Über diese Business Intelligence Data Analytics Engineer (Snowflake, Fivetran) Stelle bei Modeln
Job Responsibilities
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Design, build, and maintain scalable data pipelines using Fivetran to ingest data from Salesforce, ERP, and other business systems into Snowflake.
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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.
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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.
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Partner with Finance and cross-functional stakeholders to translate business questions into data models, metrics definitions, and dashboard solutions.
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Validate data accuracy and reconcile financial and operational metrics across source systems (CRM, ERP, and other systems of record) and the Snowflake data warehouse.
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Manage data warehouse objects in Snowflake, including schema design, virtual warehouse configuration, role-based access controls, and query optimization.
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Define and enforce KPI definitions, data source documentation, and metric governance to drive consistent reporting across Finance and GTM teams.
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Analyze customer, revenue, and product usage data to surface trends related to growth, churn, expansion, pricing, and performance.
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Continuously improve analytics workflows, documentation standards, and self-service reporting capabilities to scale insight delivery across the organization.
Job Qualification
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4–7 years of experience in analytics engineering, business intelligence, or a related data role.
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Hands-on experience with Snowflake and Fivetran in a production environment.
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Strong SQL skills for querying, joining, and transforming structured data across complex schemas.
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Experience building and maintaining Tableau dashboards and data sources.
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Familiarity with CRM data structures, particularly Salesforce objects and reporting.
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Experience working cross-functionally with Finance, Ops, or GTM teams to support data and reporting needs.
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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.
Technical Skills
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Snowflake: schema design, virtual warehouse management, RBAC, query optimization, and cost monitoring.
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Fivetran: connector configuration, sync scheduling, schema change handling, and MAR management.
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Tableau: advanced dashboard design, calculated fields, LOD expressions, data source management, and Tableau Server/Cloud publishing.
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SQL: advanced querying across Snowflake; window functions, CTEs, and performance tuning.
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Salesforce: familiarity with standard and custom objects, SFDC data exports, and CRM reporting structures.
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Git: version control for analytics codebases.
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Python (preferred) for data analysis, automation, and supplemental data processing tasks.
Analytical & Business Acumen
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Solid understanding of SaaS business metrics (ARR, NRR, churn, pipeline coverage, quota attainment) and how they flow through financial and GTM reporting.
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Ability to integrate, clean, and analyze data from disparate source systems into a coherent, governed data model.
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Skilled in translating complex data into clear narratives, actionable insights, and strategic recommendations for Finance and executive audiences.
