Job description
Data Intelligence Analyst
Are you ready to join an innovative organisation redefining the way we buy and sell cars?
We know just how frustrating the hunt for a new job can be. Much like the process of finding the perfect car… But look no further!
Automotive Transformation Group’s mission is to make buying cars easy and seamless for consumers, and we want your experience working with us to be just as enjoyable.
We believe in the transformative power of innovation, and with technology at our heart we love drawing on the talent and expertise of our diverse team to enhance our products. As an Automotive Transformation Group colleague, you will be supported and encouraged throughout your progression with us, and we have a wide range of departments you can explore working with.
Join us in helping some of the world’s best-known brands improve efficiency, reduce costs, and ultimately offer a first-class consumer experience. Advance your career with Automotive Transformation Group today and like your dream vehicle, you can rely on us to take you places you’ve always aspired to go.
Overall Job Purpose / Role Purpose:
The Role
An exciting position has been created for a Data Intelligence Analyst to join the Data function here at ATG. The successful Analyst will be joining an expanding team who are working on a new initiative to create a bridge between the Data Engineering team and the Reporting function, with opportunity to provide input and ideas to help shape the direction of the day to day processes and efficiency within the business.
We are looking for an enthusiastic Analyst with a passion for problem-solving, data governance and data management to work within our growing Data team. You will be responsible for a variety of work streams including generating summary tables, tagging plans and assisting with the onward development roadmap for ATG’s Data Layer product. To succeed in this role, you need to have an analytical mindset, a true understanding of complex datasets and good attention to detail.
Key Responsibilities
- Ensuring insights are comprehensible for both non-technical and technical stakeholders
- Conducting data analysis to provide insightful and actionable information to relevant stakeholders
- Highlighting any data issues or findings and offering solutions
- Compiling and analysing data sources to identify trends and patterns
- Make complicated datasets simple and easy-to-read and understand
- Scoping out BI requirements and areas of the business that may benefit from data analysis.
- Gathering end user reporting requirements, typically from the Business Intelligence or CRO teams
- Working with the Data Scientist to devise Machine Learning opportunities
- Maintaining technical documentation on the architecture of Snowplow tagging, data governance processes and database systems
- Architecting front-end and back-end user interaction tagging plans
- Research and development into any new Tableau product features
- Understanding and proposing summary table requirements to the Data Engineering team
- Developing BI analytics dashboards and reports combining multiple different data sources
- Auditing the quality of recorded data across the business to help support various data teams
- Peer reviewing other Data Analyst outputs to ensure data accuracy Conducting Research and Development exercises of any new data features that will benefit the wider business
Salary
DOE
Location
Home based
Department
Data Intelligence
Position Reports To
Head of Data Intelligence
Key Relationships:
- Head of Data Intelligence
- Technology Director
- Data Engineering
- Analytics Engineering
- Product Management
- Conversion Rate Optimisation Team Business Intelligence Team
Technical Competencies:
- Tableau
- Data Grip or equivalent
- SQL
- Mathematical and statistical knowledge
- Analytical and logical mindset Experience of data segmentation techniques
Behavioural & Personality Competencies:
- Open minded
- Good communication
- High level of accuracy and attention to detail
- Team player and collaborative
- Self-driven
- Exemplary interpersonal skills
- Organised & self-sufficient
- Logical, methodical approach to problem and issue solving
- Innovative Numerate and critical thinking
Required Experience:
- Data analysis experience
- Presentation and client communication experience Data manipulation and visualisation
Development Opportunities:
- Senior Data Intelligence Analyst Lead Data Intelligence Analyst
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Under the Equality Act 2010, we aim to be an equal opportunities employer and we are determined to ensure that no applicant or employee receives less favourable treatment on the grounds of gender, age, disability, religion, belief, sexual orientation, marital status, or race, or is disadvantaged by conditions or requirements which cannot be shown to be justifiable.