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Senior Data Analyst
Centerfield. Analyze lead and call funnels, campaign performance, client conversion, revenue, and costs to identify growth and efficiency opportunities .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analytics and business intelligence, with strong capabilities in SQL, Python, and dashboard creation using Looker or similar tools. Proven ability to analyze performance metrics, communicate findings effectively, and manage complex analytical projects.
Highest-signal resume keywords
SQL QueryingLooker Dashboard DevelopmentData AnalysisStakeholder ManagementPython Automation
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 AnalyticsBusiness IntelligenceSQLExcelLookerTableauPower BIBigQueryLookMLPerformance Analysis
Soft Skills
CommunicationStakeholder ManagementAttention to DetailJudgmentKnowledge Sharing
Tools & Technologies
SQLPythonLookerTableauPower BIBigQueryLookML
Industry Keywords
InsurancePerformance MarketingLead GenerationMarketplace AnalyticsContact Center Operations
Tech Stack
Tools & technologiesBigQueryPythonSQLTableau
About the role
Key responsibilities & impact- Analyze lead and call funnels, campaign performance, client conversion, revenue, and costs to identify growth and efficiency opportunities
- Investigate performance changes, distinguish underlying drivers from normal variation, and recommend actions with clear estimates of business impact
- Build and maintain SQL queries and Looker dashboards for reliable, actionable reporting
- Partner with stakeholders to define KPIs, translate business needs into analytical requirements, and prioritize work based on impact
- Work with Data Engineering to resolve data discrepancies, validate reporting logic, and document metric definitions and assumptions
- Automate recurring reporting and performance monitoring using SQL, Python, and appropriate AI tools, with validation of outputs
- Present concise findings and recommendations
- Follow through with business owners
- Support other analysts through reviews and knowledge sharing
Requirements
What you’ll need- 5+ years of experience in data analytics, business intelligence, or a related role
- Demonstrated ownership of complex analytical projects
- Strong SQL skills, including querying, filtering, aggregating, and joining data
- Experience building dashboards in Looker, Tableau, Power BI, or a similar platform
- Strong Excel skills
- Ability to analyze funnels, segmentation, trends, and experiments and connect findings to revenue, profitability, or operational outcomes
- Strong communication and stakeholder management skills
- Ability to explain technical findings to nontechnical audiences
- Sound judgment and attention to data accuracy
- Ability to manage competing priorities independently
- Bachelor's degree in a quantitative or related field, or equivalent practical experience
- Experience in insurance, performance marketing, lead generation, marketplace analytics, or contact center operations
- Experience with BigQuery, LookML, and Python for analysis and reporting automation
Benefits
Comp & perks- Competitive salary + generous quarterly bonus
- Unlimited PTO
- Industry-leading medical, dental, and vision plans
- Generous parental leave
- 401(k) company match plan – fully vested day 1
- Award-winning culture and team spirit
- Paid charity and volunteer days
- Career growth and promotion opportunities