Business Intelligence Engineer

Join to apply for the Business Intelligence Engineer role at Dropbox Dropbox is a virtual first company. For this role, we are currently only authorized to hire candidates from the following provinces: Alberta, British Columbia, Ontario, and Saskatchewan. Company Description Dropbox isn’t just a workplace—it’s a living lab for more enlightened ways of working. We're a global community of bold visionaries and resourceful doers who are shaping the future of Dropbox—and with it the future of work. Our Virtual First model combines the autonomy of a distributed workplace with the power of human connection, making space for both meaningful work and meaningful relationships. With our start‑up mindset and enterprise‑level opportunities, you can be who you are and grow into who you’re meant to be. Here, you can own your impact to make work more intuitive, joyful, and human—for you as a Dropboxer and for hundreds of millions of people worldwide. If you're ready to push boundaries—and yourself—Dropbox is ready for you. Team Description The Dropbox Data Science team transforms data into powerful insights that inform everything we do at Dropbox. Combining applied analytics techniques with deep business insights, we investigate user behavior, product performance, and market trends to uncover new opportunities for growth, optimization, and innovation. Our work is highly collaborative: we work closely with Revenue, Product, and Marketing teams to enable data‑driven development and personalized customer solutions. It’s also highly creative, as we experiment to develop tools and dashboards that democratize insights across Dropbox. If you are driven by solving challenging problems and using the power of data to deliver impactful, user‑centered products and services, join our Data Sciences team. Areas of work include Applied Analytics, Experimentation, Data Engineering, Machine Learning, Business Intelligence, Data Visualization, and Statistical Modeling. Role Description We're looking for a Business Intelligence Engineer to partner with engineering and product teams to answer key questions about how to grow revenue, optimize product, scale and monetize the business, and launch high‑impact initiatives. We solve challenging problems and boost business growth through a deep understanding of user behaviors with applied analytics techniques and business insights. You are not simply a dashboard developer. You’ll build trusted semantic layers and operational reporting, enable self‑serve analytics, and partner with business owners to translate ambiguous questions into structured, measurable problems and roadmaps. Your work will be used from org to the C‑suite. 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. A knack for crisp, self‑serve data products (such as dashboards) that tell a story and drive action. A drive to make partners successful—their problems are your problems. Responsibilities Partner Strategically: Collaborate with Product, Marketing, Sales, and Engineering teams to understand their goals and challenges. Your work will directly influence decision‑making across the organization. Build Solutions: Design, develop, and maintain reliable data pipelines and models that turn raw data into meaningful insights. Your work will simplify complex concepts into user‑friendly dashboards and visualizations. Enable self‑serve: Build and maintain executive and team dashboards and data products that reduce ad‑hoc and increase decision speed. Drive Impact: Identify trends, diagnose problems, and craft solutions using metrics, reporting tools, and predictive models. Ensure Quality: Maintain high standards for data governance, privacy, and security while ensuring data quality and reliability. Communicate Insights: Translate business needs into technical requirements and explain results to non‑technical audiences, empowering stakeholders at all levels to take action. Prioritization: Understand what matters most and prioritize ruthlessly. Requirements Proficiency in SQL with hands‑on experience building and optimizing data pipelines. Knowledge of data modeling best practices (e.g., dimensional modeling). Experience with BI tools such as Tableau, Looker, or PowerBI. Analytical Mindset: Strong problem‑solving skills and the ability to identify key trends in complex datasets. Collaboration Skills: A natural communicator who can translate business needs into technical requirements and technical results into actionable business insights. 4+ years of experience in analytics, data engineering, or a similar field. Proven track record of delivering data‑driven projects that drive meaningful results. Familiarity with cloud environments like Snowflake or Databricks is a plus. Bachelor’s degree in a quantitative field like Computer Science, Engineering, Statistics, or Economics. Master’s degree is a plus. Preferred Qualifications Product analytics experience in a SAAS company. Experience with predictive modeling, Machine Learning, and A/B Testing methods. Compensation Canada Pay Range: $127,500—$172,500 CAD (expected annual salary/OTE). Salary/OTE is just one component of Dropbox’s total rewards package. All regular employees are also eligible for the corporate bonus program or a sales incentive (target included in OTE) as well as stock in the form of Restricted Stock Units (RSUs). Benefits Flexible PTO/Paid Time Off, paid holidays, Volunteer Time Off, and more, allowing you time to unplug, unwind, and refresh. Perks Allowance to be used on what matters most to you, whether that’s wellness, learning and development, food and groceries, and much more. Mental health and wellness benefits. Monthly Internet Allowance. Intern Social Stipend. Annual Emerging Talent Summit, travel and hotel accommodations provided. Additional Benefits Details Are Available Upon Request. Where group plans are not available, allowances may be provided. Benefit, amount, and type are dependent on geographical location, based upon applicable law or company policy. Dropbox supports responsible use of AI for preparation, but misrepresentation of skills or experience is not permitted. See our AI philosophy. 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, enABLE, TODOS (Latinx), Pridebox (LGBTQ), Vets at Dropbox, and Women at Dropbox. Seniority level: Not Applicable Employment type: Full‑time Job function: Business Development and Sales Industries: Software Development, IT Services and IT Consulting, and Technology, Information and Internet #J-18808-Ljbffr