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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading business intelligence and analytics engineering initiatives, with a strong focus on designing scalable data architectures and delivering actionable insights. Proficient in SQL and Python, with a deep understanding of data modeling, ETL/ELT processes, and visualization tools.
Highest-signal resume keywords
Business Intelligence EngineeringSQLPythonData Pipeline DesignData Quality Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLPythonData ModelingETL/ELT PipelinesAnalytics SolutionsDescriptive AnalysisRegression AnalysisTime Series AnalysisHypothesis TestingDashboard Development
Soft Skills
Stakeholder CommunicationMentorshipProblem-SolvingJudgment
Tools & Technologies
BigQueryAirflowVisierLookerGoogle Cloud PlatformGit
Certifications & Qualifications
BS/BA DegreeMA/MS DegreePhD
Industry Keywords
Data WarehousingDimensional ModelingSemantic ModelingSelf-Service AnalyticsPeople Data
Tech Stack
Tools & technologiesAirflowBigQueryCloudETLGoogle Cloud PlatformJavaPythonScalaSQL
About the role
Key responsibilities & impact- Lead complex, high-impact business intelligence and analytics engineering initiatives from problem definition through delivery
- Translate ambiguous business needs into technical and analytical approaches
- Define requirements, evaluate tradeoffs, prioritize solutions, and manage stakeholder communication
- Design and architect scalable data pipelines, data models, and self-service analytics solutions using SQL, Python, BigQuery, Airflow, Visier, Looker, and Posit
- Own key data products and systems end-to-end, including design, architecture, quality, reliability, documentation, monitoring, maintenance, and continuous improvement
- Conduct rigorous analysis and translate findings into insights and recommendations
- Identify opportunities to simplify processes, improve data quality, reduce manual work, and scale solutions
- Provide technical guidance and mentorship to team members
- Contribute to team standards, best practices, and a culture of learning and high-quality execution
Requirements
What you’ll need- BS/BA degree in a technical field or research-based social science field
- 6+ years of relevant experience in business intelligence engineering, analytics engineering, data engineering, quantitative analysis, or a related field; alternatives include a Master’s degree plus 5+ years of post-grad experience or a PhD plus 2+ years of post-grad experience
- 6+ years of experience with SQL or similar query languages
- Development experience in at least one object-oriented or scripting language such as Python, Java, or Scala; Python preferred
- 3+ years of experience designing and building dashboards, reports, and end-user analytics solutions
- Advanced SQL and Python skills
- Experience designing and building reliable data pipelines, data models, and analytics solutions
- Deep understanding of data warehouses, dimensional and semantic modeling, ETL/ELT pipelines, analytics layers, visualization tools, and self-service data products
- Experience applying descriptive analysis, regression, correlation, time series analysis, and hypothesis testing using Python or R
- Ability to translate business questions into metrics, analytical requirements, data solutions, and actionable insights
- Experience designing reliable, scalable data architectures
- Strong judgment regarding data quality, privacy, security, governance, and responsible use of People data
- Preferred: MA/MS, Google Cloud Platform, BigQuery, Airflow, agile development, Git, People data, and Visier
- Ability to work in an office 4+ days per week
Benefits
Comp & perks- Paid parental leave
- Comprehensive medical coverage
- Emotional and mental health support programs
- Compensation packages including equity in the form of RSUs
- Default Together approach with office-based work and dynamic collaboration
