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For Companies At a Glance
- Tasks: Own analytics and reporting, build datasets, support forecasting, and create dashboards.
- Company: High-growth organisation revolutionising private credit intelligence.
- Benefits: Competitive salary, hybrid work, strong benefits, and equity participation.
- Why this job: Make a real impact with data in a fast-paced, innovative environment.
- Qualifications: MSc in a quantitative field and 0-2 years of relevant experience.
- Other info: Exciting opportunity for career growth and collaboration with data science teams.
The predicted salary is between 40000 - 45000 £ per year.
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.
Junior Data Analyst in City of London employer: Intellect Group
Contact Detail:
Intellect Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Junior Data Analyst in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common data analyst questions. Brush up on your SQL and Python skills, and be ready to discuss your experience with dashboards and data cleaning. We want you to shine!
✨Tip Number 3
Showcase your projects! Whether it's a personal project or something from your studies, having a portfolio of your work can really set you apart. Make sure to highlight your dashboarding skills and any cool analyses you've done.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search. Let’s get you that Junior Data Analyst role!
We think you need these skills to ace Junior Data Analyst in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Junior Data Analyst role. Highlight relevant skills like SQL and Python, and showcase any experience with dashboarding tools like Power BI or Tableau. We want to see how your background fits with what we're looking for!
Showcase Your Projects: If you've worked on any projects during your studies or previous roles, don’t hold back! Include details about your data analysis work, especially if it involved forecasting or simulation. This will help us understand your hands-on experience.
Keep It Clear and Concise: When writing your application, clarity is key. Use straightforward language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point—this shows us you can communicate effectively!
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we’ll be able to process your application faster. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Intellect Group
✨Know Your Data Tools
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss how you've used these tools in past projects or internships, especially in relation to data cleaning and analysis. Highlight any experience with dashboarding tools like Power BI or Tableau, as this will be crucial for the role.
✨Showcase Your Analytical Mindset
Prepare to talk about your approach to data analysis and problem-solving. Think of specific examples where you've tackled messy datasets or performed trend analysis. This will demonstrate your understanding of analytics fundamentals and your ability to improve data quality.
✨Communicate Clearly
Practice explaining complex data concepts in simple terms. The interviewers will want to see that you can communicate effectively with stakeholders who may not have a technical background. Consider preparing a few scenarios where you had to present data insights clearly and concisely.
✨Be Ready for Scenario Questions
Expect questions that ask how you would handle specific situations, such as dealing with incomplete data or performing validation checks. Think through your thought process and be prepared to explain your reasoning. This will show your proactive mindset and ability to work in a fast-paced environment.
