Data Analyst/ Analytics Engineer (Telecoms)
| Posting date: | 16 March 2026 |
|---|---|
| Salary: | £500.0 to £600.0 per day |
| Additional salary information: | £550-600 Per Day (Inside IR35) |
| Hours: | Full time |
| Closing date: | 23 March 2026 |
| Location: | London, London, EC2V 6DN |
| Company: | Hays Specialist Recruitment |
| Job type: | Contract |
| Job reference: | 4780287_1773678578 |
Summary
Your new company
Working for a globally renowned telecoms organisation.
Your new role
We are looking for an experienced Data Analyst / Analytics Engineer to design, build and optimise scalable analytical datasets that power business intelligence, reporting, and commercial analytics.
This role sits within a multidisciplinary data team responsible for delivering reliable, high‑quality analytical data products used across commercial and marketing functions. The ideal candidate will bring strong analytical thinking, advanced SQL expertise, and hands-on experience with GCP/BigQuery, Looker, and Qlik Sense. They will have a proven track record of designing analytics‑ready datasets leveraged by BI tools and semantic layers.
This is not a pipeline engineering role. We are seeking someone who excels in analysing/ developing analytical data models, defining consistent business metrics, and enabling self‑service analytics across the organisation.
What you'll need to succeed
- Highly proficient in SQL, with hands-on experience developing complex analytical transformations.
- Demonstrated ability to build robust analytical data models for BI tools and reporting platforms.
- Strong experience using BI Tool Qliksense.
- Skilled in working with semantic and metrics layers, including tools such as Looker and LookML.
- Adept at defining and maintaining consistent business metrics across reporting and analytics functions.
- Proficiency in SQL, GCP big query and good knowledge of Python.
- Experienced in designing analytics-ready datasets, focusing on usability rather than pure ingestion pipelines.
- Strong working knowledge of Google BigQuery and the wider Google Cloud Platform ecosystem.
- Excellent data analysis and profiling skills, with the ability to interpret and draw insights from complex datasets.
- Experienced in implementing analytical modelling techniques, including star schemas and wide-table designs.
- Background working in Telecommunications, particularly within commercial or marketing analytics teams.
- Exceptional communication abilities and strong stakeholder management skills.
What you'll get in return
Flexible working options available.
What you need to do now
If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
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