Senior Business Intelligence Engineer
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Job Description
Business Intelligence Engineer at Dropbox collaborating with cross-functional teams to optimize data-driven decisions. Building data pipelines and visualizations to influence strategic initiatives.
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.
- 6+ 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.
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