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Data Analyst

2 months ago

Milton Keynes, Milton Keynes, United Kingdom Volkswagen Financial Services Full time

This is a permanent role working full-time 35 hours per week. We offer hybrid working and you will need to work at least 1 day per week in our office and be flexible to do more than this as required. Salary starting at £46,237, Company Car scheme, discretionary bonus and 27 days holiday in addition to statutory bank holidays plus much more.

About the Role

This is a new role for our organisation and, as the IT Data Analyst, you will be supporting our company-wide data initiative by interpreting and analysing complex datasets to provide insights and support data-driven decision making. You'll also support to improve processes, solve business data challenges and support strategic decision-making across the company.

Key Responsibilities
  • You'll lead the data analysis and data modelling - conceptual, logical and physical models - across products and business areas and understanding of systems, platforms and data integration patterns.
  • Support the strategic, platform and technical leadership within the enterprise data, data engineering and data product teams to collect data from various sources, ensuring accuracy and completeness of the data.
  • Lead the definition, development, delivery of data models, data algorithms and statistical analysis to extract insights and support decisions.
  • You'll support the data product teams, data management, data architecture, enterprise data and cross-functional teams by extensively collaborating with these teams to understand business requirements and provide data-driven business solutions and services.
  • Lead the definition, development and maintains dashboards, reports, and data visualisations to communicate data findings effectively across the enterprise.
  • Collaborate closely with our data engineers, data product teams and SMEs to optimise data collection, storage, and retrieval processes.
  • Work together with data governance to monitor data quality, identify data issues and propose data cleansing or enhancement solutions.
  • Lead data exploration and data analysis by using statistical tools and techniques to explore and analyse data, identifying patterns, relationships, and trends.
Requirements
  • An advanced working data knowledge and experience working with relational databases, query authoring (SQL) as well as a working familiarity with a variety of databases.
  • Good skills and experience in data modelling and data warehousing concepts.
  • Experience of one or more data management capabilities such as extraction, ingestion, integration, transformation, virtualisation, visualisation, bi & analytics and mdm.
  • Data governance capabilities such as lineage, meta data management & data catalogues, data quality.
  • Experience of supporting and working with cross-functional teams in a dynamic environment and, working with agile teams, value streams and communities of practice.
  • Experience with Integration and data platforms such as Informatica, SAP DS, Oracle DWH and relational SQL.
  • Experience of UML, BizzDesign, Sparx EA and other relevant data modelling tools such as Erwin and ER Studio.
  • Excellent analytical and problem-solving skills to interpret complex datasets and generate meaningful data insights.
  • Ability to work with large datasets through data cleansing, pre-processing, and transformation techniques.
  • Knowledge of data visualisation best practices to effectively communicate insights.
  • Excellent skills in big data technologies across the data landscape e.g. Hadoop, Spark, Kafka, Informatica, SQL, Python, NoSQL, SAP DS.
  • Strong skills and experience with data analysis and visualisation tools such as Tableau, Power BI, and Excel.
  • Excellent analytical and problem-solving skills with an ability to articulate business requirements into more detailed data specifications for product & data development teams.
  • A high level of data & AI, data engineering, data platform design and management skills.
  • Strong written and oral communication skills with the ability to present complex data and arguments in a way that is accessible to everyone.
About Volkswagen Financial Services

Volkswagen Financial Services is committed to being an inclusive employer and we welcome applications from everyone. Diversity and Inclusion is not just a statement for us, and we are nurturing an environment where everyone can be their 100% self.