AI-Driven Product Data Analyst

StoneX Group Inc.; Bogotá; Presencial; COP 70.000.000 - 110.000.000; Jornada completa

Descripción de la vacante

StoneX Group Inc. is seeking a mid‑level Product Data Analyst to turn complex, multi‑source data into actionable product insights. You will work in a data ecosystem spanning product events, CRM, data warehouses, and third‑party tools, driving AI‑assisted analytics and improved user experiences.

Responsibilities include building dashboards, defining KPI metrics, and collaborating with UX, PM, and engineering to deliver data‑driven product improvements in a global setting.

Formación

• 4–6 years in Product Analyst, Data Analyst, Product Data Analyst, or similar role within international organizations.
• Experience in a large data ecosystem with multiple heterogeneous sources.
• Strong commitment to using AI as a regular and meaningful part of day‑to‑day work.
• Applied experience using AI tools such as LLMs, Copilot, Claude, ChatGPT, notebook assistants, generative AI tools, or agentic AI workflows.
• Ability to critically evaluate AI‑generated outputs, validate findings, refine prompts, and apply human judgment.
• Proven track record delivering insights and product improvements in a fast‑paced, cross‑functional environment.
• Background in SaaS, fintech, e‑commerce, or similarly data‑intensive industries.
• Strong SQL and Python knowledge.
• Proven experience implementing, analyzing, and managing product analytics platforms such as Mixpanel, Pendo, GA4, Hotjar, Contentsquare, DataDog, or similar tools.
• Deep understanding of user behavioral analytics, customer journey mapping, funnel analysis, retention analysis, and product metrics.
• Ability to design and interpret A/B and multivariate tests, including hypothesis generation and post‑test evaluation.
• Familiarity with UX Research methods and connecting qualitative insights with quantitative data.
• Strong understanding of AARRR, HEART, and North Star Metric frameworks.
• Excellent collaboration skills with Product, PMO, Developers, UX, Data, and business stakeholders.
• Strong communication skills for technical and non‑technical audiences.
• Professional‑level English proficiency, written and spoken.

Responsabilidades

• Connect, blend, and analyze data from multiple sources to build a holistic view of user behavior and product performance.
• Use AI as a core part of the analytics workflow, including AI‑assisted querying, data summarization, pattern detection, anomaly identification, report generation, and insight synthesis.
• Identify opportunities to use AI, automation, and agentic workflows to reduce manual reporting and improve time‑to‑insight.
• Own the implementation and optimization of product analytics instrumentation across tools such as Mixpanel, Pendo, GA4, Hotjar, Contentsquare, and similar platforms.
• Build and maintain self‑serve dashboards, AI‑assisted reports, and interactive analytics views for real‑time visibility into feature adoption, retention, funnels, cohorts, and user journeys.
• Implement and maintain quantitative product metrics and conversion tracking aligned with user journeys, OKRs, and product strategy.
• Design automated alerting systems to detect KPI deviations, behavioral anomalies, adoption shifts, and funnel drop‑offs.
• Conduct deep‑dive behavioral analyses, including funnel analysis, time‑to‑value, cohort retention, feature stickiness, segmentation, and experimentation analysis.
• Partner with Data Engineers to ensure data integrity, govern event schemas, improve pipeline quality, and support trusted, AI‑ready data foundations.
• Combine quantitative analytics with qualitative signals, including session replays, UX research findings, support feedback, and customer interviews.
• Apply responsible AI practices, including validation of AI‑generated outputs, protection of confidential data, bias awareness, and appropriate use of approved company tools.

Conocimientos

SQL proficiency

Python

AI tools usage

Data analysis

Cross-functional collaboration

Communication skills

English proficiency

Product analytics

Herramientas

Mixpanel

Pendo

GA4

Hotjar

Contentsquare

DataDog

Databricks

Descripción del empleo

StoneX Group Inc. is seeking a mid‑level Product Data Analyst to turn complex, multi‑source data into actionable product insights. You will work in a data ecosystem spanning product events, CRM, data warehouses, and third‑party tools, driving AI‑assisted analytics and improved user experiences.

Responsibilities include building dashboards, defining KPI metrics, and collaborating with UX, PM, and engineering to deliver data‑driven product improvements in a global setting.