At a Glance
- Tasks: Lead data quality initiatives and collaborate with teams to enhance data integrity.
- Company: Join a forward-thinking organisation committed to data excellence.
- Benefits: Hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Be part of a diverse team focused on continuous improvement and collaboration.
- Why this job: Make a real impact on data quality and drive innovation in a dynamic environment.
- Qualifications: Experience in data analysis, SQL proficiency, and strong communication skills.
The predicted salary is between 56700 - 69300 £ per year.
Job Location: London or Ipswich UK/ Hybrid
Job Type: FTC (6 months duration)
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.
- Data Mapping & Process Improvement: Map critical data flows throughout the insurance lifecycle (submission, quote, bind, policy, claims) to identify process inefficiencies, duplication, and opportunities for quality enhancement.
- Presentation & Storytelling: Develop impact presentations and communicate complex data insights clearly and persuasively to diverse audiences.
- Cross-Functional Partnership: Build and maintain productive relationships with global technology teams, particularly source system delivery leads, to define system and process improvements.
- Team Leadership & Coordination: Lead virtual, cross-disciplinary teams by coordinating activities across Transformation, Data Management, and Data Quality functions.
- Project & Budget Management: Plan, execute, and oversee projects from initiation to closure, ensuring delivery within scope, schedule, and budget constraints.
- Progress Monitoring & Reporting: Advocate for systemic data quality improvements across the organisation by promoting best practices and system fixes.
- Performance Measurement & Reporting: Develop metrics and KPIs to evaluate data quality improvements.
What you’ll bring:
At our company, we view individuals holistically through their People, Business, and Technical Skills. We’re interested in what you bring, how you think, and your potential for growth. We value diverse perspectives, recognising that each person contributes uniquely to our team's success. We welcome candidates with relevant education and experience in a related field, as well as those with diverse educational backgrounds or equivalent experience.
Here are some of the key skills important for the role:
- PEOPLE Skills: Customer Centricity, Cross Functional Collaboration, Analytical & Strategic Mindset, Emotional Intelligence, Resilience, Growth Mindset.
- BUSINESS Skills: Business & Insurance Acumen, Business & Process Improvement, Stakeholder Management.
- Technical Skills: Quantitative Data Analysis & SQL Expertise, Commercial Insurance Domain Knowledge, Effective Communication & Presentation, Project Management & Process Improvement, Data-Driven Mindset & Curiosity, Negotiation & Influence, Process Improvement Methodologies, User-Centered Design & Agile Practices, Data Management & Governance.
Data Quality Improvement Manager in England employer: FalconSmartIT
FalconSmartIT is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong focus on employee growth, we offer extensive training and development opportunities, ensuring our team members are equipped to excel in their roles. Join us to be part of a dynamic environment where your contributions directly impact transformative projects, making your work both meaningful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Data Quality Improvement Manager in England
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like FalconSmartIT before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
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We think you need these skills to ace Data Quality Improvement Manager in England
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at FalconSmartIT, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to FalconSmartIT, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab FalconSmartIT’s attention and show the tangible impact of your work.
How to prepare for a job interview at FalconSmartIT
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at FalconSmartIT.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at FalconSmartIT.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at FalconSmartIT.
