Business Intelligence Engineer

Career Movement

$90K — $120K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4+ years in BI, analytics engineering, or data engineering
  • Strong SQL skills for complex queries and schema design
  • Hands-on experience with Power BI for dashboard development
  • Experience with cloud data warehouses like Redshift
  • Familiarity with dimensional modeling and database design
  • Knowledge of Power Query for data preparation

Responsibilities

  • Lead full data lifecycle from ingestion to dashboard delivery
  • Orchestrate data pipelines and warehouse modeling in Redshift
  • Develop and maintain Power BI dashboards for stakeholders
  • Gather requirements from internal teams and translate into actionable insights
  • Engage with external clients for tailored BI solutions
  • Ensure data integrity and performance tuning for optimal results

Benefits

  • High-ownership role with the opportunity to impact the business directly
  • Work within a lean, agile engineering team
  • Exposure to a diverse range of projects across large brands
  • Opportunity to develop skills in various BI tools and cloud technologies
  • Collaborative environment focused on data-driven decision-making
Full Job Description
A PE-backed marketplace management firm in West Palm Beach is adding a BI Engineer to their
lean engineering team. This company manages Amazon channel strategy for some of the largest
brands on the platform and runs a fact-based, data-driven operation that depends on clean,
fast data.

The role spans the full data lifecycle: data ingestion, pipeline orchestration, warehouse
modeling in Redshift, and Power BI dashboard delivery. Roughly half the time involves direct
stakeholder interaction -- gathering requirements from internal business teams and translating
them into data products. Some work with external clients is also involved.

This is a high-ownership role on a small team. The right candidate has worked the full stack
from raw source to finished dashboard and holds themselves to a high standard without needing
close oversight.

What you bring:
- 4+ years in BI, analytics engineering, or data engineering
- Strong SQL -- complex queries, schema design, performance tuning
- Power BI dashboard development and data model ownership
- Cloud data warehouse experience (Redshift or comparable)
- Dimensional modeling and database design
- Power Query for analyst-facing data prep

Nice to have:
- dbt or comparable SQL transformation tooling
- Airflow or Airbyte (or comparable ETL and orchestration)
- Python for data tasks
- Amazon marketplace or e-commerce data experience

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