At a Glance
- Tasks: Lead the Abridge data warehouse project and enhance underwriting and claims processes.
- Company: Join Aviva plc, a leader in the insurance industry with a focus on innovation.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Other info: Collaborate with diverse teams and vendors to deliver measurable business outcomes.
- Why this job: Be the voice of the customer and drive impactful changes in a dynamic environment.
- Qualifications: Experience in product ownership and strong stakeholder management skills.
The predicted salary is between 63000 - 77000 £ per year.
Aviva plc is seeking a System Product Owner for data warehousing to support the Abridge data warehouse and related post-bind systems in the GCS Transformation team. You’ll represent the customer voice, align systems with stakeholder needs, and drive changes across underwriting and claims processes in a London market context. You’ll work to maintain trusted data for reporting and analytics while prioritising backlogs, coordinating with vendors and internal teams to deliver measurable business outcomes.
London Market Data Warehouse Product Owner employer: Aviva
Aviva is an excellent employer for a Senior Business Analyst, offering a dynamic hybrid working environment in Bristol or York. With a strong focus on employee growth and flexible working arrangements, Aviva fosters a collaborative culture that empowers individuals to thrive while contributing to significant transformation programmes in Third Party Risk Management. The company provides competitive benefits and the opportunity to engage in meaningful projects that drive real impact across multiple markets.
StudySmarter Expert Advice🤫
We think this is how you could land London Market Data Warehouse Product Owner
✨Get Involved in Data Science Meetups
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We think you need these skills to ace London Market Data Warehouse Product Owner
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Aviva, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Aviva. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Aviva
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Aviva!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
