Acrisure
Finance • Insurance
Acrisure is a company that provides a wide range of insurance, risk management, and financial services solutions. They offer personal insurance, mortgages, business insurance, and employee benefit services, as well as cybersecurity and managed IT resources. Acrisure is known for expanding their reinsurance capabilities internationally and has garnered recognition such as the 'Broker of the Year' award. The company is also involved in community outreach and partnerships, such as with the Pittsburgh Steelers. Acrisure is committed to delivering innovative solutions and maintaining strong industry leadership.
10,000+ employees
Founded 2013
💸 Finance
Data Engineer
October 31
🇬🇧 United Kingdom – Remote
⏰ Full Time
🟡 Mid-level
🟠 Senior
🚰 Data Engineer
🇬🇧 UK Skilled Worker Visa Sponsor
Acrisure
Finance • Insurance
Acrisure is a company that provides a wide range of insurance, risk management, and financial services solutions. They offer personal insurance, mortgages, business insurance, and employee benefit services, as well as cybersecurity and managed IT resources. Acrisure is known for expanding their reinsurance capabilities internationally and has garnered recognition such as the 'Broker of the Year' award. The company is also involved in community outreach and partnerships, such as with the Pittsburgh Steelers. Acrisure is committed to delivering innovative solutions and maintaining strong industry leadership.
10,000+ employees
Founded 2013
💸 Finance
📋 Description
• Oversee the company data warehouse: update data in line with relevant timescales • Validate, cleanse and process monthly written policy transaction datasets • Supply data in a suitable format for relevant internal and external stakeholders • Provide and evolve general MI and KPI reporting for relevant internal and external stakeholders • Support pricing decisions through the availability of suitable performance reporting • Provide insight into areas of the business that are performing remarkably throughout the full sales and underwriting cycle
🎯 Requirements
• Proficiency in Excel • Experience in SQL, and data import/export techniques is desirable • Logical and detail-oriented. • Adaptable with a desire to learn. • Good understanding of mathematical principles.
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