BI Engineer (Data Analyst)

APPLY is seeking a BI Engineer / Data Analyst to support the Kraft Heinz DXP Platform team by owning reporting outcomes from raw platform data through actionable insights during a GCP to Azure and Snowflake migration.

Responsibilities

• Design, build, and maintain BI dashboards and reports (Looker Studio & Power BI) that translate raw platform data into clear, actionable insights for business and marketing stakeholders.
• Partner 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/Snowflake datasets to uncover trends, anomalies, and opportunities not yet visible to the business.
• Write and optimize SQL across BigQuery and Snowflake; build and maintain dbt models to support scalable, governed data marts.
• Collaborate on Dagster-orchestrated data pipelines by understanding lineage and dependencies well enough to troubleshoot and contribute to data model design.
• Explore and prototype agentic AI and data science solutions (example focus areas: LLM-powered analysis, automated insight generation, predictive/propensity modeling) to accelerate how insights are surfaced and acted on.
• Apply data governance in day-to-day work, including privacy and retention deletion workflows using OneTrust, and correct handling of PII across CRM/MarTech integrations (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 work with Data Engineering to address root causes rather than applying downstream patches.
• Stay current on BI and analytics tooling and proactively 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 comfort with complex queries, CTEs, and window functions.
• Hands-on experience building dashboards and reports in Looker Studio and/or Power BI.
• Working knowledge of dbt for data modeling and transformation.
• Familiarity with pipeline orchestration tools, with Dagster preferred (Airflow or similar acceptable).
• Understanding of data governance and privacy compliance concepts, ideally with exposure to OneTrust or a similar consent/privacy management platform.
• Experience working with CRM/MarTech data sources such as Customer.io, Twilio Segment, or comparable CDP/ESP platforms.
• Some hands-on data engineering skills (Python, pipeline debugging, schema design) are a plus; comfort partnering closely with Data Engineering.
• Excellent communication skills, including translating findings into insights for non-technical stakeholders.
• Cloud data migration experience (GCP, Azure, or AWS) is a plus.
• Curious, insight-first mindset, including the ability to go beyond dashboard requests to surface what the data indicates.

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

• Arkansas (hybrid)
• APPLY is hybrid/remote-friendly.
• Preferred candidate should be based in Latin America, preferably working in hours aligned to PT (Pacific Timezone) or ET (Eastern Timezone).
• Candidates located in Santiago, Chile can work out of the Santiago office as remote/hybrid employees.
• Candidates located outside of Santiago, Chile will be fully remote employees.

Life at APPLY

• People are at the core of everything APPLY does.
• Modern tools, systems, and approaches; value for time, safety, and health; focus on building a community where people can thrive and grow.
• Recruitment accommodations: email [email protected].