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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Proficient in SQL for data analysis and reporting, with a strong understanding of data modeling practices and experience in building interactive dashboards. Capable of translating business questions into actionable insights while collaborating effectively with cross-functional teams.
Highest-signal resume keywords
SQL ProficiencyData Modeling PracticesDashboard Development in HexAnalytical Problem-SolvingExperience with BI Tools
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
SQLData ModelingDashboard DevelopmentData AnalysisAutomating TasksVariance InvestigationMetric DefinitionData Quality ImprovementFinancial ReportingAnalytical Deliverables
Soft Skills
Attention to DetailDiagnostic SkillsSound JudgmentCollaborationStakeholder Communication
Tools & Technologies
HexClaude CodeCursorDbtSalesforceStripeNetSuite
Industry Keywords
Annual Recurring Revenue (ARR)RetentionSubscriptionsCustomer CohortsFinance DataSales DataGo To Market (GTM) Data
Tech Stack
Tools & technologiesSQLGo
About the role
Key responsibilities & impact- Build and iterate on interactive dashboards in Hex for financial and business performance
- Translate business questions into self-serve reporting and actionable analysis across ARR, paying customer accounts, retention, subscriptions, and related metrics
- Contribute to trusted data models supporting new pricing approaches, product lines, and evolving business models
- Support month-end, quarter-end, and financial reporting cycles by investigating variances, identifying drivers, and explaining changes
- Automate recurring manual and spreadsheet-based tasks using AI skills and workflows
- Partner with Analytics Engineering to productionize reporting sources, improve data quality, and maintain clear metric definitions
- Present work to stakeholders, incorporate feedback, and collaborate with Finance, Sales, Marketing, RevOps, and Data and Analytics teams
- Report to the Senior Manager, Financial Data Analytics
Requirements
What you’ll need- Experience in analytics or a related data role
- Proficiency in SQL, including joins, common table expressions (CTEs), window functions, and analysis of large datasets
- Understanding of data modeling practices, including fact and dimension tables and star schemas
- Ability to translate stakeholder questions into analytical deliverables, gather requirements, and improve dashboards based on feedback
- Strong diagnostic and problem-solving skills, sound judgment, and careful attention to detail
- Experience with Finance, Sales, or Go To Market (GTM) data is a plus
- Familiarity with annual recurring revenue (ARR), retention, subscriptions, or customer cohorts is a plus
- Experience with BI or AI tools such as Hex, Claude Code, Cursor, or similar platforms is a plus
- Exposure to dbt and enterprise data sources such as Salesforce, Stripe, or NetSuite is valuable
- Must already be legally authorized to work in the United States or Canada; no work authorization, relocation assistance, or visa sponsorship provided
- Successful applicants must complete a background check
Benefits
Comp & perks- Health benefits
- Dental benefits
- 401(k) or RRSP retirement program
- Generous paid time off (PTO)
- Equity grant / RSU program for most employees
- Incentive programs where applicable
- Maternity and parental leave top-up programs
- Retirement matching program
- Free 1Password account
- Paid volunteer days
- Peer-to-peer recognition through Bonusly
- Remote-first work environment
- Travel for in-person engagement, including annual department-wide offsites, team meetings, and customer/industry events
- Accommodation available upon request during recruitment
