Principal Analyst in Technology & Data Solutions delivering advanced healthcare analytics for clinical trials in a hybrid work environment.
Responsibilities
Lead system analysis to evaluate existing processes, identify gaps, and recommend improvements for data-driven and application-based solutions.
Gather and analyze project requirements and specifications from clients and internal stakeholders (technical and non-technical) throughout the project lifecycle.
Translate business rules and stakeholder needs into actionable analytic and application design specifications leveraging internal and external data sources.
Provide product support by troubleshooting issues, analyzing root causes, and ensuring timely resolution to maintain product performance and client satisfaction.
Contribute to application design for client-facing healthcare analytics products (dashboards, apps, widgets, automated reporting) ensuring usability and scalability.
Manage development activities by coordinating with engineering teams, defining development guidelines, and ensuring adherence to timelines and quality standards.
Develop production schedules, test plans, documentation, and presentation materials that define project guidelines and milestones.
Communicate project updates directly to clients through in-person demonstrations, virtual calls, and emails; manage change requests effectively.
Coordinate internal teams (data engineers, software developers, data scientists, product managers, dashboard developers, business stakeholders) and external resources (e.g., data vendors) to ensure timely delivery.
Independently prototype analytic tools and resources for proof-of-concept scenarios, troubleshooting, and solution development.
Manage multiple, complex analytic and application development workstreams and timelines, ensuring outcomes meet or exceed client expectations.
Mentor and coach junior analysts and team members across the organization.
Requirements
Degree (BS/BA required, MS/MA preferred) in Information Systems, Statistics, Data Science, Computer Science, Engineering, or related field.
6–8 years of experience in advanced analytics, application design, and managing development processes.
Strong system design experience
Experience developing and scaling REST APIs for various platforms
Experience developing low latency, high availability applications
Ability to deliver within a fast-paced agile software development environment
Strong background in data modeling, and machine learning concepts.
Experience collaborating with both onshore and offshore product dev teams.
Strong experience with modern cloud technologies such as Azure, Oracle Cloud
Strong experience with Databases Oracle, and SQL Server
Expertise in creating custom and templated data models for operational, performance, and BI dashboards/reports.
Proficiency in SQL and scripting languages (e.g., Python, R); familiarity with JavaScript & Node.js is a plus.
Experience in application design principles and managing development cycles in an agile environment.
Solid background in data modeling, and machine learning concepts.
Experience of using Support Tools like ServiceNow, Jira.
Experience collaborating with onshore and offshore teams.
Excellent verbal and written communication skills.
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