Data Product Analyst

Workana

Colombia

Sur place

COP 99 104 099 - 158 566 558

Plein temps

14 jours+

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Avantages offerts par ce poste

Flexible hours

Fully remote work

Additional vacation days

Connectivity support

Laptop and keyboard

English classes

Résumé du poste

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.

Qualifications

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.

Responsabilités

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

Connaissances

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

Outils

Power BI

Looker

Metabase

Description du poste

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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