At a Glance
- Tasks: Shape and implement a data governance framework for trusted decision-making.
- Company: Join BDO UK, a leader in data governance and analytics.
- Benefits: Enjoy competitive pay, professional growth, and a supportive work environment.
- Other info: Be part of a dynamic team focused on continuous improvement.
- Why this job: Make a real impact by ensuring data quality and driving informed decisions.
- Qualifications: Strong analytical skills and a passion for data governance.
The predicted salary is between 40000 - 50000 £ per year.
BDO UK is seeking a Data Governance Analyst to join the Data Office.
You will shape and implement a data governance framework ensuring trusted data for key decisions, reporting to the Data Governance Manager.
You will drive data quality, data sourcing, access, and the data glossary/catalogue, while promoting continuous improvement and risk-informed decision making across the business.
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Data Governance Analyst: Shape Trusted Data for Decisions in London employer: BDO UK
As an Audit Learning and Development Assistant Manager/Manager, you will thrive in a dynamic work culture that prioritises innovation and collaboration. Our commitment to employee growth is evident through tailored learning interventions and the opportunity to engage with diverse stakeholders across multiple locations, including regular travel to London. Join us to make a meaningful impact while enjoying a supportive environment that champions professional development and operational excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Data Governance Analyst: Shape Trusted Data for Decisions in London
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We think you need these skills to ace Data Governance Analyst: Shape Trusted Data for Decisions in London
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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✨Brush Up on Your Statistics
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