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Über
Key Responsibilities
Data Modeling & Transformation
Design, build, and maintain scalable data models (dimensional, star/snowflake schemas)
Develop and optimize SQL / PL‑SQL transformations for analytics consumption
Implement and manage semantic layers to standardize business logic and metrics
Ensure data quality, consistency, and governance across datasets
BI Development & Analytics Delivery
Develop and maintain dashboards, liveboards, and search‑driven analytics (preferably in ThoughtSpot)
Translate business requirements into intuitive, self‑service analytics solutions
Partner with stakeholders to define KPIs, metrics, and reporting standards
Data Platform & Engineering Integration
Work within Snowflake for data modeling, performance tuning, and cost optimization
Collaborate with data engineering teams on data pipelines and ingestion frameworks
Optimize query performance and warehouse utilization
Embedded Analytics & Enablement
Support embedded analytics use cases (APIs, SDKs, or iframe‑based integrations)
Enable external and internal users with governed, scalable analytics access
Drive adoption of BI tools through best practices and training
Governance & Best Practices
Define and enforce standards for:
Data modeling
Naming conventions
Metric definitions
Contribute to data cataloging and documentation
Required Qualifications
4+ years of experience in analytics engineering, BI development, or data analysis
Strong proficiency in SQL (required)
Hands‑on experience with modern BI tools (ThoughtSpot strongly preferred; alternatives include Tableau, Power BI, Looker)
Proven experience designing semantic layers / business models
Experience working with Snowflake or similar cloud data platforms
Strong understanding of:
Data warehousing concepts
Dimensional modeling
Data governance practices
Preferred Qualifications
Experience with embedded analytics architecture
Familiarity with dbt or similar transformation frameworks
Exposure to API‑driven data access or BI integrations
Experience supporting external‑facing analytics products
Understanding of data contracts and data product thinking
Soft Skills
Strong stakeholder communication and business translation skills
Ability to operate in a cross‑functional environment (Product, Data Engineering, Business)
Proactive problem‑solving with a focus on scalability and usability
Benefits
Competitive salary
Paid parental leave
Generous paid time off
Medical, dental, vision, FSA, Life/AD&D, long and short term disability
401K matching
Employee referral program
TreviPay is an Equal Opportunity and Affimative Action Employer. We welcome all veterans and disabled applicants.
Individuals with disabilities will be provided reasonable accommodation to participate in the job application and/or interview process. Please contact Recruiting@trevipay.com to request an accommodation.
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Sprachkenntnisse
- English
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