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Kandu · 3 weeks ago

Lead Data & Analytics Engineer

Los Angeles, CA

Full-time

Onsite

Senior Level, Lead/Staff

$150K/yr - $175K/yr

5+ years exp

Kandu Inc. is a company formed through the merger of Kandu Health and Neurolutions, focusing on integrated stroke recovery solutions. The Lead Data & Analytics Engineer will play a crucial role in building the data infrastructure necessary for data-driven decision-making across the enterprise, enabling various teams to utilize clean and governed data effectively.

BiotechnologyHealth CareMedical DeviceNeuroscienceSoftware

Responsibilities

Build and maintain data pipelines from key business systems, including EHR, CRM, ERP, claims/finance, and manufacturing/ops

Design ELT workflows to ingest, normalize, and transform data using modern tooling (e.g., Fivetran/Airbyte, Prefect/Airflow, dbt, Python)

Ensure reliability, observability, version control, and documentation of all pipelines

Handle PHI responsibly and ensure all pipelines, transformations, and data storage follow HIPAA, GDPR, and SOC2 requirements

Architect, build, and implement a centralized data warehouse (e.g., in Snowflake, BigQuery, or Redshift), including schemas, fact/dimension models, and semantic layers that reflect real-world workflows

Develop and maintain clean data models (dimensional, star/snowflake schemas), ensuring consistency across patient, clinical, sales, and claims datasets, to support analytics, dashboards, reporting and predictive models

Ensure data quality, lineage, governance and consistency across domains

Develop dashboards, operational monitors, and recurring analytics that provide real-time visibility into clinical, commercial, market access, revenue cycle, finance, and manufacturing activities

Automate recurring reporting workflows, alerts, and ETL orchestration (scheduling, monitoring, error handling)

Enable self-service analytics by ensuring data models are consistent, intuitive, and well-documented

Translate problems uncovered during discovery into actionable, well-structured analytics and visualizations

Support rapid ad hoc analysis during the early discovery phase of ESI

Develop early predictive and prescriptive models, e.g. prior-auth approval likelihood, therapy adherence patterns, claims-denial risk, operational forecasting

Support feature engineering, EDA and model evaluation under the direction of the VP of ESI

Help lay the foundation for future AI-driven decision support systems and embedding intelligence into operational systems

Work closely with business stakeholders to understand requirements, pain points and data needs

Communicate clearly with non-technical teams and translate technical concepts into business language

Support the ESI team’s mission to strengthen data-driven decision-making across the company

Qualification

Data engineeringSQLPythonData warehouseDashboardingData modelingPredictive modelingData governanceCross-functional partnershipCommunication skillsProblem-solvingAdaptability