Data Analyst - Hire or get hired
Your complete guide to the Data Analyst Role: Duties, salary & hiring tips
Purpose of the Data Analyst
The Data Analyst transforms raw data into actionable insights through reporting, visualisation, and analysis to support operational and strategic initiatives.
Data Analyst's duties and responsibilities
• Data Gathering:
Collect and validate data from multiple sources.
• Reporting:
Design and deliver dashboards, KPIs, and performance reports.
• Analysis:
Identify trends, anomalies, and opportunities in datasets.
• Collaboration:
Support departments with data requests and insights.
• Optimisation:
Recommend improvements based on data findings.
Collect and validate data from multiple sources.
• Reporting:
Design and deliver dashboards, KPIs, and performance reports.
• Analysis:
Identify trends, anomalies, and opportunities in datasets.
• Collaboration:
Support departments with data requests and insights.
• Optimisation:
Recommend improvements based on data findings.
Requirements and qualifications for a Data Analyst
• 2–4 years’ experience in data analysis
• Strong Excel, SQL, and data visualisation skills
• Experience with Power BI, Tableau, or similar tools
• Attention to detail and critical thinking
• Degree in analytics, IT, or business
• Strong Excel, SQL, and data visualisation skills
• Experience with Power BI, Tableau, or similar tools
• Attention to detail and critical thinking
• Degree in analytics, IT, or business
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AI continues to reshape workforce priorities, with 47% of businesses seeking candidates with at least a base-level understanding of AI. Key skills growing in importance include automation and IT process orchestration (63%), continuous learning in AI (45%), and cybersecurity using AI-driven threat detection (37%). Cybersecurity, upskilling, and AI and machine learning are now the top three business priorities, each cited by over 50% of companies.
Contractor usage has remained relatively stable, with 81% of companies expecting no change in 2025, and nearly half keeping contractor levels under 10%. The shift towards AI, automation, and cybersecurity signals an evolving skills landscape, requiring businesses to balance permanent hires with specialised expertise to stay competitive.
