Data Quality Improvement Manager in London

Data Quality Improvement Manager in London

London Full-Time 60000 - 75000 ÂŁ / year (est.) Home office (partial)
Falcon Smart IT (FalconSmartIT)

At a Glance

  • Tasks: Drive data quality strategy and improve processes across various departments.
  • Company: Falcon Smart IT, a forward-thinking data-driven organisation.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team focused on innovation and data excellence.
  • Why this job: Make a real impact by ensuring high-quality data drives key business decisions.
  • Qualifications: Advanced SQL skills and strong stakeholder engagement abilities.

The predicted salary is between 60000 - 75000 ÂŁ per year.

We recognise that being a truly data-driven organisation is critical to our success. To enable this, we need to ensure we capture consistently high quality, actionable data relating to our clients in our source systems, to power analysis and decision-making across all our key business functions (e.g., risk, underwriting, pricing, actuarial, finance, claims, operations, etc.).

The Data Quality & Culture team within the Innovation, Data & Analytics (IDA) division is focused on driving the data quality strategy through 3 work streams: Train, Heal & Prevent.

  • Train – developing a data culture to understand the importance of data to our business, and the need to capture data “right first time” in our source systems to ensure data quality.
  • Heal – finding & fixing data errors in our systems after they occur with SQL data quality validation rules and Power BI dashboards to track quality levels and drive remediation efforts.
  • Prevent – working with Operations and IT teams, to implement “data quality by design” across various source systems & processes, to prevent manual data quality errors from occurring in the first place.

This role will be focused primarily on the ‘Prevent’ work stream.

What you’ll be doing

  • Data Analysis & SQL Proficiency - Demonstrate advanced SQL coding skills to interrogate diverse databases, enabling the identification and analysis of root causes of data quality issues. Ability to extract, join, and compare data records across multiple systems to support data integrity investigations.
  • Stakeholder Engagement & Communication - Effectively collaborate with cross-functional stakeholders across departments (e.g., Underwriting, Actuarial, Claims, Operations) to understand data workflows, identify data quality challenges, and gather requirements for improvements. Foster effective relationships to facilitate information sharing and drive data quality initiatives.
  • Data Mapping & Process Improvement - Map critical data flows throughout the insurance lifecycle (submission, quote, bind, policy).

Data Quality Improvement Manager in London employer: Falcon Smart IT (FalconSmartIT)

Falcon Smart IT is an exceptional employer that prioritises a data-driven culture, offering employees the opportunity to make a significant impact on data quality across key business functions. With a hybrid work model based in London or Ipswich, we foster a collaborative environment where innovation thrives, and employees are encouraged to grow through continuous learning and development. Our commitment to employee well-being and professional advancement makes us a rewarding place to build a meaningful career.
Falcon Smart IT (FalconSmartIT)

Contact Detail:

Falcon Smart IT (FalconSmartIT) Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Quality Improvement Manager in London

✨Tip Number 1

Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Quality Improvement Manager role.

✨Tip Number 2

Prepare for those interviews by brushing up on your SQL skills and data analysis techniques. We recommend practising common interview questions related to data quality and stakeholder engagement so you can showcase your expertise confidently.

✨Tip Number 3

Don’t forget to follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. We suggest mentioning something specific from your conversation to show your genuine interest in the role.

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals who want to drive data quality initiatives forward.

We think you need these skills to ace Data Quality Improvement Manager in London

Data Analysis
SQL Proficiency
Root Cause Analysis
Stakeholder Engagement
Communication Skills
Data Mapping
Process Improvement
Data Quality Validation
Power BI
Collaboration
Data Integrity
Problem-Solving Skills
Attention to Detail

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Quality Improvement Manager role. Highlight your SQL skills and any experience with data quality initiatives. We want to see how your background aligns with our needs!

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 you can contribute to our 'Prevent' work stream. Keep it engaging and relevant to the job description.

Showcase Your Stakeholder Engagement Skills: In your application, emphasise your ability to collaborate with cross-functional teams. We value effective communication, so share examples of how you've successfully worked with different departments in the past.

Apply Through Our Website: Don't forget to apply 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 you’re keen on joining our team!

How to prepare for a job interview at Falcon Smart IT (FalconSmartIT)

✨Know Your SQL Inside Out

Make sure you brush up on your SQL skills before the interview. Be ready to discuss how you've used SQL to tackle data quality issues in the past. Prepare examples where you’ve extracted and analysed data to identify root causes of problems.

✨Understand the Data Quality Landscape

Familiarise yourself with the concepts of 'Train', 'Heal', and 'Prevent' as they relate to data quality. Think about how you can contribute to these work streams and be prepared to share your ideas on implementing 'data quality by design'.

✨Engage with Stakeholders

Since this role involves collaboration across various departments, think about how you’ve successfully engaged with stakeholders in previous roles. Be ready to discuss specific examples of how you’ve gathered requirements and driven initiatives that improved data quality.

✨Map Out Your Process Improvement Ideas

Prepare to talk about your experience with data mapping and process improvement. Have a few examples ready where you’ve mapped critical data flows and identified areas for enhancement. This will show your proactive approach to preventing data quality issues.

Data Quality Improvement Manager in London
Falcon Smart IT (FalconSmartIT)
Location: London

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