
Business Intelligence Engineer III
IFDS Europe
full-time
Posted on:
Location Type: Remote
Location: Washington • United States
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Salary
💰 $110,880 - $126,000 per year
About the role
- Own the full analytics lifecycle – from requirements gathering and pipeline development to design of data models and delivery of dashboards and analytical tools that support both customers and internal stakeholders.
- Monitor and optimize pipeline performance, cost efficiency, and reliability, providing issue resolution and maintenance for the analytics platform, as needed.
- Create, enhance, and maintain customer-facing dashboards and reports that deliver accurate and actionable analytics.
- Define standardized metrics, KPIs, and advanced analyses (e.g., cohort analysis, period over period) to uncover insights and influence product and business strategy.
- Write high-quality SQL and maintain clean, reusable analytics code using version control.
- Contribute to data governance practices including documentation, access control, data masking and anonymization, and metric consistency.
- Mentor junior team members through code reviews, design sessions, and knowledge sharing while defining team coding standards and reusable frameworks.
Requirements
- Bachelor’s degree in a quantitative field (e.g., Data/Computer Science, Engineering, Information Systems, Statistics) or equivalent practical experience.
- Proven experience (6+ years) owning end-to-end production data solutions and driving decision-making as an analytics or business intelligence engineer.
- Deep expertise in reading and writing advanced SQL, building pipelines, and maintaining cloud data storage (e.g., in Snowflake).
- Some Python experience for analysis or automation preferred.
- Proficiency in LookML for data visualization, including building and governing explores, applying user attributes/access filters, using PDTs, and delivering multi-tenant dashboards.
- Experience with Jira, Git-based workflows for collaborative development, and CI/CD practices.
- Strong business intuition to turn ambiguous stakeholder questions into clear metrics and ability to communicate complex data concepts to both technical and non-technical audiences.
Benefits
- Medical/Dental/Vision Insurance
- Simple IRA (employer match)
- Flexible paid time off
- Short-term Disability
- Parental and other leave
- Paid holidays
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
SQLdata modelingpipeline developmentdata governanceLookMLPythoncloud data storageKPI definitioncohort analysisanalytics code maintenance
Soft skills
mentoringcommunicationproblem-solvingbusiness intuitioncollaborationknowledge sharingstakeholder engagementanalytical thinkingteam leadershipadaptability