At a Glance
- Tasks: Lead the charge in improving asset data quality and ensure accuracy across systems.
- Company: Join Riverside, a values-driven organisation making a real impact.
- Benefits: Competitive salary with potential for increase, hybrid working, and supportive culture.
- Other info: Flexible working hours and opportunities for personal growth.
- Why this job: Make a difference by enhancing data quality that drives key decisions.
- Qualifications: Experience in data management and a passion for quality assurance.
The predicted salary is between 29025 - 35475 £ per year.
Contract Type: Permanent
Salary: £38,897 (£42,992 is achieved after 12 months successful performance in the role)
Working Hours: 35 hours per week
Working Pattern: Monday - Friday
Location: Liverpool - National / Hybrid
If you share our values and are excited about making a significant impact at Riverside, please ensure you attach a current CV and covering letter.
At Riverside we recruit to potential not just on skills and experience, so we encourage you to apply even if you don't meet all the essential criteria on the job description.
The difference you will make as Asset Data Quality Lead:
- The Asset Data Quality Lead will lead on sourcing, assessing, monitoring, and improving the quality of asset data held within structured systems and databases.
- The role focuses on ensuring asset data from internal and external sources is complete, accurate, consistent, traceable, and fit for use across asset, compliance, investment, and operational decision-making.
- Ensuring opportunities to collect, improve, or enrich asset data are identified and exploited.
- The role provides assurance on the quality of asset data entering core systems, reports quality issues and trends, supports reconciliation across multiple data sources, and ensures corrective actions are taken.
Asset Data Quality Lead employer: Riverside Group
Riverside is an exceptional employer that prioritises the growth and well-being of its employees while making a meaningful impact in the community. With a strong commitment to diversity and inclusion, competitive pay, generous benefits, and opportunities for personal development, Riverside fosters a supportive work culture that empowers individuals to thrive. Located in Liverpool's Speke area, the hybrid working model allows for flexibility, ensuring a balanced work-life experience for all team members.
StudySmarter Expert Advice🤫
We think this is how you could land Asset Data Quality Lead
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Riverside Group!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Asset Data Quality Lead at Riverside Group.
✨Leverage Professional Networks
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 Riverside Group.
✨Apply Directly through Our Website
When you find a suitable opening like Asset Data Quality Lead at Riverside 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 Asset Data Quality Lead
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 Riverside 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 Riverside 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 Riverside Group
✨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!
✨Showcase Your Projects
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 Riverside 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.
