About the Role:
We are looking for a self-driven Senior Data Analyst who demonstrates impact, ownership and innovation.
Please note that remote-based candidates must be physically located within the United States.
Responsibilities
Collaborate closely with Lyra’s Technology, Operations, Product, and other associated teams to provide critical business insights that enable strategic planning and improve operational processes, resulting in high-quality care for clients.
Become an expert in the diverse data sources at Lyra, working with Data Engineers, Data Scientists, and fellow Data Analysts to build and enhance Lyra’s data models.
Partner with Data Engineering to build a scalable and flexible analytics metrics database using the standard development process involving Snowflake, dbt, Github, and peer reviews.
Conduct quantitative analyses to identify meaningful trends in care experience and utilization that uncover new opportunity areas and drive stakeholder decision-making.
Provide internal stakeholders with ongoing visibility into key metrics by creating and maintaining Tableau dashboards and reports.
Complete time-sensitive ad hoc data requests that inform high-priority business objectives while ensuring high data quality and reporting accuracy.
Using domain knowledge and technical expertise, guide and advise stakeholders on reporting logic, metric development, and data limitations/caveats to ensure rigorous methodology and accuracy.
Build automation and self service analytics solutions for stakeholders, leveraging data tools and resources such as python, BI tools and automation platforms.
Qualifications
5+ years of data analysis in an industry setting with a preference for individuals who have experience in product / operations analytics and have partnered with engineering, operations and product teams in prior roles.
Bachelor’s Degree, preferably in Engineering, Math, Statistics, Analytics/Data Science or other related field.
Strong SQL proficiency. Experience writing complex queries with multiple schemas and tables. Preference for candidates who have experience creating views.
Experience in working with a cloud data warehouse and modeling analytic views with dbt.
Strong experience with defining metrics and developing dashboards and visualizations that provide clear, actionable insights to stakeholders.
Experience with developing self-serve automated analytic solutions that involve scripting, data cleansing, data extraction pipelines, and / or process automation.
Excellent at cross-functional collaboration with non-technical business stakeholders, especially in translating technical concepts, scoping reporting requests, and working together to create high-quality deliverables.
Demonstrated experience in project ownership; capable of independently managing and meeting project milestones.
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