What does a data analyst do?
A data analyst plays a very important role in any organisation by turning raw data into actionable insights. Their primary responsibilities include:
- Collecting data: Data analysts gather information from various sources such as databases, spreadsheets and APIs.
- Cleaning and preparing data: They ensure that the data is accurate and ready for analysis by handling missing values and correcting errors.
- Analysing data: Using statistical tools and techniques, they explore the data to identify trends, correlations and patterns.
- Creating visualisations: Data analysts create visual representations of their findings through charts, graphs and dashboards to make complex information more accessible.
- Reporting findings: They prepare reports and presentations to communicate their insights to stakeholders, helping guide strategic decisions.
Additionally, data analysts often collaborate with other departments to understand their specific data needs and provide personalised insights that can enhance operational efficiency.
How to become a data analyst
The process of becoming a data analyst involves a lot of learning, researching and building key technical skills. Some of the basic steps involve:
1. Educational background: An HND in Digital Technologies provides a solid foundation for entering this field. You can also take a full-time degree in programming, technology etc.
2. Develop relevant skills: There are various technical skills like python, SQL etc, which you must possess to excel in this field. Some of the common skills are:
| Skills |
Description |
| Programming languages (R, Python, JavaScript) |
Essential for data editing, analysis and automation of tasks. |
| SQL (Structured Query Language) |
Critical for querying and managing relational databases. |
| Data visualisation tools (Tableau, QlikView, Power BI) |
Used to create visual representations of data to enhance understanding and decision-making. |
| Data cleaning and preparation |
Involves handling missing data, removing outliers and ensuring datasets are ready for analysis. |
| Microsoft Excel |
Widely used for data analysis, visualisation and reporting; includes advanced functions and macros. |
| Relational database management |
Skills in managing and querying databases to effectively handle large datasets. |
| Machine learning |
Understanding algorithms to apply predictive modelling and enhance data analysis capabilities. |
3. Gain practical experience: As it is said that “practice makes perfect,” the more you do data analysis the more you will learn. It helps you to improve your skills if you are:
- Looking for internships or entry-level positions that allow you to work with real datasets.
- Engaging in projects that require you to analyse data and present your findings.
4. Obtain certifications: Consider earning certifications in data analytics (e.g., Google Data Analytics Certificate) to enhance your qualifications.
5. Build a Portfolio: Showcase your skills by creating a portfolio of projects that demonstrate your ability to analyse and visualise data effectively.
6. Network with professionals: Join online communities or local meetups related to data analytics to connect with industry professionals who can provide guidance and job leads.
7. Apply for Jobs: Start applying for entry-level positions like Junior Data Analyst or Business Intelligence Analyst where you can utilise your skills.
Getting a job in data analysis typically requires having a specific set of technical skills. Whether you’re learning through a degree programme, professional certificate, or on your own – these are essential skills you’ll likely need to get hired.
What else can you do after completing HND in Digital Technologies?
Completing an HND in Digital Technologies opens up various career paths beyond becoming a data analyst:
- Software developer: If you have an interest in programming, transitioning into a software developer role could be a great option. Software developers design and create applications or systems that meet user needs.
- Cyber security specialist: With additional training or certifications, you could specialise in cyber security, protecting organisations from digital threats.
- Project manager in tech: With experience, you could move into project management roles overseeing technology projects from conception to completion.
- Software tester: Software testers are responsible for evaluating software applications to ensure they meet specified requirements and are free of defects. They design test cases, execute them and document results.
- Risk analyst: Risk analysts assess potential risks that could impact an organisation’s operations or profitability. They analyse data to identify trends, evaluate risk management strategies and provide recommendations to mitigate risks.
- Lead developer: Lead developer looks after software development projects, ensuring that coding standards are met while mentoring junior developers. They bridge the gap between technical teams and management.
- Network engineer: Network engineers design, implement and maintain an organisation’s networking infrastructure. They ensure network security and troubleshoot issues when needed to optimise performance. Proficiency in networking protocols, hardware configuration and cybersecurity practices are crucial for success in this position
What skills you will develop
As you pursue a career as a data analyst or software developer after your HND in Digital Technologies, you will develop several key skills:
| Skills |
What is it |
| Analytical skills |
The ability to interpret complex datasets and extract meaningful insights is fundamental for both roles. |
| Technical Proficiency |
Gain expertise in programming languages (like Python or SQL), statistical analysis tools (like Excel) and database management systems (like MySQL). |
| Problem-solving skills |
Both roles require strong problem-solving abilities to identify issues within datasets or software applications and develop effective solutions. |
| Communication skills |
You will learn how to present your findings clearly through reports and presentations so that stakeholders can understand the implications of your analysis. |
| Collaboration skills |
Both roles often involve working with cross-functional teams; you'll learn how to collaborate effectively with others on projects. |
Working with large datasets requires precision; you'll develop an eye for detail as you clean and analyse data. Transitioning from an HND in Digital Technologies into a career as a data analyst offers exciting opportunities in today’s technology-driven world. Embrace continuous learning through certifications and practical experiences while networking within the industry to maximise your career potential.
HND in Digital Technologies (Cyber Security) by GBS Dubai
The HND in Digital Technologies (Cyber Security) offered by GBS Dubai provides students with a comprehensive understanding of digital technologies including data analyst and cyber security principles. This programme equips students with both theoretical knowledge and practical skills essential for careers in technology fields.
Through practical learning experiences and industry-relevant coursework, students are prepared to tackle real-world challenges in technology sectors. The programme emphasises critical thinking, problem-solving abilities and technical skills that are highly sought after by employers today.
Your journey towards a successful career in Dubai starts here!
