WHAT YOU'LL DO
As a Data & Analytics team member, you will be reporting to the Digital Collaboration and Personal Productivity tribes. You will support data analytics and machine learning-driven innovations. The role will require working across multiple squads and engaging 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 aligns with the business objectives and supports key initiatives for the squads and tribe. The role will need to leverage the 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 a result-oriented approach to problem-solving
• Willingness to work in a highly dynamic environment with a high degree of ambiguity
• Strong communication skills and ability to work in a team
• Ability to pay attention to detail and apply analytical thinking
• Ability to code (Python is preferred) and identify multiple solutions to a problem
YOU BRING (EXPERIENCE & QUALIFICATIONS)
• Basic coding skills in Python with a willingness to use libraries such as Pandas, NumPy, Pydantic, Sklearn, and Matplotlib.
• Understanding of fundamental principles for developing data engineering pipelines, including ETL/ELT, data modeling, and SCD concepts.
• Ability to research and develop statistical learning models for data analysis.
• Familiarity with ETL tools like DBT is a plus.
• Basic understanding of cloud platforms like AWS or Azure is beneficial.
• Knowledge of basic code management principles and experience with tools like Git, Mercurial, or Bitbucket.
• Ability to communicate results and ideas to key decision makers.
YOU'LL WORK WITH
As a member of the Data Analytics team within the Digital Collaboration tribe, you will be based in BCG Gurugram office. You will collaborate closely with internal stakeholders worldwide to support data analytics, machine learning, and innovation initiatives.