Senior Data Product Owner: SaaS Analytics & Finance in London

Senior Data Product Owner: SaaS Analytics & Finance in London

London Full-Time 50000 - 70000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead and enhance a SaaS Management Platform focused on data accuracy and financial modelling.
  • Company: Calero Group, a collaborative tech company driving innovation.
  • Benefits: Competitive compensation and opportunities for professional growth.
  • Other info: Join a team that values collaboration and innovation.
  • Why this job: Make a real impact by advocating for customer needs in a dynamic environment.
  • Qualifications: 5+ years in SaaS/B2B, agile delivery, and data modelling experience.

The predicted salary is between 50000 - 70000 £ per year.

Calero Group is seeking a Senior Data Product Owner to lead and enhance their SaaS Management Platform. The role centers on data accuracy and financial modeling, combined with a strong customer advocacy to ensure solutions meet genuine needs.

Ideal candidates will have 5+ years in SaaS/B2B environments, demonstrating experience in agile delivery and data modeling. The position offers competitive compensation and a chance to innovate in a collaborative culture.

Senior Data Product Owner: SaaS Analytics & Finance in London employer: Calero Group

Calero Group is an excellent employer, offering a dynamic and collaborative work culture that fosters innovation and creativity. Employees benefit from competitive compensation, opportunities for professional growth, and the chance to make a meaningful impact in the SaaS analytics and finance sector. Located in a vibrant area, the company promotes a healthy work-life balance and values customer advocacy, making it an ideal place for those looking to thrive in their careers.

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Contact Details:

Calero Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Product Owner: SaaS Analytics & Finance in London

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Apply Directly through Our Website

When you find a suitable opening like Senior Data Product Owner: SaaS Analytics & Finance at Calero Group, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Senior Data Product Owner: SaaS Analytics & Finance in London

Data Accuracy
Financial Modelling
Customer Advocacy
SaaS Management
Agile Delivery
Data Modelling
Collaboration Skills

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!

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Craft a Tailored Cover Letter:For a full-time role at Calero Group, 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 Calero Group. 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 Calero Group

Brush Up on Your Statistics

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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 Calero Group!

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.