Data Analyst – Global Cyber

London - One Creechurch Place

Howden

Howden is a global insurance group with employee ownership at our heart. We're experts helping clients adapt and thrive in a changing world.

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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.

We are seeking a dynamic and experienced Data Analyst to join our team, specialising in data, analytics, and insights. This pivotal role involves driving key business projects from conception to completion, to help drive forward some of our most challenging and exciting data and analytics initiatives within the Global Cyber team in the Specialty insurance division. 

 

The ideal candidate will possess a strong experience in data and business analysis within the insurance and cyber sectors. With a keen eye for detail and a passion for fostering collaborative environments, you will play a crucial role in enhancing Howden's Specialty Cyber data and analytics initiatives and fostering relationships with clients, partners, markets and across Howden. You will be a part of the Global Cyber broking team focused on delivering the best value for our clients and building your respective specialist practice. 

 

If you are a proactive problem-solver with a track record of success in delivering cyber data projects, we encourage you to apply. 

 

Responsibilities 

 

  • Solve problems and create new opportunities using data. 

  • Generate insights and build case studies for existing clients and internal teams 

  • Use specialist tools to manipulate data into meaningful and actionable insights in a timely manner 

  • Analyse data to identify trends 

  • Research new ways to make use of data 

  • Engage with other data teams across the group, including the Data team in IT and external vendors 

  • Study the different solution(s) that meet the demand, in partnership with the IT teams, and functional and technical architects. 

  • Prototype data requirements with business users and work with business stakeholders to refine requirements into technical deliverables establish a timetable for job completion 

  • Monitor developments and ensure that the implementation corresponds to needs 

  • Identify, assess, and mitigate project risks to minimize disruptions 

  • Define key performance indicators (KPIs) with specific objectives and track them regularly 

  • Create documentation where required and follow company standards  

  • Understand data warehousing principles such as Star Schemas, Reporting views, ETL  

  • Perform data profiling on different data sources to validate the accuracy and completeness of data 

  • Design the target data model based on the reporting requirements. 

  • Work closely with source system SMEs to extract the data required for the target data model 

  • Create source to target mapping document for the ETL development 

  • Represent the team in internal cyber forums with regards to project related matters. 

 

 

Knowledge/Experience 

  • Previous experience of working as a Data Analyst in data, analytics and insights roles  

  • Preference will be given to applicants who have worked in an insurance (Specialty Insurance sector; London Market and/or globally) and cyber environments 

  • Background in maths/statistics/sciences  

  • Analytical thinking for converting data requests into data products 

  • Familiar with the principles of UX/UI 

  • Knowledge of a European language is a plus 

  • Excellent communication skills are required to communicate needs with client and internal teams successfully 

  • Data mapping, data management and data operations fundamentals  

  • Experience of end-to-end process mapping/gap analysis 

  • In-depth experience in MS Excel, Python, SQL and/or R, Databricks 

  • Familiar with PowerBI and/or other visualisation tools. 

  • An engaging and inquisitive personality, always looking to solve problems and find solutions. 

 

What we offer   

  • Competitive salary & generous pensions    

  • Individual private medical cover via Bupa   

  • 26 weeks full pay maternity leave / 4 weeks full pay paternity leave   

  • Agile working arrangements   

  • A wide variety of wellbeing offers: Employee Assistance Programme, Cycle to Work (up to £5k), Digital GP services, Mental Wellbeing support apps   

 

You should apply if you want…  

  • a career that you define  

  • an access to on-the-job learning and upscale courses (e.g. Chartered Insurance Institute course and certification)   

  • to join a group that considers their people as its chief competitive advantage  

  • to be a part of the place where everyone has a voice 

  • to make a difference - not just in the workplace, but in the industry and in the wider community 

  • if you are passionate about a constantly evolving working environment and challenges 

 

Come join us!  

 

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
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Job stats:  8  2  0
Category: Analyst Jobs

Tags: Agile Databricks Data management DataOps Data Warehousing ETL Excel KPIs Power BI Python R Research SQL Statistics UX

Perks/benefits: Career development Competitive pay Flex hours Health care Medical leave

Region: Europe
Country: United Kingdom

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