Wrapbook is seeking a Data Analyst to strengthen its analytics foundation by transforming complex production and payroll data into clear, actionable insights, enabling smarter and faster decisions across various departments.
Requirements
- Strong experience with BI and analytics tools (Looker, Omni, Tableau, Mode) and a solid understanding of data modeling
- Interest in integrating AI into analytics workflows to boost efficiency, uncover insights, and enhance decision-making
- Advanced proficiency in SQL and hands-on experience with modern data warehouses like Snowflake, BigQuery, or Redshift
- Proficiency in Python or R for analytical modeling, exploratory analysis, and storytelling that drives business insights
- Proven ability to partner cross-functionally with RevOps, Finance, and Product teams to define business logic, metrics, and reporting frameworks
- A product-oriented mindset—you think in systems and build scalable solutions that create long-term value
- 3–5+ years of experience in data analytics or a related field at a fast-paced, high-growth tech company
Responsibilities
- Turn business questions into clear analytical problems and build scalable frameworks that transform one-off analyses into repeatable solutions.
- Work with business, product, and engineering teams to define key metrics, track performance, and uncover insights that drive growth and efficiency.
- Partner with leadership to design KPI frameworks and reporting systems aligned with strategic priorities and operational goals.
- Own your domain as a data product steward—ensure datasets, definitions, and models are accurate, well-documented, and consistently maintained.
- Partner with data and analytical engineers to strengthen pipelines, improve data quality, and enhance modeling practices for greater reliability and scalability.
- Help build team culture by improving processes, tools, and systems that enable consistent, high-quality analytics and better decision-making.
- Identify opportunities to optimize and automate data processes, making them more efficient and accessible across the organization.
Other
- Work across Product, Finance, Client Operations, RevOps, and Leadership
- Own the complete analytics workflow—from data exploration and dashboard creation to insight delivery—empowering teams with accessible, actionable information that drives confident decision-making.
- Integrate AI tools and automation into analytics processes to accelerate insight generation, streamline reporting, and expand self-service capabilities.
- Build training materials and best practices that enable teams to explore data independently.
- Exceptional communication skills—you translate technical concepts into clear, accessible insights for any audience
