Are you a fresher looking to start your career in Data Analytics, reporting, and AI-powered automation? IG International Pvt. Ltd. is hiring a Data Analyst for its office in Moti Nagar, West Delhi. Candidates with 0โ1 year of experience who have analytical skills and an interest in modern AI tools are encouraged to apply. This opportunity is particularly suitable for candidates who enjoy working with spreadsheets, dashboards, data insights, and automation tools.
The company is looking for immediate joiners, so interested candidates should prepare their resumes and share their CVs with the recruitment team using the email address provided in the hiring announcement.
๐ Job Overview
- ๐ข Company: IG International Pvt. Ltd.
- ๐ผ Job Title: Data Analyst
- ๐ Location: Moti Nagar, West Delhi
- ๐งโ๐ป Experience: 0โ1 year
- ๐ Eligibility: Freshers and candidates with up to one year of experience
- โณ Notice Period: Immediate joiners only
- ๐ข Work Mode: Not explicitly specified; confirm with the recruiter
- ๐ Key Skills: Google Looker Studio, Google Sheets, MS Excel, Claude AI tools, basic API integration, data analysis, and reporting
- ๐ Employment Type: Not specified
- ๐ฐ Salary: Not disclosed
- ๐ฉ Application Email: recruitment@iginternational.net
๐ข Company Introduction
IG International Pvt. Ltd. is the organization named in this recruitment announcement. The supplied job description does not provide detailed information about its business divisions, products, or services. Candidates should review the original hiring announcement and verify the company’s current business activities before attending an interview.
For applicants, the main attraction of this opening is its combination of data analysis, dashboard creation, spreadsheet management, and AI-assisted workflows. These skills are useful across many industries where businesses rely on accurate reporting and data-driven decisions.
๐ ๏ธ Key Responsibilities
The announcement does not provide a formal responsibilities list. Based on the required skills, the following are indicative duties to clarify during the interview, not confirmed company responsibilities:
- ๐ Data Analysis: Organize datasets, identify patterns, interpret trends, and prepare meaningful insights.
- ๐ Dashboard Development: Use Google Looker Studio to create clear visual reports and performance dashboards.
- ๐ Spreadsheet Management: Work with Google Sheets and MS Excel to clean, organize, validate, and analyze information.
- ๐ค AI-Assisted Workflows: Explore Claude for suitable tasks such as summarizing information, assisting with formulas, and supporting analysis.
- ๐ Basic API Integration: Understand how APIs exchange data between applications and assist with simple integrations.
- ๐ Reporting: Present findings clearly and help maintain accurate, easy-to-understand reports.
๐ Why Is This Role a Good Opportunity?
- ๐ฑ Fresher-Friendly Entry: Candidates with limited professional experience can apply, making this a potential starting point for a data-focused career.
- ๐ Practical Analytics Skills: The listed tools provide a foundation in spreadsheet analysis, visualization, and reporting.
- ๐ค Exposure to AI Tools: Interest in Claude and data automation can help candidates explore emerging productivity workflows.
- ๐ Career Development: With further learning and practical experience, candidates may progress toward roles such as Data Analyst, Reporting Analyst, or Business Intelligence Analyst.
Actual responsibilities, training, and career progression will depend on the company’s requirements and the position offered.
๐ง Skills Required
Technical skills
- ๐ Google Looker Studio: Understand data sources, charts, filters, calculated fields, and dashboard design.
- ๐ Google Sheets and MS Excel: Learn sorting, filtering, lookup functions, conditional formatting, pivot tables, and data cleaning.
- ๐ค Claude AI: Know how to write clear prompts, validate generated outputs, and use AI responsibly.
- ๐ Basic API Integration: Understand HTTP requests, JSON responses, API endpoints, and authentication basics.
- ๐ Data Analysis and Reporting: Develop accuracy, logical thinking, trend identification, and data interpretation.
