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