Data Modeler - Oldbury

The Automobile Association
Oldbury
2 days ago
Create job alert

Company descriptionLocation: Oldbury (hybrid working 2-3 office days per week)nEmployment Type: Permanent, full timenAdditional Benefits: Annual BonusnJoin Our Data & Analytics Team: Transforming Data into Our Superpower!nAre you passionate about data and eager to make a significant impact? At The AA, a trusted and household name, our Data & Analytics function is at the forefront of innovation. We manage 1 petabyte of data, 500 million annual interactions, and 375 million quotes, making data our superpower. Our team is modernising our data infrastructure to a cutting-edge cloud platform, enhancing performance and enabling machine learning and GenAI.nJoin us and be part of a team that turns insights into action, driving meaningful change for our customers, colleagues, and shareholders. Together, we can make Data a lifeline of our organisation and a powerful force for the future.n#LI-HybridThis is the jobAs a Data Modeller, you will be an integral member of the Data Change delivery team, working closely with various business units and IT departments. You will create data solution designs that can be iteratively developed within an Agile framework. Your designs will represent business and data requirements for both small and large changes related to AA data platforms, ensuring alignment with architecture and design principles.What will I be doing?nCollaborate with Analysts and Architects to deliver low-level designs based on business requirements and high-level designs.nEnsure alignment of low-level designs with application architecture, high-level designs, and AA Standards, Frameworks, and Policies.nAnalyse data sets to identify modelling logic and key attributes required for low-level design, and create and maintain appropriate documentation.nDevelop and update Physical Data Models (PDMS) and participate in design reviews.nLead handover sessions to developers and testers, and estimate effort required for low-level design documentation.nProvide technical and business knowledge support to Business Analysts, and engage with the full end-to-end data development process within an Agile scrum framework.nWhat do I need?nExperienced with data warehouse and business intelligence, including delivering low-level ETL design and physical data models.nProficient in Data Warehousing Design Methodologies (e.g., Kimball dimensional models) and Data Modelling tools (e.g., ER Studio).nStrong Data Analysis skills and hands-on experience with SQL/Python for data interrogation.nWorking knowledge of Cloud-based data and analytics solutions (e.g., Microsoft Azure, Databricks, Informatica, PowerBI) and ETL/ELT technology (e.g., Informatica DEI).nProven ability to understand business processes, facilitate meetings with senior stakeholders, and translate business requirements into technical designs.nExcellent communication and presentation skills, with the ability to work independently under pressure and collaboratively within a cross-functional delivery team.nAdditional informationWe’re always looking to recognise and reward our employees for the work they do. As a valued member of The AA team, you’ll have access to a range of benefits including:nn25 days annual leave plus bank holidays + holiday buying schemenWorksave pension scheme with up to 7% employer contributionnFree AA breakdown membership from Day 1 plus 50% discount for family and friendsnDiscounts on AA products including car and home insurancenEmployee discount scheme that gives you access to a car salary sacrifice scheme plus great discounts on healthcare, shopping, holidays and morenCompany funded life assurancenDiverse learning and development opportunities to support you to progress in your careernDedicated Employee Assistance Programme and a 24/7 remote GP service for you and your familynnPlus, so much more!nWe’re an equal opportunities employer and welcome applications from everyone. The AA values diversity and the difference this brings to our culture and our customers. We actively seek people from diverse backgrounds to join us and become part of an inclusive company where you can be yourself, be empowered to be your best and feel like you truly belong. We have five communities to bring together people with shared characteristics and backgrounds and drive positive change.n#LI-HH

Related Jobs

View all jobs

Data Modeler

Data Modeler - Oldbury

Market Risk Quantitative Analytics Consultant (Contract)

Senior Principal AI/ML Engineer

Senior Data Modeller - Banking & Data Warehouse

Head of Data Architecture

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Machine Learning Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Machine learning (ML) has become an indispensable force in the modern business world, influencing everything from targeted marketing campaigns to advanced medical diagnostics. As industries integrate predictive algorithms and data-driven decision-making into their core operations, the need for effective leadership in machine learning environments has never been greater. Whether you’re overseeing a small team of data scientists or spearheading an enterprise-scale ML project, your leadership style must accommodate rapid innovation, complex problem-solving, and diverse stakeholder expectations. This guide provides actionable insights into how you can motivate, mentor, and establish achievable goals for your machine learning teams—ensuring they thrive in data-driven environments.

Top 10 Books to Advance Your Machine Learning Career in the UK

Machine learning (ML) remains one of the fastest-growing fields within technology, reshaping industries across the UK from finance and healthcare to e-commerce, telecommunications, and beyond. With increasing demand for ML specialists, job seekers who continually update their knowledge and skills hold a significant advantage. In this article, we've curated ten essential books every machine learning professional or aspiring ML engineer in the UK should read. Covering foundational theory, practical implementations, advanced techniques, and industry trends, these resources will equip you to excel in your machine learning career.

Navigating Machine Learning Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Machine learning (ML) has swiftly become one of the most in-demand skill areas across industries, with companies leveraging predictive models and data-driven insights to solve challenges in healthcare, finance, retail, manufacturing, and beyond. Whether you’re an early-career data scientist aiming to break into ML, a seasoned engineer branching into deep learning, or a product manager exploring AI-driven solutions, machine learning career fairs offer a powerful route to connect with prospective employers face-to-face. Attending these events can help you: Network with hiring managers and technical leads who make direct recruitment decisions. Gain insider insights on the latest ML trends and tools. Learn about emerging job roles and new industry verticals adopting machine learning. Showcase your interpersonal and communication skills, both of which are increasingly important in collaborative AI/ML environments. However, with many applicants vying for attention in a bustling hall, standing out isn’t always easy. In this detailed guide, we’ll walk you through how to prepare meticulously, pitch yourself confidently, ask relevant questions, and follow up effectively to land the machine learning opportunity that aligns with your ambitions.