Peiriannydd dadansoddeg arweiniol

You can:

• listen to and interpret the needs of technical and non-technical stakeholders, and manage their expectations
• manage active and reactive communication
• support or host difficult discussions within the team or with diverse senior stakeholders

You can:

• understand and help teams to apply a range of techniques for data profiling
• source system analysis from a complex single source
• bring multiple data sources together in a conformed model for analysis

You can:

• test and evaluate the feasibility of unfamiliar and emerging technologies, or familiar technologies in new data contexts
• share what you learn with the organisation, explaining potential benefits, risks, and practical considerations
• recommend, design and implement innovative data solutions based on organisation objectives, user needs, and operational constraints

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:

• ensure that the right actions are taken to investigate, resolve and anticipate problems
• co-ordinate the team to investigate problems, implement solutions and take preventive 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

Gallwch:

• dadansoddi sut mae gwasanaeth yn ffitio i lwybrau gofal ar draws sefydliadau
• gweithio gyda chlinigwyr, staff gofal, a chleifion i lunio gwasanaethau digidol
• egluro effaith penderfyniadau digidol ar ofal, diogelwch, a llwyth gwaith staff

Gallwch:

• arwain asesiadau o'r effaith ar ddiogelu data a chytundebau rhannu gwybodaeth
• cynghori timau ar sail gyfreithlon, cydsyniad, cyfrinachedd, a chadw
• ymchwilio i ddigwyddiadau ac argymell gwelliannau

Gallwch:

• diffinio rheolau a mesurau ansawdd data
• gweithio gyda darparwyr data i fynd i'r afael ag achosion sylfaenol ansawdd gwael

Gallwch:

• dylunio modelau data a setiau cyfeirio gan ddefnyddio terminolegau clinigol
• mapio rhwng terminolegau a dosbarthiadau, ac egluro cyfyngiadau mapio
• cynghori timau ar ddefnyddio terminoleg mewn cynhyrchion a dadansoddeg

Gallwch:

• gweithio gyda data wedi'i ffugenwi a chymhwyso gwiriadau datgelu cyn rhyddhau allbynnau
• adnabod pan allai data cysylltiedig neu fanwl adnabod claf

Gallwch:

• rheoli tîm yn llinell, gan osod amcanion a chynnal arfarniadau
• cefnogi llesiant a rheoli presenoldeb, perfformiad, ac ymddygiad
• cynllunio datblygiad y tîm a chynllunio olyniaeth