We’re a FTSE 250 Financial Services company who specialise in retirement solutions and right now, our world is moving pretty quickly. With the defined benefit buy in / buy out space growing each year, Just continues to annually grow its business by over £4bn of assets.
We are a purpose driven company with compelling and credible goals. Quite simply, we help people achieve a better later life. We achieve this by providing competitive and innovative products, services, financial advice and guidance to help our customers achieve security, certainty and provide them with peace of mind in retirement.
That’s who we are. We’re a company on a mission: to become a beacon for the entire retirement industry. Because we believe everyone deserves a fair, secure, and fulfilling retirement.
Purpose
The Senior Data Analyst collaborates with business users to create reports, dashboards, and data products that drive decision-making, support regulatory and partner reporting, and enhance internal operations. They develop and maintain data/business intelligence solutions, leveraging deep knowledge of source systems and business processes to ensure high-quality outputs.
This role also promotes data culture by advocating for advanced analytics, innovation, and best practices, while working with senior leadership to set standards across the organization. Additionally, the Senior Data Analyst mentors junior team members and supports the growth of the broader analytics community at Just.
Job Role Accountabilities
1. Technical Subject Matter Experience– To take a technical leadership role on projects with regards to the data analytics subject area relating to data product design, data modelling, SQL Server Solutions, Purview and other technologies.
2. Requirements Gathering– To work with business stakeholders to gather requirements which can be used for the purposes of data modelling and data product design and development.
3. Develop Bespoke Solutions - To develop high-quality bespoke data solutions using appropriate, industry-standard tools, technologies and languages aligned to the organizational target architecture and data strategy.
4. Technical Documentation - To ensure that high-quality documentation is developed, maintained, regularly reviewed and stored for all solutions developed and all operational processes.
5. Metadata Management– To work to collect metadata which can be added to relevant systems and solutions to improve usability.
6. Continuous Improvement– Innovates by driving continuous improvement relating technical solutions, making appropriate use of new technology and recommending process improvements that will let the team meet and exceed expectations.
7. Quality Assurance - To perform peer reviews of solutions and documentation in order to ensure that procedures and standards are followed consistently. Continuously work towards the objective of building in quality and provide appropriately tested solutions.
8. Operational Process Support - Support, execute and administrate weekly and monthly processes within the bespoke Financial Data Warehousing solutions.
9. Service Desk Requests - To act as second and third-line support in undertaking tasks assigned via Service Desk.
10. Stakeholder Engagement and Support– To engage with stakeholders through various channels (e.g. surgeries, communities of practice) with a view data platform adoption and improve data maturity within the organisation.
11. Cross Platform Knowledge - To be able to support, develop and maintain the Azure Data Platform and the legacy SQL Server Data Platform (SQL Server platform is a stretch).
12. Mentoring– To be able to mentor and lead less experienced team members.
Skills, Knowledge and Experience
The successful candidate will be able to present:
1. Demonstrable skills in the Azure Data Platform namely Fabric, Power BI, Data Bricks, ADLS Gen 2 Storage, SQL Server, Azure ML, Azure Data Factory.
2. Demonstrable experience with Microsoft, Azure and cloud applications and platforms.
3. Demonstrable skills in Data warehousing, data lakes and big data solutions.
4. Expert knowledge in the Power BI platform relating to support, administration and security.
5. Skills relating to business analysis and requirements elicitation and documentation.
6. An aptitude for data development and the ability to understand and manage complex concepts.
7. A willingness to learn new skills and adapt to new technologies.
8. Excellent data visualisation and presentation skills using commercial and/or open source software.
9. Creating credible KPIs and performance metrics.
10. Creating robust measures from operational data.
11. Operational familiarity in the use of meta-Data Management, data quality, and data stewardship tools and platforms.
12. Can quickly understand business problems and requirements and derive workable actions.
13. Strong communication and relationship building skills.
14. Ability to constructively challenge requirements and current state to increase overall value to the organisation.
15. Flexibility to adjust to multiple demands, shifting priorities, ambiguity and rapid change.
16. Financial Services background is desirable.
17. Experience of supporting end users in the adoption and effective use of Data, Data Platforms and Data Products.
18. Experience with IT development processes and delivery lifecycles; development methodology; release strategy and configuration management; development tools, and applications across full project lifecycles.
19. Experience working within an Agile environment; delivering within defined Sprints; familiarity with Agile principles ceremonies.
20. Experience in mentoring other team members to improve individual and team capability.
21. Experience in the use of data catalogues and data quality technologies.
Qualifications:
Bachelor/Master’s degree in Computer Science, Business Administration, Information Management or equivalent experience in a Data Management/Business Intelligence profession.
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