Data Analyst

at  Just Group

SKILLS AND EXPERIENCE

• Experience of supporting end users in the adoption and effective use of Data, Data Platforms and Data Products
• Demonstrable skills in the Azure Data Platform namely Fabric, Power BI, Data Bricks, ADLS Gen 2 Storage
• Experience with IT development processes and delivery lifecycles; development methodology; release strategy and configuration management; development tools, and applications across full project lifecycles.
• Experience working within an Agile environment; delivering within defined Sprints; familiarity with Agile principles ceremonies.
• Demonstrable experience with Microsoft, Azure and cloud applications and platforms.
• Experience in the use of data catalogues and data quality technologies
• Expert knowledge in the Power BI platform relating to support, administration and security
• Demonstrable skills in Data warehousing, data lakes and big data solutions.
• Proven skills relating to business analysis and requirements elicitation and documentation.
• An aptitude for data development and the ability to understand and manage complex concepts
• A willingness to learn new skills and adopt to new technologies.
• Excellent data visualisation and presentation skills using commercial and/or open source software.
• Creating credible KPIs and performance metrics.
• Creating robust measures from operational data.
• Operational familiarity in the use of meta-Data Management, data quality, and data stewardship tools and platforms.
• Can quickly understand business problems and requirements and derive workable actions
• Strong communication and relationship building skills .
• Ability to constructively challenge requirements and current state to increase overall value to the organisation.
• Flexibility to adjust to multiple demands, shifting priorities, ambiguity and rapid change

QUALIFICATIONS

• Bachelor/Master’s degree in Computer Science, Business Administration, Information Management or equivalent experience in a Data Management/Business Intelligence profession
• Azure Foundation Certs (AZ-900, DP-900)

PURPOSE

The primary purpose of the Data Analyst is to work collaboratively with business users to develop report, dashboards and other data that provide actionable insight for internal decision-making, support our regulatory reporting and deliver partner reports.
To enable this, the Data Analyst will work to specify, develop, deploy and maintain data/business intelligence products. The Data Analyst will also work to have a deep understanding of the source systems and business processes at Just as this will enable the production of high quality and valuable data products. Alongside this, the Data Analyst will work to elevate the data culture at Just by evangelising tooling, best practice and innovation using advanced analytics methods and tooling.

JOB ROLE ACCOUNTABILITIES

• Technical Subject Matter Experience– To be a subject matter expert regards to the data analytics subject area relating to data product design, data modelling, Purview and other technologies such as the Azure Data Platform. SME experience with SQL Server Solutions is a stretch.
• 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.
• 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.
• Technical Documentation - To ensure that high-quality documentation is developed, maintained, regularly reviewed and stored for all solutions developed and all operational processes.
• Metadata Management – To work to collect metadata which can be added to relevant systems and solutions to improve usability.
• 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 to meet and exceed expectations.
• 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.
• Operational Process Support - Support, execute and administrate weekly and monthly processes within the bespoke Financial Data Warehousing solutions.
• Service Desk Requests - To act as second and third-line support in undertaking tasks assigned via Service Desk.
• Stakeholder Engagement and Support – To engagement with stakeholders through various channels (e.g. surgeries, communities of pratice) with a view data platform adoption and improve data maturity within the organisation.
• 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).