Career Overview
A Data Analyst collects, cleans, analyses, and interprets data to help organisations make better decisions. This career path is ideal for learners who want to build practical skills in spreadsheets, databases, dashboards, programming, and data analysis.
The London Academy of IT Data Analyst Career Path is designed to take learners from core business data skills to practical analytical techniques using tools such as Microsoft Excel, SQL, Microsoft Power BI, Python, Pandas, and Matplotlib.
By following this pathway, you can build a strong foundation for roles such as Junior Data Analyst, Data Analyst, Business Analyst, Reporting Analyst, and BI Analyst.
Recommended Learning Pathway
Complete these milestone training steps sequentially to achieve full proficiency:
Skills & Learning Requirements
This career path is suitable for beginners and career changers. No advanced technical background is required to start, but learners should be comfortable using a computer and working with basic numbers, tables, and reports.
To become a confident Data Analyst, you should develop skills in:
- Microsoft Excel for organising, calculating, and analysing data
- SQL for querying and managing data from databases
- Microsoft Power BI for dashboards, reports, and visual analytics
- Python programming for data analysis and automation
- Pandas and NumPy for working with structured datasets
- Matplotlib for creating charts and visualisations
- Data cleaning, data interpretation, and business reporting
Day-to-Day Responsibilities
Data Analysts work with data to identify patterns, produce reports, and support better business decisions. Their responsibilities may vary depending on the organisation and industry.
- Collecting, cleaning, and preparing data for analysis
- Writing SQL queries to extract information from databases
- Creating reports, dashboards, and visual summaries
- Using Excel, Power BI, and Python to analyse data
- Identifying trends, patterns, and performance insights
- Presenting findings to managers, teams, or stakeholders
- Supporting business decisions with accurate data analysis
Market Opportunities & Career Landscape
Data analysis skills are valuable across many industries, including finance, healthcare, retail, education, technology, government, consulting, and business services.
Organisations increasingly rely on data to improve performance, understand customers, optimise operations, and make informed decisions. This creates strong opportunities for professionals who can work confidently with data tools and communicate insights clearly.
This pathway can support learners who want to move into entry-level data roles, improve their current workplace reporting skills, or progress towards more advanced areas such as business intelligence, data science, and machine learning.