Senior Environment Data Analyst

Company Description

At Verisk, we help the world see new possibilities and inspire change for better tomorrows. Our analytic solutions bridge content, data, and analytics to help businesses, people, and society become stronger, more resilient, and sustainable.

Job Description

About the Role

As a Senior Environment Data Analyst within the Data and Analytics team, you will be integral to the development and improvement of Verisk’s core datasets. Your expertise in numeracy, environmental issues, and commercial awareness will drive the evolution of our Environment and Climate datasets. This role offers the opportunity to be creative in developing new datasets, models, and products that deliver environmental risk intelligence. Based in London, Bath, or Edinburgh, you will report to the Head of Geospatial Risk Data. We encourage you to include a cover letter with your application.

Responsibilities

• Oversee the Environmental risk dataset, lead innovation, and ensure timely updates and improvements.
• Support the update cycle of Verisk’s global geospatial risk datasets.
• Ensure data integrity, quality, accuracy, and full auditability by validating, cross-checking, and cleaning data as needed.
• Lead by example for quantitative skills, attention to detail, quality assurance, and commercial awareness for junior colleagues.
• Independently lead innovative projects and provide timely and accurate results.
• Conduct analysis and generate insights into Verisk’s core datasets, supporting colleagues and clients effectively.
• Collaborate with various business functions including Technology, Sales, Marketing, and Research teams.

Qualifications

We are looking for a Senior Environment Data Analyst with:

• Master’s level qualification (or equivalent experience) in an environmental subject with a quantitative element (required).
• Strong domain knowledge in climate change, earth systems, natural hazards, or environment-related field (required).
• 5+ years of work experience in a quantitative role (required).
• Experience in a client-facing role with the ability to communicate complex information to non-technical audiences (required).
• Strong numeracy skills with a basic understanding of statistical principles (required).
• Commitment to data quality and attention to detail (required).
• Experience working with large, geospatial, multi-dimensional data (preferred).
• Strong interpersonal and communication skills (required).
• Ability to work independently and as part of a team (required).

Technical Skills

• Advanced Excel skills (required).
• Experience with geospatial analysis tools such as ArcGIS or QGIS (preferred).
• Experience using Python for data analysis, including relevant statistics and visualization libraries (preferred).

*Please include a cover letter with your application.

Additional Information

For over 50 years, Verisk has been a leading data analytics and technology partner to the global insurance industry. We empower communities and businesses to make informed decisions on risk, faster. At Verisk, you'll have the opportunity to use your voice and build a rewarding career with work flexibility and the support you need to succeed.

Verisk has been proudly recognized as a Great Place to Work® for our outstanding workplace culture in the US, UK, Spain, India, and Poland. We value learning, caring, and results, and make inclusivity and diversity a top priority. Additionally, we've been honored 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.

We’re 7,000 people strong, relentlessly and ethically pursuing innovation. Join us and help translate big data into big ideas for a better tomorrow.

Verisk Businesses

• Underwriting Solutions
• Claims Solutions
• Property Estimating Solutions
• Extreme Event Solutions
• Specialty Business Solutions
• Marketing Solutions
• Life Insurance Solutions
• Verisk Maplecroft

Verisk Analytics is an equal opportunity employer. We consider all qualified applicants for employment without regard to race