At a Glance
- Tasks: Own critical data flows and deliver actionable insights using Power BI.
- Company: Market-leading IT services organisation with a focus on innovation.
- Benefits: Competitive salary up to £65,000 and opportunities for professional growth.
- Other info: Join a dynamic team and gain experience in AI and advanced data platforms.
- Why this job: Make a real impact by solving complex data challenges in a fast-paced environment.
- Qualifications: Experience in data analysis, strong DAX knowledge, and SQL skills.
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: (url removed)
Senior Data Analyst 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 a collaborative work culture that encourages continuous learning and development, alongside competitive salaries and benefits. Experience the unique advantage of working in a fast-paced environment that embraces cutting-edge technology and fosters meaningful contributions to critical business decisions.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees at the company on LinkedIn or through mutual connections. A friendly chat can give you insider info and might even lead to a referral, which can boost your chances of landing that Senior Data Analyst role.
✨Tip Number 2
Prepare for the interview by brushing up on your DAX and SQL skills. We all know that technical questions can be tricky, so practice solving real-world data problems. This will show them you’re not just a numbers person but a problem-solver who can handle live operational data.
✨Tip Number 3
Showcase your communication skills! As a bridge between technical and non-technical stakeholders, it’s crucial to demonstrate how you can translate complex data insights into actionable outputs. Prepare examples from your past experiences where you’ve done just that.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. So, get your application in and let’s see if you’re the right fit for this exciting opportunity!
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 Power BI, DAX, and SQL, as these are key skills we're looking for. Show us how your past work aligns with the responsibilities mentioned in the job description.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role. Mention specific projects where you've tackled complex data challenges or improved reporting processes, and let your personality come through.
Showcase Your Problem-Solving Skills:In your application, don't just list your skills—demonstrate them! Share examples of how you've resolved data discrepancies or optimised workflows in previous roles. We love seeing candidates who can think critically and act proactively.
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!
How to prepare for a job interview at Investigo
✨Know Your Data Tools
Make sure you brush up on your Power BI skills before the interview. Be ready to discuss how you've designed and optimised reports in the past, and have examples of DAX calculations you've implemented. This will show that you’re not just familiar with the tools but can also leverage them effectively.
✨SQL Savvy
Since SQL is a big part of this role, prepare to talk about your experience writing queries and stored procedures. Think of specific challenges you've faced and how you resolved them. If you can share a success story about refactoring legacy logic, even better!
✨Bridge the Gap
This position requires you to communicate between technical and non-technical teams. Prepare to give examples of how you've translated complex data insights into actionable reports for stakeholders. Highlight your communication skills and how they’ve helped in decision-making processes.
✨Attention to Detail
Given the importance of data accuracy in this role, be ready to discuss how you ensure precision in your work. Share any methods or tools you use to double-check your data flows and reconciliation efforts. This will demonstrate your proactive problem-solving mindset.
