givebutter - Analytics Engineer
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Requirements
• 2+ years of experience working in analytics engineering, data engineering, or analytics roles. • Strong SQL skills and experience working with relational data warehouses. • Hands-on experience working with Snowflake as a cloud data warehouse. • Hands-on experience developing and maintaining models using dbt. • Experience using Python for data workflows, scripting, or API integrations • Understanding of analytical data modeling concepts, including fact tables, dimensions, star/snowflake schema, and partitioning. • Ability to independently investigate and resolve complex data issues across multiple systems. • Strong communication skills and the ability to collaborate with both technical and non-technical stakeholders. • Ability to work independently, investigate ambiguous problems, and propose improvements to the data platform. • Deadline to apply: May 16th at 12:00 AM EDT • 2. Hiring Manager Interview: A deeper dive into your relevant experience, skillset, and working style. This is your first opportunity to connect directly with the person who may be your future manager. • 3. Assessment (technical or non-technical): This stage will vary based on the role. It could involve a live coding session, case study, or take-home project. Some roles may include two parts to this stage to evaluate both practical skills and problem-solving approaches • 4. Values Interview: A conversation with team members focused on how you align with our core values and leadership principles. • 5. References: We connect with a few folks you’ve worked closely with to get a better picture of your working style and impact. • 6. Offer: If all goes well, we’ll move to the offer stage! • Please note, we will have an AI note-taking tool join most of our interviews. • Hi potential new butterslice! A recent study from LinkedIn https://business.linkedin.com/content/dam/me/business/en-us/talent-solutions-lodestone/body/pdf/Gender-Insights-Report.pdf showed that most women apply to jobs only when they meet 100% of the requirements, whereas men will hit the apply button if they hit 60%. Givebutter is committed to building a diverse and inclusive team. So to the women and nonbinary folks out there feeling unsure if you're a perfect fit, we strongly encourage you to apply!
Responsibilities
• Maintain and expand the company’s analytical data model using Snowflake and dbt, ensuring datasets are reliable, well-structured, and easy to use. • Partner with stakeholders to understand reporting and analytics needs and translate them into new models and datasets. • Investigate discrepancies in metrics and datasets and perform root-cause analysis across systems. • Pipeline Monitoring and Maintenance • Monitor and maintain ELT pipelines across our data stack. • Investigate and resolve pipeline failures, schema changes, and data inconsistencies. • Identify opportunities to improve pipeline reliability, efficiency, and cost effectiveness. • Data Documentation and Governance • Expand documentation across the data model to clearly describe business logic, relationships, and definitions. • Ensure datasets are clearly structured and documented so they can be reliably used across analytics tools and internal workflows. • Contribute to the structured AI data context files that help internal AI tools accurately interpret datasets and metrics. • Help maintain data governance standards, including contributing to PII masking policies and ensuring sensitive customer data is handled appropriately across the data platform. • Stakeholder Partnership • Work closely with Product, Revenue, and Operations teams to understand their data needs and questions. • Help stakeholders navigate the data model and identify the most appropriate datasets for their use cases. • Occasionally build or modify Hex projects to support data exploration or reporting needs.
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