Note: The job is a remote job and is open to candidates in USA. Asurion is seeking a Senior Data Analyst, Finance Analytics to support finance and business stakeholders through data-driven solutions. The role develops business intelligence reports, dashboards, SQL queries, data models, and AI-assisted analytics workflows while serving as a subject matter expert for assigned business units.
Responsibilities
- Model, develop, and publish Power BI reports, Power Automate Flows, and SSRS reports
- Constantly sharpen reporting tool knowledge and keep up with updates as Microsoft releases them
- Collaborate with client teams to gather project requirements, align/adjust expectations according to available resources, and deliver solutions within agreed upon timelines
- Proactively seek opportunities for both process and insight improvement and make recommendations for implementation
- As the subject matter expert, communicate analytical and technical information to project sponsors and senior level audiences
- Maintain a working knowledge of Asurion's applications and systems
- Possess excellent organizational skills, presentation skills, analytical skills, and a strong financial acumen
- Designs and deploys BI solutions using the Microsoft Power Stack (Power BI, Power Automate, Power Apps), applying AI-assisted development practices to deliver faster, higher-quality outputs aligned to business needs
- Acts as a dedicated business partner to assigned business units — proactively engaging stakeholders to understand objectives, surface relevant insights, and deliver solutions that drive measurable outcomes rather than simply fulfilling requests
- Authors, validates, and optimizes complex SQL queries across enterprise data platforms; applies AI-assisted tools to accelerate query development, improve documentation, and maintain consistent data standards
- Translates complex analytical findings into clear, outcome-focused narratives tailored to finance leadership and business stakeholders; frames insights in terms of business impact rather than technical detail
- Proactively identifies opportunities to improve processes, automate repetitive analytical tasks, and enhance insight delivery — including contributing to the team’s adoption of AI-powered workflows and tooling
- Maintains a current working knowledge of company applications, data systems, and system integration patterns relevant to the Finance data environment
- Actively uses and contributes to AI-assisted workflows including enterprise AI tools (e.g., ChatGPT Enterprise, Claude, Microsoft Copilot) to accelerate query development, data documentation, and reporting; participates in building and refining shared AI tooling for the Finance Analytics team
- Maintains and contributes to structured data documentation (table references, join logic, schema definitions, relation to business processes, and impact) that supports both human analysts and AI-assisted query development across the team
- Serves as the subject matter expert for assigned business units, building deep knowledge of their data, processes, and reporting needs
Skills
- Education Requirements: Minimum 4-year college degree in related field like Computer Science, Mathematics, Finance/Accounting, Analytics, or IT
- Some data analysis work experience preferably in the insurance or telecom industries
- Experience with Microsoft reporting tools or other equivalents (Tableau, QlikView, Oracle, etc.)
- Ability to work with large datasets, model data quickly and comprehensively, and write SQL statements
- Strong analytic/problem-solving skills, writing skills, organization skills, prioritization skills, and communication skills
- Capability to participate in multiple concurrent projects
- Education Requirements: Minimum 4-year college degree in related field (Computer Science, Mathematics, Finance/Accounting) or relevant experience
- Minimum 4 years of data analysis or any business intelligence related field
- Experience with Microsoft Power Stack (Power BI, Power Automate, Power Apps) or other equivalents (Tableau, QlikView, etc.)
- Strong proficiency with complex SQL language composition and analysis across multiple database platforms
- Proficiency with SQL across multiple dialects and distributed query engines (e.g., Trino/Presto); comfort writing and optimizing queries in large-scale enterprise data environments
- Experience working with large complex data including data modeling
- Strong analytic/problem-solving skills, writing skills, organization skills, prioritization skills and communication skills
- Capability to participate in multiple concurrent projects
- Demonstrated experience using AI tools (ChatGPT Enterprise, Microsoft Copilot, or similar) in an analytics or data development context
- Familiarity with prompt engineering concepts and practical application of large language models for data tasks (query writing, documentation, summarization)
- Experience with ERP platforms such as Microsoft Dynamics 365 Finance & Operations or similar enterprise financial systems
- Scripting or automation experience (Python or similar) applied to data workflows, documentation generation, or BI pipeline development
- Experience with Microsoft Power BI, Tableau, Oracle BI, or equivalents
- Experience with Microsoft SQL Server and experience writing SQL statements
- Experience with any Financial reporting tools (OneStream, Hyperion, etc.)
- Experience working in FP&A, Accounting, Analytics, or general business experience with exposure to these areas
- Experience with SSRS a plus, but not required
- Experience writing code using other programing languages (Python, R, etc.) a plus, but not required
- Experience with SSIS a plus, but not required
- Experience with Microsoft Power Query a plus, but not required
- Experience with Microsoft Dynamics ERP a plus, but not required
Company Overview
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