Business Intelligence Engineer, Data Operations
Job Description
Role Description
The Business Intelligence team sits at the intersection of numerous cross-functional partnerships including (but not limited to) Product, Growth, Marketing, Sales, Business Development, Data Engineering, and Data Science. We wear multiple hats and flex multi-disciplinary skillsets in order to deliver repeatable and scalable data solutions to support better decision making throughout Dropbox. Our products impact a wide audience, ranging from non-technical to technical, from the individual contributor to the C-Suite.
We are seeking a Senior Business Intelligence Engineer to own key business partnership from end-to-end. You are not simply a dashboard developer. You are an internal consultant who will embed within partner teams to diagnose their pain points and meticulously craft a data strategy to improve their insights capabilities.
Successful candidates will have:
- A passion for creating accessible and intuitive data models. Knowledge of data warehouse modeling best practices and tradeoffs (dimensional data modeling, Kimball, Inmon, etc.).
- An obsession with data quality and cleanliness. Even a 1% variance keeps you up at night.
- An expertise in data visualization best practices, understanding the right design approach to use for a given audience.
- Customer obsession and accountability to partners. Their problems are your problems.
- Creation of semantic layers in the data warehouse that abstract complex business concepts
- Data governance and certification of sources of truth for key data sets at Dropbox
- Consulting on development of new data sets, being the voice of the customer/business by partnering with Data Engineering and Data Scientists to build the right pipelines
- Maintenance and stewardship of metric definitions, KPIs, customer segmentations, etc.
- Researching and applying industry best practices to the Business Intelligence Engineering workflow
- Administering critical tooling and key processes for the team
- Driving continuous process improvement across the entire Data org
- Passionate about knowledge management and improving the overall data experience for Dropboxers
- Experience with leveraging or administering git (GitHub, GitLab, etc.) or similar version control systems in an analytics or data engineering setting
- Experience with implementing continuous integration/continuous deployment concepts in a team environment
- Experience with Airflow (or similar orchestration tools) and proficiency in Python to be able to contribute to utilities/enhancements (e.g. operators)
- Experience creating and automating scripts to perform tests, validation rules, and alerting
- Experience working with JIRA or similar tool in an Agile environment
- Bachelors’ or above in quantitative discipline: Statistics, Applied Mathematics, Economics, Computer Science, Engineering, or related field.
- 3+ years experience using analytics to drive key business decisions; examples include business/product/marketing analytics, business intelligence, strategy consulting.
- Proven track record of being able to work independently and proactively engage with business stakeholders with minimal direction
- Strong project management and prioritization skills
- Strong verbal and written communication skills
- Data Governance experience or background is a plus
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Date Posted
10/22/2022
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