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Senior Business Intelligence Engineer, Enterprise Intelligence
SmartsheetSenior Business Intelligence Engineer at Smartsheet building automated and governed BI solutions. Centralizing corporate metrics and enabling self-serve data insights in a hybrid role.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in analytics engineering and BI engineering, with a strong focus on KPI design, data governance, and the ability to translate business priorities into actionable insights. Proficient in SQL and familiar with AI/LLM tooling, ensuring effective cross-functional collaboration and communication.
Highest-signal resume keywords
Analytics EngineeringKPI DesignDeep SQL ExpertiseBI/Visualization ToolsCross-Functional Collaboration
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
KPI DesignSQLData GovernanceMetric CertificationData ModelingAI/LLM ToolingSemantic Layer DevelopmentAutomationInsight GenerationTrend Analysis
Soft Skills
Proactive MindsetOwnership-DrivenAsync CommunicationCollaboration Skills
Tools & Technologies
SnowflakeDatabricksTableauAmplitudeDbtMCP Servers
Certifications & Qualifications
Bachelor's Degree in Computer ScienceBachelor's Degree in EngineeringBachelor's Degree in MathematicsBachelor's Degree in Statistics
Industry Keywords
Business IntelligenceData EngineeringAnalyticsMetric ModelsExecutive Reporting
Tech Stack
Tools & technologiesCloudSQLTableau
About the role
Key responsibilities & impact- Design, 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
- Own the automation and maintenance of corporate scorecards and executive reporting (SLT/XLT), ensuring trusted, timely data with AI-powered anomaly detection and alerting
- Conduct 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
- Lead metric certification and governance — maintain a centralised KPI glossary, standardise dashboards, and retire stale reporting assets
- Build 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
- Drive self-serve analytics enablement — documentation, training, dashboard quality checks, and experimentation governance across Amplitude, Tableau, and other platforms
- Partner with Product, Engineering, Finance, GTM, and Customer Success to align metric definitions and data sources cross-functionally
- Translate qualitative UX signals and customer feedback into measurable data pipelines
Requirements
What you’ll need- Bachelor's degree (B.Tech / B.E. / B.Sc.) in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field
- 5+ years of experience in analytics engineering, BI engineering, data engineering, or a closely related role
- Experience with KPI design and insight generation — ability to define meaningful metrics, analyse trends, identify anomalies, and communicate findings that drive business decisions
- Familiarity 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
- Deep SQL expertise with experience working in cloud data platforms such as Snowflake and/or Databricks
- Experience building semantic layers, governed data models, or canonical metric definitions for downstream consumption
- Working familiarity with AI/LLM tooling — concepts such as MCP (Model Context Protocol), agentic frameworks, or tool-use patterns for large language models
- Proficiency with one or more BI/visualisation tools (Tableau, Amplitude, or similar)
- Strong cross-functional collaboration skills and excellent async communication across time zones (IST / US Pacific overlap expected)
- A proactive, ownership-driven mindset — comfortable building new processes and standards in a greenfield environment.
Benefits
Comp & perks- Health insurance
- Paid time off
- Flexible working hours
- Professional development opportunities