- Identify patterns, anomalies, and systemic issues that impact service quality or cost-to-serve.
- Design and deliver high-quality Power BI dashboards.
- Standardise KPI definitions and reporting structures across regions.
- Automate recurring reports and reduce reliance on manual, spreadsheet-based reporting.
- Ensure dashboards tell a clear, actionable story rather than simply presenting data.
- Use Python to automate data processing, analysis, and reporting workflows.
- Contribute to the design and development of AI-assisted analytics solutions, including Copilot-style or ChatGPT-based agents to support insight generation, reporting, or operational queries.
- Partner with stakeholders to identify high-value use cases where AI can enhance decision-making.
- Provide analytical insight to support continuous improvement initiatives.
- Data Governance & Quality Assurance.
- Stakeholder Collaboration.
Essential Qualifications, Skills and Experience for the Senior Data Analyst:
- 5–7+ years’ experience as a Senior Data Analyst, BI Analyst, or Analytics Specialist, ideally within SaaS, ITSM, or service-led organisations.
- Strong Python experience (essential), including use for data analysis, automation, modelling, and system integration.
- Advanced SQL skills and experience building and maintaining ETL pipelines.
- Advanced Power BI expertise, including DAX, dataflows, model optimisation, and performance tuning.
- Proven experience extracting and working with data from Azure, Salesforce, and ITSM platforms.
- Strong understanding of service delivery and operational metrics (SLAs, KPIs, MTTR, backlog management, incident trends, repair logistics).
- Demonstrated experience with forecasting, time-series analysis, and pattern recognition.
- Ability to translate complex data into executive-level insights and compelling narratives.
- Strong communication and stakeholder management skills.
Desirable:
- Experience developing AI-assisted analytics solutions, including building Copilot, ChatGPT, or similar AI agents to support reporting, insight generation, or operational decision-making.
- Leveraging large language models (LLMs) to enhance data exploration or automation.
- Experience integrating Python analytics with Azure AI services (e.g. Azure OpenAI).
- Familiarity with modern data platforms (Azure Data Lake, Synapse, Snowflake, Lakehouse).
- Experience with predictive or prescriptive analytics beyond basic forecasting.
- Exposure to automation or orchestration tools for analytics pipelines.
Senior Data Analyst in Kingston upon Thames employer: BOSS Professional Services LTD
Contact Detail:
BOSS Professional Services LTD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst in Kingston upon Thames
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Senior Data Analyst role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI dashboards and Python projects. We want to see how you turn data into insights, so make sure your work is front and centre when you’re chatting with potential employers.
✨Tip Number 3
Prepare for those interviews! Brush up on your SQL and Python skills, and be ready to discuss your experience with Azure and Salesforce. We recommend practising common interview questions related to data analysis and service delivery metrics.
✨Tip Number 4
Apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can give you a better chance of getting noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Analyst in Kingston upon Thames
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with Python, Power BI, and any relevant data platforms like Azure or Salesforce. We want to see how your skills match 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 analytics and how you can contribute to our team. Don’t forget to mention any experience with AI tools or automation that aligns with our needs.
Showcase Your Projects: If you've worked on any cool projects involving data analysis, forecasting, or AI, make sure to include them in your application. We love seeing real-world examples of your work and how you've used your skills to drive insights.
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 keen on joining the StudySmarter family!
How to prepare for a job interview at BOSS Professional Services LTD
✨Know Your Data Tools Inside Out
Make sure you’re well-versed in the tools mentioned in the job description, especially Power BI and Python. Prepare to discuss specific projects where you've used these tools to extract insights or automate processes. This will show your practical experience and how you can hit the ground running.
✨Showcase Your Analytical Skills
Be ready to talk about your experience with data analysis, forecasting, and pattern recognition. Bring examples of how you've turned complex data into actionable insights. Use storytelling to illustrate how your analyses have impacted decision-making in previous roles.
✨Prepare for Technical Questions
Expect technical questions related to SQL, ETL processes, and data modelling. Brush up on your knowledge of these areas and be prepared to solve problems on the spot. Practising common interview questions can help you feel more confident during this part of the interview.
✨Engage with Stakeholders
Since stakeholder collaboration is key, think of examples where you've successfully worked with different teams. Be ready to discuss how you’ve communicated complex data insights to non-technical stakeholders, ensuring they understand the value of your findings.