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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in product analytics, including metric trees, experimentation, and user activity analysis, while effectively communicating insights to diverse stakeholders. Proficient in SQL, Python, and data transformation using dbt, with a strong focus on event-based tracking and behavioral analytics tools.
Highest-signal resume keywords
Product Analytics FundamentalsSQL ProficiencyData Transformation with dbtExperience with Behavioral Analytics ToolsEvent-Based Tracking Data
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 AnalyticsAnalytics EngineeringData ScienceMetric TreesExperimentationUser Activity AnalyticsCustomer SegmentationData ModellingPython CodingEvent Instrumentation
Soft Skills
Clear CommunicationCollaboration
Tools & Technologies
AmplitudeHeapMixpanelLLMsAI Tooling
Industry Keywords
B2B CompaniesGTMCustomer SuccessRevOpsProduct Marketing
Tech Stack
Tools & technologiesPythonSQLGo
About the role
Key responsibilities & impact- Own product analytics across different product lines
- Define and track success metrics and targets aligned with Product and Company strategy
- Craft data stories that guide product leaders in critical decisions
- Collaborate with engineers to develop reusable, scalable data products
- Define event instrumentation and taxonomy practices for event-driven architecture and self-service analytics
- Enable Product and GTM teams on event instrumentation and insight generation
- Increase data literacy and empower teams to self-serve insights
- Evaluate and apply LLMs and AI tooling to accelerate query generation, dashboard building, and insight synthesis
- Connect product usage to commercial outcomes such as win/loss, expansion, and renewal
- Scale repeatable analyses and automations
- Partner with Product Managers, Designers, Engineering, and Go-to-Market teams
Requirements
What you’ll need- 5+ years of experience in a data analytics, analytics engineering, or data science role
- Significant experience directly supporting product teams in B2B companies
- Expertise in product analytics fundamentals, including metric trees, experimentation, user activity and retention analytics, funnels, and customer segmentation
- Excellent SQL skills
- Strong experience using dbt for data transformations
- Experience coding in Python
- Strong experience with data modelling for scale and reusability
- Demonstrated experience using current LLM offerings to improve workflows or results, with concrete examples and measurable impact
- Experience working with event-based tracking data for web or mobile
- Hands-on experience with a behavioral analytics tool such as Amplitude, Heap, or Mixpanel
- Ability to communicate findings succinctly and clearly to varied stakeholders
- Relevant cross-functional project experience with GTM, Customer Success, RevOps, or Product Marketing
- Must be based in and authorized to work in the UK, Ireland, or Portugal
Benefits
Comp & perks- Flexible hours
- 33 vacation days
- Access to Open Up
- Corporate discounts
- Virtual events
- Collaborative team activities
- Opportunities for local meet-ups
- Tech equipment
- Referral bonuses
- Dog-friendly HQ