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For Companies At a Glance
- Tasks: Monitor and enhance data quality for financial datasets using innovative tools and techniques.
- Company: Join a forward-thinking financial services firm committed to data excellence.
- Benefits: Enjoy competitive pay, flexible working options, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on continuous learning and development.
- Why this job: Make a real difference by ensuring data integrity and driving impactful improvements.
- Qualifications: Bachelor's degree and 3+ years in data quality or analysis, preferably in finance.
The predicted salary is between 36000 - 60000 £ per year.
What You Will Be Doing
- Data Quality Monitoring: Design, implement, and maintain data profiling, cleaning, and validation processes tailored to financial data sets. Develop automated quality checks and dashboards to continuously monitor data integrity and performance.
- Issue Identification & Resolution: Conduct in-depth root cause analysis to identify data anomalies, inconsistencies, and gaps. Collaborate with IT, data engineering, risk management, and compliance teams to resolve data issues and improve overall data governance.
- Process Improvement: Define and implement data quality standards and best practices in line with regulatory requirements (e.g., GDPR, PCI-DSS). Propose and lead initiatives to optimise data workflows and streamline data management processes.
- Reporting & Communication: Generate comprehensive data quality reports and visualisations to inform senior management and key stakeholders. Translate complex data quality metrics into actionable insights for non-technical teams.
- Data Governance & Compliance: Work alongside data stewards and data owners to ensure adherence to established data policies and procedures. Support audits and compliance checks by providing accurate and well-documented data quality documentation.
Essential Skills and Experience
- Bachelor's degree in Computer Science, Information Systems, Finance, Data Analytics, or a related field.
- 3+ years of experience in data quality management, data governance, or a data analysis role, preferably within a financial services environment.
- Hands-on experience with Snowflake leveraging its data warehousing capabilities to design, test, and maintain high-quality datasets.
- Strong SQL skills and familiarity with data manipulation.
- Experience with data visualization tools (e.g., Tableau, Power BI) and data quality/orchestration software.
- Knowledge of ETL processes and modern data warehousing concepts.
- Exceptional attention to detail with strong analytical and problem-solving abilities.
- Excellent communication and interpersonal skills to liaise effectively with diverse teams.
- Proven ability to work autonomously and as part of a collaborative team.
Desirable
- Experience with cloud-based data platforms (e.g., AWS, Azure, or Google Cloud).
- Prior exposure to data governance frameworks and regulatory requirements in the UK financial sector.
- Relevant certifications in data management or analytics (e.g., CDMP, DAMA).
Data Quality Analyst in London employer: NewDay
Contact Detail:
NewDay Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Analyst in London
✨Tip Number 1
Network like a pro! Reach out to folks in the data quality and financial services space. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the game. You never know where a casual chat might lead!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data quality projects, dashboards, and any cool SQL queries you've crafted. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge, especially around data governance and compliance. Be ready to discuss how you’ve tackled data anomalies in the past and how you’d approach challenges in this role.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Quality Analyst in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Quality Analyst role. Highlight your experience with data quality management and any relevant tools like Snowflake or SQL. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data quality and how your background makes you a perfect fit for our team. Keep it engaging and personal – we love to see your personality!
Showcase Your Achievements: When detailing your experience, focus on specific achievements rather than just duties. Did you improve data integrity or streamline processes? Quantify your successes to show us the impact you've made in previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join the StudySmarter family!
How to prepare for a job interview at NewDay
✨Know Your Data Inside Out
Make sure you’re well-versed in data quality management and the specific tools mentioned in the job description, like Snowflake and SQL. Brush up on your knowledge of data profiling, cleaning, and validation processes, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss past experiences where you identified and resolved data anomalies or inconsistencies. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical abilities.
✨Communicate Clearly and Effectively
Since the role involves translating complex data metrics for non-technical teams, practice explaining technical concepts in simple terms. This will demonstrate your communication skills and ability to work with diverse teams.
✨Familiarise Yourself with Compliance Standards
Understand the regulatory requirements relevant to the financial sector, such as GDPR and PCI-DSS. Be ready to discuss how you’ve implemented data quality standards in previous roles and how you can contribute to maintaining compliance.