Deputy Manager, Analytics & Insights

Zscaler
India
Workplace: HybridFull timeFunction: Data Analytics & Business IntelligenceExperience: 5-7 yearsSkills: ["Leadership","Collaboration","Data-driven","Communication","Problem-solving"]

Deputy Manager — Analytics & Insights leads the Finance FP&A analytics data stack, defining governed data models for core SaaS metrics, building scalable data products in Snowflake/dbt, and prototyping GenAI-driven insights to automate reporting and decision-making in a hybrid Mohali-based role.

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FursaFursa
Zscaler
Zscaler
5 months ago

Deputy Manager, Analytics & Insights

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live
Reposted: similar role first listed 10 months ago

Job Summary

Deputy Manager — Analytics & Insights leads the Finance FP&A analytics data stack, defining governed data models for core SaaS metrics, building scalable data products in Snowflake/dbt, and prototyping GenAI-driven insights to automate reporting and decision-making in a hybrid Mohali-based role.
Location: India
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Manager level

Key Responsibilities

  • •Define and own the governed, auditable data models for core SaaS metrics (ARR, NRR, and churn), ensuring all complex business logic is accurately translated into the data architecture
  • •Utilize expert-level SQL and Python to design and build analytical datasets within Snowflake that power critical FP&A reporting, forecasting, and executive insights
  • •Manage the Finance DBT environment by overseeing project structure, standards, testing strategies, and performance optimization, while migrating legacy logic into modern, modular facts and dimensions
  • •Lead efforts to identify operational bottlenecks and develop robust SQL and Python frameworks designed to eliminate manual work and streamline financial data workflows
  • •Spearhead the prototyping of RAG and LangChain-based solutions to provide automated business commentary and enhance self-serve insights through cutting-edge AI

Pay and Benefits

Perks:Health InsuranceParental LeaveRetirement Options

Key Requirements

  • •5–7+ years in Finance Analytics, Analytics Engineering, or Data Engineering with strong exposure to finance systems and metrics
  • •Expert SQL with deep Snowflake experience including data modeling, optimization, and warehousing best practices at scale
  • •Strong Python proficiency for data engineering and automation including APIs, pipelines, and frameworks
  • •Significant hands-on DBT experience focusing on dependencies, testing strategy, standards, and CI/CD concepts
  • •Practical experience designing and operating ELT pipelines and orchestration such as Airflow or Prefect along with dimensional and schema design
Experience:5-7 yearsFinanceSaaSCybersecurity
Skills:LeadershipCollaborationData-drivenCommunicationProblem-solving
Languages:English
Tech Stack:SQLPythonSnowflakeDbtAirflowPrefectLangChainOpenAIGenAI

Company Brief

Zscaler
Provides cloud-native security platform delivering secure access, threat protection, and zero trust services to organizations, enabling secure internet and private application access without traditional network appliances.
Industry: Cybersecurity
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 2007
WebsiteLinkedIn