مهندس تحليلات أول

You can:

• communicate effectively with technical and non-technical stakeholders
• support and host discussions within a multidisciplinary team, with potentially difficult dynamics
• be an advocate for the team externally
• manage differing stakeholder perspectives

You can:

• undertake data profiling and source system analysis
• present clear insights to colleagues to support the end use of the data

You can:

• experiment with unfamiliar and emerging technologies, or familiar technologies in new data contexts, with guidance
• share what you learn with the team, explaining potential benefits, risks, and practical considerations
• identify opportunities to apply technology to improve data processes or outcomes in an operational setting or the wider organisation

You can:

• build and review complex data models, ensuring adherence to standards
• use data integration tools and languages to integrate and store data, and advise teams on best practice
• ensure data for analysis meets data quality standards and is interoperable with other data sets, enabling reuse
• work with other data professionals to improve modelling and integration patterns and standards

You can:

• design an appropriate metadata repository
• suggest changes to improve current metadata repositories
• understand a range of tools for storing and working with metadata
• advise less experienced members of the team about metadata management

You can:

• initiate and monitor actions to investigate patterns and trends to resolve problems
• effectively consult specialists where required
• determine the appropriate resolution and assist with its implementation
• determine preventative measures

You can:

• lead the design, code, testing and deployment of secure, resilient and maintainable solutions
• continuously improve the codebase and reliability of solutions
• create automation to improve the software development life cycle
• work with others to implement standards and good practice to ensure security, testability and maintainability of solutions

You can:

• review requirements and specifications, and define test conditions
• identify issues and risks associated with work
• analyse and report test activities and results

You can:

• design data architecture that deals with problems spanning different business areas
• identify links between problems to devise common solutions
• work across multiple subject areas, or a single large or complicated subject area
• produce appropriate patterns

يمكنك:

• تحليل موقع خدمة ما ضمن مسارات الرعاية بين المؤسسات
• العمل مع الممارسين السريريين وموظفي الرعاية والمرضى لتشكيل الخدمات الرقمية
• شرح أثر القرارات الرقمية في الرعاية والسلامة وعبء العمل على الموظفين

يمكنك:

• تطبيق مبادئ حماية البيانات في عملك
• الإسهام في تقييمات أثر حماية البيانات
• التعامل مع طلبات المعلومات والسجلات بشكل صحيح

يمكنك:

• تحديد قواعد جودة البيانات ومقاييسها
• العمل مع مزوّدي البيانات لمعالجة الأسباب الجذرية لضعف الجودة

يمكنك:

• تصميم نماذج البيانات والمجموعات المرجعية باستخدام المصطلحات السريرية
• الربط بين المصطلحات والتصنيفات، وشرح حدود الربط
• تقديم المشورة للفرق بشأن استخدام المصطلحات في المنتجات والتحليلات

يمكنك:

• العمل ببيانات ذات ترميز مستعار وإجراء فحوص الإفصاح قبل إصدار المخرجات
• إدراك متى قد تكشف البيانات المربوطة أو التفصيلية هوية مريض