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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 NewDay, a diverse and inclusive employer committed to a vibrant workplace culture.
- Benefits: Enjoy a competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by ensuring data integrity and driving process improvements in finance.
- Qualifications: Bachelor's degree and 3+ years in data quality management or analysis, preferably in finance.
- Other info: Collaborative environment with a focus on diversity and support for all applicants.
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.
Your Skills and Experience – Essential
- 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.
Your Skills and Experience – 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).
At NewDay, we value all types of diversity. We're an equal opportunity employer and believe that our differences create a vibrant, authentic working culture. We want all our colleagues to feel able to bring their whole selves to work. We don't discriminate on the basis of protected characteristics or identities. We make sure that every job is crafted to be inclusive and that people with disabilities or caring responsibilities can take part in the application and interview process. Tell us if you need accommodations: We'll put reasonable adjustments in place to support you. We work with Textio to make our job design and hiring inclusive.
Permanent
Data Quality Analyst in City of Westminster employer: New Day
Contact Detail:
New Day Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Analyst in City of Westminster
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions related to data quality and governance. Use real-life examples from your experience to showcase your skills and how you’ve tackled challenges in the past.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Check out our website for roles that excite you and fit your expertise in data quality management.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Mention something specific from your conversation to show you were engaged and interested.
We think you need these skills to ace Data Quality Analyst in City of Westminster
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 profiling, cleaning, and validation processes, especially in financial contexts. We want to see how your skills align with what we’re looking for!
Showcase Your Skills: Don’t hold back on showcasing your SQL skills and experience with data visualisation tools like Tableau or Power BI. We love seeing hands-on experience, so include specific examples of how you've used these tools to improve data quality.
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read. Remember, we’re looking for strong analytical and problem-solving abilities, so let that shine through!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us. Plus, it’s super easy!
How to prepare for a job interview at New Day
✨Know Your Data Inside Out
Before the interview, dive deep into the specifics of data quality management and governance. Brush up on your knowledge of financial data sets, SQL, and tools like Snowflake. Being able to discuss your hands-on experience with these technologies will show that you're not just familiar but truly capable.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world data issues. Think of examples from your past experience where you've identified anomalies or improved data processes. Use the STAR method (Situation, Task, Action, Result) to structure your answers clearly and effectively.
✨Showcase Your Communication Skills
As a Data Quality Analyst, you'll need to translate complex data insights for non-technical teams. Prepare to demonstrate how you've successfully communicated data findings in previous roles. Bring along examples of reports or dashboards you've created to illustrate your point.
✨Understand Compliance and Governance
Familiarise yourself with relevant regulations like GDPR and PCI-DSS. Be ready to discuss how you've implemented data quality standards in line with these requirements. Showing that you understand the importance of compliance will set you apart as a candidate who takes data governance seriously.
