As a Data Scientist II, you will extract and analyze data and contribute to business problem solutions using data science analysis, coding, technical tools, and automation techniques. You will work autonomously on tasks and components of projects and professionally mentor other teammates. You will also develop and apply statistical, logical, and/or machine-learning-based data science algorithms.

The Membership Data Analyst serves as the primary data analyst for Membership and associated reporting, using the Membership database and financial systems, and as the point of contact for internal/external system data users; directly supports the administration of membership, dues, and other processes within the Association. They collect, clean, and transform data from various sources to develop clear and engaging visualizations.

The Lead Bioinformatician participates in the development and validation of cutting-edge technologies for analysis of genetic data, designing and implementing algorithms of varying complexity. They provide technical leadership, develop models for data analysis, and produce high-quality documentation for various audiences.

The AI Data Specialist will develop and maintain robust data pipelines, ensuring data quality, and performing advanced data analysis to support business objectives. They'll leverage their expertise in machine learning and data management to optimize models and automate processes, contributing to the enhancement of customer engagement strategies and overall business performance.

The Senior Data Engineer will contribute to data analytics, data operations, and software product development. They will support existing data operations and contribute to the development of new products through data analysis and creation of APIs. The candidate will work with healthcare data formats such as CMS LDS files and X12/EDI claims processing.

The Data Consultant role, within the Professional Services department, is a consultant and analyst role responsible for making strategic data-related decisions by analyzing, manipulating, tracking, managing, and reporting data. This role will provide consultative guidance for data management, assess data quality, and collaborate with stakeholders to address data gaps.

Create and maintain ELT/ETL processes for existing and new systems. Collaborate with development and business teams to understand requirements and define source system data flows. Develop and maintain ETL/ETL specifications for data integration development. Define and deliver consistent data modeling and data architecture standards, methodologies, guidelines and techniques. Document, implement and maintain the data pipeline architecture and related business processes.

Build and maintain a scalable data platform that supports multiple business functions, including engineering, legal, sales, marketing, and governance. This platform enables real-time and batch data processing, ensuring high data quality and compliance with privacy regulations.

The Cloud Data Integration Engineer will lead the design, development, and delivery of data management projects using Informatica Cloud (IDMC). This position architects and implements scalable data management solutions, ensuring data quality, consistency, and governance in the cloud environment. Responsibilities include designing MDM solutions, implementing IDQ rules, and optimizing ETL processes.

Work with Fortune 500 customers to integrate their complex data estates to maximise their value with Atlan. Guide customers through complex implementations, providing expert consultation on best practices and optimal approaches. Create seamless connections between various data systems.