Staffline Solutions
Data Analytics Intern

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Data Analytics Intern
Location: United Kingdom – Remote
Employment Type: Internship
Experience Level: Entry Level
Work Arrangement: Remote
About the Opportunity
We are recruiting a Data Analytics Intern on behalf of one of our clients. This opportunity is ideal for students, recent graduates, and aspiring data professionals seeking to build practical analytical skills and gain experience addressing real-world business challenges.
As an intern, you will work alongside experienced professionals and contribute to the full data analytics lifecycle—from collecting and preparing data to identifying insights, developing dashboards, and presenting recommendations that support informed business decisions.
What You’ll Do
As a Data Analytics Intern, you’ll turn raw information into insights that help businesses make smarter decisions. Your responsibilities may include:
- Gather, organise, clean, and transform data from multiple sources.
- Investigate datasets to uncover trends, patterns, relationships, and anomalies.
- Analyse business data and turn complex findings into clear, actionable insights.
- Use SQL to retrieve, filter, join, aggregate, and examine data efficiently.
- Apply Python, Pandas, NumPy, and Jupyter Notebook to explore and manipulate datasets.
- Bring data to life through engaging charts, reports, dashboards, and visualisations.
- Help build, maintain, and improve dashboards using Power BI or Tableau.
- Detect data-quality issues and support validation and accuracy checks.
- Examine business and operational performance to identify areas for improvement.
- Monitor KPIs and key metrics that influence business performance.
- Support recurring reports and data-driven decision-making processes.
- Apply statistical techniques to answer business questions when required.
- Translate business challenges into clear analytical requirements and deliverables.
- Document your approach, assumptions, progress, findings, and outcomes.
- Collaborate with Data Analysts, Data Scientists, Business Analysts, and wider teams.
- Present insights in a clear and engaging way to technical and non-technical audiences.
- Keep learning about developments in Data Analytics, Business Intelligence, Artificial Intelligence, and Data Visualisation.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Technical Skills
Familiarity with some of the following tools and concepts will be beneficial:
- SQL
- Python
- pandas and NumPy
- Microsoft Excel
- Power BI
- Tableau
- Data visualisation
- Exploratory Data Analysis
- Statistics
- Data cleaning and preparation
- Data interpretation
- Jupyter Notebook
- Git and GitHub
Knowledge of advanced Excel, Power BI DAX, Tableau, cloud platforms, or Generative AI tools will be considered an advantage.


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Who Can Apply?
This opportunity may suit candidates who:
- Are currently studying or have recently completed a degree in Data Analytics, Data Science, Computer Science, Statistics, Mathematics, Business Analytics, Economics, or a related field.
- Understand the fundamentals of data analytics.
- Have basic to intermediate knowledge of SQL or Python.
- Are familiar with Excel and general data manipulation.
- Understand basic statistical and analytical methods.
- Have an interest in data visualisation, reporting, and dashboard development.
- Demonstrate strong analytical and problem-solving skills.
- Can work independently in a remote environment.
- Communicate effectively in writing and conversation.
- Pay close attention to detail and show a genuine willingness to learn.
- Can organise tasks, meet deadlines, and collaborate effectively with a remote team.
Why This Opportunity Matters
This internship will allow you to move beyond theory and apply your knowledge to practical business situations. You will develop technical confidence, strengthen your professional portfolio, and learn how data can be transformed into insights that influence real business decisions.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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