Senior Data & Insight Analyst
Role details
Job location
Tech stack
Job description
As a Senior Analyst you will report to the Data and Business Intelligence Manager. The Data and Information team is responsible for centralised reporting at Global Banking School. The team supports internal and external reporting, providing data and analytics to senior management to aid business decision making. It also supports business operations is daily tasks and KPI reporting.
As Senior Data & Insight Analyst, you'll play a crucial role in delivering high quality data and insights that support the performance and objectives of GBS. You will provide timely and accurate reports to the business ensuring compliance with regulatory requirements.
ROLE and RESPONSIBILITIES:
- Play a significant role the data team in managing new data projects from end-to-end, representing the data team in gathering requirements through to developing and implementing new reports.
- Engage with stakeholders to validate their requirements, review policies/procedures and present solution options
- Challenge the "Status Quo" continually seeking more efficient ways to drive meaningful actions and improvements
- Extract, prepare and collate raw data from multiple internal and external sources and analyse, interpret and edit data to produce customised reports.
- Manage and develop the delivery of interactive products including interactive dashboards, analytical tools, as well as statistical analysis and insight.
- Lead the team to design and implement surveys across the organisation and complete the analysis of survey outcomes.
- Responsible for monitoring data quality, data integrity and data governance
- Develop reports for internal and external audiences using appropriate reporting tools, including Excel and Power BI
- Work with and support colleagues across the organisation, building new & improving the existing data dashboards, graphs and visualisations.
- Maintain a good understanding of relevant policy and legislation in relation to information governance, security, and compliance
Requirements
- A good degree in a numerate subject
- Detailed knowledge of statistical techniques and data modelling
- Profound understanding of relational database architecture and querying methodologies.
- Experienced of handling and amalgamating diverse data-sets from various sources.
- Demonstrated expertise in T-SQL for data querying and transformation.
- Confidence in building relationships with internal and external stakeholders, with the ability to communicate complex data capability in a way which fully engages them in the services the Data and Information team provide
- Extensive experience in creating reports using Power BI and proficiency in utilising DAX.
- Experience of coaching and mentoring, with a willingness to share knowledge and skills
Desirable:
- Experience working in Higher Education
- Strong knowledge of Python
- Strong knowledge of Machine Learning
Benefits & conditions
Referral programme, Annual leave, Employee discount, Company pension, Cycle to work scheme, Tech scheme, * 1-day extra leave per year of service, up to a maximum of 5 days
- Workplace pension scheme
- Tuition reimbursement for career development courses
- Flexible Benefits: Cycle to Work, Workplace Nursery, Techscheme and much more
- Perks@Work discounts platform, wellbeing centre and much more
- Reward and recognition programme
- £500 award employee referral scheme
- Discretionary annual performance bonus