Role Description

We're looking for a Staff 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. An ideal candidate should have robust knowledge of consumer lifecycle and behavior analysis, customer segmentation, digital campaigns, monetization analytics and business operations for a SaaS company.

Responsibilities

• Partner Strategically: Collaborate with Data Science, 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.
• 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 data into compelling stories, empowering stakeholders at all levels to take action.
• Prioritization: Understand what matters most and prioritize ruthlessly

Requirements

• Technical Expertise:
  • Advanced 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.
• Experience: 
  
  
  • 8-10+ years of experience in data science, 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.
• Education: Bachelor’s degree in a quantitative field like Computer Science, Engineering, Math, Statistics, or Economics. Master’s degree is a plus.

Preferred Qualifications

• Master’s or Ph.D. Degree in a quantitative field
• Experience with predictive modeling, Machine Learning, and A/B Testing methods

Compensation

US Zone 1

$219,300—$296,700 USD

US Zone 2

$197,400—$267,000 USD

US Zone 3

$175,400—$237,400 USD

The range(s) listed above is the expected annual salary/OTE (On-Target Earnings) for this role, subject to change.

Please note, OTE are for sales roles only.

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).

Dropbox takes a number of factors into account when determining individual starting pay, including job and level they are hired into, location/metropolitan area, skillset, and peer compensation.  We target most new hire offers between the minimum up to the middle of the range.

Dropbox uses the zip code of an employee’s remote work location to determine which metropolitan pay range we use. Current US Zone locations are as follows:

• US Zone 1: San Francisco metro, New York City metro, or Seattle metro
• US Zone 2: California (outside SF metro), Colorado, Connecticut (outside NYC metro), Delaware, Illinois (Chicago metro), Indiana (Chicago metro), Maryland, Massachusetts, Michigan (Chicago metro), New Hampshire, New Jersey (outside NYC metro), New York (outside NYC metro), Oregon, Pennsylvania (D.C. metro), Pennsylvania (outside NYC or DC metro), Texas (Austin metro) Virginia (DC metro), Washington (outside Seattle metro), Washington DC metro, West Virginia (DC metro), Wisconsin (Chicago metro)
• US Zone 3: All other US locations

Dropbox is a Virtual First company and is open to hiring candidates in all authorized locations.

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.

Benefits

Dropbox is committed to investing in the holistic health and wellbeing of all Dropboxers and their families. Our benefits and perks programs include, but are not limited to:

• Competitive medical, dental, and vision coverage
• 401(k) plan with a generous company match and immediate vesting
• Flexible PTO/Paid Time Off, paid holidays, Volunteer Time Off, and more, allowing you time to unplug, unwind, and refresh
• Income Protection Plans: Life and disability insurance
• Business Travel Protection: Travel medical and accident insurance
• Perks Allowance to be used on what matters most to you, whether that’s wellness, learning and development, food and groceries, and much more
• Parental benefits including: Parental Leave, Child and Adult Care, Day Care FSA, Fertility Benefits, Adoption and Surrogacy Support, and Lactation Support
• Access to over 10,000 global co-working spaces through Gable.to, making it easy to book flexible workspaces for collaboration or individual work
• Quarterly Cell phone and internet allowance
• Mental health and wellness benefits
• Disability and neurodivergence support benefits

Additional benefit details are available upon request.

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.