Senior Analytics Engineer

Simon & Schuster is a global leader in general interest publishing, dedicated to providing the best in fiction and nonfiction for readers of all ages, and in all printed, digital, and audio formats. Its distinguished roster of authors includes many of the world’s most popular and widely recognized writers, and winners of the most prestigious literary honors and awards. It is home to numerous well-known imprints and divisions such as Simon & Schuster, Scribner, Atria Books, Gallery Books, Pocket Books, Adams Media, Simon & Schuster Children’s Publishing and Simon & Schuster Audio and international companies in Australia, Canada, India, and the United Kingdom, and proudly brings the works of its authors to readers in more than 200 countries and territories. For more information visit our website at www.simonandschuster.com.

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.

• Drive adoption. Document solutions, explain data products in business language, and coach users to confidently interpret and apply data

What You Bring

• 5+ years in analytics engineering, data engineering, BI engineering, or a related data role.

• Advanced SQL, dimensional modeling, and experience with structured and semi-structured data.

• Hands-on experience with a modern cloud data platform and transformation framework, such as Snowflake and dbt or comparable technologies.

• Practical Python skills and experience with Git, modular design, testing, code review, CI/CD, and production support.

• Experience defining governed business metrics and delivering analytics through Power BI, Tableau, Looker, or a comparable platform.

• Strong business partnership, communication, and problem-solving, with sound judgment around sensitive data and AI-assisted tools.

• Experience mentoring colleagues and improving team practices through feedback and shared standards.

Preferred

• Experience with semantic layers, observability, metadata, lineage, or data contracts.

• Experience with commercial, supply chain, and marketing analytics

• Experience modernizing legacy reporting and enabling governed self-service analytics.

• Familiarity with generative AI, or AI-product evaluation.

• Publishing, media, retail, or consumer-products experience

• Bachelor's degree in a quantitative or technical field, or equivalent practical experience.

Will Be Measured

• Business teams trust and adopt shared data products and metric definitions.

• Critical pipelines and models are reliable, observable, documented, and cost-efficient.

• Decision cycles become faster, with less manual reconciliation and duplicate reporting logic.

• Manual processes are reduced through reliable automation with measurable improvements in cycle time, accuracy, controls, and employee capacity.

• AI-enabled analytics are grounded in governed data and produce explainable, validated results.

• Team engineering standards improve through your technical leadership and mentoring.

An Inclusive Workplace

We welcome candidates with different paths and perspectives. If you do not meet every preferred qualification, we still encourage you to apply if you believe you can succeed in the role and contribute to our team.

Simon & Schuster India is an equal opportunity employer (EOE). At Simon & Schuster India, the spirit of inclusion feeds into everything that we do. From employee benefits/programs and social impact outreach initiatives, we believe that opportunity, access, resources, and rewards should be available to and for the benefit of all. Simon & Schuster India is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, and Veteran status.

Candidates hired for this or any other posted Simon & Schuster India role will be employees of Simon & Schuster Publishers India Private Limited, subject to all policies, including the Workplace Privacy Notice, and eligible solely for the benefits plans thereof.