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Dell Software Principal Engineer (Data Analyst) India-R&D in Bengaluru, India

Dell R&D- Software Principal Engineer for Data Analyst

Job Description

Dell creates Technology solutions for a changing world. Our Client Product Group (CPG) Team, translates Commercial/Consumer customers’ business requirements into Industry Leading Client Solutions. It takes deep technical knowledge to create architectural designs that exceed service requirements. We’re skilled in analyzing the customer’s business goals, objectives, needs and general business environment to create technical system solutions. Our expertise includes integrating hardware, processes, methodologies and software into the customer environment.

As a Data Analyst for Dell CPG SW team the candidate will work with multiple technical and business stakeholders to analyze data collected from field. Make correlations with product service data to figure out product usage and quality trends. Based on data you will help identify areas of future development and feature modifications

You will:

  • Experience in assembling large datasets from multiple data sources/databases for analysis, translating business questions into data requests, analysis and providing answers using insights from the data. Experience with on-prim and in-the-cloud databases

  • Strong communication skills and the ability to explain difficult analytical methods to technical and business stakeholders.

  • Understanding and experience with Machine Learning using TensorFlow, Pytorch, or other frameworks

  • Expertise with BI tools like Power-BI and Tableau

  • Familiarity with general purpose programming language like C#, C++, etc.

  • Experience working with Azure Databricks

Skills Required

  • SQL and NoSQL Databases, expert in SQL queries. Data Analysis stack including Python (Numpy, Pandas, Scikit-Learn) / R / Scala.

  • Data Visualization

  • Building data pipelines by combining multiple data sources


Bachelors or Master's degree or higher in Computer Science, Statistics, Math, Data Science, or other Engineering & Scientific fields with a significant quantitative component with 5-7 years of relevant experience in data science and engineering

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