Data Product Analyst

Workana; Colombia; A distancia; COP 99.104.099 - 158.566.558; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible hours

Fully remote work

Additional vacation days

Connectivity support

Laptop and keyboard

English classes

Descripción de la vacante

A dynamic technology company is seeking an Entry Level Analyst to support product discovery and contribute to data-driven solutions. The ideal candidate will possess strong SQL skills and experience with statistical analysis and A/B testing. This fully remote role offers significant growth opportunities, flexible hours, and the chance to make a real impact on product decisions.

Formación

• Strong SQL skills for advanced self-service analysis.
• Experience designing and analyzing A/B tests with statistical rigor.
• Knowledge of Python or R for ad-hoc analysis.

Responsabilidades

• Support product discovery with exploratory analyses.
• Define and track key product metrics.
• Design and analyze product experiments.

Conocimientos

Strong SQL skills

Experience designing A/B tests

Knowledge of Python or R

Solid grasp of applied statistics

Familiarity with data visualization tools

Experience with product analytics tools

Experience with AI tools

Herramientas

Power BI

Looker

Metabase

Descripción del empleo

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Location: Remote - LATAM

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

Responsibilities

• 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 based on data opportunities
• 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

What Success Looks Like

• Product teams make faster, better decisions thanks to your input
• Hypotheses are validated with reliable data, and experiments are designed and interpreted with clarity
• You proactively uncover insights that influence strategy, prioritization, and user experience
• You promote a culture of data accessibility, enabling rather than bottlenecking decisions
• You're seen as a strategic partner within the squad — because your contributions drive real impact

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. We offer significant growth opportunities, additional vacation days, fully remote work based on objectives, flexible hours, connectivity support, a laptop and keyboard, plus English classes.

Role details

• Seniority level: Entry level
• Employment type: Full-time
• Job function: Analyst
• Industries: IT Services and IT Consulting

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