Remote Product Data Analyst - Remote LATAM

Description:

• The mission of this role is to act as the analytical partner for the Product team leading Workana’s marketplace.
• This includes supporting both growth initiatives and the development of key modules within the ecosystem.
• A strong data perspective will be essential to enable a continuous cycle of discovery, experimentation, validation, and iteration.
• This role is not about answering questions; it's about helping the team ask better ones, faster.
• It is a hands-on, impact-oriented role, focused on building solutions together with the product team.

Requirements:

• Support product discovery with exploratory analyses and actionable hypotheses.
• Define and track key product metrics such as adoption, conversion, drop-off, and engagement.
• Design, analyze, and interpret product experiments (A/B tests) to validate business hypotheses.
• Identify behavioral patterns that help the team iterate or pivot quickly.
• Build dashboards and interactive reports to enable self-service access to insights within the squad.
• Collaborate with the Head of Product, PMs, POs, UX Designers, and Engineering Managers to prioritize initiatives based on data opportunities.
• Contribute to data-driven solutions for onboarding, segmentation, matching, pricing, and more.
• Strong SQL skills for advanced self-service analysis, including cohorts, window functions, CTEs, and dynamic segmentation.
• Experience designing and analyzing A/B tests with statistical rigor, including a solid grasp of applied statistics such as hypothesis testing, confidence intervals, and significance thresholds.
• Familiarity with data visualization tools like Power BI, Looker, or Metabase.
• Bonus: experience using product analytics tools like Amplitude, Mixpanel, or GA4.
• Bonus: knowledge of Python or R for ad-hoc analysis or advanced data manipulation.
• Bonus: experience with AI tools that enhance analysis or decision-making.
• High adaptability to navigate ambiguity and adjust course based on data insights.
• A builder mentality, bringing ideas, testing hypotheses, and improving processes.
• A collaborative spirit, valuing autonomy while eager to share learnings and contribute to team growth.
• A proactive mindset, taking initiative to identify patterns and create momentum from curiosity.
• Human-first thinking, balancing analysis with empathy and good judgment.
• Curiosity for new tools, especially AI, to accelerate learning and discover value through data.

Benefits:

• The opportunity to make a significant impact on product teams by enabling faster, better decision-making.
• The chance to validate hypotheses with reliable data and design clear experiments.
• The ability to proactively uncover insights that influence strategy, prioritization, and user experience.
• The promotion of a culture of data accessibility, enabling decisions rather than bottlenecking them.
• Being recognized as a strategic partner within the squad, with contributions that drive real impact.