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- Tasks: Analyse data and create insightful reports for universities and NHS Trusts.
- Company: Remote-first company with a focus on innovation and collaboration.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Work remotely with monthly team meet-ups in London.
- Why this job: Join a dynamic team and make a real impact through data-driven decisions.
- Qualifications: Experience in data analysis and familiarity with Power BI and Python.
The predicted salary is between 40000 - 48000 £ per year.
Location: Remote in UK (once per month team meeting in London)
Hours: Monday - Friday, 37.5 hours per week
Salary: £40,000 to £48,000 per annum
Reporting To: Manager of Solutions Engineering
Key Responsibilities
- Customer and publisher analytics
- Deliver bespoke usage and engagement reports for universities, NHS Trusts and publishers with quick turnaround
- Build, maintain and provision access to customer-facing Power BI dashboards (e.g. publisher, university, DDA and OER reporting)
- Produce recurring publisher reports (monthly/quarterly) and respond to ad-hoc requests for usage, collection, turnaway and access-code data
- Support international customers and partners against tight, business-critical deadlines
- Internal reporting and decision support
- Build and maintain internal dashboards for internal departments
- Support recurring strategic analytics workstreams and dashboard refresh cycles
- Produce and refresh Power BI reports for academic-year transitions, contract renewals and commercial reviews
- Data engineering collaboration with KABS (Kortext Digital Transformation Team)
- Collaborate with the KABS Python development team on data ingestion, metadata, semantic models and pipelines, with the ability to read, write and review Python (including PRs, helper scripts and shared notebooks)
- Support the migration of analytics workloads to Microsoft Fabric, including workspace setup, data modelling and source integration
- Investigate and triage data quality issues end-to-end, tracing problems back to source systems, semantic models or Python pipelines, and working with engineers to fix them
- Operational and BAU work
- Run and maintain recurring BAU tasks and tickets, including scheduled reports
- Manage Power BI access, RLS, dataset refresh issues, gateways
Data Analyst in London employer: Kortext
Contact Detail:
Kortext Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend virtual meetups, and connect with fellow data enthusiasts. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Power BI dashboards and any analytics projects you've worked on. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data analyst questions and scenarios. Practice explaining your thought process when tackling data quality issues or collaborating on Python projects. 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 in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Analyst role. Highlight relevant experience, especially with Power BI and Python, as these are key for us. Use keywords from the job description to show you’re a perfect fit!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share why you’re excited about the role and how your skills align with our needs. Don’t forget to mention any experience with customer analytics or dashboard creation.
Showcase Your Analytical Skills: In your application, give examples of how you've tackled data quality issues or built dashboards in the past. We love seeing real-world applications of your skills, so don’t hold back!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Kortext
✨Know Your Data Tools
Make sure you’re familiar with Power BI and Python, as these are key to the role. Brush up on your skills and be ready to discuss how you've used them in past projects. If you can share specific examples of dashboards you've built or data issues you've resolved, that’ll really impress!
✨Understand the Business Context
Research the types of customers and publishers the company works with. Knowing how your analytics can impact universities and NHS Trusts will show that you’re not just a tech whiz but also understand the bigger picture. Be prepared to discuss how your insights can drive decisions.
✨Prepare for Technical Questions
Expect some technical questions about data quality issues and how to troubleshoot them. Think through scenarios where you’ve had to investigate data discrepancies and be ready to explain your thought process. This will demonstrate your analytical skills and problem-solving abilities.
✨Show Your Collaborative Spirit
Since the role involves working with various teams, highlight your experience in collaboration. Share examples of how you’ve worked with engineers or other departments to achieve a common goal. This will show that you’re a team player who can thrive in a remote environment.