Python Job: Data Analyst Intern

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Job Skills

Location

New Delhi - India

Job type

Full-Time

Python Job Details

WHAT YOU'LL DO


As a member of Data & Analytics team you will be reporting to the Digital Collaboration tribe. You will support data analytics; machine learning and innovation needs to the Digital Collaboration. Role will require to work across multiple squads and engage different stakeholders to provide insights for data driven decision making on wide ranging use cases. The ideal candidate will ensure that our Data & Analytics team align to the business objectives and supports key initiatives for the squads and tribe. Role will need to leverage latest technology and best practices to deliver results, agility, efficiency and quality for data and visualization requirements.


YOU'RE GOOD AT


  • Ability to learn new technology and willingness to work on exciting problems

  • Brings structured thinking and result oriented approach to problem solving

  • Willingness to work in highly dynamic environment with high degree of ambiguity

  • Ability to code in Python and identify multiple solutions to a problem.

  • Strong communication skills and ability to work in a team


YOU BRING (EXPERIENCE & QUALIFICATIONS)


  • Basics understanding of Python and willingness to code using ML libraries and frameworks like Scikit-learn, NumPy, Pandas etc.

  • Basic understanding of SQL and other relational databases

  • Basic understanding of machine learning, supervised and unsupervised: Regression, Time-series, Classification, Decision Trees, Random Forest

  • Basic understanding of Sentiment analysis and data / text mining using NLP and opensource libraries like scatter text, spaCy etc.

  • Good to have hands one experience with Tableau

  • Good to have hands on experience with Alteryx


YOU'LL WORK WITH


As a member of Data Analytics team, you will work in the Digital Collaboration tribe. Data team is based in Gurugram. You will work closely with our internal stakeholders globally to support data analytics, machine learning and innovation requirements.