Overall Purpose of job
The Senior Systems Analyst is a senior technical specialist responsible for ensuring HR data is accurate, governed, and migration‑ready during the transition to next‑generation HR technologies such as Oracle Fusion Cloud HCM. This role leads complex data cleansing activities, enhances HR system functionality, and delivers high‑value analytics for decision‑makers using SQL, Oracle, Power BI, and Microsoft Power Apps. The post holder also plays a key role in shaping the future of HR digitization by leveraging emerging AI capabilities, including agentic agents, to automate processes, improve data quality, reduce manual effort, and support a modern, intelligent HR ecosystem.

Key responsibilities:

Data Governance & Quality
Lead projects and activities to support the end‑to‑end HR data quality uplift: profiling, validation, deduplication, and cleansing using SQL, Oracle, and other available tools.
Own data mapping, transformation logic and reconciliation ahead of Oracle Fusion migration.
Conduct mock loads, cut‑over rehearsals, error reporting, and remediation cycles.
Establish and enforce data validation and business rules to ensure accuracy and auditability.

Integrations and Data Flow
Design, develop and enhance Microsoft Power Apps to eliminate manual processes, orchestrate data refreshes, to streamline HR workflows, improve data capture quality and improve stakeholder experience.
Collaborate on integration flows across Core HR, Payroll, Talent, Learning and Finance.
Lead system data troubleshooting projects, change control, and regression testing cycles.
Collaborate with key stakeholders to define requirements and integration points between core HCM platforms, Data Lake, payroll, and reporting environments.

Analytics, MI & Self‑Service Intelligence
Build advanced executive ready Power BI dashboards, data models, and self-service data sets, and scheduled reporting to deliver business insights and support business decision making.
Translate complex workforce data into clear narratives, translating information and insights for stakeholders.
Create automated monitoring dashboards for data quality KPIs and governance compliance.
Optimise semantic models, dataset performance and apply data security best practice.

AI, Automation & Agentic Agents
Identify opportunities to embed AI‑driven automation in HR operations and lifecycle.
Work with agentic frameworks to reduce manual activity and improve BSC and HR service quality.
Guide stakeholders on where AI can enhance decision‑making and self‑service.
Ensure responsible, compliant use of AI aligned with governance standards.

Data Governance, Controls & Compliance
Work in partnership with the data governance team to embed data dictionaries, standards, and quality KPIs for Core HR and organisational structures.
Ensure GDPR/DPIA compliance and support audit readiness and remediate data integrity issues.
Support the maintenance of robust controls around access, segregation of duties, and data lineage.

Stakeholder Management & Collaboration
Act as the senior technical point‑of‑contact for data queries, system data defects and analytics requests.
Facilitate workshops, demos and training across HR, BSC, Finance and Data Governance.
Coach analysts on SQL, Power BI, Power Apps, and AI‑enabled approaches.
Act as a trusted data analytics partner to the Business Services Centre (BSC), People Services and promote a data driven culture.

Expertise and Experience

Technical (Essential)
SQL (Advanced): complex querying, optimisation, stored procedures, reconciliation scripts.
Oracle HR / Oracle Fusion Cloud HCM experience: data models, configuration, load/error handling / or other suitable HCM experience.
Power BI (Expert): data modelling, DAX, Power Query, Power automate, governance and performance tuning.
Strong understanding of HR data structures (organisational hierarchy, roles/positions, assignments, payroll attributes).
Experience of HR data cleanse and large-scale system migration.
HRIS & domain knowledge:
Integration literacy across APIs, ETL and transformation logic.

AI & Automation (Essential)
Understanding of AI concepts and automation frameworks.
Familiarity with agentic agents and autonomous workflow models.
Ability to identify suitable AI use cases and support responsible deployment.

Professional (Essential)
Strong analytical and problem‑solving capability with high attention to detail.
Excellent communication skills for translating technical topics to non‑technical audiences.
Experience leading cross‑functional workshops and supporting stakeholders.
Experience in governance or compliance‑focused environments.
Data governance: KPI dictionaries, data quality rules, lineage and data stewardship practices.

Desirable
Python (or another language such as R, C#, JavaScript) for automation and validation tooling, data wrangling, and statistical analysis.
Familiarity with Azure data tools (Synapse, Data Factory, Data bricks).
Experience with BI/AI governance frameworks.
Experience with enterprise integration tools and data lake / warehouses.

Qualifications:
Bachelor’s degree (or equivalent) in Data Science, Analytics, HR Management, Information Systems, or related field.
Professional qualification in HR (CIPD), Data Analytics (e.g., CBIP) and Microsoft data applications is desirable.
Evidence of continual professional development in data engineering / analytics or HR technology.
Willing to work towards recognised Oracle / other data certifications.

Key behaviours:

Analytical Rigor
Demonstrates meticulous attention to detail, questions anomalies, digs beneath surface figures to understand root causes, and applies structured problem-solving to complex data issues.
Proactive Ownership
Takes end-to-end responsibility for data quality and system data health—anticipating risks, initiating fixes without prompting, and following through until all stakeholders are confident in the outcome.
Collaborative Influence
Builds strong partnerships across HR, IT, Finance, Data Governance, and external vendors; listens actively, adapts communication style to the audience, and persuades through clear, data-driven insights rather than directive instruction.
Agile Adaptability
Thrives in a fast-paced environment, shifting seamlessly between urgent troubleshooting (e.g., broken data feeds, cleansing bulk data) and longer-term initiatives (e.g., governance frameworks), without losing focus or momentum.
Strategic Mindset
Balances immediate operational demands with the bigger picture—identifying where data and analytics can unlock new value and championing those projects even when tactical fires need putting out.
Continuous Learning
Keeps up with emerging HR-tech trends (AI, low-code tools, advanced BI techniques), actively experiments with new solutions, and shares best practices to elevate the team’s collective capability.
Clear Communication
Translates technical concepts into concise, non-technical narratives for senior leaders; documents processes, data definitions and decisions in a way that supports transparency and auditability.
Integrity & Confidentiality
Upholds the highest standards of data privacy and security, treats sensitive employee information with discretion, and consistently adheres to GDPR and internal data-protection policies.
Customer-Centric Service
Prioritises stakeholder needs—delivering reports and insights on time, soliciting feedback, and continuously refining tools and processes to improve usability and impact.
Resilient Tenacity
Maintains composure under pressure, perseveres through setbacks (e.g., failed migrations or tight deadlines), and uses each challenge as a learning opportunity to strengthen systems and processes.