Vacancy description
35k
India, Chennai
Data Analyst - Python/ Power BI/ SQL in Chennai, India is listed on Jobeax. Browse 30,000+ vacancies available.
About Client: Our Client is a global IT services company headquartered in Southborough, Massachusetts, USA. Founded in 1996, with a revenue of $1.8B, with 35,000+ associates worldwide, specializes in digital engineering, and IT services company helping clients modernize their technology infrastructure, adopt cloud and AI solutions, and accelerate innovation. Our Client is known for combining deep industry expertise with agile development practices, enabling scalable and cost-effective digital transformation. The company operates in over 50 locations across more than 25 countries, has delivery centers in Asia, Europe, and North America and is backed by Baring Private Equity Asia.
Job Title: Data Analyst
Key Skills: Data analyst with Python + SQL + Pyspark , Power BI,
Experience: 4 - 7 Years
Education Qualification: Any Graduation
A bachelors degree in a quantitative field such as Engineering, Operations Research, Management Science, Economics, Statistics, Applied Mathematics, Computer Science, or Data Science is required; an advanced degree (Masters, MBA, or PhD) is preferred. Candidates should have at least 3 years of experience applying advanced statistical methods to large, complex datasets. Proficiency in PySpark, Python, R, and SQL is essential, along with familiarity in data visualization tools such as PowerBI, MicroStrategy, Tableau, QlikView, or D3.js. Experience working on platforms like Databricks and with IQVIA datasets is highly valued. Strong Excel and PowerPoint skills, along with a background in statistical modeling and machine learning, are a plus. Excellent communication and influencing abilities are essential for presenting complex analyses in a concise and impactful manner. Strategic thinking and the ability to build credibility with the Commercial Leadership Team are key. Familiarity with scientific areas especially oncology is a plus. Experience working with big data technologies, including Spark, is desirable.
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