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Business Intelligence Data Analytics Engineer, Snowflake, Fivetran
Model NBusiness Intelligence & Analytics Engineer joining the Finance team to build and maintain data infrastructure. Collaborating across teams for financial planning and performance management.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and maintaining scalable data pipelines using Fivetran and Snowflake, with strong SQL skills for data transformation and analytics. Proficient in developing Tableau dashboards and collaborating with cross-functional teams to deliver actionable insights and ensure data accuracy.
Highest-signal resume keywords
Fivetran Data Pipeline DevelopmentSnowflake Data Warehouse ManagementSQL Querying and Data TransformationTableau Dashboard CreationCross-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
Data Pipeline DesignData TransformationSQLTableauData ValidationKPI DefinitionSchema DesignQuery OptimizationData DocumentationAnalytics Engineering
Soft Skills
CollaborationCommunicationProblem-SolvingAttention to DetailAnalytical Thinking
Tools & Technologies
FivetranSnowflakeTableauCRM SystemsERP Systems
Industry Keywords
Business IntelligenceData AnalyticsFinance ReportingGTM MetricsData Governance
Tech Stack
Tools & technologiesERPSQLTableau
About the role
Key responsibilities & impact- Design, build, and maintain scalable data pipelines using Fivetran to ingest data from Salesforce, ERP, and other business systems into Snowflake.
- Own the data transformation layer between raw ingested sources and analytics-ready datasets, ensuring models are clean, tested, documented, and aligned to Finance and GTM reporting needs.
- Build and maintain Tableau dashboards and reporting assets to track key financial and go-to-market metrics, including pipeline coverage, ARR/NRR, revenue retention, quota attainment, and other GTM activities.
- Partner with Finance and cross-functional stakeholders to translate business questions into data models, metrics definitions, and dashboard solutions.
- Validate data accuracy and reconcile financial and operational metrics across source systems (CRM, ERP, and other systems of record) and the Snowflake data warehouse.
- Manage data warehouse objects in Snowflake, including schema design, virtual warehouse configuration, role-based access controls, and query optimization.
- Define and enforce KPI definitions, data source documentation, and metric governance to drive consistent reporting across Finance and GTM teams.
- Analyze customer, revenue, and product usage data to surface trends related to growth, churn, expansion, pricing, and performance.
- Continuously improve analytics workflows, documentation standards, and self-service reporting capabilities to scale insight delivery across the organization.
Requirements
What you’ll need- 4–7 years of experience in analytics engineering, business intelligence, or a related data role.
- Hands-on experience with Snowflake and Fivetran in a production environment.
- Strong SQL skills for querying, joining, and transforming structured data across complex schemas.
- Experience building and maintaining Tableau dashboards and data sources.
- Familiarity with CRM data structures, particularly Salesforce objects and reporting.
- Experience working cross-functionally with Finance, Ops, or GTM teams to support data and reporting needs.
- Bachelor’s degree in a quantitative, technical, or business fields (e.g., Statistics, Mathematics, Economics, Computer Science, Data Science, Business Analytics). Master’s degree preferred.
Benefits
Comp & perks- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development