[Hiring] Data Analyst @PatientFi

Role Description

• Gather requirements to build and maintain data analyses, risk triggers/rules, visualizations, and interactive dashboards that will drive business decisions and risk monitoring (in BI tools, web analytics platforms, and Excel).
• Facilitate the analytical needs of the business, collaborate in the design of diagnostic solutions, and deliver outstanding data products and insights.
• Use internal and external analytics tools, SQL, and scripting languages to access and analyze multivariate data.
• Perform deep analyses to help us understand our data better and help build out robust risk management and monitoring tools and reports for the business.
• Use emerging tech and tools to evaluate trends and develop actionable insights.
• Use data to independently uncover problems and business opportunities.
• Support data migrations in order to automate repeatable tasks and KPI tracking throughout the business.
• Track and analyze performance of various business and risk segments and programs to evaluate effectiveness.
• Build analysis, data visualizations, and multi-functional reporting that provides critical support to the operations and decision-making of the organization.
• Help translate business functional requirements into technical specifications and, conversely, technical approaches into easily digestible terms.
• Provide analytics expertise to key business partners regarding data & analytics.
• Support Commercial, Marketing & Risk teams with process improvements for optimized delivery of diverse data requests.
• Support business partners in adopting reporting solutions and business intelligence tools for self-service.
• Write LookML and SQL queries and build dashboards in Looker.
• Systematically identify issues with data quality and help find solutions to address.
• Assist with ad-hoc projects and tasks as necessary.

Qualifications

• Bachelor’s degree or equivalent experience.
• 2-4 years of experience in data analytics.
• 2-4 years of experience in designing and authoring reports/dashboards using Looker (or similar tools like Tableau, Power BI) is required.
• Proven proficiency and flexibility to perform analysis in SQL, Excel, BI tools, or whatever is best suited for the problem.
• Proven proficiency in basic statistics.
• Strong communication skills.
• Proven experience with web analytics tools.
• Proven experience with business intelligence tools (Looker Required) and relational databases.
• Prior experience with Data Science languages like Python, and/or R is preferred.
• Familiarity with ETL, data warehousing, and data modeling.
• Expert SQL skills for complex querying, analysis, performance optimization, and persisting data.
• Experience demonstrating analytical concepts to craft an actionable story for technical and non-technical audiences.
• Understanding of data warehousing concepts, design, modeling, data engineering.
• Skilled in analyzing, interpreting and summarizing data.
• Very structured, detail-oriented and excellent data visualization skills.

Requirements

• The requirements listed below are representative, but not all inclusive, of the knowledge, skill, and/or ability required.