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Remote Data Analyst

Integrity WindowsRemoteL3 JuniorSeptember 4th, 2026
Data Analyst IApplied General Agency Location: Remote About Applied General Agency Applied General Agency was founded by Patrick Rodriguez in 1993. Headquartered in Anaheim, California, AGA has become one of the largest Medicare-focused independent marketing organizations in the nation. AGA was created with the intention of providing unparalleled value to overworked agents who had more obligations than time. With the support of a full back-office team, AGA has the vision and tools to make quality agents even more successful. AGA has grown to support close to 10,000 agents in serving the needs of half a million Americans nationwide.Job SummaryAGA is seeking a Data Analyst I to support the business by extracting, analyzing, and visualizing data to identify trends and inform decision-making. In this role, you will collaborate with cross-functional teams to understand their data needs and deliver actionable insights through reports and dashboards. This is a great opportunity for a detail-oriented individual with a passion for data to contribute to AGA's success.Primary Responsibilities:Data Extraction & Cleaning: Gather data from various internal and external sources, ensuring data accuracy and integrity through cleaning, validation, and transformation. Reporting & Dashboard Development: Design, develop, and maintain interactive dashboards and reports using Power BI to visualize key performance indicators (KPIs). Ad-Hoc Reporting & Analysis: Respond to ad-hoc data requests from business stakeholders, providing timely and accurate reports based on user requests.Documentation: Document data sources, methodologies, and analytical processes to ensure transparency and reproducibility. Collaboration withBusiness Stakeholders: Partner with business users to understand their data needs and translate them into analytical solutions.Support Financial Forecasting: Assist in the development and refinement of financial forecasting models by providing data analysis and insights.Process Improvement: Identify and implement opportunities to automate manual reporting processes to improve operational efficiency. Primary Skills & Requirements:Education:Bachelor's degree in a quantitative field such as statistics, mathematics, computer science, economics, or a related field.Experience:0-2 years of experience in data analysis or related role.Programming Proficiency: Working knowledge of at least one programming language for data analysis (Python, R, or similar tool).Database Skills: Knowledge of database & data warehouse structure, experience using SQL for data extraction and manipulation a plus.Data Visualization: Strong skills in Microsoft Power BI for creating interactive dashboards and visualizations.Analytical Skills: Solid understanding of statistical concepts and techniques.Communication Skills: Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences.