Company Description

Dropbox is a leading global collaboration platform that's transforming the way people work together, from the smallest business to the largest enterprise. With more than 500 million registered users across more than 180 countries, our mission is to design a more enlightened way of working. From our headquarters in San Francisco to eight dedicated Studios and a worldwide team of employees who choose where they work best, our Virtual First approach is leading the way into the future of work.

Team Description

Our Product team advocates for our users and our business, setting the vision for our growing family of products. We use data, research, strategy, and empathy to guide multidisciplinary teams toward a common goal, balancing diverse perspectives and empowering our teams to do great work. As we scale globally, there’s plenty of space for you to grow alongside us and simplify life for millions of people around the world in team that always focuses on we, not I, and creates delightful products that are worthy of trust.

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.

Responsibilities

• 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. 

Requirements

• 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) ..as 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.

Dropbox is an equal opportunity employer. We are a welcoming place for everyone, and we do our best to make sure all people feel supported and connected at work. A big part of that effort is our support for members and allies of internal groups like Asians at Dropbox, BlackDropboxers, Latinx, Pridebox (LGBTQ), Vets at Dropbox, Women at Dropbox, ATX Diversity (based in Austin, Texas) and the Dropbox Empowerment Network (based in Dublin, Ireland).