We are a digitally native company where innovation, design, and engineering meet scale. We use the latest technologies in the digital and cognitive fields to empower organizations in every aspect. We want you to join us to work with some of the world’s biggest clients in tech, retail, travel, banking, e-commerce, and media, revolutionizing and growing their core businesses while helping them (and you!) stay ahead of the curve. Be part of a company with the most cutting-edge practices and technologies plus a unique team.

WHAT ARE WE LOOKING FOR?

We are seeking a Business Intelligence / Data Analytics Engineer (Healthcare) who can work end-to-end across data engineering, business intelligence, analytics, and Power BI visualization. This role is highly self-directed and business-facing, requiring someone who can understand project goals, dive deep into data, and identify meaningful opportunities and insights that help shape product direction and technical design. A strong understanding of Healthcare Utilization Management (UM) or clinical operations is essential.

We are also open to a US-based recent graduate (0–2 years) with a data science background plus healthcare or clinical studies.

Key Responsibilities:

Analyze complex datasets to uncover insights that drive business and product decisions.
Build and maintain data pipelines, perform data preparation, and support ETL/ELT activities.
Develop interactive reports and dashboards using Power BI, including data modeling and DAX.
Collaborate directly with business stakeholders to gather requirements and align analytics efforts with organizational goals.
Translate business questions into analytical frameworks and structured plans.
Apply healthcare domain knowledge (UM/clinical) to ensure data accuracy and context.
Work autonomously, managing priorities and delivering high-quality work with minimal guidance.

Required Skills & Qualifications:

Proven experience in Business Intelligence, Data Analytics, or Data Engineering roles.
Advanced proficiency in Power BI (data modeling, DAX, visualization, report design).
Hands-on experience preparing datasets, manipulating large data volumes, and supporting data engineering workflows.
Strong communication and business-facing skills.
Ability to work independently and drive analytical initiatives from concept to execution.
Experience or deep familiarity with Healthcare Utilization Management (UM), clinical data, or healthcare operations.
Background in data science, statistics, or predictive modeling.
Experience working with healthcare datasets (claims, utilization, clinical workflows).
Understanding of cloud-based data platforms or analytics tooling.
Strong documentation and data storytelling skills.

Salary Range

$45,000 – $55,000 USD

Globant

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