> Markdown version of [/jobs/ext/3747029-senior-data-analyst](https://www.wearedevelopers.com/jobs/ext/3747029-senior-data-analyst). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Analyst - **Company:** Argonaut Management Services - **Location:** Palo Pinto County, TX, United States - **Experience:** Expert - **Salary:** $128,010.0 - $152,184.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Data Analysis, Data Cleansing, Information Engineering, Data Governance, Data Integrity, Data Transformation, Data Presentation, Data Structures, Data Systems, Data Warehousing, Relational Databases, Python (Programming Language), Meta-Data Management, Operational Data Store, Power BI, SQL Databases, Tableau (Software), Freeform SQL, Cloud Platform System, Snowflake, Information Technology, Data Lineage, Data Management - **Published:** October 15, 2026 - **Apply:** https://diversityjobs.com/career/18628072/Senior-Data-Analyst-Texas-San-Antonio ## About the Role * Bachelor's degree in data science, statistics, business analytics, computer science, actuarial science, finance, or a related quantitative field. * 5+ years of progressive experience in data analysis, business intelligence, analytics, regulatory reporting, or related functions within the Property & Casualty insurance industry. * Demonstrated experience supporting regulatory reporting, statutory reporting, compliance initiatives, or financial reporting processes. * Strong knowledge of insurance operations and data structures across policy, claims, underwriting, accounting, finance, or actuarial functions. * Advanced proficiency in SQL and experience working with large-scale relational databases, data warehouses, and data transformation methodologies. * Experience performing complex data analysis, reconciliation, root-cause investigation, and data quality assessments. * Ability to independently manage multiple priorities and deliver results in a fast-paced environment. * Proven ability to influence stakeholders and collaborate effectively across technical and business teams. * Strong verbal, written, presentation, and data storytelling skills., * Master's degree in quantitative, analytical, or business-related discipline. * Experience with Snowflake, Python, Power BI, Tableau, or similar analytical and visualization platforms. * Experience with data governance frameworks, metadata management, data lineage, and data quality programs. * Intermediate or advanced Property & Casualty insurance designations (CPCU, AINS, AU, API, or equivalent). * Experience partnering with Actuarial teams and supporting actuarial, financial, or regulatory reporting processes. * Familiarity with cloud-based data platforms and modern data engineering concepts. Key Competencies * Technical & Analytical Skills - Designs advanced analyses, metrics, and scalable data solutions while improving performance, quality, and reusability of datasets and reporting assets. * Business Acumen & Domain Knowledge - Applies deep Property & Casualty insurance and regulatory expertise to connect analytical work with broader business objectives and outcomes. * Problem Solving & Critical Thinking - Independently solves complex, ambiguous problems and develops analytical approaches from the ground up. * Communication & Data Storytelling - Translates complex data into clear, compelling narratives that influence business decisions and drive action. * Stakeholder Management & Influence - Builds trusted partnerships across functions, challenges assumptions constructively, and helps guide analytical priorities. * Leadership & Mentorship - Provides informal leadership through mentoring, knowledge sharing, review of analytical work, and coaching of other analysts. * Data Quality & Governance - Improves data quality standards, governance practices, and reporting controls within the domain. * Strategic Thinking & Innovation - Connects analytics to broader organizational goals and identifies high-impact opportunities for process improvement, automation, and operational effectiveness. ## Description The Senior Data Analyst plays a critical role in advancing the organization's regulatory reporting, data quality, and analytical capabilities. This position owns the end-to-end transformation of complex policy, claims, underwriting, and financial data into accurate, timely, and compliant regulatory submissions while driving improvements in data processes, governance, and reporting standards. As a senior analytical professional, this role combines advanced data analysis, data engineering, insurance domain expertise, and business insight to solve complex data challenges, influence decision-making, and identify opportunities that improve operational effectiveness and regulatory compliance. The Senior Data Analyst serves as a trusted partner to business and technical stakeholders and provides mentorship and guidance to analysts across the organization. Essential Responsibilities * Design and execute advanced analyses to support regulatory reporting, compliance initiatives, and strategic business decisions. * Transform complex business requirements into scalable data solutions, analytical frameworks, and actionable insights. * Analyze policy, claims, underwriting, financial, and operational data to ensure accuracy, completeness, consistency, and regulatory compliance. * Develop, optimize, and maintain complex SQL queries, data models, reconciliations, and datasets to improve performance, scalability, and reusability. * Partner with Data Engineering and Application teams to design and implement data enrichment, transformation, and integration solutions. * Support and enhance data platforms, reporting processes, and analytical assets using modern data technologies and best practices. * Own data preparation, validation, and reconciliation activities supporting statutory reporting, regulatory filings, annual statement reporting, premium tax reporting, market conduct examinations, audits, and ad hoc regulatory requests. * Develop deep expertise in Property & Casualty insurance operations, regulatory reporting requirements, and statutory accounting principles. * Ensure analytical outputs align with regulatory expectations and support sound business decision-making. * Translate regulatory and business requirements into sustainable data processes and controls. * Independently diagnose data quality, integration, and reporting issues across multiple systems and business functions. * Perform root-cause analysis and develop sustainable corrective actions that improve data integrity and reporting accuracy. * Design analytical approaches for complex or ambiguous business problems where requirements may be incomplete or evolving. * Identify opportunities to automate reporting, improve efficiency, and enhance data accessibility for business stakeholders. * Build strong partnerships with Compliance, Finance, Underwriting, Claims, Actuarial, MGA Operations, Applications, and Data Engineering teams. * Effectively communicate complex analytical findings to both technical and non-technical audiences. * Develop clear narratives that connect data insights to regulatory, operational, and business outcomes. * Challenge assumptions, provide data-driven recommendations, and influence prioritization of data and reporting initiatives. * Champion data governance practices and contribute to the development of data standards, controls, documentation, and definitions. * Establish and enhance data quality monitoring processes within assigned domains. * Serve as a subject matter resource for analytical methodologies, reporting practices, and regulatory data requirements. * Mentor and provide guidance to analysts by reviewing analytical approaches, sharing best practices, and supporting professional development. * Promote a culture of continuous learning, collaboration, and analytical excellence.