Senior Analytics Engineer
Job Description
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We are seeking a Senior Analytics Engineer to drive significant business impact by shaping our data infrastructure, developing robust data models, and promoting best practices in analytics engineering (e.g., data quality, documentation, and scalable data architectures). You will collaborate closely with business stakeholders to identify and deliver high-value data solutions and provide informal mentorship to junior team members, fostering their growth and enhancing team capabilities.
What you'll do:
- Create and maintain complex, scalable data models in Snowflake using dbt.
- Expose datasets effectively in BI tooling to enable robust self-service analytics.
- Perform simple data ingestion tasks using no-code tools and ensure streamlined data flows.
- Add comprehensive metadata to datasets, including documentation, data quality checks, and sensitive data masking.
- Activate data by pushing it from Snowflake into other operational tools.
- Proactively identify and raise data quality issues to the respective process owners for resolution.
- Lead training sessions and initiatives to drive adoption and effective use of BI tools across the organization.
- Mentor junior analytics engineers, fostering knowledge-sharing and professional growth.
We'd love to hear from you if you:
- Extensive experience in analytics engineering or related data roles, with demonstrated expertise in advanced SQL, dbt, and Snowflake.
- Proficient in using BI tools (e.g. Tableau, Looker, PowerBI, Snowsight) to deliver clear, actionable insights for business stakeholders.
- Skilled in performing data ingestion and activation using no-code tools (e.g. Fivetran, Stitch), ensuring efficient data integration into operational systems.
- Knowledgeable in managing metadata, documentation, data quality checks, and sensitive data masking effectively.
- Effective at collaborating closely with diverse stakeholders, understanding their data needs, and delivering impactful solutions.
- Experienced in conducting training sessions and providing informal mentorship to junior analytics team members, fostering a collaborative and knowledge-sharing environment.
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Paddle
View Company ProfilePaddle is the premier, enterprise-grade Merchant of Record (MoR) and global digital billing orchestration powerhouse engineered to operate as the definitive, unified payments, tax, and compliance infrastructure layer for B2B and B2C SaaS corporations. The company eliminates the compounding systemic friction of scaling international software sales—which typically forces engineering teams to build fragile, multi-vendor billing stacks compromised by fragmented payment gateways, localized sales tax (VAT/GST) liabilities, multi-currency pricing compliance, and disconnected subscription management logic—by deploying a comprehensive, full-stack revenue delivery platform. Moving far beyond rigid, isolated payment gateways or simple API-wrapper billing paradigms, Paddle acts as the legal merchant of record, dynamically assuming full liability for international sales tax calculation, global financial compliance reporting, fraud prevention, and chargeback management with elite, scalable, and audit-ready precision. Under the hood, their sophisticated proprietary operational engine—bolstered by automated banking infrastructure rails, real-time localized checkout telemetry, and deep domain expertise across global jurisdictions—natively manages high-velocity cross-border transaction clearings, persistent subscription retention workflows, and centralized revenue analytics. What sets Paddle apart is its uncompromising dedication to frictionless operational abstraction; by bridging the gap between performance-intensive global regulatory demands and accessible, high-velocity developer APIs, the firm empowers modern software companies to radically accelerate their global market expansion velocity, eliminate systemic financial engineering bottlenecks, and build an unassailable foundation for continuous commercial growth in the modern, AI-transformed macroeconomic landscape.
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