Data Analytics Intern

We are hiring a skilled and analytical professional on behalf of one of our clients for a fully remote opportunity.

The ideal candidate will have strong analytical and problem-solving skills, hands-on experience with data analytics tools, and the ability to transform complex datasets into meaningful insights that support strategic business decisions.

Job Title: Data Analyst

Location: United Kingdom

Key Responsibilities

• Collect, extract, clean, validate, and analyse large datasets from multiple sources.
• Perform exploratory data analysis (EDA) to identify trends, patterns, anomalies, and business opportunities.
• Develop and maintain interactive dashboards, reports, and visualisations using Power BI, Tableau, or similar tools.
• Write and optimise SQL queries to retrieve, join, aggregate, and manipulate data from databases.
• Use advanced Excel functions, Pivot Tables, and Power Query for data analysis and reporting.
• Apply Python or R for data manipulation, statistical analysis, and workflow automation.
• Translate business requirements into actionable insights and data-driven recommendations.
• Monitor key performance indicators (KPIs) and prepare reports to measure business performance.
• Conduct root cause analysis to identify performance gaps and recommend corrective actions.
• Perform trend analysis, variance analysis, and benchmarking to support business planning.
• Automate recurring reports and analytical workflows to improve efficiency and accuracy.
• Collaborate with business stakeholders, finance teams, operations teams, and technical teams.
• Develop and maintain data models and relationships across multiple datasets.
• Conduct data reconciliation and investigate discrepancies between data sources.
• Support forecasting, budgeting, demand planning, and business performance analysis.
• Identify opportunities to improve reporting processes and data collection methods.
• Present analytical findings through reports, dashboards, and presentations.
• Work with data engineering teams to improve data pipelines and data availability.
• Establish data quality checks to ensure accuracy, completeness, and consistency.
• Perform ad hoc analysis to support business-critical decisions.
• Analyse customer behaviour, sales performance, and operational metrics to identify growth opportunities.
• Support data warehouse, data mart, and business intelligence initiatives.
• Maintain documentation for data sources, analytical methodologies, and reporting procedures.
• Ensure data confidentiality and compliance with applicable data protection requirements.
• Manage multiple analytical projects and reporting deadlines while maintaining high-quality standards.

Technical Skills

• Programming & Query
  
  Languages:
  
  SQL, Python, R.
• Data Manipulation & Analysis: Pandas, Num Py, Sci Py, statistical analysis, exploratory data analysis.
• Microsoft Excel: Advanced formulas, Pivot Tables, XLOOKUP, VLOOKUP, Power Query, data validation.
• Data Modelling: Relationships, star schema, snowflake schema, dimensional modelling.
• Statistics & Analytics: Hypothesis testing, regression analysis, correlation, forecasting, trend analysis.
• Data Governance: Data quality management, metadata, data lineage, access controls, data privacy.

Required Skills & Qualifications

• Strong analytical thinking, logical reasoning, and problem-solving abilities.
• Proficiency in SQL and experience querying and analysing relational databases.
• Hands-on experience with Excel and data visualisation tools such as Power BI or Tableau.
• Understanding of data cleaning, transformation, validation, and reporting processes.
• Knowledge of statistics, KPI measurement, and business performance analysis.
• Ability to interpret complex datasets and present findings clearly.
• Strong attention to detail and commitment to data accuracy.
• Excellent written and verbal communication skills.
• Ability to explain analytical findings to technical and non-technical stakeholders.
• Ability to work independently and collaboratively in a remote environment.
• A degree in Data Analytics, Data Science, Statistics, Mathematics, Computer Science, Business Analytics, or a related field is preferred.

Preferred Qualifications

• Experience using Python libraries such as Pandas, Num Py, Sci Py, and Matplotlib.
• Advanced Power BI skills, including DAX, Power Query, data modelling, and dashboard optimisation.
• Experience creating interactive Tableau dashboards and visualisations.
• Familiarity with ETL/ELT processes and data integration from multiple systems.
• Knowledge of data warehousing, dimensional modelling, and database…