Bus Data Analyst - Blue Bell, PA

BackBus Data Analyst#4735Blue Bell, Pennsylvania, United StatesApplyXFacebookLinkedInEmailCopyJob Description:The Business Data Analyst will play a critical role in supporting data-driven decision-making for core PMA business functions. This position is focused on extracting valuable insights from complex datasets, creating operational reports, and developing intuitive BI dashboards tailored to business needs. Working within an enterprise reporting structure, the analyst will perform on-demand data discovery, conduct trend analysis, and develop analytics tools that empower stakeholders with meaningful insights. By ensuring data accuracy, quality and relevance, this role will support data governance activities and continuous process improvements that align with strategic objectives.Responsibilities:Data Analysis & Business Insights * Conduct in-depth data analysis to support strategic business initiatives. * Perform trend analysis and develop predictive insights to help business teams identify patterns, risks, and opportunities. * Respond to data discovery requests and operational reports development to support key business metrics and decision-making. * Deploy best practices and make recommendations for improved understanding. * Translate complex data findings into actionable recommendations, presenting insights in a clear and meaningful way for non-technical stakeholders. Enterprise Reporting & BI Dashboard Development * Work closely with business stakeholders to understand their reporting needs, providing insights that drive data-informed decisions. * Design, develop, and maintain interactive BI dashboards tailored to answering critical business questions, providing real-time access to critical metrics and performance insights. * Utilize enterprise BI tools to create data visualizations that enable easy exploration of data and insights. * Partner with stakeholders to test and refine dashboards, ensuring they align with business requirements and enhance decision-making capabilities. * Facilitate training and support for business users on BI dashboards and reporting tools, enabling self-service access to data insights. Data Quality Support & Validation * Collaborate with data governance and data engineering teams to ensure high data quality and integrity in enterprise reports and dashboards. * Perform data validation and verification as part of report development to ensure data accuracy, consistency, and relevance for business users. * Monitor data accuracy metrics and support data issue resolution, maintaining a high standard of data quality across reporting tools. * Demonstrate commitment to Company's Code of Business Conduct and Ethics, and apply knowledge of compliance policies and procedures, standards and laws applicable to job responsibilities in the performance of work.Requirements:* 3+ years of experience in data, analytics, or business intelligence. * Bachelor's degree in Information Management, Data Science, Computer Science, Mathematics, Statistics, Economics, Psychology or a related field. * Proficient in SQL for data extraction and manipulation across various data sources. * Strong analytical skills to interpret complex datasets and draw actionable insights. * Experience with BI platforms like QlikSense or Power BI for data visualization and dashboard development. * Familiar with advanced Excel functions for data manipulation and reporting. * Understanding of statistical methods and trend analysis for identifying patterns and creating projections. * Familiar with predictive modeling or basic machine learning concepts is a plus. * Proficiency with scripting languages or tools (such as Python, R, or VBA) for process automation is a plus. * Basic understanding of data integration, ETL processes, and data warehousing concepts. * Skilled in presenting data in a way that tells a compelling story and drives informed decision-making. * Strong interpersonal skills to work effectively with cross-functional teams in underwriting, finance, and IT. * High level of precision in data analysis, ensuring reports and insights are accurate and free of errors. * Analytical mindset to investigate data challenges, identify root causes, and develop efficient solutions. * Ability to adapt to evolving data requirements and troubleshoot issues with minimal supervision. * Strong organizational skills to balance multiple projects and meet reporting deadlines. * Effective time management to handle ad hoc requests and prioritize tasks in a fast-paced environment. * Open and motivated to learn new tools, methods, and data practices.