Full-Stack Business Analyst

November 6

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Elation Health

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Electronic Health Record (EHR)

201 - 500

Description

• Our team is committed to enhancing physician and patient quality of life through Elation, a SaaS cloud-based platform. • We are seeking a highly motivated Full-Stack Business Analyst who excels in both data analysis and data engineering to join our team. • The ideal candidate will have a proven ability to perform strong data-driven analyses to uncover insights that drive business impact, and be able to extract, transform, and load data from various business systems into our data warehouse. • This role requires a blend of analytical thinking, technical skills, and business acumen to deliver actionable insights and support data-driven decision-making across the organization. • This role will give you the opportunity to drive real change within the healthcare segment. • Partner with leaders of business functions across the organization to drive data-driven business decisions to achieve key company outcomes. • Build, then train stakeholders on how to use dashboards, reports, analyses to drive operational improvements and business outcomes. • Manage internal data warehouse instance (Snowflake) through data transformation and modeling tools (e.g., dbt), as well as manage data visualization tool (Looker). • Evangelize data-driven decision-making and make data and tools accessible to any team member across the organization. • Develop consistent data modeling and representation standards that simplify maintenance and comprehension.

Requirements

• 5+ years of experience in a business analyst, data analyst, or similar role, with a focus on full-stack data work. • Exceptional communication skills, with the ability to present complex data in a clear and concise manner to non-technical stakeholders. • 5+ years of experience driving change through analyses and actionable recommendations through organizations.Proven Track record of gaining buy-in across the organization from executive to front-line management. • Excellent analytical, problem-solving, and critical-thinking skills. • Strong experience with data analysis tools (e.g., SQL, Python, R), data visualization tools (e.g., Looker, Tableau, Power BI), and data warehouses (e.g., Snowflake, BigQuery) operating on large data sets. • Applies pragmatic approaches and use of tools with focus on delivering business outcomes. • Experience with data engineering tools (e.g., dbt) and data integration platforms (e.g., Fivetran). • Familiarity with scripting languages (e.g., Python) for data manipulation and automation. • Knowledge of statistical analysis and predictive modeling techniques. • Hands-on experience with data extraction from various business systems (e.g., Salesforce, NetSuite, HubSpot, etc.). • Proficient in building ETL pipelines and integrating data into data warehouses (e.g., Snowflake, Redshift, BigQuery). • Expert in Excel and advanced knowledge of google sheets, including scripting