Smartsheet21.04.2026
Sr. Business Intelligence Engineer, Enterprise Intelligence (Hybrid, Bangalore)
Bangalore
Обязанности
- 01Design, build, and maintain governed metric models — standardised, reusable definitions of business KPIs that dashboards, reports, and AI agents all query from a single source of truth
- 02Own the automation and maintenance of corporate scorecards and executive reporting (SLT/XLT), ensuring trusted, timely data with AI-powered anomaly detection and alerting
- 03Conduct deep dives on key KPIs and company goals, surfacing actionable insights and translating short- and long-term business priorities into data-driven recommendations shared via reviews and async updates
- 04Lead metric certification and governance — maintain a centralised KPI glossary, standardise dashboards, and retire stale reporting assets
- 05Build AI agent integrations (MCP servers, skills, subagents) that allow tools like Claude and Snowflake Cortex to query enterprise data through the semantic layer with metric-correct SQL
- 06Drive self-serve analytics enablement — documentation, training, dashboard quality checks, and experimentation governance across Amplitude, Tableau, and other platforms
- 07Partner with Product, Engineering, Finance, GTM, and Customer Success to align metric definitions and data sources cross-functionally
- 08Translate qualitative UX signals and customer feedback into measurable data pipelines
Требования
- 01Bachelor's degree (B.Tech / B.E. / B.Sc.) in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field
- 025+ years of experience in analytics engineering, BI engineering, data engineering, or a closely related role
- 03Experience with KPI design and insight generation — ability to define meaningful metrics, analyse trends, identify anomalies, and communicate findings that drive business decisions
- 04Familiarity with dbt (dbt Core or dbt Cloud) and concepts like YAML-based metric definitions and reusable data models; hands-on experience is a plus but not required
- 05Deep SQL expertise with experience working in cloud data platforms such as Snowflake and/or Databricks
- 06Experience building semantic layers, governed data models, or canonical metric definitions for downstream consumption
- 07Working familiarity with AI/LLM tooling — concepts such as MCP (Model Context Protocol), agentic frameworks, or tool-use patterns for large language models
- 08Proficiency with one or more BI/visualisation tools (Tableau, Amplitude, or similar)
- 09Strong cross-functional collaboration skills and excellent async communication across time zones (IST / US Pacific overlap expected)
- 10A proactive, ownership-driven mindset — comfortable building new processes and standards in a greenfield environment
Условия
- 01Hybrid work model (Bangalore)
- 02Equal Opportunity Employer policy