Analytics Developer I

Summary

Join Pattern Data as an Analytics Developer I and play a vital role in planning and executing operational procedures for claims adjudication. You will define business requirements for claims processing, create data-driven protocols, and work with product and engineering teams for implementation. Responsibilities include deliverable management, project communication, data analysis and reporting, identifying areas for improvement, and risk mitigation. This role requires a bachelor's degree in a related analytical field, proven data analysis experience (preferably in software development or legal settings), advanced proficiency in Excel and other data analysis tools, and strong analytical and communication skills. Familiarity with AI and machine learning is a plus.

Requirements

• Bachelor’s degree in Mathematics, Economics, Accounting, Finance or related analytical fields
• Proven experience in data analysis, preferably in a software development or legal setting
• Advanced proficiency in Excel and other data analysis tools (e.g., SQL, Python, R)
• Strong analytical and problem-solving skills to interpret complex data and draw meaningful conclusions with a keen attention to detail
• Excellent verbal and written skills, with the ability to communicate with all levels of client personnel
• Passion and ability to tell stories with data, educate effectively, and instill confidence, motivating stakeholders to act on insights and recommendations
• Ability to ensure that projects are delivered on time and produce desired results
• Ability to navigate complexity and ambiguity

Responsibilities

• Understand complex settlement terms and define the business requirements for claims processing on the Pattern platform, including the required workflow stages, computations for award methodologies, and the generation of work products
• Define and create data-driven operational protocols and procedures that drive program progress and ensure transparency and visibility throughout settlements
• Work with product and engineering teams to implement these protocols and procedures within the Pattern platform, identifying key gaps and driving platform updates where required
• Support deliverable management processes through planning, tracking, and reporting deliverables, ensuring projects are delivered on time and to the required quality standards
• Support project and program communications. Distribute project status to team members throughout the project lifecycle
• Collect, analyze, and interpret data to identify program-related issues to make action-oriented recommendations
• Prepare detailed reports and presentations using data visualization tools to summarize analysis results and provide actionable recommendations
• Identify areas for product and process improvement
• Identify and analyze potential associated risks and recommend risk mitigation strategies
• Work with databases to organize, query, and retrieve data efficiently

Preferred Qualifications

Familiarity with AI and machine learning concepts