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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates strong expertise in data analytics and decision intelligence, with a focus on designing automated insights and monitoring systems. Proficient in SQL and Python, with a solid understanding of business financials and the ability to influence senior stakeholders through clear narratives.
Highest-signal resume keywords
Data AnalyticsSQL ProficiencyPython (Pandas)Automated Insight DesignBusiness Financials Knowledge
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 ModellingETLSelf-Service Data ProductsData Quality GovernanceAutomated Monitoring Systems
Soft Skills
Exceptional CommunicationCollaboration SkillsInfluencing Without AuthoritySimplifying ComplexityHigh Learning Agility
Tools & Technologies
Google SuiteConfluenceJiraLookerGenAI
Industry Keywords
B2B EngineeringDecision IntelligencePricing ProjectsMonetization ProjectsRisk Signals
Tech Stack
Tools & technologiesETLPandasPythonSQL
About the role
Key responsibilities & impact- Partner autonomously with Product leaders, including Directors and above, to accelerate decisions and reduce manual overhead
- Design, build, and operate signals, dashboards, and automated insights for direct leader consumption
- Own data quality and trust through accurate, traceable numbers and documented calculation logic
- Make roadmap progress, goal execution, and risk emergence monitoring self-serviceable
- Partner with Engineering on upstream instrumentation and define relevant data requirements
- Translate operational data into decision-ready narratives for senior leadership forums
- Challenge Product Managers, Engineering Managers, and senior leaders with evidence
- Provide insights supporting investment and capacity trade-offs using historical productivity and capacity data
- Partner with Delivery Operations and Organizational Effectiveness to integrate intelligence into operating rhythms and leadership narratives
- Roll out AI and agentic workflows that trigger alerts and action requests
- Automate governance and reporting workflows with measurable ROI in reclaimed hours
- Set standards and best practices for AI-assisted analytical work
Requirements
What you’ll need- 5–7 years in data/analytics, decision intelligence, analytics engineering, or a similar role with direct engagement with senior stakeholders
- Ideally experience in fast-paced B2B Engineering/Product environments
- Strong hands-on data skills: performant SQL and Python (Pandas)
- Experience with data modelling, pipelines/ETL, and building self-service data products
- Ability to design automated insight and monitoring systems with rigorous data quality and governance
- Exceptional communication and collaboration skills
- Ability to influence without authority, simplify complexity, and translate information into clear narratives
- Ability to confidently challenge senior stakeholders with evidence
- Knowledge of business financials, including ROI, cost, and margin
- Ability to distinguish genuine risk signals from noise
- Ability to operate autonomously and exercise judgment on ambiguous mandates
- Proficiency in collaborative and BI tooling, including Google Suite, Confluence/Jira, and Looker
- Experience using GenAI and agentic workflows as a force multiplier
- High learning agility and a growth mindset
- Prior experience in pricing and monetization projects is a plus
Benefits
Comp & perks- Training, connections, and one-on-one time with the manager during the first 30 days
- Virtual or onsite colleague shadowing depending on work location
- Access to extensive company and team information
- Equal opportunity workplace
- Diverse and inclusive work environment