dayforce
Senior Analytics Engineer
Simon & Schuster
Noida, IND
Full-time
Senior · 5+ years experience
Onsite
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The Role
Simon & Schuster is investing in Data & Decision Intelligence to build a decision ecosystem in which data, tools, and data-driven automation are embedded in how work gets done every day - enabling faster, more informed decisions across the company.
We are seeking a Senior Analytics Engineer to help turn that commitment into trusted, reusable data products across publishing, sales, marketing, finance, and operations. This senior hands-on role combines analytics engineering, business partnership, and responsible use of AI to deliver governed data models, consistent metrics, and scalable self-service analytics.
What You Will Do
- Build trusted data products. Develop scalable transformation pipelines, dimensional models, curated data marts, and reusable datasets for reporting, forecasting, experimentation and AI-enabled use cases.
- Create consistent metrics. Partner with business leaders to define critical measures and encode consistent business logic so teams work from shared definitions across dashboards, analyses, applications, and AI experiences .
- Engineer for trust. Apply automated testing, documentation, lineage, monitoring, code review, and data-quality controls; resolve issues at their root cause.
- Enable responsible AI. Use approved AI tools to accelerate delivery, prepare governed data for AI applications, and validate generated outputs for accuracy, explainability and business fit.
- Automate manual processes. Partner with business and operations teams to replace repetitive, data-intensive workflows with reliable, monitored automation that improves speed, accuracy, control, and employee capacity.
- Modernize analytics. Transition fragmented or legacy reporting into governed data products and self-service experiences while maintaining business continuity and controlling platform cost.
- Lead through influence. Translate ambiguous questions into practical solutions, communicate recommendations clearly, mentor colleagues, and raise team engineering standards.
- Partner across the enterprise. Work with stakeholders in publishing, sales, marketing, finance, operations, supply chain, and technology, including globally distributed colleagues.
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