Power BI Developer (with Property & Casualty Insurance)--Locals Only

As a Power BI Developer at our Property & Casualty Insurance company, your primary responsibilities include designing and developing interactive dashboards using Power BI, collaborating with stakeholders to identify business needs, and transforming raw data into meaningful insights. You'll also be expected to manage and optimize data models in Azure and ensure data accuracy and integrity across reports. Your role will be essential in helping the organization make informed strategic decisions based on clear, actionable data.

To qualify for the Power BI Developer role at our Property & Casualty Insurance company in Warren, NJ, candidates should possess a strong background in Power BI, QLIKVIEW, and Azure Data Lake Storage. Experience specific to the Property & Casualty Insurance industry is essential, along with proficiency in data visualization techniques and strong analytical skills. A bachelor’s degree in a related field is typically preferred, alongside proven experience in data analytics and development.

Yes, prior experience in the Property & Casualty Insurance field is necessary for the Power BI Developer role at our company. This domain-specific knowledge is crucial for understanding the unique data challenges and reporting requirements encountered in the insurance sector. It equips you to deliver tailored insights and analytics that significantly contribute to the decision-making process.

Local talent is being prioritized for the Power BI Developer position due to the hybrid work model in place, which combines remote work and in-office collaboration. By hiring individuals who reside in the NY/NJ area, we ensure that our team can easily engage in face-to-face meetings, fostering effective communication and teamwork while reducing any potential travel burdens.

As a Power BI Developer in our Property & Casualty Insurance company, familiarity with tools such as Power BI and QLIKVIEW is essential for creating insightful visualizations. Additionally, proficiency with Azure Data Lake Storage (ADLS) is required for efficient data management. Understanding data modeling principles, DAX (Data Analysis Expressions), and SQL will also enhance your ability to deliver high-quality reports and analytics.

When answering this question, provide specific examples of projects you've worked on using Power BI. Discuss the types of dashboards you created, the data sources you utilized, and how your work impacted decision-making. Highlight your proficiency in DAX calculations and how you handled complex data transformation tasks.

An effective response should outline your strategies for data validation, including any tools or techniques you use to cross-check data against known values. Describe your experience with data cleaning and quality assurance, emphasizing any specific methodologies you've implemented to maintain high standards of accuracy.

In your answer, emphasize the importance of clear communication and active listening. Describe how you initiate discussions with stakeholders to understand their needs and how you document their requirements. Provide examples of how you translated stakeholder input into actionable Power BI projects.

Address specific challenges you've encountered with Azure Data Lake Storage, such as handling large volumes of data or integrating various data sources. Discuss how you overcame these challenges through troubleshooting, continuous learning, and leveraging Microsoft documentation or community forums.

Discuss your time management skills and prioritization strategies when under tight deadlines. Share any tools or techniques you use to stay organized and how you communicate with your team and stakeholders about progress to ensure timely delivery.

Provide a detailed account of a situation where your analysis influenced a key business outcome. Explain the analysis process, the insights derived from your work, and how those insights led to strategic decisions that benefited the organization.

Discuss the importance of key metrics, user experience, and clarity in data visualization. Highlight specific design principles you follow, such as using appropriate chart types for data representation, maintaining a clean layout, and ensuring that information is easily digestible for the intended audience.

Talk about your commitment to continuous professional development. Mention specific resources you use, such as online courses, webinars, industry publications, and communities. Highlight the importance of networking with other professionals in the field.

Explain your familiarity with embedding Power BI reports into web applications or other systems. Discuss the technical requirements and the value added by integrating analytics into everyday tools used by stakeholders or clients.

Weave your passion for data analytics with a keen interest in the insurance industry. Talk about how combining these two areas drives your motivation and how you see your skills contributing to enhancing data-driven decision-making in the Property & Casualty sector.