At a Glance
- Tasks: Ensure data quality and compliance with governance policies while collaborating with stakeholders.
- Company: Join Standard Life plc, a leader in the financial services industry.
- Benefits: Earn up to £50,000 with a competitive salary and great benefits.
- Other info: Opportunity to work with advanced governance tools like Collibra or Informatica.
- Why this job: Make a real impact on data quality in a flexible work environment.
- Qualifications: Strong analytical skills and experience in data governance roles required.
The predicted salary is between 30000 - 40000 £ per year.
Standard Life plc is seeking a Data Governance support professional in Edinburgh. The role involves ensuring compliance with data governance policies and working with stakeholders to monitor data quality.
Applicants should possess strong analytical skills, experience in data governance roles, and familiarity with governance tools like Collibra or Informatica.
A competitive salary up to £50,000 is offered, along with a range of benefits.
Data Governance Analyst - Flexible, Impactful Data Quality in Edinburgh employer: Standard Life plc
At Standard Life, we pride ourselves on being an exceptional employer, offering a supportive work culture that values flexibility and personal growth. With competitive benefits including up to £105,000 salary, generous annual leave, and opportunities for career development, our London-based team thrives in an environment that encourages innovation and collaboration. Join us as a Principal Cloud Architect and be part of a company dedicated to making a meaningful impact in the retirement sector while enjoying a balanced work-life approach.
StudySmarter Expert Advice🤫
We think this is how you could land Data Governance Analyst - Flexible, Impactful Data Quality in Edinburgh
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Governance Analyst - Flexible, Impactful Data Quality in Edinburgh
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 Standard Life plc, 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 Standard Life plc. 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 Standard Life plc
✨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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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 Standard Life plc!
✨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.
