V
Veeam
Business Intelligence Analyst
Skills
SQL QueriesData EngineeringTableauPythonDatabricksData Analysis
2 months ago
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Important information
Contract type:
Permanent
Salary:
$121,400 – $310,900 / year
Location:
United States
Work mode:
Onsite
Published on:
8 August 2026
What they need
- The Business Intelligence Analyst leads complex analytics initiatives and partners closely with stakeholders to align analytics with business objectives
- You’ll foster key working relationships with business stakeholders across Sales, Operations, and Product, partner with our Data Engineering and Data Platform teams, and join a team of talented Analytics and Reporting peers
- Success in this role is defined by your ability to deliver dashboards and analyses that are accurate, trusted, and adopted by stakeholders, and metrics that are consistently defined and aligned to enterprise standards
- Lead complex, cross-functional analytics initiatives
- Solve ambiguous analytical problems independently
- Partner with stakeholders to align analytics to business strategy
- Mentor Junior and Associate Analysts
Benefits
- Unlimited paid time off, plus 3 global VeeaMe Days for self-care
- Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents
- Medical, dental, and vision coverage from day one
- Mental health support, therapy sessions, and digital wellness tools via SupportLinc EAP
- Fertility, adoption, and surrogacy support through Maven, plus paid volunteer time
- 401(k) retirement plan with matching contributions up to annual limits
- Legal services, identity protection, and supplemental health insurance options
- AirVet: 24/7 virtual veterinary care at no cost
- Tax-advantaged spending accounts for healthcare, dependent care, and commuting
- Professional training and education, including courses and workshops, internal meetups, and unlimited access to our online learning platforms (LinkedIn Learning, Athena, O’Reilly) and mentoring through our MentorLab program- Statistics: Regression concepts and analytical rigor
- Data Modeling Awareness: Strong understanding of grain and joins
- Databricks: Confident querying and collaboration with Data Engineering
- Python: Data analysis and validation scripts
- 5–7+ years of experience in business intelligence, analytics, or related disciplines, including ownership of complex stakeholder-facing analytics. Equivalent experience and demonstrated capability may be considered in place of years of experience
- Tableau: Advanced dashboard design and optimization
- Bachelor’s degree in a relevant field or equivalent practical experience
- Tableau Prep: Complex, reusable data flows
- SQL: Advanced query design, validation logic, and performance tuning
- Strong analytical judgment and constructive pushback
- Ownership of data quality and change impacts
- Ability to frame insights in business terms
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