At CoreLogic, we are driven by a single mission—to make the property industry faster, smarter, and more people-centric. CoreLogic is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society.
CoreLogic is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it’s a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At CoreLogic, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we’re working together to set the pace for unlocking new possibilities that better serve the property industry.

JOB DESCRIPTION:

As a Data Analyst at CoreLogic, you will play a pivotal role in transforming raw data into valuable insights. You will work closely with cross-functional teams to analyze data, identify trends, and produce meaningful reports that guide business strategies. To be successful in this role you will need excellent SQL/SNOWSQL, DAX and M Language skills, excellent communication skills, and an innovative/creative thinking pattern to manage the accurate and consistent delivery of our customers and business partner’s data needs.

JOB QUALIFICATIONS:

• Bachelor’s degree in a relevant field (e.g., Data Science, Statistics, Computer Science).
• Proven experience as a Data Analyst or in a similar role.
• Strong proficiency in data analysis tools such as Excel and SQL.
• Familiarity with data visualization tools (e.g., Tableau, Power BI).
• Exceptional analytical and problem-solving skills.
• Excellent communication and presentation abilities.
• Strong attention to detail and the ability to work independently or as part of a team.
• Knowledge of the Insurance Industry and the Claims Life Cycle is a plus.
• Required to meet client demands.
  

  LI-Remote

• Collecting, cleaning, and transforming data from various sources.
• Conducting statistical analysis and data modeling to identify trends and patterns.
• Creating clear and insightful data visualizations and reports.
• Collaborating with colleagues to understand their data needs and provide solutions.
• Participating in the development of data-driven strategies and recommendations.
• Staying updated on industry trends and best practices in data analysis.