Junior Analytics Engineer
UK Visa Sponsorship Analytics
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About The Role
We’re looking for a Junior Analytics Engineer to support the development of data infrastructure and analytical capabilities across our Operations teams (Customer Service, Financial Support, Fraud, FinCrime, Complaints, and QA).
This role sits at the intersection of data engineering, analytics, and operational insight. You will build the underlying data models that power operational reporting, while also helping teams unlock insights through AI-assisted analytics, and self-serve data tools.
The goal is to move beyond static reporting and enable faster, more scalable decision-making across Operations.
What You’ll D
o
Build the Operational Data Lay
- erDesign and maintain scalable DBT models and SQL pipelines that transform raw operational data into clean, reliable analytics layer
- s.Establish clear metric definitions and data models so operational teams can trust and reuse the same datasets across different analyse
- s.Develop a single operational analytics layer that integrates data across multiple systems including customer support platforms, risk systems, QA tooling, and payment
s.
Enable Self-Serve Analyt
- icsDesign systems that allow Operations teams to explore data independently without relying on manual reporti
- ng.Leverage AI-assisted analytics tools (e.g., Claude or similar LLM workflows) to enable teams to query data, generate insights, and explore trends more efficient
- ly.Build internal tooling and workflows that make operational data easier to access, understand, and analy
se.
Analytical Deep Dives & Insight Genera
- tionGo beyond reporting to identify operational inefficiencies, behavioural trends, and improvement opportunit
- ies.Use Python and SQL to conduct deeper analysis and create clear visualisations that help stakeholders understand complex operational dynam
- ics.Produce structured analyses on topics such
- as:SLA performance and operational bottlen
- ecksFraud and financial crime tr
- endsCustomer support effici
- encyComplaint and vulnerability patt
- ernsAgent productivity and QA perfor
manc
Data Quality & Inte
- grityEnsure data pipelines and analytical models are accurate, reliable, and scal
- able.Proactively identify data discrepancies or gaps and improve the robustness of operational data pipel
- ines.Implement processes that ensure consistent metric definitions and version-controlled analytics l
ogic.
Stakeholder Enga
- gementTranslate operational questions into data models, analyses, and insights that drive decision-m
- aking.Proactively identify opportunities where data and analytics can improve operational perfor
mance.
What We’re Look
ing For
Es
- sential:1+ years experience in analytics engineering, BI, or data analytics roles in SQL-heavy envir
- onments.Strong experience with SQL and familiarity with DBT, including building and maintaining scalable data
- models.Good understanding of data modelling, metric standardisation, and analytical best pr
- actices.Ability to translate complex data into clear insights for both technical and non-technical stake
holders.
- DesirableExperience working with operational
irements.
Intervi
- ew ProcessQuick call with a Recruite
- r (30 min)Technical Interview - (SQL + analytical thinkin
- g (60 min)Competency interview with the hiring manage
- r (30 min)Final Interviews with Senior Stakeholders