Data Governance Lead - Property & Risk Insights in Worcester

Data Governance Lead - Property & Risk Insights in Worcester

Worcester Full-Time 60750 - 74250 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead data governance and ensure data integrity across property systems.
  • Company: Innovus, a leader in market services for the UK property sector.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Join a dynamic team focused on innovation and excellence.
  • Why this job: Make a real impact on data quality and security in the property industry.
  • Qualifications: Experience in data governance and strong analytical skills.

The predicted salary is between 60750 - 74250 £ per year.

Innovus in the United Kingdom is seeking a Data Governance Manager to help deliver our vision of market-leading services to the UK’s property sector.

You will lead data governance and integrity across the key safety and property systems used by the teams, and work with the Associate Directors to pro-actively manage data and reporting across the client’s portfolio.

Reporting to an Associate Director, you will oversee data quality, data security, and timely reporting to the client.

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Data Governance Lead - Property & Risk Insights in Worcester employer: Innovus

At Innovus, we pride ourselves on being an excellent employer, offering a supportive work culture that fosters professional growth and development for our Building Surveyors. With competitive salaries, comprehensive benefits, and a commitment to diversity and inclusion, we ensure our employees have the resources they need to thrive in their roles while contributing to the success of the UK's property sector.

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Contact Details:

Innovus Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Governance Lead - Property & Risk Insights in Worcester

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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Innovus.

Apply Directly through Our Website

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We think you need these skills to ace Data Governance Lead - Property & Risk Insights in Worcester

Data Governance
Data Integrity
Data Quality Management
Data Security
Reporting Skills
Stakeholder Management
Analytical 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 Innovus, 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 Innovus. 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 Innovus

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!

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Get Comfortable with Python and R

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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.