
Kortext
Data Analyst
Salary
£40k – £48k
Work type
Remote
Level
mid
Category
Analytics & BI
About the role
Data Analyst
More details
Location: Remote in UK (once per month team meeting in London)
Hours: Monday - Friday, 37.5 hrs 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, and account or permission changes
- Document standard operating procedures and contribute to team knowledge-sharing to reduce single-point dependency
Please view the attached job description for full details.
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Kortext
Data Analyst
Salary
£40k – £48k
Work type
Remote
Level
mid
Category
Analytics & BI
About the role
Data Analyst
More details
Location: Remote in UK (once per month team meeting in London)
Hours: Monday - Friday, 37.5 hrs 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, and account or permission changes
- Document standard operating procedures and contribute to team knowledge-sharing to reduce single-point dependency
Please view the attached job description for full details.