Responsibilities

• This role requires a person to support & drive business charters & accompanying products by aligning with business & product stakeholders and building & nurturing a team to aid in this. Responsibilities include

Business and product alignment | Analytics scoping and planning

• Understand and align business and product initiatives working with stakeholders.
• Help shape business / product requirements formulation into analytics / data scope.
• Formalize requirements into roadmaps and iterations - accounting for dependencies.

Project Management

• Drive project execution using effective prioritization and resource allocation.
• Resolve blockers through technical expertise, negotiation, and delegation.
• Strive for completeness of solution through stand-ups and course-correction.

KPIs and metrics

• Drive business-level KPIs
• Ensure all initiatives and product features resonate with and amplify those KPIs.
• Responsible for high-level design and data architecture impacting performance.
• Envision data APIs and set up proper ownership structures.

Team Management

• Manage a team of 5-8 members and a portfolio of 1-2 business charters.
• Do regular one-on-ones with reportees to ensure resource welfare.
• Periodic assessment and actionable feedback for progress.
• Recruit new members with a view to long-term resource planning through effective collaboration

with the hiring team.

Process design

• Formulate SLA benchmarks and set up processes to ensure on-time ad-hoc requests resolution + issues tracking + solving for inefficiencies and effort duplication.
• Establish good code review practices - using this as a nurturing tool.
• Set up communication channels (blog / newsletter) and feedback loops for knowledge sharing and stakeholder management. 
• Explore the latest best practices and tools for constant upskilling.

Analytics Stack

• Analytics : Python / R / SQL + Excel / PPT, Colab notebooks
• Database : PostgreSQL, Amazon Redshift, DynamoDB, Aerospike
• Warehouse : Amazon Redshift
• ETL : Lots of Python + custom-made
• Business Intelligence / Visualization : Metabase + Python/R libraries (location data) + Dash
• Deployment pipeline : Docker, Jenkins, AWS Lambda
• Collaboration : Git, Dropbox Paper

Qualification Prerequisites

• Analytics experience of minimum 7 years
• Experience managing an Analytics team of at least 4 people end-to-end
• Exposure to consumer facing products (product org experience preferred)
• Strong technical background and ability to contribute to design and review
• Familiarity with our current or a similar analytics stack