Über
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.
* 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.
Sprachkenntnisse
- English
Hinweis für Nutzer
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