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.

• 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 Big Query and Snowflake to uncover trends, anomalies, and additional opportunities.
• Write and optimize SQL for Big Query 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 One Trust and correct handling of PII across CRM/Mar Tech 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.

• 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 Big Query 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 One Trust or similar consent/privacy management tooling.
• Experience working with CRM/Mar Tech 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.

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

• 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)

• 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.

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