Remote Otter LogoRemoteOtter

BI Lead - Data Analytics Engineer - Remote

Posted 5 days ago
Data Analysis
Full Time
USA

Overview

The BI Lead - Data Analytics Engineer will architect, build, and operationalize a new data lake and BI stack to drive attribution insights and analytics excellence across the company.

In Short

  • Remote position, US-based preferred.
  • Hands-on role focusing on building a data lake and BI environment.
  • Requires 7+ years of experience in data engineering or analytics.
  • Strong skills in Python, SQL, and data lake technologies needed.
  • Involves defining data governance and quality standards.
  • Collaboration with marketing, product, and engineering teams.
  • Focus on multi-touch attribution models and data pipelines.
  • Opportunity to shape the company's data architecture.
  • High-impact role in healthcare technology.
  • Join a world-class engineering and growth team.

Requirements

  • 7+ years in data engineering, analytics, or BI roles.
  • Experience with data lakes or warehouses.
  • Expertise in SQL and modern data warehouse technologies.
  • Strong Python skills, familiarity with FastAPI and Celery.
  • Experience with ETL/ELT frameworks and API-based ingestion.
  • Excellent communication skills.

Benefits

  • Lead the end-to-end build of a greenfield data lake.
  • Tackle complex problems in healthcare tech.
  • High-impact role influencing company direction.
  • Grow with a talented engineering and growth team.
Doctronic logo

Doctronic

Doctronic is a pioneering healthcare company that is transforming the patient experience through an AI-first, virtual-only care model. By prioritizing empathy and innovation, Doctronic aims to deliver timely answers rather than traditional appointments, ensuring that patients receive the care they need when they need it. The company focuses on creating a seamless and compassionate digital interaction for patients, emphasizing the importance of experience in healthcare delivery. With a mission-driven approach, Doctronic seeks to redefine care by integrating technology with human touch, ultimately improving clinical outcomes and patient satisfaction.

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