обновлено 5 дней назад
Data Insights Analyst (Insurance)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Insights Analyst (Insurance): Developing reporting solutions, data visualisations, and analytical insights for the health insurance market with an accent on customer behaviour, market performance, operational trends, and data quality. Focus on analysing complex datasets with SQL, defining performance indicators, communicating recommendations to stakeholders, and supporting data-driven decisions.
Location: Home - UK, England
Company
is a global, employee-owned insurance group with 24,000 employees across more than 56 countries, serving personal and commercial insurance clients through data-driven advisory services.
What you will do
- Develop, maintain, and enhance reporting solutions, dashboards, data visualisations, and data storytelling outputs.
- Analyse customer behaviour, market performance, operational trends, risks, opportunities, and key performance drivers in the health insurance market.
- Validate, cleanse, and monitor data to ensure accuracy, consistency, and reliability.
- Gather stakeholder requirements, understand business challenges, and improve analytical solutions based on feedback.
- Support the definition and interpretation of key performance indicators aligned with strategic and operational objectives.
- Present analytical findings and recommendations clearly to technical and non-technical stakeholders.
Requirements
- Experience applying statistical and analytical techniques to generate insights and support data-driven decision-making.
- Experience developing reports and dashboards using Power BI or similar business intelligence tools.
- Strong SQL skills for extracting, manipulating, and analysing large and complex datasets.
- Excellent communication, stakeholder management, problem-solving, and presentation skills.
- Interest in insurance products and how data supports underwriting, pricing, distribution, and operational performance.
- Degree in Mathematics, Statistics, Data Science, Computer Science, or another relevant quantitative discipline.
Nice to have
- Exposure to Databricks and modern data platforms.
- Familiarity with data warehousing, data modelling, and cloud-based analytics environments.
- Experience using Python, R, or other analytical programming languages for data analysis and automation.
- Experience analysing customer, behavioural, operational, or product data.
- Experience with project and delivery management tools such as Azure DevOps.
Culture & Benefits
- Employee-owned organisation with a collaborative, people-first culture.
- Opportunities for career progression, volunteering, sustainability initiatives, and work-life balance.
- Commitment to diversity, inclusion, and positive impact at work and beyond.
- Reasonable adjustments may include software, IT, office setup, flexible hours, or hybrid working where the position allows.
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