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- Tasks: Analyse data and create insightful reports for universities and NHS Trusts.
- Company: Join a forward-thinking company with a focus on innovation and collaboration.
- Benefits: Enjoy a competitive salary, remote work flexibility, and opportunities for professional growth.
- Other info: Work in a dynamic environment with monthly team meet-ups in London.
- Why this job: Make a real impact by transforming data into actionable insights for key stakeholders.
- Qualifications: Experience in data analysis and proficiency in 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
- 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
- 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
- Run and maintain recurring BAU tasks and tickets, including scheduled reports
- Manage Power BI access, RLS, dataset refresh issues, gateways, and account or permission changes
- Document standard operating procedures and contribute to team knowledge-sharing to reduce single-point dependency
Data Analyst employer: Kortext
Contact Detail:
Kortext Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨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 analysis questions and scenarios. Practice explaining your thought process when tackling data problems, as this will demonstrate your analytical skills and problem-solving abilities.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications come directly from passionate candidates. Plus, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Data Analyst
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 data analytics. 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 analysis and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Showcase Your Technical Skills: Don’t forget to mention your technical skills, especially in Python and data engineering. If you've worked on similar projects or have experience with dashboards, let us know! We’re keen to see your expertise.
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 don’t miss 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, prepare a few examples of dashboards or reports you've created.
✨Understand the Business Context
Research the types of customers and publishers the company works with. Knowing their needs and how your analytics can support them will show that you’re not just a data whiz but also understand the bigger picture.
✨Prepare for Technical Questions
Expect questions about data quality issues and how you would troubleshoot them. Think through some scenarios where you’ve had to investigate data discrepancies and be ready to explain your thought process.
✨Show Your Collaborative Spirit
This role involves working with various teams, so be prepared to discuss how you’ve collaborated in the past. Share examples of how you’ve worked with developers or other departments to achieve a common goal, especially in tight deadlines.