Preschool Educator (Full-Time & Part-Time)

About the role

The Data Analyst will play a key role in extracting, transforming, and analyzing large complex claims and financial data to support business operations, operational reporting, and strategic decision-making. This position works in close partnership with business partners, IT teams, and stakeholders from across the organization to deliver reliable insights, maintain data quality, and enable efficient data-centric processes. This role blends strong analytical thinking with technical skills, ensuring data accuracy, performance, and usability across systems. The ideal candidate is detail-oriented, collaborative, and proficient with modern data tools, SQL, and visualization platforms.

Responsibilities

• Validation, transformation and analysis of structured and unstructured data from multiple internal and external sources, ensuring the highest standards of data accuracy and completeness.
• Perform data research, profiling, and cleansing to support reporting and operational needs.
• Analyze complex datasets and synthesize insights into actionable recommendations for business partners.
• Perform detailed reconciliation across multiple data sources to validate accuracy, investigate discrepancies, and identify root-cause variances, ensuring data integrity and reliable financial reporting.
• Build recurring and ad hoc reports to support performance tracking, compliance, and business initiatives.
• Compare and contrast data sources, trends, and historical results over time.
• Participate in resolution of data integrity gaps by working with the business owners and IT.
• Work with business partners to gather and understand functional requirements.
• Develop complex queries and report out results.
• Assist with data ingestion and integration tasks.
• Work closely with business partners, IT teams, and project management functions to understand requirements and deliver insights.
• Participate in operational or strategic discussions where data insights drive decision-making.
• Conduct root-cause analysis on data issues and collaborate with stakeholders towards long-term fixes.
• Collaborate with business partners and technical teams to understand complex workflows and data dependencies.
• Provide subject-matter expertise on data patterns, business logic, and system interoperability.
• Effectively collaborate and communicate with internal and external audit teams, providing clear explanations of data, processes, and controls while ensuring requests are addressed promptly and professionally to support a smooth and transparent audit process.
• Collaborate with multiple cross-functional teams and work on solutions which have larger impact on business.
• Establish and maintain effective working relationships, both internally and externally.
• Encourage both self and team members to continuously improve data business processes and systems, proactively suggesting ideas and solutions.
• Consistently provide exceptional customer service to both internal and external business partners.
• Demonstrate commitment to core values and commitments.
• Prioritize and organize tasks in a self-directed manner.
• Acquire and maintain comprehensive knowledge of the assigned department.
• Perform additional duties as needed, including collaborating with colleagues from other departments.

Requirements

• 5+ years of experience in data analysis, data engineering, or analytics-driven roles.
• Prior experience supporting both operational and analytical use cases.
• Experience contributing to or leading complex data initiatives.
• Knowledge of reinsurance and claims business domains is beneficial.
• Experience with BI/reporting platforms (e.g., Power BI) is a plus.
• Bachelor’s or Master’s degree in computer science, data analytics, information systems, statistics, or related field.

Skills

• Strong technical competence in Excel and data analysis tools.
• Proficiency with SQL for data extraction and manipulation and ability to understand ETL flows.
• Ability to work with disparate datasets and perform complex data matching, merging, and validation.
• Strong communication skills—able to explain findings to both technical and non-technical audiences.
• Detail-oriented, highly organized, and able to manage multiple priorities.
• Proven ability to learn through various methods, including instructor-led, self-taught, online learning, conferences, and books.
• Self-starter when required, and able to deal with vague and ambiguous requirements.
• Capable of working individually or collaboratively as part of a team.
• Customer service oriented with the capability to develop long-lasting relationships with internal and external business partners.
• Strong understanding of financial terminology and core accounting principles to accurately interpret datasets, reports, and operational metrics.