Technical Data Quality Analyst

Posted 2 Days Ago
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London, Greater London, England
Mid level
Insurance
The Role
The Technical Data Quality Analyst will implement and maintain data quality frameworks, collaborate with stakeholders for requirements, develop technical data quality rules, automate validations using SQL, and perform data quality testing. They will also provide training, support data quality improvement initiatives, and document findings for remediation.
Summary Generated by Built In

Who are we?

Howden is a collective – a group of talented and passionate people all around the world. Together, we have pushed the boundaries of insurance. We are united by a shared passion and no-limits mindset, and our strength lies in our ability to collaborate as a powerful international team comprised of 18,000 employees spanning over 100 countries.

People join Howden for many different reasons, but they stay for the same one: our culture. It’s what sets us apart, and the reason our employees have been turning down headhunters for years. Whatever your priorities – work / life balance, career progression, sustainability, volunteering – you’ll find like-minded people driving change at Howden.

Technical Data Quality Analyst

The Position 

We’re looking for a Technical Data Quality Analyst to help drive forward some of our most ambitious and exciting data initiatives.

Summary of the role

Howden Group Services is looking for an experienced Technical Data Quality Analyst to support the implementation of Data Quality framework technical capabilities and to support the adoption of these across the Group. As Technical DQ Analyst you will work under guidance of Data Quality Management Capability Lead, supporting and delivering DQ analysis capabilities to large-scale insurance projects and business functions. 

Key Responsibilities 

  • Support the delivery and ongoing BAU maintenance of next gen DQM Technology
  • Collaborate with stakeholders to identify functional and technical requirements and ensure these are fed through into solution design.
  • Work with other Data Quality analysists to design, document and optimise technical data quality rules based on established standards and best practices.
  • Provide support, best practice advise and assistance with data quality tools including our inhouse application.
  • Utilise SQL to create script that automate data quality rules and validations as well as proprietary tool configuration and scripting.
  • Work closely with data engineers and technical teams to implement data quality checks within the data quality platforms.
  • Create and execute test plan to validate the implementation of the data quality rules and perform rigorous data quality testing using SQL Server to ensure data adheres to quality standards
  • Utilise SQL for reporting purposes to create and help design data quality dashboards to visualise data quality metrics for stakeholders.
  • Support and quality assure the work of other data quality analysts outside the team.
  • Champion the benefits of good Data Quality.
  • Conduct root cause analysis of data issues.
  • Provide training and support to teams on data quality tools and best practices.

Other

  • Working with a range of stakeholders develop and recommend data improvement options.
  • Document findings and collaborate with teams to develop solutions to data quality issues effectively.
  • Develop data improvement plans and support stakeholders in issue remediation
  • Contribute to the continual improvement of our data quality management framework

Key skills:

Essential

  • Self-driven and motivated
  • Experience with data quality tools (e.g. Ataccama, Informatica. IDQ, Trillium etc.).
  • Experience of working as a Data Quality Analyst, Data Engineer or similar role (at least 4 years). 
  • Strong communication skills with both business and technical partners. 
  • A self- starter and organised who can handle multiple priorities.
  • Able to articulate sophisticated technical themes to business stakeholders.
  • High attention to detail whilst understanding the bigger picture.
  • Must have SQL select query experience
  • Coding experience in common scripting languages e.g. Python
  • Strong problem-solving skills. 
  • Experience working in fast-paced environment.
  • Bachelor’s degree in quantitative fields such as mathematical, logical or similar.

Desirable

  • Insurance broking or wider Financial Services industry knowledge
  • Experience with data governance tools (e.g. Collibra, Reltio, Informatica, etc.). 
  • Any relevant qualification: Certificate in Insurance (CII Certificate)
  • Working with AI technologies e.g. LLMs
  • Producing technical specifications
  • Databricks or equivalent

The Location 

You will be based in the London City office with flexible remote working

What do we offer in return?

A career that you define. At Howden, we value diversity – there is no one Howden type. Instead, we’re looking for individuals who share the same values as us:

  • Our successes have all come from someone brave enough to try something new

  • We support each other in the small everyday moments and the bigger challenges

  • We are determined to make a positive difference at work and beyond

Reasonable adjustments

We're committed to providing reasonable accommodations at Howden to ensure that our positions align well with your needs. Besides the usual adjustments such as software, IT, and office setups, we can also accommodate other changes such as flexible hours* or hybrid working*.

If you're excited by this role but have some doubts about whether it’s the right fit for you, send us your application – if your profile fits the role’s criteria, we will be in touch to assist in helping to get you set up with any reasonable adjustments you may require.

*Not all positions can accommodate changes to working hours or locations. Reach out to your Recruitment Partner if you want to know more.

Permanent

Top Skills

SQL
The Company
Minneapolis, Minnesota
658 Employees
On-site Workplace
Year Founded: 2008

What We Do

The global reinsurance broker and risk, capital, and strategic advisor focused on relentless innovation and superior analytics for top client service. Part of Howden

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