
Junior Data Analyst Job Openings in Bangalore 2026!!!
IDC announced job vacancy for the post of Junior Data Analyst.The place of posting will be at Bangalore.Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows
Company Overview
| Name of the Company | IDC |
| Required Qualifications | Graduate |
| Skills | Financial Analysis and Market Modelling |
| Category | Data Analysis |
| Work Type | Onsite |
Currently they are looking for a Junior Data Analyst to join their Software research team. If you are passionate about technology, eager to explore market trends, and ready to develop your analytical and technical skills, they offer the perfect platform for your professional growth. Their team is committed to nurturing talent, providing extensive training, and supporting long-term career development. You’ll work closely with research analysts and the broader forecasting team, owning the analysis and reporting that underpins IDC’s published research. This is a strong opportunity for someone who enjoys working with data end-to-end — from cleaning and validating it, to modelling trends, to presenting findings in a way that drives decisions.
Job Details
Θ Positions: Junior Data Analyst
Θ Job Location: Bangalore
Θ Salary: As per company standards
Θ Job Type: Full Time
Θ Requisition ID: 2026-6952
Roles and Responsibilities:
- Collect, clean, and validate data from multiple sources, ensuring accuracy and consistency across datasets.
- Perform quantitative analysis on market size, growth rates, and vendor performance using appropriate analytical tools and techniques. Create models that reconcile data from disparate sources, including SEC filings, vendor surveys, press releases, primary research, and analyst estimates.
- Identify trends, patterns, anomalies, and key business drivers within large and varied data sets. Design fact and dimension tables for vendor revenue, market sizing, and forecast data
- Model relationships between vendors, products, M&A activity, and parent/subsidiary corporate structures
- Translate raw data into actionable insight, presenting analysis in a way that’s easy for stakeholders to act on.
- Partner with research and forecasting teams to ensure data consistency across publications and deliverables.
- Support ad-hoc data requests and analysis, adapting quickly to shifting priorities.
Required Skills & Qualifications:
- Bachelor’s degree in a quantitative field such as Statistics, Economics, Computer Science, or Engineering (preferred) with a strong understanding of economic principles and their application to market analysis.
- 1.5 years of experience in data analysis, business intelligence, or market research, ideally within the technology industry.
- Proven experience in financial analysis and market modelling.
- Strong analytical, critical thinking and pattern recognition skills with an understanding of the broader business implications of data findings.
- Skilled in analysing complex datasets and developing predictive models, with familiarity in statistical tools and methodologies.
- Strong English written and verbal communication skills to effectively present research findings.
- Efficient in managing multiple research projects and meeting deadlines. Excellent in problem-solving around data integrity, redundancy, and scalability.
- Advanced Excel skills, including pivot tables, formulas – ex. VLOOKUP/XLOOKUP, data validation, COUNT and macros knowledge is a plus. Experience using Advanced Excel is a must.
- Leverage Large Language Models (LLMs) such as Claude, ChatGPT, Copilot, and similar AI tools to accelerate research, data extraction, content summarization, information synthesis, and productivity. workflows using strong prompt engineering, rigorous data validation to ensure accuracy and reliability.
- Excellent attention to detail and a commitment to data accuracy.
- Stakeholder communication and presentation skills. Adaptability to shifting priorities and ad-hoc requests.
- Ability to work effectively in a hybrid work environment.
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