Senior Data Analyst

Senior Data Analyst

At BMC, trust is not just a word; it's a way of life! BMC empowers nearly 80% of the Forbes Global 100 to accelerate business value, faster than humanly possible. Our industry-leading portfolio unlocks human and machine potential to drive business growth, innovation, and sustainable success. BMC connects people, systems, and data that power the world’s largest organizations so they can seize a competitive advantage.

We are seeking a Senior Data Analyst to lead critical analyses and measurement frameworks across the GTM business. This is a high-impact individual contributor role for someone who can own ambiguous problem spaces, build trusted executive-level insights, and elevate analytics rigor, metric consistency, and storytelling.

This role will partner with senior stakeholders across GTM (Sales/RevOps/CS), Product, and Finance to define success metrics, perform source system discovery, build scalable data solutions, reporting and insight engines, and drive measurable outcomes. The role involves close collaboration with Data Engineering and Analytics Engineering, with hands-on analysis (SQL), source system discovery, functional and technical requirements, UI design, enablement, and insight delivery.

Key Responsibilities

• Lead High-Stakes, Ambiguous Analytics (Hands-On): Own end-to-end analytics for strategic initiatives including growth, retention, renewals, pipeline health, product adoption, and customer outcomes. Translate ambiguous business questions into crisp analytical plans: hypothesis → data needs → method → results → action. Deliver executive-ready insights with clear recommendations, tradeoffs, and measurable impact.
• Define Metrics, Measurement, and Decision Systems: Establish and enforce consistent definitions for core KPIs such as ARR/NRR, churn, pipeline coverage, expansion, activation, retention, and usage. Design measurement approaches for complex motions like multi-touch attribution, cohort retention, funnel conversion, and renewals risk. Build scalable scorecards and operating cadences for weekly business reviews, monthly ops reviews, and QBR packs.
• Build Scalable Analytics Assets: Partner with Analytics Engineering / Data Architecture to translate logic into durable datasets, marts, and semantic definitions. Create reusable analytical frameworks, including cohort and segmentation models, driver trees and decomposition, leading indicator dashboards, and alerting definitions. Ensure analysis is repeatable, versioned, and production-minded.
• Advanced Analytics & Causal Thinking: Diagnose drivers and root causes using variance analysis, decomposition, pathway analysis, and survival/retention patterns. Gain exposure to building pragmatic forecasting/what-if models for pipeline scenarios, renewal outcomes, and capacity planning.
• Executive Storytelling & Stakeholder Leadership: Act as a thought partner to leaders, shaping decisions rather than just reporting numbers. Develop crisp narratives that connect metrics to actions: “what happened, why, what to do next.” Raise analytics standards through mentorship, templates, review processes, and best practices.

Required Qualifications

• 8+ years in analytics, preferably in Lead/Senior Analyst roles within B2B SaaS or subscription businesses.
• Expert-level SQL (complex joins, window functions, performance-aware querying) and comfort working directly in Snowflake or similar database environments.
• Proven track record driving measurable outcomes through analytics in areas such as growth, retention, pipeline, efficiency, and product adoption.
• Strong experience with data modeling concepts (grain, dimensions/facts, metric logic) and partnering to productionize analytics.
• Proven experience driving source-system discovery and converting findings into clear data requirements/specs (entities, fields, grain, rules, SLAs) for Data Engineering to build the data model and pipelines.
• Proven experience with BI tools (Tableau, Power BI, Looker) and building high-trust dashboards.
• Strong experience with a scripting language like Python is desirable.
• Demonstrated ability to influence senior stakeholders with clear recommendations and strong business judgment.
• Strong communication skills, including executive storytelling, clear written narratives, and concise visuals.
• Business acumen: understanding of SaaS economics and how decisions translate to outcomes.
• Systems mindset: ability to build repeatable measurement and scalable analytics, not fragile one-offs.
• Experience implementing KPI governance, metric catalogs, or semantic layers.
• Experience with SaaS GTM systems and data sources: Salesforce, Marketo/HubSpot, Zendesk, Gainsight, Netsuite.

Our Commitment to You

BMC’s culture is built around its people. We have 6000+ brilliant minds working together across the globe. You won’t be known just by your employee number, but for your true authentic self. BMC lets you be YOU!

If you’re unsure if you meet the qualifications but are deeply excited about BMC and this team, we encourage you to apply. We want to attract talents from diverse backgrounds and experiences.

BMC is committed to equal opportunity employment regardless of race, age, sex, creed, color, religion, citizenship status, sexual orientation, gender, gender expression, gender identity, national origin, disability, marital status, pregnancy, disabled veteran or status as a protected veteran. If you need a reasonable accommodation for any part of the application and hiring process, visit the accommodation request page.

BMC Software maintains a strict policy of not requesting any form of payment in exchange for employment opportunities, upholding a fair and ethical hiring process.

The annual base salary range represents the low and high end of the BMC salary range for this position. Actual salaries depend on a wide range of factors including skill sets, experience and training, licensure and certifications, and other business and organizational needs. The range listed is just one component of BMC's employee compensation package. Other rewards may include a variable plan and country-specific benefits. At BMC, it is not typical for an individual to be hired at or near the top of the range. A reasonable estimate of the current range is $100,950 - $168,250.

Key skills/competency

• Data Analysis
• SQL
• Snowflake
• Business Intelligence (BI)
• Data Modeling
• SaaS Metrics
• Executive Storytelling
• Python
• Stakeholder Management
• B2B SaaS