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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in analytics engineering, focusing on developing scalable analysis pipelines and tools while ensuring data quality and discoverability. Proficient in SQL and Python, with a strong ability to collaborate across teams to translate partner needs into actionable insights.
Highest-signal resume keywords
Analytics EngineeringSQLPythonETL/ELT PipelinesAI Utilization
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data SolutionsData WorkflowsNested Data StructuresWindow FunctionsQuery OptimizationData PartitioningData ValidationTestingDocumentationMetric Definitions
Soft Skills
High IntegrityOwnershipAccountabilityCollaborationCommunication
Tools & Technologies
Workflow OrchestrationDAG DependenciesData Science ToolsBusiness Intelligence Tools
Industry Keywords
Data-Driven EnvironmentProduct DevelopmentData QualityData DiscoverabilityFast-Paced Environment
Tech Stack
Tools & technologiesETLPythonSQL
About the role
Key responsibilities & impact- Develop and document instrumentation and experimentation standards
- Partner with product engineering teams to apply standards to priority product development work
- Build and improve scalable analysis pipelines and tooling
- Create tools and processes enabling independent access to trusted datasets, insights and metric definitions
- Identify data quality and discoverability gaps and advocate for targeted improvements
- Maintain documentation for tools, datasets, metrics and operating practices
- Partner with Product, Engineering, Data Science, Data Engineering and Business Intelligence teams to communicate actionable insights and inform product improvements
- Use AI to accelerate analysis, prototyping and iteration while verifying correctness, quality and responsible use
Requirements
What you’ll need- Minimum of 4 years of experience delivering analytics engineering or data solutions in a fast-paced, data-driven environment
- Experience using SQL and Python, R or a comparable programming language with large, high-dimensional datasets
- Experience with nested data structures, window functions, query optimization and data partitioning
- Experience building and operating data workflows, including workflow orchestration, ETL/ELT pipelines and DAG dependencies
- Experience translating open-ended partner needs into technical objectives and collaborating across Product, Engineering, Data Science, Data Engineering and Business Intelligence teams
- Demonstrated ability to use AI to improve speed and quality in engineering workflows
- Ability to critically evaluate and verify AI-assisted work through testing, data validation, source-checking or peer review
- High integrity, ownership and accountability for sensitive data and deliverables
- Bachelor’s degree in Computer Science, Statistics, Mathematics or a related discipline, or equivalent experience
Benefits
Comp & perks- Equity eligibility
- Flexible working model (PinFlex)
- In-person collaboration 1–2 times per month
- Equal opportunity and accommodation support