Manager, Analytics

We are looking for an Analytics Engineering Manager to grow and lead a small team of 1-3 Analytics Engineers, co-own our emerging analytics engineering practice, and play a critical role in further developing our rapidly growing Data Analytics organization. Partnering with people leaders and ICs within the analytics team and around the business, this role will facilitate the production of datasets used to surface key insights and drive business decision making. This role requires someone with strong analytical and technical skills, and who is comfortable working across multiple functional areas in a fast-paced, challenging environment.

We are looking to speak to candidates who are based in Gurugram for our hybrid working model.

Responsibilities

• Design and implement highly performant data post-processing pipelines
• Create shared data assets generating visibility into critical business metrics
• Partner with data engineering to expose governed datasets to the rest of the organization
• Make the team more efficient: Research and implement new tooling/processes team-wide; seek out and automate existing costly manual processes
• Serve as an analytical and technical thought partner to stakeholders on the analytics team and around the business

Skills & Experience

• Experience coaching and onboarding team members
• Experience leading the technical execution of business intelligence and analytics engineering related projects of large scope and complexity
• Strong proficiency in SQL and experience working with relational databases
• Proficiency in Python for data manipulation, automation, and analysis
• Experience translating project requirements into a set of technical sub-tasks that build towards a final deliverable
• Strong knowledge of programming fundamentals, with an emphasis on code simplicity and performance
• Committed to continuous improvement, with a passion for building processes/tools to make everyone more efficient
• Committed to contributing to a collaborative, enjoyable, and psychologically safe work environment
• The ability to effectively collaborate cross-functionally to drive actionable and measurable results
• A passion for the role of data in helping solve complex questions
• Experience combining data from disparate data sources to identify insights that were previously unknown
• A desire to constantly learn and improve themselves