Senior Data Analytics – Property & casualty (P&C) insurance- 3-7 Years – Bangalore
Summary - Excellent opportunity for an experienced Data Analytics to join a fast-paced, growth-oriented environment. This role is ideal for someone with strong analytical skills, domain expertise (P&C), and a passion for transforming business challenges into actionable insights.
Location – Bangalore
Your Future Employer a global insurance brokerage, risk management, and consulting firm, serves communities around the globe
Requirements
• A strong background in insurance, insurance brokerage, or financial services, with a deep understanding of industry-specific data and metrics.
• Necessary analytical and technical skills to manipulate and interpret large amounts of information.
• Ability to construct visual representations of large data sets.
• Proficient in big data analysis tools, including SQL, R, or Python. Experience with visualization tools, such as Power BI.
• Strong oral and written communication skills, including an ability to simplify technical concepts and analysis for non-technical audiences.
What is in for you-
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- Strong analytical, problem-solving, communication, and interpersonal skills are essential, along with experience in Agile methodologies
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Reach us: If you think this role is aligned with your career, kindly write me an email along with your updated CV on asawari.sharangdhar@crescendogroup.in for a confidential discussion on the role.
Disclaimer: Crescendo Global is specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging memorable job search and leadership hiring experience. Crescendo Global does not discriminate based on race, religion, color, origin, gender, sexual orientation, age, marital status, veteran status or disability status.
Note: We receive a lot of applications daily, so it becomes a bit difficult for us to get back to each candidate. Please assume that your profile has not been shortlisted in case you don't hear back from us in 1 week. Your patience is highly appreciated.
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Keywords- Data Analytics , Property and casualty , Crescendo Global