Junior Data Analyst

This role offers the opportunity to work with one of the world's leading technology market intelligence firms where data directly influences business decisions. You'll be responsible for transforming complex market information into meaningful insights that help organizations understand industry trends, vendor performance, and future technology forecasts. The position combines analytical thinking, financial modelling, research, and modern AI-assisted productivity tools to create high-quality market intelligence used by technology leaders worldwide.

📊 What You'll Be Working On

Your daily work will involve collecting information from multiple trusted sources, validating datasets, and ensuring the highest level of data quality before analysis begins. You'll work with vendor financial reports, public filings, analyst estimates, surveys, press releases, and primary research data to create consistent market datasets.

The role also requires building structured data models that represent vendor revenues, market sizing, forecast information, acquisitions, parent companies, subsidiaries, and product relationships. Attention to detail is essential because the quality of published research depends heavily on accurate data preparation.

Hybrid Work Model

📈 Key Responsibilities

You'll be expected to:

• Collect, clean, validate, and organize large datasets from multiple sources.

• Perform quantitative analysis to estimate market size and forecast future growth.

• Develop financial and market models using structured analytical techniques.

• Identify business trends, anomalies, and market opportunities through data exploration.

• Build fact and dimension tables for forecasting and revenue analysis.

• Analyse vendor performance using publicly available financial information.

• Support research analysts with ad-hoc analytical requests.

• Present findings through reports that are easy for business stakeholders to understand.

• Ensure consistency across multiple research publications.

💻 Tools & Technologies You'll Use

Candidates joining IDC will gain practical exposure to enterprise analytical workflows using modern business tools.

Advanced Excel
Pivot Tables
XLOOKUP
VLOOKUP
Data Validation
Statistical Analysis
Financial Modelling
Market Research
ChatGPT
Claude
Microsoft Copilot

Knowledge of Excel macros is considered an added advantage, while strong Excel proficiency is mandatory for this role.

🧠 Skills That Recruiters Will Evaluate

IDC is looking beyond technical knowledge. Recruiters will also evaluate how effectively candidates interpret business data and communicate insights.

Important qualities include:

• Strong analytical and logical reasoning

• Critical thinking

• Pattern recognition

• Excellent numerical ability

• Financial analysis skills

• Business understanding

• Data accuracy and validation

• Problem-solving capability

• Written and verbal English communication

• Stakeholder presentation skills

• Ability to manage multiple research assignments simultaneously

Data accuracy is one of the most valuable skills in market research because every business recommendation depends on trustworthy analysis.

🌍 Modern AI Research Environment

One of the unique aspects of this opportunity is the company's adoption of Large Language Models (LLMs) to improve productivity. Analysts are encouraged to use tools like ChatGPT, Claude, and Microsoft Copilot for research assistance, document summarization, information extraction, and content synthesis.

However, every AI-generated output must be verified through proper data validation and fact-checking before becoming part of research deliverables. Candidates familiar with prompt engineering and responsible AI usage will have an advantage.

🚀 Learning & Career Growth

Working at IDC provides exposure to the technology industry from a global perspective. Analysts collaborate with experienced researchers who monitor software markets, technology vendors, and industry trends across multiple regions.

Employees develop expertise in:

• Market intelligence

• Technology research

• Business forecasting

• Data modelling

• Financial analysis

• Enterprise reporting

• Vendor benchmarking

• Technology industry analysis

These skills are highly valuable for future careers in Data Analytics, Business Intelligence, Market Research, Product Analytics, and Consulting.

🎯 What Can Strengthen Your Profile

Candidates can improve their chances by demonstrating practical experience with:

• Advanced Microsoft Excel

• SQL for data analysis

• Power BI or Tableau

• Statistics fundamentals

• Financial statement analysis

• Market research projects

• Forecasting techniques

• Data visualization

• Business communication

• AI-assisted research workflows

Even personal projects involving business dashboards, vendor analysis, sales forecasting, or market trend analysis can significantly strengthen a resume.

🔑 Keywords for Resume

Advanced Excel • Data Analysis • Market Research • Financial Modelling • Quantitative Analysis • Forecasting • Data Validation • Business Intelligence • SQL • Pivot Tables • XLOOKUP • VLOOKUP • Statistical Analysis • Data Cleaning • Vendor Analysis • Stakeholder Management • ChatGPT • Claude AI • Microsoft Copilot • Prompt Engineering • Technology Research • Critical Thinking • Data Modelling

💡 Final Thoughts

This role is ideal for professionals who enjoy working with data beyond dashboards and reports. It offers the opportunity to contribute to globally recognized technology research while developing expertise in market intelligence, financial modelling, and enterprise analytics. With strong mentoring, exposure to modern AI tools, and collaboration with experienced research analysts, the position provides an excellent foundation for building a long-term career in data analytics and business research.