Analytics Developer I

December 28, 2024

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Pattern Data

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

☁️ SaaS

💰 Seed Round on 2020-02

Description

• The Pattern Data platform was created for the rapid analysis of thousands of medical records. • Our platform has been successfully implemented in major national settlements to process, adjudicate, and value claims. • As an Analytics Developer at Pattern Data, you’ll play a vital role in planning and executing operational procedures and processes for the adjudication of claims under the guidance of program leaders. • 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. • 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.

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 • Familiarity with AI and machine learning concepts is a plus