At a Glance
- Tasks: Transform data into insights using advanced analytics and AI tools.
- Company: Join a global organisation focused on service excellence and innovation.
- Benefits: Enjoy a hybrid work model, competitive salary, and professional growth opportunities.
- Other info: Collaborate with diverse teams in a dynamic environment with excellent career prospects.
- Why this job: Make a real impact by driving data-driven decisions and enhancing service delivery.
- Qualifications: 5-7 years of experience 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.
- 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.
- 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 employer: BOSS ERP Consulting
As a Senior Data Analyst at our global organisation, you will thrive in a dynamic hybrid work environment that fosters innovation and collaboration. We prioritise employee growth through continuous learning opportunities and cutting-edge projects, particularly in AI and data analytics, ensuring you are at the forefront of industry advancements. Our inclusive work culture values your contributions, empowering you to transform data into strategic insights while enjoying a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisations and projects. This gives potential employers a taste of what you can do, especially with Power BI and Python.
✨Tip Number 3
Prepare for interviews by practising common data analyst questions. Think about how you’d explain complex data insights in simple terms – it’s all about storytelling!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly can give you a better shot at landing that dream role.
We think you need these skills to ace Senior Data Analyst
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 through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy to do!
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. Being able to share concrete examples will show your expertise and confidence.
✨Showcase Your Analytical Skills
Be ready to demonstrate your ability to analyse data and derive actionable insights. Think of a few scenarios where you identified trends or patterns that led to significant improvements. This will highlight your problem-solving skills and your understanding of service delivery metrics.
✨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 with sample questions can help you feel more comfortable and confident during the interview.
✨Communicate Clearly and Effectively
Since this role involves stakeholder collaboration, practice explaining complex data concepts in simple terms. Use storytelling techniques to convey how your insights have impacted decision-making in previous roles. This will demonstrate your communication skills and ability to engage with non-technical stakeholders.
