Boston Consulting Group Hiring for Chapter Lead at New Delhi, DL, India Full Time

Description

WHAT YOU’LL DO

To realize our digital transformation, we need to transform our products, experiences, processes, technology and how we operate. Delivering unrivalled experience of exceptional service, value and flexibility is part of our DNA. We are looking for people who are passionate about Agile ways of working and want to spread this approach within our teams and business processes.

As a member of Data & Analytics team you will be working with our Knowledge & Design tribe. You will support data analytics, visualization, and innovation needs. This 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. This 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

• Highly skilled in all aspects of data analytics including mining, scrubbing, and visualization
• Are intellectually curious and enjoy learning new skills and capabilities (e.g., Agile principles and technology platforms)
• Knowledge of Agile Methodologies and ways of working (Scrum, XP, Devops), understanding and applying “servant leader” mindset and with the ability to engage in Agile ceremonies to provide teams necessary direction and guidance
• Excellent visualization skills, storytelling, and familiarity with best practices to convey insights in an intuitive and visually compelling way
• Ability to define relevant metrics and influence key stakeholders with actionable insights
• Bring a data-driven approach to decision making, both in day-to-day management and in making strategic trade-offs
• Ability to work in highly dynamic environment with high degree of ambiguity
• Excellent communication skills with ability to simplify complex insights for end users
• Ability to lead a team of Data Analyst to deliver user stories in agile ways of working

YOU BRING (EXPERIENCE & QUALIFICATIONS)

• Should have 10+ years of relevant work experience in Data & Analytics
• Experience managing small teams, responsible for line management and act as a coach in an Agile model
• Experience in data visualization using Tableau (Tableau Desktop and Server) and Tableau certification is a plus
• Strong understanding of Tableau’s LOD functions, data blending, relations, logical/physical joins, row-level security, Tableau extensions, and Tableau API exp. would be an added advantage
• Strong analytics concepts and have applied the same in past projects (example: data correlation, Pareto, market-basket analysis, forecasting, creating complex visuals like sunburst, multi-layered maps, usage of tableau extensions etc.)
• Professional experience and can provide guidance in building robust data pipelines using ETL tools is a must (e.g., Alteryx, Talend, etc.) Alteryx certification is a plus
• Define architecture and design for the development, evolution, and transformation of data foundations
• Design databases, architectures, data pipelines e.g., extract-transfer-load (ETL) processes, and facilitate customized (statistical) analyses
• Creating data models and pipelines supporting BI, client reporting and Artificial Intelligence / Machine Learning projects
• Experience working on with cloud warehouses like: Snowflake and other relational databases like SQL, etc. and Snowflake certification is a plus
• Understanding of dimensional modeling, star schemas, real-time and batch ETL/ELT
• Knowledge of scripting languages, such as Python
• Ability to work with large data sets both structured and unstructured data

YOU’LL WORK WITH

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