Analytics Engineer (DBT, BigQuery)

Box (NYSE:BOX) is the leader in Intelligent Content Management. Our platform enables organizations to fuel collaboration, manage the entire content lifecycle, secure critical content, and transform business workflows with enterprise AI. We help companies thrive in the new AI-first era of business. Founded in 2005, Box simplifies work for leading global organizations, including JLL, Morgan Stanley, and Nationwide. Box is headquartered in Redwood City, CA, with offices across the United States, Europe, and Asia.

By joining Box, you will have the unique opportunity to continue driving our platform forward. Content powers how we work. It’s the billions of files and information flowing across teams, departments, and key business processes every single day: contracts, invoices, employee records, financials, product specs, marketing assets, and more. Our mission is to bring intelligence to the world of content management and empower our customers to completely transform workflows across their organizations. With the combination of AI and enterprise content, the opportunity has never been greater to transform how the world works together and at Box you will be on the front lines of this massive shift.

Business Analytics at Box is growing, and with it the need for a consistent and trusted data foundation for decision-making at scale. As an Analytics Engineer you will develop and own that foundation: well-designed data models and pipelines, governed metric definitions, systematic testing and quality monitoring, and standards that enable the team to build on it consistently. You will also build workflows and automations that let our data products meet our stakeholders where they are, from Slack to Salesforce.

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  Evolve our dbt project toward modular, documented and tested data models organized in clear layers, from raw sources to marts

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  Shape our semantic layer from its early stages: define how metrics are modeled and governed, and drive its adoption

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  Shape the data modeling standards and conventions for the Business Analytics team, and uphold them through code review, pairing, and documentation

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  Partner with Data Scientists and Data Analysts to design the datasets their analyses, dashboards, and ML models are built on

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  Build out our data testing practices and enforce them in CI, implement observability over our data

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  Diagnose upstream data issues and drive them to resolution by partnering with Data Engineering and Enterprise Systems teams

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  Build and maintain the Prefect workflows that put our data and models to work

• 3+ years of experience in analytics engineering, data engineering or a comparable data role, working with large amounts of data

• Expert in SQL - able to write and review complex queries with confidence

• Solid understanding of data modeling principles and hands-on experience with dbt or a comparable transformation framework

• Engineering discipline applied to analytics code: version control, code review, testing, and CI are your defaults, and you can bring a team along to work the same way

• Comfortable with Python, with experience in a workflow orchestration tool (Prefect, Airflow, Dagster)

• Experience with a cloud data warehouse; BigQuery is a plus

• Experience supporting and working with cross-functional teams in a dynamic environment

• A proactive mindset - you look for improvements before anyone asks, and you challenge the status quo when you see a better way

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, and any other protected ground of discrimination under applicable human rights legislation.

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