BI Engineer (Data Analyst)

APPLY is hiring a BI Engineer / Data Analyst to support the Kraft Heinz DXP Platform team, owning the full path from raw platform data to actionable stakeholder insights during a GCP to Azure and Snowflake migration.

Responsibilities

• Design, build, and maintain BI dashboards and reports in Looker Studio and Power BI to deliver actionable insights for business and marketing stakeholders.
• Collaborate with Data Engineering to migrate and validate dashboard data models through the GCP to Azure/Snowflake transition, ensuring metric parity and no regression in reporting accuracy.
• Conduct exploratory data analysis across BigQuery and Snowflake to uncover trends, anomalies, and additional opportunities.
• Write and optimize SQL for BigQuery and Snowflake; build and maintain dbt models to support scalable, governed data marts.
• Work with Dagster (or equivalent orchestration) to understand lineage and dependencies well enough to troubleshoot and contribute to data model design.
• Explore and prototype agentic AI and data science solutions, such as LLM-powered analysis, automated insight generation, and predictive/propensity modeling.
• Apply data governance practices daily, including support for privacy and retention deletion workflows using OneTrust and correct handling of PII across CRM/MarTech integrations (e.g., Customer.io, Twilio Segment).
• Own the end-to-end reporting lifecycle: requirements gathering, data modeling, dashboard build, validation, and stakeholder walkthroughs.
• Identify data quality issues and partner with Data Engineering to resolve root causes upstream rather than patch downstream.
• Stay current on BI and analytics tooling and recommend improvements to the reporting stack.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, Information Systems, or a related field, or equivalent practical experience.
• 4+ years of experience in business intelligence, data analytics, or a hybrid analytics engineering role.
• Strong SQL skills across BigQuery and/or Snowflake, including complex queries, CTEs, and window functions.
• Hands-on dashboard and reporting experience with Looker Studio and/or Power BI.
• Working knowledge of dbt for data modeling and transformation.
• Familiarity with pipeline orchestration tools: Dagster preferred; Airflow or similar acceptable.
• Knowledge of data governance and privacy compliance, ideally with experience using OneTrust or similar consent/privacy management tooling.
• Experience working with CRM/MarTech data sources such as Customer.io, Twilio Segment, or comparable CDP/ESP platforms.
• Some hands-on data engineering capability is a strong plus (e.g., Python, pipeline debugging, schema design) to support close partnership with Data Engineering.
• Excellent communication skills to translate findings into business insights for non-technical stakeholders.
• Cloud migration experience (GCP, Azure, or AWS) is a plus.
• Curiosity and an insight-first mindset, including proactive exploration beyond requested dashboard deliverables.

Technologies

• Looker Studio, Power BI
• BigQuery, Snowflake, SQL
• dbt
• Dagster, Airflow
• LLM-powered analysis, OneTrust
• Customer.io, Twilio Segment
• Python
• GCP, Azure, AWS

Benefits

• Generous vacation policy
• Flexible work arrangements (remote, in-office, or a blend of both)
• Agentic Delivery
• Inclusive and safe environment
• AI & Strategic Upskilling (generous training budgets and mentorship)

Location

• Hybrid/remote-friendly.
• Preferred candidate location: Latin America, ideally aligned to PT (Pacific Time) or ET (Eastern Time) working hours.
• Candidates based in Santiago, Chile may work out of the Santiago office as remote/hybrid employees.
• Candidates located outside Santiago, Chile will be fully remote employees.

Life at APPLY

• People are at the core of APPLY.
• Modern tools and systems; valuing time, safety, and health.
• Recruitment accommodations: [email protected].