Job Description
- Have successfully designed and implemented a fit-for-purpose data model optimized for action-oriented analytics use cases and company-wide reporting.
- Have experience creating and maintaining scalable, cost-effective data pipelines to manage and transform large amounts of data and ensure a high-quality data model.
- Can partner with Product and Engineering to integrate data upstream and downstream across our customer engagement platforms (Hubspot, Stripe, etc.).
- Know how to establish and enforce robust data integrity standards to ensure data is consistent, timely and accurate.
- DATA MODELING
- Gain a deep understanding of data needs and use cases, partnering with stakeholders and analysts to understand what’s needed in the short- and medium-term.
- Own the creation and execution of the data model that supports these needs, with a focus on quality, usability, and adaptability in a fast-changing environment.
- PIPELINE BUILDING AND MANAGEMENT
- Own the creation and execution of data pipelines that drive business intelligence and analytics across the company.
- Partner with Product and Engineering in ingesting and transforming data into a reliable, usable, and scalable structure.
- Own the company’s data stack (we use Snowflake, dbt, Fivetran, Mozart, and Hex).
- Consistently deploy solutions that improve the efficiency of data transforms, with a focus on speed, cost effectiveness, and stability.
- DATA INTEGRATION
- Define what needs to be tracked in our different platforms and translate these into technical requirements for Product and Engineering.
- Drive the future roadmap of Product and Revenue teams from a data systems perspective.
- DATA GOVERNANCE AND TESTING
- Implement and ensure consistency in data, metrics definition, and terminology across all data products: data warehouse, KPIs, dashboards, reports, and self-serve.
- Advanced degree in Statistics, Computer Science, Mathematics or a related field, or relevant industry experience.
- Expert programming and data manipulation skills using SQL and Python (or any coding language).
- Ability to proactively drive initiatives with minimal oversight. You understand when needs arise and creatively find solutions.
- Experience developing data models and designing data warehouses.
- Experience building multi-step ETL jobs/data pipelines.
Date Posted
07/28/2024
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