Senior Business Intelligence Engineer, Data Science - Location Flexible

San Francisco, CA; Remote - US

Full Time Senior-level / Expert
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Posted 5 days ago

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. 
  • Development of automated dashboards and reports to support a variety of use cases from business reviews to exploratory analyses. 
  • Develop alerting mechanisms to separate the signal from the nose.
  • Identify and analyze key trends to communicate to senior leaders. 
  • SQL as a first language with the chops to go toe-to-toe with any data engineer. 
  • The ability to develop and automate their own ETL. Proficiency in programming/scripting in Python, Airflow, and/or Stored Procedures is a plus.
  • An expertise in one or more industry leading enterprise business intelligence tools such as Tableau, Looker, PowerBI, Qlik, etc. (Tableau preferred) well as the basics like Excel. 
  • Experience working across both Hadoop (Hive) and traditional RDBMS (Snowflake, Teradata, etc.) environments on high volume customer data sets relating to finance, subscriptions, product usage and engagement.
  • An ability to analyze key trends and communicate insights, as well as the ability to develop/innovate new metrics to track the business. 
  • An ability to translate business requirements into technical requirements and vice versa.
  • 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
Job tags: Airflow Business Intelligence Consulting Economics Engineering ETL Finance Hadoop Looker Marketing PowerBI Python SQL Tableau
Job region(s): North America Remote/Anywhere
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