Data Analyst Career Path
Listed on 2026-06-07
-
IT/Tech
Data Analyst, Data Science Manager
Follow a practical Data Analyst career path with instructor‑led training in Excel, SQL, Power BI, Python, Pandas and data visualisation skills.
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
.
Complete these milestone training steps sequentially to achieve full proficiency:
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 Num Py for working with structured datasets
- Matplotlib for creating charts and visualisations
- Data cleaning, data interpretation, and business reporting
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
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.
At London Academy of IT
, we provide instructor‑led online and in‑person IT training in Data Analytics, SQL, Python, Power BI, and more. Our cutting‑edge courses are designed to boost performance and enhance employability, providing the competitive edge employers look for.
London Academy of IT, 64 Broadway, Stratford, London E15 1NT
, United Kingdom
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