Associate Professional, Data Analytics

CoreLogic
San Diego, CAPosted 13 April 2026

Job Description

At Cotality, we are driven by a single mission—to make the property industry faster, smarter, and more people-centric. Cotality 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. Cotality 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 Cotality, 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: • Perform analytic tasks according to the established schedules to ensure timely delivery of solutions to clients, both internal and external. • Maintain documentation in accordance with established standards. • Provide support for inquiries from external clients and internal users; gather and share information needed to facilitate complete and accurate responses in a timely fashion. • Identify and escalate potential production-related issues; provide support to troubleshoot and resolve production-related issues. • Analyze data sets and log files as needed to support production operation functions, client inquiries, issue resolution, and project work. • Create data pipelines for enriched, aggregated, etc. datasets using SQL. • Create reports; research and analyze data and report trends and communicate vital information to management. • May identify opportunities to improve established processes, procedures, and standards for efficiency and compliance with current best practices and guidelines. Job Qualifications: • Bachelor’s degree required, with a concentration in mathematics, economics or statistics preferred. • 0-5 years of directly related experience. • Strong data analysis, data quality, and/or data visualization skills required. • Experience with SQL and open source programming languages (Python, R) required. • Proficiency in Excel, Word, PowerPoint required. • Experience in data extraction, data manipulation, data visualization, and reporting preferred. • Experience with data visualization tools (Tableau) strongly preferred. • Experience with non-Windows-based operating system (Linux) and cloud platforms (e.g. Google Cloud Platform) desired. • Demonstrated success in effective communication, both verbal and written required. • Demonstrated ability to work collaboratively and effectively with others in a functional organization required. • Organization, accountability, and attention to detail required. Annual Pay Range: 0 - 0 Application Window: This opportunity is expected to remain posted through the date identified below, subject to business needs. Thrive with Cotality At Cotality, we offer more than just a job, we provide a benefits experience designed to support your whole self. From a flexible working model to competitive time off and standout health coverage with meaningful perks and growth opportunities, our package is built to help you thrive at work and in life. Highlights, depending on role classification, include: Time off: Generous PTO and 11 paid holidays, plus well-being and volunteer time off. Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend. Health: Multiple medical plan options with mental health and wellness support offerings. Retirement: 401(k) with company match and vesting after one year. Financial Perks: $400 annual well-being stipend and tuition assistance up to $5,250. Extras: Recognition Rewards, R ... (truncated, view full listing at source)
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