Own the Corporate Dashboard Portfolio: Design, build, and maintain Tableau dashboards spanning key corporate metrics, with a primary focus on ARR, incremental ARR, net revenue retention (NRR), acquisition, upsell, downsell, and churn.
Deliver Analytical Insights: Go beyond reporting — proactively surface trends, anomalies, and opportunities across corporate and revenue data and present findings to senior leadership.
Partner with Stakeholders: Serve as the primary analytics point of contact for executive and cross-functional teams, translating business questions into data-driven answers.
Write and Optimize SQL: Query large-scale databases to extract, transform, and validate data for dashboards and ad hoc analyses.
Maintain Data Quality: Collaborate with data engineering to ensure upstream data pipelines produce accurate, timely inputs for reporting.
Drive Continuous Improvement: Identify opportunities to improve existing dashboards, automate manual reporting, and introduce new analytical capabilities — including AI-assisted tools where appropriate.
Document and Standardize: Establish clear definitions, data dictionaries, and best practices for corporate and ARR-related metrics across the organization.

5+ years of experience in a data analyst, business intelligence, or analytics engineering role, ideally within a SaaS or subscription-revenue environment.
Advanced SQL skills. You write efficient, well-structured queries and are comfortable working with large, complex datasets. Experience with modern cloud data platforms (e.g., Databricks, Snowflake, Redshift) is a strong plus.
Tableau expertise. You've built polished, production-grade dashboards from scratch — not just modified existing views. You understand calculated fields, LOD expressions, performance optimization, and publishing/governance workflows.
Executive communication skills. You're comfortable presenting to senior leaders, fielding tough questions, and distilling complex data into clear narratives.
Strong business acumen. You understand corporate performance metrics and SaaS fundamentals — ARR, MRR, NRR, churn, expansion, contraction — and how they connect to the broader business.
Self-directed and proactive. You take ownership of your domain, anticipate stakeholder needs, and don't wait to be told what to analyze. Strong critical thinking and intellectual curiosity are key.

Unlimited paid time off, 12 paid holidays, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
Medical, dental, and vision coverage starting on your first day
Mental health support, therapy sessions, and digital wellness tools via our Employee Assistance Program
401(k) retirement plan with company matching contributions
Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time
AirVet: 24/7 virtual veterinary care at no cost
Legal services, identity protection, and supplemental health insurance options
Tax-advantaged spending accounts for healthcare, dependent care, and commuting
Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Senior Data Analyst

Key skills