Digital Specialist Analytical Development

Requirements

Mission:

Support the digital transformation of the Analytical
Development department, by acting as a data domain expert and business
counterpart to data engineering, assessing needs, designing optimised processes
and associated data flow, evaluating or developing digital solutions, ensuring
successful deployment and adoption by end users. Additionally, ensure that data
generated across Analytical Development is high quality, contextualised, and
regulatory -ready (ALCOA+, GxP), and provide troubleshooting and lifecycle
support for digital tools in place.

Key Responsibilities

• Requirements Gathering and Business Analysis

• Collect and analyse user needs. Translate business
requirements into clear and detailed functional specifications and data requirements
(KPIs, analytical use cases, decision workflows).

• Identify gaps, inefficiencies, and improvement
opportunities within current analytical development processes and data capture practices
(missing metadata, inconsistent standards, unstructured fields)

• Build a business backlog of data/analytics needs

• Develop training materials, user guides, and standard
operating procedures related to new digital tools and processes.

• Support end users during deployment, go -live activities,
and hypercare periods.

• Collect and consolidate user feedback to drive continuous
improvement of implemented solutions.

• Translate business needs into structured data outputs,
KPIs, and analytical use cases supporting analytical development decisions

• Participate in the design of dashboards, reports, and data
products

Data & digital solution deployment support

Perform end -to -end data and process mapping. Propose
optimized workflows aligned with digital strategy, data integrity principles,
and regulatory expectations. Collaborate with subject matter experts to
validate revised processes and ensure alignment with business objectives.

Define data standards at the source (metadata requirements,
naming conventions, mandatory fields, business rules)

Validate data lineage, transformation rules, and business
logic from source systems to the data platform

Contribute to solution configuration, testing activities,
and validation activities. Ensure that selected digital solutions adhere to
data integrity, security, and regulatory compliance requirements.

Participate in defining ingestion requirements for source
systems (interfaces, frequency, critical fields, traceability).