Data Product Analyst

Job not on LinkedIn

September 3

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Logo of Workana

Workana

HR Tech • Marketplace • Recruitment

Workana is a leading platform in Latin America that connects businesses with remote talent across various disciplines. With over a decade in the market, Workana specializes in providing businesses with pre-selected and certified developers and freelancers for specific time periods or project-based tasks. The platform supports hiring in diverse fields such as IT & Programming, Design & Multimedia, Writing & Translation, and more, offering payment flexibility in local currencies or USD. Workana ensures satisfaction with protected payments and a satisfaction guarantee, aiming to grow businesses quickly and sustainably by leveraging the best remote talent available.

51 - 200 employees

Founded 2012

👥 HR Tech

🏪 Marketplace

🎯 Recruiter

💰 Series C on 2024-02

📋 Description

• Location: Remote – LATAM • Act as the analytical partner for the Product team leading the company’s marketplace • Support growth initiatives and development of key modules within the ecosystem • Use a strong data perspective to enable continuous discovery, experimentation, validation, and iteration • Hands-on, impact-oriented role focused on building solutions with the product team • Support product discovery with exploratory analyses and actionable hypotheses • Define and track key product metrics (adoption, conversion, drop-off, engagement, etc.) • 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 • Contribute to data-driven solutions for onboarding, segmentation, matching, pricing, and more

🎯 Requirements

• Strong SQL skills for advanced self-service analysis (cohorts, window functions, CTEs, dynamic segmentation, etc.) • Experience designing and analyzing A/B tests with statistical rigor • Knowledge of Phyton or R for ad-hoc analysis or advanced data manipulation • Solid grasp of applied statistics: hypothesis testing, confidence intervals, significance thresholds • Familiarity with data visualization tools (e.g., Power BI, Looker, Metabase) • Bonus: experience using product analytics tools like Amplitude, Mixpanel, GA4 • Bonus: experience with AI tools that enhance analysis or decision-making

🏖️ Benefits

• Our company culture values agility, is centered on its people, fosters teamwork, and provides substantial room for proposing improvements and implementing changes that pave the way to success. • Significant growth opportunities • Additional vacation days • Fully remote work based on objectives • Flexible hours • Connectivity support • A laptop and keyboard • English classes

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