Stealth Startup
Data Analytics Intern
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Data Analytics Intern
Location: Manchester, United Kingdom – Remote
Employment Type: Internship
Experience Level: Entry Level
Work Arrangement: Remote
About the Role
We’re recruiting a Data Analytics Intern on behalf of one of our clients. This internship is ideal for students, recent graduates, and aspiring data analysts who want to strengthen their analytical capabilities and gain hands-on experience solving real-world business problems with data.
The successful candidate will work closely with experienced professionals and be involved in the full analytics lifecycle: data collection, cleaning, analysis, visualization, reporting, dashboard creation, and translating insights into actionable recommendations.
Key Responsibilities:
As a Data Analytics Intern, you will turn raw information into insights that help solve real business problems. Your responsibilities will include:
- Prepare the data foundation: Collect, organise, clean, transform, and structure data from multiple sources so it is ready for analysis.
- Explore the story behind the data: Use Exploratory Data Analysis to identify trends, patterns, relationships, and unusual findings.
- Turn numbers into insights: Analyse datasets and provide clear, business-focused recommendations that support better decisions.
- Query with confidence: Write SQL queries to extract, filter, join, and analyse data efficiently.
- Analyse with Python: Use Python and libraries such as pandas and NumPy to manipulate data and uncover useful findings.
- Bring insights to life: Create reports, charts, and visualisations that make complex information easy to understand.
- Support dashboard development: Assist with designing, building, updating, and maintaining analytical dashboards.
- Protect data quality: Identify inconsistencies, missing values, and other data quality issues while supporting validation activities.
- Find opportunities for improvement: Examine business and operational data to highlight inefficiencies, risks, and areas for growth.
- Track business performance: Monitor KPIs and important business metrics to help teams understand progress and performance.
- Support data-driven decisions: Contribute to regular reporting cycles and help transform analysis into practical business actions.
- Apply statistical thinking: Use appropriate statistical methods to support deeper analysis and more reliable conclusions.
- Translate questions into solutions: Convert business challenges and stakeholder questions into clear analytical requirements.
- Document your work: Record methodologies, analysis steps, findings, assumptions, and project deliverables to support transparency and reproducibility.
- Collaborate across teams: Work with Data Analysts, Data Scientists, Business Analysts, and other cross-functional professionals.
- Communicate with impact: Present findings in a clear, concise, and stakeholder-friendly way to both technical and non-technical audiences.
- Keep learning and evolving: Stay updated with emerging developments in Data Analytics, Business Intelligence, Artificial Intelligence, and Data Visualisation.
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Technical Skills
Candidates should have familiarity with some of the following:
- SQL
- Python
- Pandas
- NumPy
- Excel
- Power BI
- Tableau
- Data Visualization
- Exploratory Data Analysis
- Statistics
- Data Cleaning
- Data Interpretation
- Jupyter Notebook
- Git/GitHub
Knowledge of advanced Excel, Power BI DAX, Tableau, cloud platforms, or Generative AI tools will be considered an advantage.
Qualifications
- Currently pursuing or recently completed a degree in Data Analytics, Data Science, Computer Science, Statistics, Mathematics, Business Analytics, Economics, or a related discipline.
- Understanding of fundamental data analytics concepts.
- Basic to intermediate proficiency in SQL and/or Python.
- Familiarity with Excel and data manipulation.
- Understanding of statistics and analytical techniques.
- Basic knowledge of data visualization and reporting.
- Strong analytical and problem-solving abilities.
- Ability to work independently in a remote environment.
- Good written and verbal communication skills.
- Strong attention to detail and willingness to learn.
- Ability to manage tasks, meet deadlines, and collaborate effectively with a remote team.
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Preferred Qualifications
- Academic or personal projects involving Data Analytics or Business Intelligence.
- Experience working with real-world datasets.
- Familiarity with Power BI or Tableau.
- Experience creating dashboards or analytical reports.
- Familiarity with SQL databases.
- Knowledge of statistical analysis.
- Experience with Excel-based data analysis.
- A portfolio, dashboard, GitHub repository, or project work demonstrating practical skills is an advantage.
Key Competencies
- Analytical Thinking
- Problem Solving
- Data Interpretation
- Critical Thinking
- Attention to Detail
- Communication Skills
- Business Understanding
- Team Collaboration
- Time Management
- Adaptability
- Continuous Learning
What You Will Gain
- Practical exposure to real-world Data Analytics projects.
- Hands-on experience working with real datasets.
- Experience with data cleaning, analysis, and visualization.
- Exposure to dashboards, reporting, and business intelligence.
- Understanding of how data supports business decision-making.
- Experience working with industry-relevant analytics tools.
- Opportunity to collaborate with experienced professionals.
- Development of analytical, technical, communication, and problem-solving skills.
- Opportunity to strengthen your professional portfolio through project-based work.
Who Should Apply?
This opportunity is ideal for students, recent graduates, career starters, and aspiring Data Analysts who are passionate about working with data and want to develop practical skills in Data Analytics, Business Intelligence, Data Visualization, and Reporting.
Candidates who are analytical, curious, detail-oriented, and eager to learn are encouraged to apply.
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