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Senior Product Analyst

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Remote from
Mexico
Salary
Undisclosed
Employment
Full Time
Experience
Senior
Published
Apply before
20 Nov 2026
Listing views
31
Application actions
1
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AI Summary

The role, at a glance.

Tala is hiring a Senior Product Analyst to guide product direction through rigorous analysis, experimentation, and metric ownership. The role partners closely with Product, Engineering, and Design to investigate user behavior, validate hypotheses, and identify growth opportunities. Key work includes defining instrumentation, building automated monitoring, conducting root-cause analysis, and interpreting A/B or multivariate tests. Candidates need 4–6 years of relevant analytics experience, expert SQL, cloud-warehouse knowledge, and strong statistical judgment. This is an autonomous, high-impact role in a remote-first fintech environment.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

4/5
EasyHard

Pace & Pressure

4/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightThe role requires advanced product analytics judgment beyond dashboarding, including experimental design, statistical-method selection, and ownership of analytical strategy. Success depends on independently translating ambiguous product questions into reliable decisions and influencing cross-functional roadmaps.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Highly competitive
$135,000
US market range (per year)$115k–$155k
AI insightThe yearly pay period is inferred from the job context; it was not explicitly stated by the employer. No employer compensation was disclosed. The yearly cadence is inferred from the senior full-time product analytics role; estimated USD annual market figures are AI estimates for the stated US analysis market, not verified employer pay.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you evaluate whether a new onboarding flow improves activation?

I would first define activation, the eligible population, and guardrail metrics such as completion time, error rate, and early retention. I would run a randomized experiment with a pre-specified primary metric, assess statistical significance and practical impact, and segment results to identify heterogeneous effects without overinterpreting small samples.

Describe how you would create a tracking plan for a new product feature.

I would start with the product decision the team needs to make and map the user journey, key events, properties, identities, and success metrics. I would document event definitions and quality checks, align the schema with Engineering, validate implementation in a test environment, and monitor data completeness after release.

What steps do you take when a core funnel metric suddenly declines?

I first confirm that the movement is real by checking data freshness, instrumentation changes, and denominator definitions. I then break the funnel down by platform, version, geography, acquisition channel, and cohort, correlate the timing with releases or operational events, and communicate both the likely cause and confidence level with recommended next actions.

When would you use CUPED in an experiment?

I would use CUPED when reliable pre-experiment behavior is correlated with the outcome metric and can reduce variance. It is particularly useful for metrics with noisy user-level outcomes, provided the covariate is measured before treatment assignment and the adjustment is clearly documented.

How do you ensure analysis influences a product roadmap rather than becoming a reporting exercise?

I frame work around a concrete decision, hypothesis, and expected action before starting the analysis. I present the evidence as a concise narrative with trade-offs, uncertainty, and a recommendation, then follow through with stakeholders to measure whether the decision produced the intended outcome.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
Opportunity details

About this role.

About Tala

Tala is the AI-native credit infrastructure that connects global capital to the global majority. We combine proprietary risk intelligence with an expanding network of capital and distribution partners to power credit access at scale. To date, Tala has distributed more than $9 billion in capital to more than 14 million customers across Africa, Latin America, and Asia, building the definitive contextual dataset on thin-file borrowers in emerging markets. Tala is now converting that foundation into shared infrastructure that partners, capital providers, and ecosystems can build on.

The company has been named to the Fortune Impact 20 list, CNBC’s World’s Top Fintech Companies twice, CNBC Disruptor 50 for five years, and Forbes’ Fintech 50 list for ten years running.

Given the global nature of our team, we operate on a remote-first approach with office hubs in Santa Monica, CA (HQ); Nairobi, Kenya; Mexico City, Mexico; Manila, the Philippines; and Bangalore, India.

Most Talazens join us because they connect with our mission. If you are energized by the impact you can make at Tala, we’d love to hear from you!

The Role

The Senior Product Analyst is a strategic partner to Product, Engineering, and Design, responsible for shaping product direction through rigorous analysis, strong product intuition, and deep ownership of metrics, instrumentation, and experimentation. This role combines analytical depth with product thinking, enabling teams to understand user behavior, validate hypotheses, identify growth opportunities, and make high-quality decisions at speed. The Senior Product Analyst operates autonomously, leads analytical strategy for their product area, and ensures that the product team has a robust, batteries-included analytical foundation.

What You’ll Do

  • Drive end-to-end analytical discovery: define questions, shape hypotheses, perform root-cause analysis, and identify second-order effects
  • Produce high-context, narrative-driven analysis that shapes product decisions—not just dashboards or metrics reporting
  • Design tracking plans and instrumentation schemas; work with engineering to ensure correct implementation
  • Implement automated alerting and monitoring to surface health issues, funnel breaks, outliers, and behavior shifts in real time
  • Lead the design, execution, and interpretation of experiments (A/B tests, multivariate tests, staggered rollouts)
  • Select and apply appropriate statistical techniques (frequentist/Bayesian, CUPED, time-series methods).

What You’ll Need

  • 4-6 years in product analytics, data science, or growth analytics with extensive product-team experience.
  • Proven track record influencing product roadmaps with evidence-based insights.
  • Experience in high-velocity experimentation environments (consumer apps, fintech, SaaS, marketplaces).
  • Expert SQL; fluency with Snowflake or equivalent cloud data warehouses.
  • Strong experimental design and statistical analysis skills.
  • Competence with data visualization tools and dashboards (Looker, Metabase, etc.).

Compensation

Additional Information

Our vision is to build a new financial ecosystem where everyone can participate on equal footing and access the tools they need to be financially healthy. We strongly believe that inclusion fosters innovation and we’re proud to have a diverse global team that represents a multitude of backgrounds, cultures, and experience. We hire talented people regardless of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status.

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

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