Senior Data Quality & Assurance Lead β€” Hybrid in Peterborough

Senior Data Quality & Assurance Lead β€” Hybrid in Peterborough

Peterborough Full-Time 44595 - 54505 Β£ / year (est.) Home office (partial)
Internetwork Expert

At a Glance

  • Tasks: Ensure data accuracy and support informed business decisions through quality monitoring.
  • Company: Join Frontline Group, a leader in data quality and assurance.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on continuous improvement.
  • Why this job: Make a real impact on data governance and help drive business success.
  • Qualifications: Experience in data quality assurance and strong analytical skills.

The predicted salary is between 44595 - 54505 Β£ per year.

Frontline Group is seeking a Senior Data Quality & Assurance Analyst to improve data accuracy and support informed business decisions.

The role focuses on monitoring data quality across systems, identifying root causes, and implementing controls to ensure dependable data for reporting and operations.

You will collaborate with Data Engineers, data owners, and business stakeholders in a hybrid work environment, contributing to continuous improvement of data governance and quality processes.

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Senior Data Quality & Assurance Lead β€” Hybrid in Peterborough employer: Internetwork Expert

Eminent Valet is an exceptional employer that prioritises employee growth and development within a dynamic and supportive work environment. As a leading valet service provider in Canada, we offer competitive pay, performance-based tips, and a clear path for advancement, all while fostering a culture of integrity and excellence in customer service. Join us to be part of a respected team that values your contributions and provides the tools you need to succeed.

Internetwork Expert

Contact Details:

Internetwork Expert Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Senior Data Quality & Assurance Lead β€” Hybrid in Peterborough

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We think you need these skills to ace Senior Data Quality & Assurance Lead β€” Hybrid in Peterborough

Data Quality Monitoring
Root Cause Analysis
Data Governance
Collaboration Skills
Continuous Improvement
Data Accuracy
Reporting Skills

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!

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Craft a Tailored Cover Letter:For a full-time role at Internetwork Expert, 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 Internetwork Expert. 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 Internetwork Expert

✨Brush Up on Your Statistics

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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

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✨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.