Senior Analytics Engineer
Simon & Schuster (company site, opens in a new tab)5+ yrsNoidaOn-siteDirect career pageEst. 12–20 LPA
Posted on 15 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop scalable, trusted data products including transformation pipelines, dimensional models, and reusable datasets across publishing, sales, marketing, finance, and operations.
- Define and maintain consistent business metrics and logic in partnership with business leaders to enable shared data definitions across dashboards, analyses, and AI tools.
- Implement data quality controls, documentation, monitoring, automation of manual processes, and responsible AI practices to improve reliability, decision speed, and self-service analytics adoption.
Minimum Requirements
- 5+ years of experience in analytics engineering, data engineering, BI engineering, or related data roles.
- Advanced SQL, dimensional modeling skills, and experience with structured and semi-structured data.
- Hands-on experience with modern cloud data platforms and transformation frameworks such as Snowflake and dbt or equivalents.
- Practical Python skills, experience with Git, modular design, testing, code review, CI/CD, and production support.
Ideal Candidate Profile
- Experienced in building governed, scalable analytics products and modernizing legacy reporting into self-service solutions.
- Comfortable partnering broadly across business functions and translating ambiguous problems into actionable data solutions.
- Able to lead technical standards and mentor team members to raise analytics engineering maturity.