Senior Business Intelligence Analyst – Sales Operations - USA

BMC Software empowers nearly 80% of the Forbes Global 100 to accelerate business value. As a Senior Business Intelligence Analyst – Sales Operations, you'll build scalable analytics solutions that support various business functions and help define the future of analytics at BMC.

Responsibilities:

• Design and deliver executive-grade Tableau dashboards, KPI frameworks, and analytics products that drive business performance
• Build scalable self-service analytics capabilities that empower teams with trusted, actionable insights
• Develop and optimize analytics-ready data models within Snowflake to support a wide range of GTM use cases
• Partner directly with Sales, Renewals, Customer Success, and Services leaders to translate business needs into impactful data solutions
• Establish and promote data governance, data quality, security, and row-level access controls across reporting assets
• Help shape BMC's AI-enabled analytics vision by creating AI-ready semantic layers and governed datasets that support natural language querying and automated insights
• Drive adoption of modern analytics capabilities by combining dashboards, governed data products, and AI-assisted exploration
• Mentor analysts and champion best practices in data modeling, visualization, performance optimization, and storytelling
• Influence strategic decision-making by delivering insights that improve forecasting accuracy, pipeline visibility, and revenue performance

Requirements:

• 5+ years of experience in Business Intelligence, Sales Operations, Analytics, or related data-focused roles
• Advanced expertise in Tableau, including dashboard development, visualization best practices, performance tuning, and executive reporting
• Strong hands-on experience with Snowflake or comparable cloud data platforms
• Advanced SQL skills with proven experience in data modeling, query optimization, and scalable dataset design
• Experience developing self-service analytics solutions and governed reporting environments
• Strong proficiency in Excel for analysis, modeling, validation, and business insights
• Knowledge of data governance, access controls, security frameworks, and Row-Level Security (RLS)
• Demonstrated ability to influence business stakeholders and translate strategic requirements into technical solutions
• Strong analytical, problem-solving, communication, and stakeholder management skills
• Experience working cross-functionally with technical and business teams to deliver measurable outcomes
• Agentic AI and AI-powered analytics experiences
• Semantic layer design and natural language query enablement
• Salesforce, Gainsight, and SaaS subscription business analytics
• Financial and recurring revenue reporting frameworks
• ETL/ELT automation and modern data engineering practices
• Enterprise-scale KPI strategy and executive performance measurement frameworks
• Advanced data product management and analytics product ownership
• AI governance, policy-driven data access, and trusted AI analytics ecosystems
• Leadership and mentoring capabilities within a high-performing analytics organization
• Emerging technologies and best practices in next-generation business intelligence and self-service analytics