Junior Data Analyst (Entry Level)

MAQ Software is hiring a Junior Data Analyst (Entry Level) for its Noida team. MAQ Software is a US-headquartered (Redmond, WA) software and data engineering services company accelerating business-intelligence, data analytics and AI initiatives on the Microsoft stack (Azure, Power BI, .NET, SQL Server). Its India delivery teams are based in Noida, Mumbai and Hyderabad. This is a full-time, entry-level role (0–2 years of experience; freshers welcome) ideal for recent graduates who want to build a strong career in IT Services / Data Analytics & BI. As a data analyst, you'll work on real, impactful projects alongside experienced professionals, with structured mentorship, hands-on learning and clear ownership from day one. What you'll do: • Collect, clean and analyse data from multiple sources • Build dashboards and reports in Power BI / Tableau • Write SQL queries to extract and transform data • Identify trends and present actionable insights to stakeholders • Run data quality and validation checks • Automate recurring reports and document analyses What we're looking for: • Strong SQL and Excel skills; Python (Pandas) a plus • Understanding of statistics and data visualization • Analytical mindset with attention to detail • Ability to translate data into business insights • Good communication and presentation skills • Eagerness to learn modern data tools Minimum qualification: B.E./B.Tech, BCA/MCA, or B.Sc/M.Sc (Statistics/Mathematics/Computer Science/Economics) or equivalent. Skills: SQL, Python, Advanced Excel, Power BI / Tableau, Statistics, Data Visualization, Pandas, Data Cleaning Number of openings: 5 How to apply: Click "Apply Now" to open MAQ Software's official careers page and submit your application for current Noida openings. MAQ Software never charges candidates any fee — apply only through the official link. Responsibilities: Collect, clean and analyse data from multiple sources; Build dashboards and reports in Power BI / Tableau; Write SQL queries to extract and transform data; Identify trends and present actionable insights to stakeholders; Run data quality and validation checks; Automate recurring reports and document analyses. Requirements: Strong SQL and Excel skills; Python (Pandas) a plus; Understanding of statistics and data visualization; Analytical mindset with attention to detail; Ability to translate data into business insights; Good communication and presentation skills; Eagerness to learn modern data tools.

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