Senior Data Analyst

📋 Description

• • Nira Medical Inc. is at the forefront of revolutionizing neurological care, fostering a collaborative environment where independent practices unite to drive the future of patient-centric, clinician-led treatment. Empowered by cutting-edge technology, our mission is to enhance the lives of individuals battling Alzheimer's, Multiple Sclerosis, Parkinson's, and related disorders by providing access to transformative therapies, enabling them to lead healthier and more fulfilling lives.
• • As a Senior Data Analyst, you will play a pivotal role in shaping and sustaining our organization's data infrastructure and advanced analytics capabilities. This comprehensive role spans the entire data lifecycle, from the intricate construction of data pipelines and sophisticated data modeling to the creation of insightful reports and dashboards. Your contributions will be instrumental in ensuring the delivery of reliable, accurate, and actionable data that fuels strategic decision-making across Nira Medical.
• • This is a highly hands-on position requiring close collaboration with diverse teams, including operations, clinical staff, finance departments, and external technology partners. You will be a key player in bridging the gap between raw data and strategic business intelligence.
• • Data Infrastructure & Pipelines:
• • Collaborate closely with our dedicated data engineering team to architect, build, and meticulously maintain robust data pipelines. These pipelines will be responsible for ingesting critical data from a variety of source systems, including Electronic Medical Records (EMRs), Clinical Trial Management Systems (CTMS), specialized infusion software, and pharmacy management platforms, ensuring a comprehensive and integrated data flow.
• • Actively contribute to the ongoing development and upkeep of Nira Medical's Snowflake data warehouse, a central repository for our valuable data assets. This includes optimizing performance, managing schema evolution, and ensuring data integrity within the warehouse.
• • Design, implement, and manage complex data transformations and data models. These models will be the foundation for advanced analytics, business intelligence reporting, and ad-hoc data exploration, tailored to meet the evolving needs of the organization.
• • Proactively identify, troubleshoot, and resolve any issues that arise within data pipelines, ensuring the continuous accuracy, reliability, and timeliness of our data. This involves implementing monitoring solutions and developing efficient debugging strategies.
• • Analytics & Reporting:
• • Develop, deploy, and maintain sophisticated dashboards and reports utilizing our Business Intelligence (BI) tool, Sigma. These visualizations will translate complex data into easily understandable insights for various stakeholders.
• • Engage directly with stakeholders across operations, finance, clinical departments, and revenue cycle management to deeply understand their unique reporting requirements and data needs. Translate these requirements into practical, actionable insights that drive business improvements.
• • Support the creation and refinement of standardized reporting frameworks for critical areas such as practice performance, patient access metrics, clinical operations efficiency, and overall financial performance. This will involve defining KPIs and establishing consistent reporting methodologies.
• • Define, develop, and implement key performance indicators (KPIs) and metrics that align with the company's priority initiatives, providing clear visibility into progress and success.
• • Leverage the power of modern AI features, such as Cortex Agents, to empower users across the organization with self-service data exploration and analysis capabilities, democratizing access to insights.
• • Data Governance & Quality:
• • Play a key role in the implementation and enforcement of data governance best practices. This includes meticulous data documentation, establishing clear data definitions, and implementing robust data quality monitoring processes to ensure the trustworthiness of our data.
• • Contribute to initiatives aimed at standardizing key datasets across the entire organization, promoting consistency and enabling more effective cross-functional analysis.
• • Assist in the meticulous maintenance of data lineage information and comprehensive data dictionaries, providing transparency and understanding of our data assets.
• • Champion a data-driven culture by promoting data literacy and best practices throughout the organization.