Corporate Banker at Deutsche Kreditbank managing market development and product adjustments. Providing strategic sales support and conducting market analyses in a hybrid work environment.
About the role
- 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.
Benefits
- career development and progression
- supportive and engaged line management
- technical and therapeutic area training
- peer recognition and total rewards program
Job title
Job type
Experience level
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Not specified
Degree requirement
Tech skills
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