DATA & ANALYTICS PRODUCT OWNER

Portsoken
4 months ago
Applications closed

Related Jobs

View all jobs

SAS Data Engineer

Lead Azure Databricks Engineer

GCP Finops Engineer

PEGA Developer

Senior/Lead Data Engineer

Senior Software Engineer

We are now seeking an experienced Data & Analytics Product Owner to join us on a permanent basis. The successful candidate will bring a strong technical expertise and a desire to develop in a friendly and supportive insurance company. This is a great opportunity to work with an experienced team, gaining valuable technical and business knowledge while growing into a more strategic role. You’ll be working on cutting edge technologies from the early stages of an exciting project, helping to shape and enhance our data platform. Our diverse team of data architects, data engineers and analysts is highly collaborative, goal driven, and supportive, providing an environment where knowledge sharing and professional development are actively encouraged.

We also have a hybrid working model (minimum 2 days in the office).

We recognise the business benefits of having a diverse and inclusive community. We all have something unique to bring to the table and by embracing those differences we seek to build and maintain an environment which attracts and values diversity and where everyone can develop their talents and be themselves. For us, diversity and inclusion goes above and beyond focusing on protected characteristics – we want all our colleagues to bring 100% of themselves to work. With a happy and engaged workforce we all strive to work together to be the best that we can be for the mutual benefit of ourselves and our Members.

Overall responsibility of the Role:

Take ownership of the Clubs data platform, overseeing the end-to-end process from source data to presentation, ensuring data integrity, governance, usability, and performance meet business needs.

Manage and prioritise the Data & Analytics (D&A) backlog, collaborating with stakeholders to drive continuous improvement, ensure data accuracy and timeliness, and enhance business insights.

Role Responsibilities:

  • Accountable for the design of data models through different data domains that can support analytical processes and reporting.

  • Accountable for up-to-date technical documentation in an Enterprise Architecture tool.

  • Responsible for prioritising the backlog of work for our Data Lakehouse and BI tool based on business and technical priorities/dependencies.

  • Ensure the data flows are documented and data marts reconciliation from source to reporting layer is certified.

  • Lead and collaborate with a multi-skilled team to deliver against the D&A strategy.

  • Be an ambassador for the art of the possible, ensure that structured analytical solutions are scalable and meet the business objectives whether tactical or strategic.

  • Identify and assess internal and external data sources to derive business insights, tactical decision making and hypothesis.

  • Develop fit-for-purpose, resilient, scalable and future-proof data services to meet user needs.

  • Implement data flows to connect operational systems, data for analytics and business intelligence (BI) systems.

  • Develop Key Performance Indicators and metrics that measure the performance of the data platform.

    Skills & Experience Required:

  • Bachelor’s degree in computer science, engineering or related field.

  • Experienced with cloud technologies focusing on Microsoft platform. E.g. Microsoft Azure Synapse Analytics, Google BigQuery, Snowflake, or Microsoft Azure Databricks

  • Proficient in using tools like Python, R, or SQL to automate repetitive tasks, conduct analyses, and develop custom solutions.

  • Exposure to Azure DevOps and CI/CD concepts would be beneficial.

  • Prior experience with data warehousing, modelling and analysis.

  • Good knowledge of data visualization tools like Power BI or Tableau.

  • Strong analytical and problem-solving skills with the ability to turn data into clear, actionable insights.

  • Excellent stakeholder management; builds strong relationships and communicates effectively across all levels.

  • Highly organised, self-motivated, and results-driven; able to manage workload and deliver independently or as part of a team.

  • Solid understanding of project management, SDLC, and data visualisation principles.

    Candidates must be eligible to work in the UK.

    Due to the large numbers of responses we receive, it is not possible to respond to every application. Therefore only short-listed candidates will be contacted for this particular role and if you haven’t heard from us within 3 weeks please assume you have been unsuccessful on this occasion

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Cloud Engineer Jobs in the UK: Salary, Skills, Career Paths & How to Get Hired

Cloud engineer jobs are among the fastest-growing technology roles in the UK. As organisations move infrastructure, applications and data into the cloud, demand for skilled cloud professionals continues to surge across finance, healthcare, retail, defence, government and high-growth startups. If you’re exploring a career in cloud engineering — or looking for your next role — this guide covers everything you need to know: What a cloud engineer does Types of cloud engineer jobs Required skills and certifications UK salary expectations Career progression pathways How to land a cloud engineer job in the UK Whether you’re a graduate, IT professional transitioning into cloud, or an experienced engineer looking to specialise, this article will help you position yourself competitively.

How Many Cloud Computing Tools Do You Need to Know to Get a Cloud Job?

If you are aiming for a role in cloud computing, it can feel like the skills list never ends. One job advert asks for AWS, Terraform and Kubernetes. Another mentions Azure DevOps, PowerShell and ARM templates. A third throws in Docker, Python, Linux, CI/CD, monitoring tools and security frameworks. It is no surprise that many cloud job seekers feel overwhelmed before they even apply. Here is the reality most cloud hiring managers agree on: they are not hiring you because you know every cloud tool. They are hiring you because you understand cloud concepts, can design reliable systems, manage costs, keep things secure and support real workloads. Tools matter, but only when they support outcomes. So how many cloud computing tools do you actually need to know to get a job? For most roles, the answer is far fewer than you think. This article explains what employers really expect, which tools are essential, which are role-specific, and how to focus your learning so you look capable and employable rather than scattered.

What Hiring Managers Look for First in Cloud Computing Job Applications (UK Guide)

anding a job in cloud computing can be highly competitive — especially in the UK market where demand far outpaces supply in many segments. Whether you’re aiming for roles in Cloud Engineering, DevOps, Site Reliability, Cloud Architecture, Security, Data/Analytics, or Platform Operations, hiring managers screen applications quickly and with specific priorities in mind. Hiring managers don’t read every detail at first; they scan for critical signals in the first 10–20 seconds. These early signals determine whether your CV gets read more closely, whether your LinkedIn profile gets clicked, and whether you’re invited to interview. This guide breaks down, in practical terms, exactly what hiring managers look for first in cloud computing applications — and what you should emphasise in your CV, cover letter and portfolio to stand out on www.cloudcomputingjobs.co.uk .