Senior CLM analytics

Why this role matters 

As Senior CLM Analytics, you'll be the analytical engine behind our Customer Lifecycle Management function across three of Latin America's most dynamic markets (Mexico, Colombia & Chile). Right now, we have a growing CLM program — more campaigns, more channels, more customer segments — and the need for someone who can bring real rigour to how we measure, interpret, and act on all of it. You'll help us move from gut feel to grounded, data-driven decision-making, and your work will directly shape how we retain and grow our customer base across these three countries in LATAM. 

What success looks like 

In your first year, you'll have made a meaningful mark in three ways: 

• You've built and standardised a CLM measurement framework that makes true cross-market comparisons possible for the first time, which is something the team has already been working towards. 

• You've stood up predictive models that help us get ahead of churn and identify upsell opportunities before the window closes. 

• You've become the go-to analytical partner for CLM Marketing and Product — someone both teams proactively loop in, not just consult after the fact. 

Why this is for you 

If you're the kind of person who gets energised by a blank canvas — where the frameworks don't fully exist yet and you get to build them, this is your role! We're not looking for someone to maintain a status quo. We're looking for someone ready to define what good looks like for CLM analytics across an entire region. 

Key Responsibilities 

In this role, you will: 

• Build & standardise measurement frameworks: Design and implement CLM performance measurement across Colombia, Mexico, and Chile, enabling consistent, comparable reporting that drives regional decision-making. 
• Drive predictive modelling: Develop and maintain models for churn risk, upsell potential, and customer lifecycle stage classification — turning raw behavioural data into forward-looking intelligence. 
• Lead experimentation: Own the A/B testing and experimentation infrastructure for CLM campaigns, making optimisation faster, more rigorous, and more reliable. 
• Collaborate cross-functionally: Work closely with CLM Marketing to evaluate campaign effectiveness, and with Product to translate customer data into lifecycle triggers and personalisation strategies. 
• Shape analytics maturity: Contribute to the broader analytics maturity roadmap — defining best practices, tooling recommendations, and reporting standards for the CLM function. 
• Support multi-market operations: Manage analytical workstreams simultaneously across three markets, adapting insights to local nuances while maintaining a coherent regional view. 

Qualifications & Attributes

We're looking for someone who brings the following: 

Education 

Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field. Equivalent practical experience is equally valued. 

Experience 

4+ years in an analytics role, ideally with direct exposure to CRM, CLM, or marketing analytics. Experience working across multiple markets or countries is a strong advantage. Backgrounds in fintech, e-commerce, or telecoms are particularly relevant. 

Technical Skills 

Must-haves: 

• Advanced SQL — comfortable with complex queries, large datasets, and building reusable analytical models 
• Python — used for statistical analysis, predictive modelling, and automation 
• Campaign performance analytics — experience defining KPIs, measuring lift, and communicating results to non-technical stakeholders 
• A/B testing and experimentation methodology 

Nice-to-haves: 

• Hands-on experience with CLM/CRM platforms such as Moengage, Salesforce Marketing Cloud,Braze or Iterable 
• Familiarity with cloud data environments (Databricks,BigQuery, Snowflake, Redshift, or similar) 
• Experience with data visualisation tools (Looker, Tableau, Power BI) 

Unique Attributes 

• Thrives in fast-moving, ambiguous environments where the answer isn't always clear and the path forward needs to be built, not inherited 
• Brings a proactive mindset — surfaces insights without being asked and pushes thinking beyond the original brief 
• Comfortable operating across cultures and time zones, adapting communication style to different stakeholders 
• Fluent in Spanish and English — able to present findings and influence decisions in both languages 

Additional Resources

Learn more about Beyond ONE by exploring the following:

• Beyond ONE Values
• Beyond ONE LinkedIn Page
• How Values Build Belonging, por nuestra Group Chief People Officer

 

Our Hiring Process 

Here's what to expect when you apply: 

• Recruiter Chat: A conversation to understand your background, what you're looking for, and your expectations. We'll also walk you through the role in more detail. 
• Hiring Manager Interview: A deeper dive into your experience, how you think about CLM analytics, and how you'd approach the challenges this role presents. 
• Feedback Loop:  You'll meet with key stakeholders across CLM Marketing, Product, and Data to get a rounded view of the team and the role. There may also be a take-home technical assessment at this stage. 
• Final Interview: A closing conversation to align on vision, ways of working, and cultural fit. 

Our Commitment to Feedback 

At Beyond ONE, we believe every candidate deserves to know where they stand. If you reach the interview stage but aren't selected, we'll share clear and constructive feedback — what resonated with us and where we saw gaps. We don't see feedback as a formality; we see it as part of building honest, lasting relationships, even with people we don't end up hiring. 

Our Compensation Approach 

Our compensation reflects our commitment to fairness, performance, and regional competitiveness. We benchmark salaries against the local market in Colombia and tailor benefits to support your wellbeing and professional development. Your recruiter will walk you through the specifics during the process — we believe in full transparency, so there are no surprises.