At a Glance
- Tasks: Own critical data flows and deliver actionable insights using Power BI.
- Company: Market-leading IT services organisation in a dynamic environment.
- Benefits: Competitive salary up to £65,000 and opportunities for professional growth.
- Other info: Great opportunity to gain experience in AI and work with innovative data platforms.
- Why this job: Make a real impact by solving complex data challenges and supporting key decisions.
- Qualifications: Experience with DAX, SQL, and a proactive problem-solving mindset.
The predicted salary is between 60000 - 65000 € per year.
A Data Analyst is required to join a market-leading IT services organisation, taking ownership of business-critical data flows, reporting, and operational insights across the company’s ERP and reporting platforms. This role is perfect for an experienced analyst who excels in handling live operational data, solving complex data challenges, and supporting critical decision-making processes.
Key Responsibilities & Skills:
- Design, maintain, and optimise Power BI reports for internal and external stakeholders, delivering data-backed insights and actionable outputs. Strong DAX knowledge is essential for building KPIs, time-based analysis, and exception reporting.
- Lead reconciliation efforts to address discrepancies across invoices, delivery records, customer accounts, and operational data, ensuring data accuracy and alignment across live systems critical to finance and billing processes.
- Write and refine SQL queries, stored procedures, and SSIS packages to support robust and scalable data workflows, with a focus on refactoring legacy logic for reliability and performance improvements.
- Analyse and resolve data challenges within ERP and financial systems, working closely with development teams to align manual workflows with automated reporting pipelines.
- Act as a key bridge between technical and non-technical stakeholders, translating business needs into actionable reporting while delivering clear, concise communication to support decision-making.
- Experience working with Microsoft Fabric and data lake architecture is advantageous as the organisation evolves its data platform to stay at the forefront of innovation, looking at and offering a great opportunity to gain extensive experience in AI roll out.
The organisation is looking for candidates who demonstrate strong attention to detail, a proactive problem-solving mindset, and the ability to navigate complex data ecosystems in production-critical environments. If you’re ready to take on a high-visibility role in a fast-paced organisation and want to explore this opportunity further, please get in touch by applying or emailing directly.
Senior Data Analyst in Watford employer: Investigo
Join a dynamic and innovative IT services organisation in Watford, where your expertise as a Senior Data Analyst will be valued and rewarded. With a strong focus on employee growth, we offer comprehensive training opportunities, a collaborative work culture, and the chance to work on cutting-edge projects involving AI and data architecture. Enjoy competitive salaries, a supportive environment, and the satisfaction of making impactful contributions to our business-critical operations.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in Watford
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry meetups. We all know that sometimes it’s not just what you know, but who you know that can get your foot in the door.
✨Tip Number 2
Prepare for those interviews by practising common data analyst questions. We recommend using the STAR method to structure your answers. It’ll help you showcase your problem-solving skills and experience effectively!
✨Tip Number 3
Showcase your skills with a portfolio! Create a few sample reports or dashboards using Power BI or SQL. We love seeing practical examples of your work, and it gives you a chance to shine during interviews.
✨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’re always on the lookout for passionate candidates ready to tackle data challenges head-on.
We think you need these skills to ace Senior Data Analyst in Watford
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Analyst role. Highlight your experience with Power BI, DAX, and SQL, as these are key skills we're looking for. Show us how your past roles have prepared you for this position!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data analysis and how you can contribute to our team. Be specific about your achievements and how they relate to the responsibilities outlined in the job description.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex data challenges in the past. We love candidates who can demonstrate a proactive problem-solving mindset, so don't hold back on sharing your success stories!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you're keen on joining our team at StudySmarter!
How to prepare for a job interview at Investigo
✨Know Your Data Tools
Make sure you brush up on your Power BI skills and DAX knowledge before the interview. Be ready to discuss how you've designed and optimised reports in the past, as this will show your hands-on experience and understanding of the tools they'll expect you to use.
✨Showcase Your SQL Skills
Prepare to talk about your experience with SQL queries and stored procedures. Have specific examples ready where you've refactored legacy logic or improved data workflows. This will demonstrate your technical prowess and problem-solving abilities.
✨Bridge the Gap
Since this role involves acting as a liaison between technical and non-technical stakeholders, think of examples where you've successfully communicated complex data insights to non-technical audiences. This will highlight your ability to translate business needs into actionable reporting.
✨Emphasise Attention to Detail
Be prepared to discuss how you've ensured data accuracy in previous roles, especially when reconciling discrepancies. Share specific instances where your attention to detail made a significant impact on decision-making processes.
