Applying to Infosys in India? This ATS guide for Data Analyst reveals the exact keywords, skills, and formatting Infosys's resume screening checks for — with real tips to get past the filter. Use this guide to understand what Infosys's ATS looks for — and check your own resume with our free AI-powered analyzer.
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Resume Strategy
Lead with your analytics impact and the business outcomes your work enabled. Instead of 'Created Tableau dashboards,' write 'Built a sales performance analytics suite for a US retail client using Tableau, consolidating data from 5 source systems and providing real-time visibility to 200+ regional managers, resulting in 12% faster inventory restock decisions.' Organize your skills into Data Analysis (SQL, Python, Excel), Visualization (Tableau, Power BI), and Domain Knowledge categories. For each engagement, specify the data volume, number of data sources integrated, user count for your dashboards, and the business decisions your analysis influenced. Highlight any experience with data quality processes, automated data pipelines, or scheduled reporting. Certifications (Tableau Desktop Specialist, Microsoft PL-300, Google Data Analytics) should appear in a dedicated section. If you have experience with Python for analytics (pandas, matplotlib, scikit-learn), include it as a differentiator, as Infosys is pushing for advanced analytics capabilities. Mention your experience with Agile delivery if you have participated in sprint-based analytics projects, as this aligns with how Infosys structures many of its newer engagements.
Data Analysts at Infosys work within the company's analytics and data sciences practice, delivering insights, dashboards, and reporting solutions for enterprise clients. The analytics practice serves clients across financial services, healthcare, retail, and manufacturing, with work ranging from basic SQL reporting to advanced analytics using Python and R. Fresher data analysts start at 3.6-6.25 LPA through the Systems Engineer or DSE track, with lateral hires earning 6-12 LPA for 2-4 years of experience and senior analysts commanding 12-18 LPA. The tooling ecosystem includes Tableau, Power BI, SQL, Python (pandas, matplotlib), and Infosys's proprietary analytics platforms. Many data analyst roles at Infosys involve working on client data migration and modernization projects, building automated reporting pipelines, and creating interactive dashboards that replace manual Excel-based reporting processes. Infosys has been investing in its Infosys Topaz AI platform, and data analysts are increasingly expected to incorporate AI-driven analytics and natural language query capabilities into their deliverables. Onsite opportunities exist for analysts working on embedded client analytics teams, particularly in the US financial services and healthcare sectors.
These skills appear most in Infosys's Data Analyst job descriptions. Use the exact phrasing below — ATS matches keywords verbatim.
Data analyst hiring at Infosys prioritizes SQL proficiency, experience with at least one major visualization tool (Tableau or Power BI), and domain knowledge in the target client industry. For lateral hires, the recruiter screening focuses on matching your tool proficiency to the specific project requirement: a Tableau-heavy project will not consider a Power BI-only candidate unless they demonstrate transferable skills. Hiring managers look for candidates who can work independently with client stakeholders to understand reporting requirements, design data models, and deliver actionable insights, not just build charts. The ability to write complex SQL queries efficiently is considered a baseline requirement, not a differentiator. What sets candidates apart is demonstrating analytical thinking: how did you identify a non-obvious insight in client data that led to a business decision? Infosys values analysts who can articulate the business impact of their work rather than just the technical execution. Certifications in Tableau, Power BI (PL-300), or Google Data Analytics are valued. For senior analyst roles, experience with Python for advanced analytics and familiarity with statistical methods is expected.
These are the most frequent reasons Data Analyst resumes fail Infosys's ATS or get filtered during recruiter review.
Listing tools without showing the business impact of your analysis
No mention of stakeholder communication or translating data into decisions
Missing SQL complexity — 'used SQL' vs 'wrote complex joins across 5 tables'
Not featuring Java, Python, Spring Boot prominently — Infosys Data Analyst roles rely heavily on this stack
Infosys values continuous learning — mention online courses, hackathon wins, or contributions to internal knowledge bases. Ignoring this is a common reason Infosys resumes get filtered
Data analyst lateral interviews at Infosys follow a standard two-round plus HR structure. The first technical round is SQL-heavy: expect queries involving multiple joins, subqueries, window functions, and aggregation scenarios drawn from business contexts (calculate year-over-year revenue growth by region, identify the top 5 products by customer retention rate). You will likely be asked to solve at least two SQL problems on a shared screen or collaborative coding tool. The second round covers your visualization and analytics experience: walk through a dashboard you have built, explain your design choices, and discuss how you handled data quality issues. Expect questions about how you would approach a new analytics problem: 'A retail client wants to understand why sales dropped 15% in Q3. How would you investigate this?' For Tableau-specific roles, you may be asked about calculated fields, LOD expressions, dashboard performance optimization, and data blending. For Power BI roles, questions cover DAX formulas, data modeling, and report distribution using Power BI Service. The HR round covers compensation expectations and project preferences. Process takes 2-3 weeks.
Go beyond basic SELECT queries. Mention window functions, CTEs, subqueries, and query optimization. If you've worked with large datasets (millions of rows), explicitly state it. Mention the specific database (PostgreSQL, BigQuery, Redshift) as these matter to employers.
Yes, if the JD mentions it. Python (pandas, NumPy, matplotlib) is increasingly expected. R is valued in more statistical/academic roles. Even basic proficiency is worth noting if it's in the JD — just be honest about your level.
Infosys is a leading global IT services company with a tech stack centered on Java, Python, Spring Boot, React, Angular. Campus drives + Infosys Springboard assessments. Lateral via referrals and job portals. Strong emphasis on coding assessments. Their culture is innovation-focused with infosys lex learning platform. encourages internal mobility and upskilling. For Data Analyst roles, align your resume with these priorities and highlight relevant technologies from their stack.
Infosys's typical Data Analyst interview process: Online coding test (HackerRank) → technical interview → HR discussion. Senior roles add system design and managerial rounds. Prepare specifically for Infosys's format — their process differs meaningfully from other companies in the industry.
Infosys values continuous learning — mention online courses, hackathon wins, or contributions to internal knowledge bases. Highlight experience with agile delivery. Additionally, Infosys's engineering culture emphasizes innovation-focused with infosys lex learning platform — weave this into your experience descriptions. Research Infosys's recent engineering blog posts and tech talks to reference specific initiatives or technologies they're investing in.
Dive deeper into career resources for Data Analyst roles at Infosys.
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