Basic Information

Job Name
Data Scientist III - Mexico

Country
Mexico

State
Ciudad de Mexico

City
Mexico City

Date Published
12-Jun-2026

Job ID
47109

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 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 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/HubSpot, Zendesk, Gainsight, Netsuite.

CA-DNP

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 after reading the above, You’re unsure if you meet the qualifications of this role but are deeply excited about BMC and this team, we still encourage you to apply! We want to attract talents from diverse backgrounds and experience to ensure we face the world together with the best ideas!

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.

Min salary
825,000

Max salary
1,375,000