Analista de Datos, Negocio

This is a fully remote position, open to applicants in Chile.

📋 Description

• Analyze the impact of initiatives, features, and experiments both before and after implementation, assessing causality, incrementality, and business outcomes.

• Communicate findings to Product Owners and tribe leaders, differentiating between correlation and causation while highlighting the limitations of the analyses.

• Design, build, and maintain dashboards and strategic KPIs (Control Tower).

• Ensure consistency in metric definitions and data quality of dashboards.

• Define, implement, and govern the tagging and measurement strategy for the digital funnel.

• Coordinate with Product and Technology on the instrumentation of new functionalities.

• Ensure and document the traceability of data from its origin to analytical consumption.

• Collaborate with Data Governance to maintain lineage in the corporate catalog.

• Coordinate data literacy programs for Product Owners and stakeholders.

• Train in metric interpretation and the use of self-service tools.

⛳️ Requirements

• Degree in Business Engineering, Computer Engineering, Statistics, Economics, Mathematics, or a related field with a strong analytical component.

• Specialization in Product Analytics, Data Analytics, or Business Intelligence will be valued.

• Between 2 to 4 years of experience in Data Analytics, Product Analytics, or BI, focused on providing analytical support to digital product teams.

• Experience in impact analysis of product features or initiatives, evaluating causality and incrementality.

• Proven ability to build and maintain business dashboards or strategic KPIs actively used by product teams.

• Experience in tagging instrumentation or designing tracking plans for digital products.

• Experience collaborating directly with product tribes in agile environments, supporting the discovery and validation cycle of features.

• Intermediate to advanced SQL skills: analytical queries, funnels, cohorts, and window functions in BigQuery or equivalent.

• Familiarity with product analytics tools such as Amplitude, Mixpanel, or equivalents.

• Knowledge of visualization and BI tools like Looker, Looker Studio, Tableau, or Power BI.

• Experience with instrumentation and tagging tools such as Segment, GTM, Firebase, or equivalents.

• Applied statistics in business: basic causality, incremental analysis, design, and interpretation of A/B tests.

• Basic to intermediate Python skills (pandas and numpy) — desirable.

• Basic knowledge of dbt or Dataform — desirable.

• Understanding of Data Lineage and data catalogs (Dataplex, Collibra, or equivalents) — desirable.

• Experience designing Data Literacy programs or analytical enablement in product teams — desirable.

🏝️ Benefits

• Annual budget for self-managed training.

• Remote work option.

• Day off on your birthday.

• Half-day off for the birthday of children/parents.

• Short Fridays (all Fridays end at 2 PM).

• Work from anywhere (Work from wherever you want! Just remember to have a good internet connection).