Data Analyst

Position Summary

The Data Analyst is responsible for the development and communication of reports, insights, narratives, and visualizations related to the performance of Precision Nudging for healthcare outcomes.  The Data Analyst will work closely with behavioral scientists, computer scientists, machine learning engineers, and data engineers to develop methods and tools that enable the derivation of insights into the efficacy of Lirio behavior change programs, patient engagement execution, and machine learning implementations. Tasking for this position includes exploratory data analysis, data model development, code development, data visualization development, and general contributions to analytics and reporting efforts.  The Data Analyst is a customer-facing position and requires strong skills in the communication and interpretation of data for non-technical audiences, as well as strong data storytelling abilities to deliver compelling descriptions of Lirio Precision Nudging performance.  The Data Analyst is expected to embrace Lirio’s culture of cross-team collaboration and will work closely with Lirio leadership, other data professionals at Lirio and the Lirio Growth team to shape our client-facing narratives.

This role will be remote within the US with the opportunity to be hybrid if located in Tennessee. All applicants must be legally authorized to work in the US without sponsorship, and must reside full time in the US.

Essential Duties and Responsibilities

Analytics Interpretation & Communication

• Builds and delivers customer-facing reports and insights that highlight the behavioral, healthcare and business outcomes attributable to Lirio’s Precision Nudging
• Proactively identify and investigate data trends, anomalies, and opportunities, translating findings into actionable recommendations. 
• Actively contribute to Lirio’s customer reports, marketing materials, and thought leadership through the development of compelling analytical narratives and visualizations. 
• Serve as the essential “interpretation layer” between our Data Engineering team and Lirio’s internal stakeholders, translating complex data structures and analytical models into understandable insights that enable data-driven product improvement. 
• Lead the creation and delivery of engaging presentations to a diverse range of audiences, including senior leadership, clients, and prospective partners. 
• Foster a data informed culture.

Data Storytelling: 

• Proven experience in client-facing roles, with a track record of successfully presenting complex data insights to non-technical audiences. 
• Exceptional data storytelling abilities, capable of translating raw data into clear, concise, and compelling narratives that drive action. 
• Strong experience with data visualization tools to create impactful dashboards and reports. 
• Excellent verbal and written communication skills, with a keen ability to articulate technical details and business implications to various stakeholders

  Data Analytics Development: 

  • Serve as a trusted expert, providing insightful guidance and strategic recommendations to clients, vendors, and internal teams on a wide range of Data Analytics initiatives and strategies. 
  • Translate complex technical challenges into clear data requirements, identifying optimal ways to answer critical questions and reporting needs within Lirio’s Analytics Data Model. 
  • Develop and support robust, user-friendly tools and dashboards that empower internal and external users with self-service data access and insights. 
  • Design and implement solutions that ensure data accuracy, consistency, and enable efficient reporting. 
  • Implements changes to the reporting data processes and workflows.
  • • Maintains data governance and security/privacy standards when analyzing sensitive client data

Education and Experience

• • Bachelors degree
  • 8+ years of experience creating data analytics methods and tools. 
  • Experience working with domain experts to analyze complex datasets 
  • Experience with data science and data science libraries
  • Experience with big data, distributed systems, data modeling, data literacy, data warehousing, etc.
  • Experience with data visualization and industry leading BI tools
  • Databases, SQL, and data warehouses (e.g. Snowflake)
  • Python or R
  • Workflow orchestration tools (e.g., Apache Airflow)
  • BI Tools (Tableau, PowerBI)
  • MS Excel
  • AWS or Azure 
  • Ability to communicate complex concepts and findings clearly and concisely
  • Ability to communicate authoritatively with clients and vendors
  • Working effectively with diverse teams and stakeholders
  • Exceptional problem solving
  • Experience building scalable/repeatable analytic processes and workflows
  • Understanding of ethical use of data
  • Understanding of data governance 
  • Empathy
  • Flexibility

Benefits

• Medical (HSA available) 
• Dental 
• Vision 
• Short-term & long-term disability (company-paid) 
• Life & AD&D (company-paid) 
• 401K with company match 
• 10 paid holidays + holiday week company closure 
• Flexible time off policy 
• Work from home