Entry Level Data Analyst

IDfy is hiring a Entry Level Data Analyst in Nagpur. This is a full-time, permanent role for candidates who want to work on real data analytics problems — owning datasets, numbers and reporting that the business actually makes decisions on, not practice exercises. About the role This Entry Level Data Analyst role is hands-on and delivery-focused. Expect to spend your time an entry-level analytics seat — SQL, Excel and Power BI applied to real reporting from day one, working primarily in SQL, Excel and Power BI. You will own your outputs end to end — from the data pull and the sanity checks to the final recommendation. Key responsibilities • Prepare and clean datasets for the analytics team under a senior analyst • Build simple dashboards and recurring reports, reviewed before release • Run first-pass analyses and summarise what the data shows • Cross-check published numbers against source systems • Document your queries and steps so the work is repeatable • Validate and reconcile numbers before they are published, and document known data caveats • Automate recurring reporting so the team spends its time on analysis rather than refreshes • Present findings to non-technical stakeholders in clear, plain language Required skills and tools • SQL • Advanced Excel • Power BI • Tableau • Python (Pandas) • Data Cleaning • Data Visualization • Descriptive Statistics • Dashboarding • Business Acumen • Stakeholder Communication • Documentation Eligibility criteria • Education: any graduate — B.E./B.Tech, B.Sc, BCA/MCA, B.Com, BBA or MBA. Candidates from any recognised university are welcome. • Graduation year: 2023–2026 batches. Freshers and final-year students awaiting results may apply. • Minimum 60% / 6.0 CGPA in the highest qualification (indicative — strong practical skills can offset this). • Experience: 0–1 years in analytics, reporting, MIS or a closely related function. • Technical skills: SQL, Advanced Excel, Power BI, Tableau, Python (Pandas), Data Cleaning. • Soft skills: structured thinking, attention to detail, stakeholder communication, ownership and the confidence to flag a number that looks wrong. Salary and compensation • Annual CTC: ₹2,40,000 – ₹4,80,000 per year (2.4 LPA – 4.8 LPA), an indicative market range for this role in Nagpur. • Monthly equivalent: approximately ₹30,000 per month at the mid-point of the range. • Currency: INR (₹). • Performance bonus / variable pay as per IDfy's policy, reviewed annually. • The exact offer is confirmed by IDfy based on your interview performance and current compensation. Perks and benefits • Clear appraisal cycle and internal mobility • Employee wellness programmes • Team offsites and networking opportunities • Competitive salary as per market benchmarks • Annual performance bonus / variable pay • Health insurance for you and your dependants • Provident Fund and statutory benefits • Structured onboarding and mentorship Location, work mode and employment type • Location: Nagpur, Maharashtra • Work mode: Work From Office • Employment type: Full-time, permanent • Working hours: 9:30 AM – 6:30 PM, Monday to Friday • Number of openings: 1 • Joining: immediate to 60 days, as per your notice period Selection process • Round 1 — Resume screening and profile shortlisting by the talent acquisition team • Round 2 — Technical interview 2 — BI tooling, dashboard design and metric definition • Round 3 — HR discussion — compensation, notice period, joining date and offer roll-out Who should apply Candidates from any graduate — B.E./B.Tech, B.Sc, BCA/MCA, B.Com, BBA or MBA with up to 1 years of relevant experience who are based in Nagpur or willing to relocate. You should be comfortable with SQL, Advanced Excel, Power BI and able to explain your analysis to someone who has never seen the data. Portfolio projects, Kaggle work, a GitHub repo or published dashboards strengthen an application, especially for early-career candidates. Why join IDfy Working at IDfy means modern tooling, clean processes and colleagues who will review your logic properly. Analysts here grow into senior, lead and specialist tracks. There is a clear progression path from Analyst to Senior Analyst, and onward into analytics leadership or a specialist data-science / data-engineering track. You will leave every year of this role with a first-year track record of accurate, on-time reporting. How to apply Click Apply Now. If you are not signed in you will be asked to log in or create a free MyInternships.in candidate account first, after which you will be taken directly to IDfy's official careers page to submit your application. Applications close on 18 October 2026 and are reviewed on a rolling basis, so apply early. Additional information • Documents required at the interview stage: updated resume, degree certificates or provisional certificate, and government photo ID. • Experienced candidates should also carry recent payslips and a relieving or experience letter. • There is no service bond for this position, and no equipment deposit is taken. • A laptop and licensed analytics tooling are provided by IDfy for office and hybrid roles. • IDfy and MyInternships.in never charge a fee at any stage of the application, selection or onboarding process. If anyone asks you for money in the name of this job, do not pay — report it. Responsibilities: Prepare and clean datasets for the analytics team under a senior analyst; Build simple dashboards and recurring reports, reviewed before release; Run first-pass analyses and summarise what the data shows; Cross-check published numbers against source systems; Document your queries and steps so the work is repeatable; Validate and reconcile numbers before publishing, and document data caveats; Automate recurring reporting to free up time for real analysis; Present findings clearly to non-technical stakeholders. Requirements: any graduate — B.E./B.Tech, B.Sc, BCA/MCA, B.Com, BBA or MBA from a recognised university; 0–1 years of experience in