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Data Analysis Intern — Pimlico Enterprises
About Us
Pimlico Enterprises is a dynamic data consultancy and business intelligence firm headquartered in London, United Kingdom. We specialize in helping commercial clients unlock actionable insights, optimize operational decision-making, and automate performance reporting through robust data pipelines and interactive visualization platforms.
Website: https://www.pimlicoplumbers.com/
Our analytics culture thrives on curiosity, technical accuracy, and strategic collaboration, delivering bespoke data solutions across diverse market sectors.
Job Overview & Key Responsibilities
As a Data Analysis Intern, you will join our core analytics team in a paid, entry-level placement designed to bridge academic knowledge with industry practice. Working in a fully remote or hybrid environment (37.5 hours per week), you will assist senior data consultants in transforming raw datasets into clear executive dashboards and strategic reports.
Key Responsibilities
- Data Hygiene & ETL Assistance: Assist in gathering, cleaning, structuring, and validating raw datasets to ensure high data integrity.
- SQL Querying & Extraction: Draft basic-to-intermediate SQL queries to pull, filter, and aggregate relational database tables.
- Dashboarding & Visualization: Help build and maintain dynamic business dashboards using Power BI or advanced Microsoft Excel.
- Exploratory Data Analysis (EDA): Conduct statistical checks to identify hidden trends, seasonal patterns, and operational anomalies.
- Executive Presentation: Summarize analytical findings into concise reports and slide decks for presentation to both technical team leads and non-technical client stakeholders.
- Documentation & Governance: Maintain thorough process logs, data dictionaries, and analytical workflow documentation.
Requirements & Desired Qualifications
- Educational Background: Degree or coursework in Statistics, Economics, Computer Science, Mathematics, Business Analytics, or a quantitative discipline.
- Technical Skills: Sound proficiency in Microsoft Excel (Pivot Tables, VLOOKUP/XLOOKUP, logical functions). Basic familiarity with SQL and visualization platforms (Power BI or Tableau) is highly advantageous.
- Analytical Mindset: Strong attention to detail, logical problem-solving aptitude, and a structured approach to working with unorganized data.
- Communication Skills: Ability to translate complex numbers into clear, accessible verbal and written explanations.
- Work Eligibility: Must possess valid, independent right to work in the UK (visa sponsorship is not available for this role).
Job Role Comparison Table
| Feature / Aspect | Junior Data Entry Clerk | Data Analysis Intern (Pimlico) | Junior Data Engineer |
| Primary Focus | Manual data input & routine record maintenance | Data cleaning, SQL extraction, EDA & dashboard building | Building backend data pipelines, ETL infrastructure & data lakes |
| Core Toolset | basic Excel, Google Sheets, internal databases | SQL, Power BI, Advanced Excel & EDA techniques | Python, PySpark, SQL, AWS/Azure, Airflow |
| Work Mode & Compensation | Onsite / Low hourly wage | Fully Remote/Hybrid (£1,800 – £2,500/month stipend) | Onsite/Hybrid (£32,000+ per year) |
| Career Path | Administrative operations | Data Analyst, BI Developer, Analytics Consultant | Data Engineer, Cloud Architect |
Key Benefits of This Role
- Competitive Monthly Stipend: Earn £1,800 – £2,500 per month during your internship, backed by performance-based bonus eligibility.
- Flexible Work Model: 100% remote working option with hybrid access for candidates based near London.
- Comprehensive Paid Leave: 28 days of annual leave plus UK bank holidays, alongside enhanced pension contributions.
- Professional & Health Support: Coverage of professional membership fees, plus 24/7 Employee Assistance Program (EAP) access providing virtual GP consultations and mental health support.
- Structured Hiring Pathway: Clear 3-stage recruitment pipeline designed to foster candidate growth and feedback.
How to Prepare a CV for This Position
- Feature Technical Skills at the Top: Include a dedicated “Technical Skills” section categorizing your competencies (e.g., Languages: SQL, Python (basic); Tools: Power BI, Excel, Tableau; Concepts: EDA, ETL, Data Cleaning).
- Detail Practical Data Projects: Outline 2–3 university or personal portfolio projects. Mention the dataset size, tools used, specific queries written, and business insights discovered.
- Quantify Achievements: Where possible, show measurable outcomes from past work or academic projects (e.g., “Cleaned and structured a dataset of 10,000+ records to generate a Power BI dashboard tracking sales conversion”).
- Keep it Clean & Concise: Structure your CV logically with clear section headers, consistent bullet points, and zero spelling errors to reflect your attention to detail.
Career Guide Tips for Growth
- Master SQL Joins and Aggregations: Focus heavily on perfecting
INNER/LEFT JOIN,GROUP BY,HAVING, and window functions—these form the bedrock of technical interviews for entry-level analytics roles. - Build a Public GitHub or Tableau Portfolio: Host interactive dashboards or Jupyter notebooks online so hiring managers can evaluate your data storytelling capabilities firsthand.
- Develop Commercial Awareness: Analytics is about solving business problems, not just writing code. Always ask yourself: “How does this chart help the client make or save money?”
How to Prepare for the Interview
- Understand the 3-Stage Process: Prepare for the Initial Chat (motivation), HR Interview (culture fit and goals), and Technical Round (practical data assessment).
- Brush Up on Technical Fundamentals: Be ready to write or explain basic SQL queries live, discuss Excel formulas, and describe how you handle missing or duplicate values in a raw dataset.
- Prepare STAR Stories: Frame past project experiences using the Situation, Task, Action, and Result format, highlighting how you overcame data formatting issues or complex analytical challenges.
Interview Questions & Guidance
1. “How do you approach cleaning and preparing an unorganized or messy dataset before starting your analysis?”
How to answer: Outline a step-by-step framework: inspecting for missing or null values, removing duplicate entries, verifying data types (e.g., text vs. date vs. numeric), identifying statistical outliers, and validating sample rows against domain expectations.
2. “Can you explain the difference between a WHERE clause and a HAVING clause in SQL?”
How to answer: State clearly that
WHEREfilters individual rows before any groupings or aggregations take place, whereasHAVINGfilters aggregated data results after aGROUP BYclause has been executed.
3. “How would you explain a complex data visualization or trend to a non-technical business stakeholder?”
How to answer: Focus on data storytelling. Explain that you start with the main key takeaway or recommendation first, eliminate unnecessary jargon, use intuitive charts (like simple bar or line graphs over crowded complex visuals), and connect the metrics directly to business goals.
Salary Insight
- Internship Compensation: £1,800 – £2,500 per month (Pro-rata monthly stipend based on a 37.5-hour workweek).
- Additional Financial Perks: Performance-based bonus schemes, professional membership fee coverage, and enhanced pension contributions.
How to Apply
To apply for the Data Analysis Internship at Pimlico Enterprises:
- 🌐 Application Pathway: Submit your application and updated CV via Pimlico Enterprises’ official candidate portal or designated UK job platforms.
- 📍 Location / Mode: London, UK (Fully Remote / Hybrid options available).
- ⚠️ Work Authorization: Applicants must hold independent legal right to work in the UK without requiring visa sponsorship.
Disclaimer
This job summary and interview guide has been independently formatted for educational and recruitment preparation purposes. Pimlico Enterprises retains all primary rights to its official job postings, selection criteria, and final employment offers. Candidates should verify all specific stipend details, shift requirements, and contract terms directly through official Pimlico Enterprises communication channels.