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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 a hybrid work model, competitive salary, and career growth opportunities.
- Other info: Collaborate with teams to innovate and automate data processes.
- Why this job: Make a real impact by enhancing service delivery with cutting-edge analytics.
- Qualifications: 5-7 years experience in data analysis, strong Python and Power BI skills required.
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.
- 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.
- Partner with stakeholders to identify high-value use cases where AI can enhance decision-making.
- Data Governance & Quality Assurance.
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.
- ~ Demonstrated experience with forecasting, time-series analysis, and pattern recognition.
- ~ Ability to translate complex data into executive-level insights and compelling narratives.
- ~ 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.
- Familiarity with modern data platforms (Azure Data Lake, Synapse, Snowflake, Lakehouse).
Data Analyst - Data Analityk in Kingston upon Thames employer: BOSS ERP Consulting
Contact Detail:
BOSS ERP Consulting Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst - Data Analityk in Kingston upon Thames
✨Tip Number 1
Network like a pro! Reach out to your connections on LinkedIn or attend industry meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisations and projects. This is your chance to demonstrate your expertise in Power BI and Python, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by practising common data analyst questions. Think about how you can relate your experience with Azure, Salesforce, and AI analytics to the role. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Analyst - Data Analityk 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 AI tools you've worked with, as that's a big plus for us.
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 through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it's super easy!
How to prepare for a job interview at BOSS ERP Consulting
✨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 demonstrate your analytical thinking. Prepare examples of how you've performed historical trend analysis or developed forecasting models. Use clear, concise narratives to explain how your insights have driven 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 and be prepared to solve problems on the spot. Practising common data scenarios can help you feel more confident during this part of the interview.
✨Highlight Your AI Experience
Since the role involves AI-assisted analytics, be prepared to discuss any experience you have with AI tools like Copilot or ChatGPT. Share specific examples of how you've integrated AI into your analytics work, as this will set you apart from other candidates.