Role Mission
The Data & Analytics Lead will lay the foundation for how Acclinate organizes, understands, and activates its data—turning fragmented information into a strategic asset that supports mission validation, client engagement, and organizational readiness for future scale.
Key Responsibilities
Data Integration & Architecture:
- Integrate data from multiple existing sources (e.g., HubSpot, platform data, community datasets, shared environments, and external healthcare data) into a cohesive, accessible structure.
- Design and implement scalable but pragmatic data models and storage solutions aligned to organizational needs and growth stage.
- Build and maintain ETL/ELT processes to ingest, clean, and harmonize diverse datasets into a centralized environment.
- Write and optimize Python and SQL workflows for reliable, cost-effective data processing.
- Leverage appropriate cloud-native tools (GCP preferred) to support secure, flexible data operations.
Analytics Enablement & Insight Generation
- Transform integrated datasets into analyses that help identify market opportunities, sponsor needs, and emerging client challenges.
- Develop repeatable reporting and insight frameworks that support business development and strategic decision-making.
- Partner with leadership to translate data into clear narratives demonstrating Acclinate’s value proposition and outcomes.
- Create measurable frameworks that show the organization’s effectiveness in improving diversity and representation in clinical trials.
Data Maturation & Governance
- Establish scalable standards for data ingestion, documentation, definitions, and quality management.
- Introduce right-sized governance practices, including data lineage, validation, and reproducibility.
- Ensure HIPAA-compliant handling of sensitive healthcare and community data.
- Document data architecture, workflows, and processes to support transparency and long-term sustainability.
Cross-Functional Collaboration
- Work closely with product, community, and business teams to understand evolving data needs and translate them into usable solutions.
- Help shape Acclinate’s enterprise data roadmap, balancing near-term delivery with long-term capability building.
- Support external partnerships by helping define clear, actionable data use cases.
- Provide guidance on future analytics and data team expansion as organizational needs grow.
Qualifications
- Experience working across data engineering, analytics, or data science roles, including building data environments in evolving or high-growth organizations.
- Strong proficiency in SQL and Python for data transformation, analysis, and automation.
- Experience designing practical cloud-based data solutions (Google Cloud Platform preferred).
- Demonstrated ability to integrate and structure complex datasets from multiple operational and external sources.
- Understanding of healthcare data environments and relevant standards (e.g., HIPAA, HL7/FHIR, clinical research data) is a plus.
- Ability to translate business questions into analytical approaches and communicate findings to non-technical stakeholders.
- Experience enabling advanced analytics and future AI/ML use cases.
- Comfortable operating in a builder role that blends hands-on execution with process design and strategic collaboration.
Employee Benefits
We offer a comprehensive compensation and benefits package designed to attract and retain top talent. Here's what you can expect:
- Competitive salary commensurate with your experience and qualifications.
- Access to health, dental, and vision insurance plans, with the company covering half of the premium costs.
- Access to 401(k)-retirement plan to help you secure your financial future.
- Enjoy 22 paid holidays throughout the year.
- Receive an educational stipend to support your ongoing professional development.
- A technology allowance to keep you equipped with the tools you need.
- Generous paid time off to recharge and maintain work-life balance.