Data Analyst

Information Technology

Data & Artificial Intelligence

Entry Level

As a Data Analyst, you turn raw data into clear, actionable insights that help organisations make smarter decisions. You'll collect, clean, and interpret datasets to uncover trends, answer business questions, and support strategic planning. Working across tools like SQL, Python, Power BI, and Tableau, you'll build dashboards, run statistical analyses, and present findings to stakeholders in a way that drives real outcomes. Whether you're identifying customer patterns, forecasting sales, or detecting anomalies, your work sits at the intersection of technology and business strategy.

What you’ll do day to day

Query and extract data from relational databasesusing SQL to support reporting and analysis
Clean, transform, and prepare datasets to ensureaccuracy and consistency before analysis
Build interactive dashboards and visual reportsin Power BI or Tableau to communicate findings
Apply statistical techniques such as hypothesistesting, regression, and clustering to identify patterns
Collaborate with stakeholders to define keymetrics and translate business questions into data requirements
Present insights and recommendations to teamleads and decision-makers using clear visualisations

Skills and tools to learn

Core skills: analytical thinking, data-driven decision making, statistical analysis, critical thinking, communication, attention to detail

Software/Platforms: SQL (MySQL), Python, R, Microsoft Excel, Power BI, Tableau, Jupyter, VS Code, Microsoft Azure

Methods/Knowledge: descriptive and inferential statistics, hypothesis testing, predictive analytics, data cleaning and preparation, data visualisation, dashboard design, DAX (Data Analysis Expressions)