Role Overview

Partner with Product Managers to influence roadmap priorities through structured problem framing and opportunity sizing.
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.
Identify long-term analytical needs and proactively set the direction for how the product should be measured.
Own the metric hierarchy for the product domain (north-star, input metrics, counter-metrics, diagnostic metrics).
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).
Evaluate experiment readiness, calculate required sample sizes, and estimate expected effects.
Translate experiment outcomes into clear recommendations for product and business stakeholders.
Mentor and support junior analysts; set standards for analytical depth, clarity, and rigor.
Act as the analytical owner in cross-functional initiatives, ensuring alignment on metrics and success criteria.
Influence how PMs and engineers adopt analytical best practices, instrumentation, and metric stewardship.
Communicate trade-offs, risks, and insights to both technical and non-technical audiences with precision.
Partner with Analytics Engineering to ensure models, marts, and pipelines meet quality standards and SLAs.
Ensure the product area has a batteries-included analytical environment—well-documented, reliable, and easy to use.
Maintain data lineage, definitions, and documentation to minimize ambiguity and reduce analytical debt.

Requirements

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.
Familiarity with event-based instrumentation and telemetry platforms.
Competence with data visualization tools and dashboards (Looker, Metabase, etc.).
Strong product intuition; ability to identify friction, opportunity, and causal drivers in user behavior.
Ability to articulate ambiguous or complex insights through structured narratives.
Experience diving into systems, logs, metrics, and data models.
Ability to operate autonomously and drive analytical strategy for a product domain.
Relentless ownership and high standards.
Customer-obsessed and curious about system behavior.
Comfortable making decisions under ambiguity and imperfect data.
Proactive, not reactive: anticipates analytical needs before they surface.

Tech Stack

Cloud
SQL

Benefits

Competitive salary
Flexible working hours
Professional development budget
Home office setup allowance
Global team events

Tala

Open Positions (1)

Data

Senior Product Analyst