Senior Data Analyst

Reporting to the Head of Data, this role involves close collaboration with Change Managers, Programme and Project support staff, and external partners.

Key Responsibilities:

1. Data Analysis and Visualisation: Apply tools and techniques for data analysis and visualisation, including business information tools.
2. Data Management: Identify, collect, and migrate data to and from a range of systems.
3. Data Cleaning and Aggregation: Manage, clean, abstract, and aggregate data alongside a range of analytical studies.
4. Data Manipulation: Manipulate and link different data sets.
5. Data Presentation: Summarise and present data and conclusions in the most appropriate format for users.

Key Contacts and Relationships:

• Internal: Communicate with a range of stakeholders, including Service Owners, Product Managers, and Project Teams.
• External: Work closely with the Enabling Partner and other suppliers to manage activities.
• Operational and Strategic Communication: Effectively communicate at both operational and strategic levels to related business areas, project/programme customers/stakeholders, and project colleagues.
• Collaboration: Work with Change & Technology colleagues to ensure project requirements are integrated and aligned with related developments across the organisation.
• Influence: Positively influence stakeholders at operational and middle management levels.
• Interpersonal Skills: Maintain effective working relationships with suppliers and other external actors to achieve targeted development and delivery objectives.

Essential:

• Master’s degree in Analytics, Computer Science, Data Science, Mathematics, or a related field.
• 3–5 years of industry experience in data analysis using SQL.
• A minimum of 4+ years of full-time experience in data analysis.
• Experience leading large-scale data migrations.
• Experience working at an enterprise scale.
• Background in data projects with a broad understanding of data migration, mapping, and modelling.
• Applied knowledge of data analytics and data pipelining tools and approaches across all data lifecycle stages.
• Advanced SQL knowledge.
• Experience in Python and/or R programming.
• Experience in Microsoft Data Stack (Azure/Data Factory/PowerBI/SQL Server).
• Proficiency in data visualisation tools, such as Tableau.

Desirable:

• Advanced scripting experience in R or Python.
• Ability to write and maintain moderately complex data pipelines.
• Experience in general data architecture.
• Previous experience in the Education sector.
• Knowledge of Cloud services – Dynamics 365.

Behavioural Competencies:

• Works Collaboratively: Effective teamwork and collaboration skills.
• Drives for Results: Strong focus on achieving results.
• Communicating with Impact: Excellent communication skills.
• Effective Decision Making: Ability to make informed decisions.
• Leading by Example: Demonstrates leadership qualities.

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.

If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

#4612381 - Samuel Kavanagh