Junior Data Analyst

Intellect Group; Greater London; Hybrid; GBP 40,000 - 45,000; Full time

Job summary

An ambitious intelligence platform company is seeking a Junior Data Analyst to support forecasting and simulation efforts through quality datasets and scalable data workflows. This role requires an MSc in a quantitative discipline and up to 2 years of relevant experience. Key responsibilities include building dashboards and performing data quality checks, alongside a strong emphasis on collaboration with the data science team. The position offers a salary of £40,000 to £45,000 and hybrid working options.

Benefits

Strong benefits package

Meaningful equity participation

Qualifications

• 0–2 years professional experience post-Master’s in a data analyst role.
• Solid understanding of analytics fundamentals.
• Full right to work in the UK.

Responsibilities

• Owning BAU analytics and reporting.
• Building and maintaining clean, analysis-ready datasets.
• Supporting forecasting/simulation initiatives.

Skills

Strong SQL skills

Strong Python for analysis/automation

Dashboarding experience in Power BI

Clear communication skills

Comfortable in fast-paced environments

Education

MSc completed in a quantitative discipline

Tools

Power BI

SQL

Python

Job description

Junior Data Analyst – Private Credit Intelligence (Forecasting & Simulation Support)

Location: London (Hybrid)

Salary: £40,000 – £45,000 + Benefits (plus meaningful equity participation)

Start Date: ASAP

About the Opportunity:

We’re recruiting on behalf of an ambitious, high-growth organisation building an intelligence platform for private credit — turning large-scale, real‑world financial behaviour into forward‑looking insight for fintechs and investors.

This is a Master’s-level Data Analyst role for candidates with up to 2 years’ experience post-Master’s. You’ll sit close to the core analytics and modelling roadmap—supporting forecasting and simulation work through high‑quality datasets, scalable reporting, and reliable pipelines—while also owning key BAU data and reporting responsibilities.

What You’ll Be Doing:

• Owning BAU analytics and reporting: recurring KPI packs, portfolio/credit performance reporting, trend analysis, and stakeholder updates
• Building and maintaining clean, analysis‑ready datasets from messy real‑world sources (portfolio, transaction, performance, behavioural and macro/market inputs)
• Supporting forecasting/simulation initiatives by:
• Preparing modelling tables, features, and cohort definitions
• Producing validation checks, back‑testing support, and monitoring metrics
• Documenting assumptions and ensuring outputs are reproducible
• Developing scalable data workflows in SQL + Python (ingestion, cleaning, transformation, QA)
• Improving data quality: reconciliation, anomaly detection, root‑cause analysis, and automated checks
• Building and maintaining dashboards for multiple stakeholders, ensuring data is accurate, timely, and clearly presented
• Collaborating with data science/engineering to push reliable datasets into production and reduce manual effort

What We’re Looking For:

• MSc completed in a quantitative discipline (e.g., Data Science, Statistics, Mathematics, Computer Science, Physics, Econometrics, OR)
• 0–2 years professional experience post-Master’s in a data analyst / analytics role (internships/placements welcome in addition)
• Strong SQL skills and confidence working with relational data and large datasets
• Strong Python for analysis/automation (pandas, NumPy; good coding hygiene)
• Essential: Dashboarding experience in Power BI, Tableau, or Looker (building and maintaining stakeholder‑facing dashboards)
• Solid understanding of analytics fundamentals: data cleaning, joining/aggregation logic, basic statistics, and QA approaches
• Comfort working in a fast‑paced environment with a mix of BAU and project‑based work
• Clear communication skills and a proactive, process‑improvement mindset
• Full right to work in the UK (visa sponsorship not available)

Desirable (Not Essential):

• Exposure to credit / lending / risk / portfolio datasets
• Time series familiarity (trend/seasonality, cohorts over time, monitoring)
• Experience with data tools such as dbt, Airflow, Snowflake/BigQuery/Databricks (or similar)
• Experience creating automated data quality frameworks or reconciliation checks

Benefits:

• £40,000 – £45,000 salary
• Hybrid working in London
• Strong benefits package (details shared during process)
• Meaningful equity participation
• High‑impact role working with real‑world private credit data and a product‑led roadmap

How to Apply:

Please apply with your most up‑to‑date CV and I’ll be in touch ASAP to arrange an initial call and share further details.