Job Summary:
We are seeking a seasoned and dynamic Analytics Manager to lead and drive business charters and accompanying products by aligning with business and product stakeholders. As a key member of our team, you will be responsible for analytics scoping, planning, and team management to ensure the success of our strategic initiatives.
Responsibilities:
Business and Product Alignment | Analytics Scoping and Planning:
- Understand and align business and product initiatives in collaboration with stakeholders.
- Shape business/product requirements into analytics/data scope.
- Formalize requirements into roadmaps and iterations, accounting for dependencies.
Project Management:
- Drive project execution with effective prioritization and resource allocation.
- Resolve blockers through technical expertise, negotiation, and delegation.
- Ensure completeness of solutions through stand-ups and course-correction.
KPIs and Metrics:
- Drive business-level KPIs.
- Ensure initiatives and product features align with and amplify those KPIs.
- Responsible for high-level design and data architecture impacting performance.
- Envision data APIs and establish proper ownership structures.
Team Management:
- Manage a team of 5-8 members and a portfolio of 1-2 business charters.
- Conduct regular one-on-ones with reportees to ensure resource welfare.
- Provide periodic assessments and actionable feedback for progress.
- Recruit new members, collaborating effectively with the hiring team for long-term resource planning.
Process Design:
- Formulate SLA benchmarks and set up processes for on-time ad-hoc requests resolution, issues tracking, and solving for inefficiencies.
- Establish robust code review practices 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: Proficient in Python/R/SQL, Excel/PPT, Colab notebooks.
- Database: Experience with PostgreSQL, Amazon Redshift, DynamoDB, Aerospike.
- Warehouse: Familiarity with Amazon Redshift.
- ETL: Extensive experience in Python and custom-made solutions.
- Business Intelligence/Visualization: Competence in Metabase, Python/R libraries for location data, and Dash.
- Deployment Pipeline: Proficiency in Docker, Jenkins, AWS Lambda.
- Collaboration: Skills in Git, Dropbox Paper.
Qualification Prerequisites:
- Minimum 7 years of analytics experience.
- Experience managing an Analytics team of at least 4 people end-to-end.
- Exposure to consumer-facing products (product organization experience preferred).
- Strong technical background with the ability to contribute to design and review.
- Familiarity with our current or a similar analytics stack
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