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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Loans Power BI - **Company:** CareerCircle - **Location:** Hampton, VA, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Algorithm Design, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Data Visualization, Data Warehousing, Decision Support Systems, R (Programming Language), Statistical Hypothesis Testing, Iterative and Incremental Development, Intelligence Analysis, Python (Programming Language), Machine Learning, Microsoft Office, Performance Tuning, Power BI, SQL Databases, Systems Integration, Tableau (Software), Data Processing, Autodesk Mechanical Desktop, Snowflake, Model Validation, Performance Monitor, Qlikview, Data Management, Machine Learning Operations, Software Library, Databricks, Programming Languages - **Published:** August 10, 2026 - **Apply:** https://www.careercircle.com/jobs/all/all/usa/va/norfolk/9a18ebf9-71d3-4ffc-944d-c192ebb42f3e ## About the Role * An ACTIVE and MAINTAINED "SECRET" Federal or DoD security clearance. * Bachelor's degree * THREE (3) or more years of experience in data science, advanced analytics, or applied statistical modeling roles * Experience in Python, R, and SQL for data analysis, modeling, and data manipulation * Experience applying machine learning techniques and statistical methods to real-world datasets * Experience working with large, complex datasets across logistics, maintenance, supply chain, or readiness domains * Experience developing data visualizations and dashboards using Qlik or similar tools * Experience working within cloud or big data environments such as Databricks or similar platforms * Experience working in Agile or iterative development environments * Experience supporting government or defense clients (Navy experience preferred) * Ability to work onsite in a client environment as required What Would Be Nice To Have: * Familiarity with deploying models or integrating analytics into operational workflows * Strong foundation in statistics, mathematics, or quantitative analysis (e.g., regression, hypothesis testing, time series analysis) * Statistical modeling and machine learning * Ability to translate complex analytical outputs into actionable recommendations for stakeholders * Experience working alongside or within data platforms (e.g., Palantir Foundry or similar environments) is a plus * Data analysis and interpretation * Python, R, SQL programming * Data visualization (Qlik, Tableau, Power BI, etc.) * Big data platforms (Databricks, Snowflake, AWS, Azure, Palantir Foundry, etc.), Data Analysis Data Modeling AI Algorithms Time Management Problem Solving Data Collection Ancient History Microsoft Office Algorithm Design Machine Learning Edge Intelligence Advanced Analytics Data Visualization Workflow Management Statistical Analysis Technical Management Predictive Analytics Programming Languages Mathematical Modeling Intelligence Analysis Artificial Intelligence Operational Intelligence Verbal Communication Skills Python (Programming Language) ## Description Power BI, Big Data Dashboard Statistics Databricks Mathematics Supply Chain Data Science Communication Data Analysis Microsoft Azure Machine Learning Model Validation Palantir Foundry Agile Methodology Advanced Analytics Data Visualization Amazon Web Services Statistical Methods Statistical Modeling Quantitative Analysis R (Programming Language) Applied Machine Learning Exploratory Data Analysis SQL (Programming Language) Snowflake (Data Warehouse) Data-Driven Decision Making Autodesk Mechanical Desktop Python (Programming Language) Ethical Standards And Conduct Statistical Hypothesis Testing Time Series Analysis And Forecasting Iterative And Incremental Development Tableau (Business Intelligence Software), * Develop, implement, and validate statistical models and analytical methodologies to support client mission objectives * Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies in large and complex datasets * Design and deploy predictive and prescriptive models to enable data-driven decision-making * Apply advanced analytics to Navy-specific domains such as logistics, maintenance, and operational readiness * Collaborate with data engineers, developers, and stakeholders to operationalize models within production environments * Translate business questions into analytical approaches and clearly communicate findings to technical and non-technical audiences * Build and maintain reusable analytical frameworks, code libraries, and model pipelines * Apply machine learning techniques to solve classification, regression, clustering, and optimization problems * Develop dashboards and visualizations, including Qlik applications, to communicate insights and model outputs effectively * Conduct model validation, tuning, and performance monitoring to ensure accuracy and reliability * Document methodologies, assumptions, and results to support transparency and reproducibility ## 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