Professional skills
- ๐งฉ Problem-solving: Investigate inconsistencies and identify meaningful patterns.
- ๐ฃ๏ธ Communication: Explain findings using simple language and clear visualizations.
- ๐ฏ Attention to detail: Check calculations, data quality, and report accuracy.
The announcement does not distinguish mandatory skills from preferred skills, so candidates should confirm expectations with the recruiter.
๐ค Expected Interview Rounds
The company has not confirmed its interview process. The following stages are indicative preparation suggestions, not verified rounds:
- ๐ HR Screening: Prepare to discuss your education, availability, location preference, and interest in data analytics.
- ๐ง Technical Interview: Revise Excel formulas, Google Sheets, dashboard concepts, basic APIs, JSON, and AI tool usage.
- ๐ป Practical Assessment: Be ready for a possible spreadsheet-cleaning task, a simple dashboard exercise, or a short data interpretation assignment.
- ๐ฃ๏ธ Final Discussion: Explain your approach, project contributions, problem-solving process, and immediate joining availability.
๐ฐ Expected Salary Range
The official salary has not been disclosed. Compensation may depend on the candidate’s skills, qualifications, and the company’s budget. A reliable, company-specific salary estimate cannot be established from the supplied announcement alone.
Candidates should confirm the offered salary, employment terms, benefits, and any probation requirements directly with the recruiter before accepting an offer.
๐ Preparation Tips for This Specific Job
- ๐ Practice Excel: Work with a sample sales or employee dataset. Use IF, SUMIF, COUNTIF, lookup functions, pivot tables, and duplicate removal.
- ๐ Build a Dashboard: Create a simple Looker Studio dashboard with summary metrics, date filters, charts, and category-wise comparisons.
- ๐งน Improve Data Quality: Practice identifying missing values, inconsistent formats, duplicate records, and incorrect entries.
- ๐ Understand APIs: Learn how a basic GET request works, how JSON responses are structured, and how to identify common HTTP status codes.
- ๐ค Experiment with Claude: Use sample datasets to request formula suggestions or summaries, then independently validate the results.
- ๐ Prepare a Mini-Project: Demonstrate a complete workflow from raw spreadsheet data to a dashboard and a short written report explaining key findings.
๐ Resume Tips
- ๐ฏ Highlight Relevant Keywords: Include Google Looker Studio, Google Sheets, MS Excel, Claude, API integration, data analysis, and reporting where genuinely applicable.
- ๐ Show Practical Projects: Describe dashboards, spreadsheet automation, data-cleaning exercises, or academic analytics projects.
- ๐ Explain Your Contribution: State what data you used, what tools you applied, what problem you addressed, and what measurable result you achieved, if known.
- ๐งพ Keep Formatting ATS-Friendly: Use clear headings, simple formatting, accurate dates, and concise bullet points.
- ๐ฑ Be Honest About Experience: Separate academic projects and self-learning from professional employment. Do not claim advanced API or AI expertise without practical evidence.
๐ฉ How to Apply
Interested candidates can share their CV using the recruitment email provided in the announcement.
- ๐ง Email: recruitment@iginternational.net
- ๐ Suggested Subject: Application for Data Analyst โ Fresher / 0โ1 Year
- ๐ Attachment: A current, relevant PDF resume
- โณ Availability: Mention your immediate joining status if applicable.
No application URL or closing date was provided. Candidates should verify the original hiring announcement and confirm the recruitment details before sharing personal information.
๐ Final Thoughts
The Data Analyst opportunity at IG International Pvt. Ltd. may suit freshers and early-career candidates interested in spreadsheets, dashboards, data reporting, and AI-assisted workflows. Strengthen your fundamentals, prepare a small analytics project, and tailor your resume to the listed skills. If you meet the experience and immediate-joining requirements, send your CV to the specified recruitment email and prepare to explain your practical knowledge confidently.
๐ Build your analytics foundation, demonstrate your skills, and take the next step toward a data-driven career!
