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- Tasks: Ensure data accuracy and consistency while collaborating with department leads.
- Company: Join a dynamic team in the Financial Services sector focused on data quality.
- Benefits: Enjoy a hybrid work model with flexible office days and corporate perks.
- Why this job: Make a real impact on data quality and work with cutting-edge tools like Tableau and Power BI.
- Qualifications: Strong background in data quality management and experience with data governance required.
- Other info: This is a permanent role with opportunities for professional growth.
Data Quality Analyst Looking to recruit a Data Quality Analyst with ideally experience in the Financial Services sector. You will be tasked with ensuring the accuracy, validity, consistency, completeness, timeliness, uniqueness of data across the business. You must have a strong background in collaboration as you will working across alongside department leads to ensure across the business on data quality issues and work with the business to identify and fix any data quality related issues. Key Areas are to Strong experience of understanding in owning and managing data quality issues from inception to resolution addressing the root cause. Strong experience of understands data quality metrics and own the data quality dashboard including producing reports up to exec level. Knowledge of data governance and data quality framework Strong understanding and experience in Data Migration Experiencing of chairing a data quality working group or similar Work closely with IT and the business by undertaking the following: data profiling, cleansing and validation exercise Strong experience in developing dashboards, preferably using tools such as Tableau, Power BI, or similar This is hybrid permanent role and you will be expected to go in the office 1 / 2 days a week
Data Quality Analyst employer: Experis
Contact Detail:
Experis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Analyst
✨Tip Number 1
Familiarize yourself with the specific data quality metrics and frameworks used in the Financial Services sector. This knowledge will not only help you understand the role better but also demonstrate your commitment to the industry during discussions.
✨Tip Number 2
Highlight any experience you have in data migration projects. Be prepared to discuss specific challenges you faced and how you overcame them, as this will show your problem-solving skills and understanding of data quality issues.
✨Tip Number 3
If you have experience with tools like Tableau or Power BI, be ready to showcase your dashboard development skills. Consider preparing a portfolio of dashboards you've created to illustrate your ability to present data effectively.
✨Tip Number 4
Emphasize your collaboration skills, especially if you've chaired working groups or led cross-departmental initiatives. Share examples of how you facilitated communication between teams to resolve data quality issues.
We think you need these skills to ace Data Quality Analyst
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Quality Analyst position. Highlight key responsibilities and required skills, such as experience in data governance and data quality metrics.
Tailor Your CV: Customize your CV to reflect your experience in the Financial Services sector and emphasize your skills in managing data quality issues, data migration, and developing dashboards using tools like Tableau or Power BI.
Craft a Compelling Cover Letter: Write a cover letter that showcases your understanding of data quality frameworks and your collaborative experience with department leads. Mention specific examples of how you've addressed data quality issues in the past.
Highlight Relevant Projects: In your application, include details about any relevant projects where you have chaired data quality working groups or conducted data profiling and cleansing exercises. This will demonstrate your hands-on experience in the field.
How to prepare for a job interview at Experis
✨Show Your Data Quality Expertise
Be prepared to discuss your experience with data quality issues in detail. Highlight specific examples where you identified and resolved data quality problems, emphasizing your understanding of metrics and dashboards.
✨Demonstrate Collaboration Skills
Since the role involves working closely with department leads, share examples of how you've successfully collaborated with cross-functional teams in the past. This will showcase your ability to communicate effectively and drive results.
✨Familiarize Yourself with Data Governance
Brush up on data governance principles and frameworks. Be ready to discuss how you've applied these concepts in previous roles, as this knowledge is crucial for ensuring data quality across the business.
✨Prepare for Technical Questions
Expect questions related to data profiling, cleansing, and validation. Review your experience with tools like Tableau or Power BI, and be ready to explain how you've used them to develop dashboards and reports for executive-level stakeholders.
