Remote (LATAM-based)
Compensation: USD $3,000–$3,800 per month
Full-time, 8:30AM–5:30PM Eastern, Contractor.
Tech Stack: Power BI, NetSuite, Databricks, SQL, ETL/ELT, Data Warehousing, APIs
About Near
At Near, we connect top talent in Latin America with exciting remote opportunities at U.S.-based companies. Our mission is to create better lives by fostering a remote work culture that transcends borders.
About the Company
Our client is an innovative digital health company operating at the intersection of healthcare, AI, and immersive VR/XR technology. As a VR DME provider, they help patients and clinicians by delivering data-driven therapeutic experiences and remote care. They work as a global team to build a strong data and analytics backbone that powers better clinical outcomes, smarter operations, and scalable growth.
About the Role
We’re looking for an Data Analyst who combines strong data engineering and analytics skills with business acumen and ownership. You’ll own XRHealth’s data layer (data lake, integrations, and KPIs), build and maintain core analytics infrastructure, and translate complex data into actionable insights for operations, product, and leadership.
A core part of this role is hands-on ownership of Power BI for dashboards and reporting, and deep integration with NetSuite as a key data source for financial and operational data. You will collaborate with operations, product, finance, and commercial stakeholders to create robust KPI dashboards, models, and reports that drive decisions.
This role requires someone highly independent, hands-on, and proactive — comfortable being the primary data owner and able to move from raw data engineering to meaningful analysis and storytelling.
You Will:
Own and maintain the company’s data lake and core analytics environment, ensuring data is reliable, well-structured, and accessible.
Design, build, and maintain Power BI dashboards and reports that clearly communicate performance, trends, and exceptions to stakeholders across operations, finance, and leadership.
Integrate and maintain NetSuite as a primary data source — including data extraction, mapping, transformation, and quality checks — to support financial reporting, operational KPIs, and cross-functional analytics.
Design, build, and maintain ETL/ELT pipelines and data ingestion processes from various systems (CRM, marketing, product, billing, clinical/operations tools, NetSuite ) into Databricks / DWH.
Integrate data sources via APIs and other interfaces, handling data mapping, transformation, and quality checks.
Define, build, and maintain KPIs and metrics that support business, operations, and AI initiatives (patient lifecycle, usage, compliance, operational efficiency, etc.).
Support AI-related initiatives by ensuring data is structured, labeled, and organized for downstream AI/ML and insight generation.
Perform in-depth analyses of operations, patient journeys, funnels, and cross-functional workflows to identify opportunities for efficiency, scalability, and impact.
Partner with operations and business leaders to build business cases, support planning, and inform strategic decisions.
Troubleshoot data issues end-to-end (from ingestion to dashboard), diagnose root causes, and implement durable fixes.
Document data models, pipelines, and KPIs so the organization can understand and rely on the analytics layer.
Work closely with a small, multidisciplinary team, contributing ideas and helping shape processes in a fast-growing environment.
About You
Your Background:
4–5+ years of experience in data analytics, data engineering, business operations analytics, or similar roles.
Hands-on experience implementing and maintaining Power BI — including data modeling, DAX, report design, and stakeholder-facing dashboards.
Hands-on experience integrating with NetSuite — extracting, transforming, and loading data for reporting and analytics purposes.
Strong SQL expertise (writing complex queries, building views, optimizing…