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- Tasks: Manage data quality reports and ensure accuracy across systems.
- Company: Join Evolution HTD, a leader in building data capabilities for the insurance sector.
- Benefits: Enjoy hybrid work options, competitive salary, and continuous learning opportunities.
- Why this job: Gain hands-on experience with data projects and mentorship from industry experts.
- Qualifications: Proficiency in Atacama or similar tools; strong data governance knowledge required.
- Other info: Ideal for those passionate about data quality and eager to grow in a dynamic environment.
The predicted salary is between 36000 - 60000 £ per year.
Location: Hybrid
Starting Salary: Competitive
Responsibilities:
- Write and manage exception reports and data quality rules in Atacama.
- Ensure data quality across multiple systems and domains.
- Define and implement data quality metrics and improvement plans.
- Mentor junior team members (for Senior role).
Skills & Requirements:
- Proficiency in Atacama or similar data quality tools.
- Strong knowledge of data quality dimensions and governance principles.
- Experience in building data quality rules and exception reporting.
About Us:
Evolution HTD is an innovative hire, train, deploy organisation headquartered in Warrington, UK. We specialise in building data capabilities within the insurance sector.
Why Evolution:
- Dynamic Data Opportunities: Immerse yourself in hands-on experiences working directly with data projects for one or more organisations within our impressive client portfolio.
- Ongoing Data Learning: Your journey begins with intensive training in data technologies, but the learning is continuous.
- Mentoring and Coaching: Thrive under the guidance of our seasoned data experts and Technical Trainers.
Data Quality Specialist employer: Evolution
Contact Detail:
Evolution Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Specialist
✨Tip Number 1
Familiarise yourself with Atacama and similar data quality tools. Consider taking online courses or tutorials to enhance your skills, as this will show your commitment and readiness to hit the ground running.
✨Tip Number 2
Understand the key data quality dimensions and governance principles. Research common challenges in data quality management within the insurance sector to demonstrate your industry knowledge during discussions.
✨Tip Number 3
Network with professionals in the data quality field, especially those who work in the insurance sector. Attend relevant webinars or local meetups to build connections that could provide insights or referrals.
✨Tip Number 4
Prepare to discuss your experience in building data quality rules and exception reporting. Think of specific examples from your past roles that highlight your problem-solving skills and ability to improve data quality.
We think you need these skills to ace Data Quality Specialist
Some tips for your application 🫡
Understand the Role: Read the job description carefully to understand the responsibilities and skills required for the Data Quality Specialist position. Tailor your application to highlight relevant experiences that align with these requirements.
Highlight Relevant Experience: When writing your CV and cover letter, focus on your proficiency in Atacama or similar data quality tools. Provide specific examples of how you've managed exception reports and implemented data quality metrics in previous roles.
Showcase Your Skills: Emphasise your knowledge of data quality dimensions and governance principles. Mention any experience you have in mentoring junior team members, especially if you're applying for a senior role.
Craft a Compelling Cover Letter: Use your cover letter to express your enthusiasm for the role and the company. Discuss why you are interested in working with Evolution HTD and how your background makes you a great fit for their dynamic data opportunities.
How to prepare for a job interview at Evolution
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in Atacama or similar data quality tools during the interview. Be prepared to discuss specific examples of how you've used these tools to manage data quality and create exception reports.
✨Understand Data Quality Dimensions
Familiarise yourself with the key data quality dimensions and governance principles. Be ready to explain how you have applied these concepts in previous roles, as this will demonstrate your expertise and understanding of the field.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in data quality management. Think of past experiences where you defined and implemented data quality metrics or improvement plans, and be ready to share those stories.
✨Emphasise Mentoring Experience
If you're applying for a senior role, be sure to discuss any mentoring or coaching experience you have. Highlight how you've supported junior team members in their development, as this aligns with the responsibilities of the position.
