**Basic Information**:
- Job Name
- Data Scientist III - Mexico
- Country
- Mexico
- State
- Ciudad de Mexico
- City
- Mexico City
- Date Published
- 12-Jun-****
- Job ID
- *****
- Travel
- You may occasionally be required to travel for business
- Looking for details about our benefits?
**Description and Requirements**:
- Remote: #LI-Remote
- BMC empowers nearly 80% of the Forbes Integral 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 does this in a simple and optimized way by connecting people, systems, and data that power the world's largest organizations so they can seize a competitive advantage.
**Senior Data Analyst**
**Location**: Mexico Remote
- We are seeking a Data Analyst to lead the most critical analyses and measurement frameworks across the GTM business.
This will be a high-impact individual contributor role for someone who can own ambiguous problem spaces, build trusted executive-level insights, and raise the bar for 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.
This role will work closely with Data Engineering and Analytics Engineering, is highly hands-on in 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 (e.g., growth, retention, renewals, pipeline health, product adoption,



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 (ARR/NRR, churn, pipeline coverage, expansion, activation, retention, usage).
- Design measurement approaches for complex motions (multi-touch attribution, cohort retention, funnel conversion, renewals risk).
- Build scalable scorecards and operating cadences (weekly business review, monthly ops review, QBR packs).
**Build Scalable Analytics Assets (Not Just One-Offs)**
- Partner with Analytics Engineering / Data Architecture to translate logic into durable datasets, marts, and semantic definitions.
- Create reusable analytical frameworks:
- 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**
- Experience with Diagnose drivers and root causes (variance analysis, decomposition, pathway analysis, survival/retention patterns).
- Exposure to building pragmatic forecasting/what-if models (pipeline scenarios, renewal outcomes, capacity planning).
**Executive Storytelling & Stakeholder Leadership**




- Act as a thought partner to leaders: shape decisions, not just report 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.
- Shape
**Required Qualifications**
- 8+ years in analytics (Lead/Senior Analyst roles), ideally in B2B SaaS or subscription businesses.
- Expert-level SQL (complex joins, window functions, performance-aware querying) and comfort working directly in Snowflake or similar.
- Proven track record driving measurable outcomes through analytics (growth, retention, pipeline, efficiency, 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: executive storytelling, clear written narratives, and concise visuals.
- Business acumen: understands SaaS economics and how decisions translate to outcomes.
- Systems mindset: builds 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

📌 Senior Data Analyst (Xico)
🏢 Bmc Software
📍 Xico