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Senior Data Analyst
3 months ago
About the role
As a Senior Data Analyst within the Data and Analytics team, you will form part of the team responsible for the development and improvement of the company's core datasets. Your numeracy skills, thematic knowledge, and imagination will help to drive the ongoing evolution and development of the geospatial risk datasets and maximize their commercial potential. You will have the opportunity to be creative through the development of new datasets, models, and products that deliver risk intelligence to our corporate, investor and insurance clients in line with our data strategy. You will be based in London, Bath or Edinburgh and report to the Team Lead – Geospatial Risk Analytics. We strongly encourage you to write a covering letter as part of your application.
About the day-to-day responsibilities of the role
- Supporting the update cycle of the company's geospatial risk datasets.
- Leading by example for more junior colleagues around quantitative skills, attention to detail, and quality assurance.
- Be a capable and trusted member of the Geospatial Risk Data team that can independently lead innovative projects and deliver timely, accurate results.
- Support the improvement of the datasets by synthesizing client feedback, identifying and/or creating new data sources, and implementing new approaches and methodologies.
- Supporting colleagues and clients with questions on the datasets.
- Working collaboratively with functions across the business, such as Sales, Marketing and Research teams.
*Please include a cover letter with your application.
QualificationsAbout you
- Masters level (or equivalent) qualification in a subject with a quantitative element (required)
- Technical skills: Advanced Excel skills (required), experience of using geospatial analysis tools e.g., Arc, QGIS (preferred), experience using Python for data analysis including relevant statistics and visualizations libraries (preferred).
- 5+ years of work experience in a quantitative role (required)
- Domain knowledge, either through qualifications or work experience, in one or several of human rights, politics, the environment, or economics. Relevant qualifications would include subjects such as environmental science, political science, international relations, economics etc.
- Candidates with strong domain knowledge in climate change, earth systems, natural hazards, or environment-related fields are especially preferred.
- Experience of working with large, multi-dimensional data (preferred)
- Experience working in a client-facing role with proven ability to communicate complex information to non-technical audiences (required)
*Please include a cover letter with your application.
#LI-CI1 #LI-Hybrid
Additional InformationFor over 50 years, Verisk has been the leading data analytics and technology partner to the global insurance industry by delivering value to our clients through expertise and scale. We empower communities and businesses to make better decisions on risk, faster.
At Verisk, you'll have the chance to use your voice and build a rewarding career that's as unique as you are, with work flexibility and the support, coaching, and training you need to succeed.
For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work for outstanding workplace culture in the US, fourth consecutive year in the UK, Spain, and India, and second consecutive year in Poland. We value learning, caring and results and make inclusivity and diversity a top priority. In addition to our Great Place to Work Certification, we've been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World's Best Employer and Best Employer for Women, testaments to the value we place on workplace culture.
We're 7,000 people strong. We relentlessly and ethically pursue innovation. And we are looking for people like you to help us translate big data into big ideas. Join us and create an exceptional experience for yourself and a better tomorrow for future generations.
Verisk Businesses
Underwriting Solutions — provides underwriting and rating solutions for auto and property, general liability, and excess and surplus to assess and price risk with speed and precision
Claims Solutions — supports end-to-end claims handling with analytic and automation tools that streamline workflow, improve claims management, and support better customer experiences
Property Estimating Solutions — offers property estimation software and tools for professionals in estimating all phases of building and repair to make day-to-day workflows the most efficient
Extreme Event Solutions — provides risk modeling solutions to help individuals, businesses, and society become more resilient to extreme events.
Specialty Business Solutions — provides an integrated suite of software for full end-to-end management of insurance and reinsurance business, helping companies manage their businesses through efficiency, flexibility, and data governance
Marketing Solutions — delivers data and insights to improve the reach, timing, relevance, and compliance of every consumer engagement
Life Insurance Solutions – offers end-to-end, data insight-driven core capabilities for carriers, distribution, and direct customers across the entire policy lifecycle of life and annuities for both individual and group.
Verisk Maplecroft — provides intelligence on sustainability, resilience, and ESG, helping people, business, and societies become stronger
Verisk Analytics is an equal opportunity employer.
All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability.
Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.