We are looking for a skilled Business Intelligence (BI) Engineer to join our team in Jenkintown, Pennsylvania. As a key contributor, you will design, develop, and implement advanced data solutions to support business analytics and decision-making processes. This role requires a strong technical background and a collaborative mindset to drive innovation and optimize data platforms.<br><br>Responsibilities:<br>• Design and implement dimensional and semantic data models to enhance business analytics and reporting capabilities.<br>• Develop and optimize data pipelines using modern orchestration tools like Apache Airflow or Azure Data Factory.<br>• Create and manage interactive dashboards and visualizations using Power BI, ensuring accuracy and usability.<br>• Leverage Microsoft Fabric architecture to integrate centralized semantic models and external data platforms.<br>• Administer cloud-based data warehouses like Azure Synapse or Snowflake, ensuring performance and scalability.<br>• Collaborate with cross-functional teams to address data governance, quality frameworks, and compliance standards.<br>• Utilize Python and data science libraries to process, analyze, and develop machine learning workflows.<br>• Implement DataOps methodologies, including CI/CD practices and version control for data solutions.<br>• Conduct advanced statistical analysis and predictive modeling to inform business strategies.<br>• Partner with stakeholders to translate technical concepts into actionable insights for diverse audiences.
We are looking for a skilled and motivated Business Analyst to join our team in Philadelphia, Pennsylvania. In this role, you will collaborate with stakeholders to address business challenges and leverage data-driven insights to inform decision-making. The ideal candidate will have a strong analytical mindset, excellent communication skills, and a passion for driving operational efficiency and growth.<br><br>Responsibilities:<br>• Partner with stakeholders to identify business challenges and explore data-driven solutions to address regulatory inquiries and operational questions.<br>• Translate complex business problems into actionable analysis and assist stakeholders in interpreting results to implement strategic steps.<br>• Work closely with Data Architects to design and deploy business intelligence tools that enhance reporting and analytics capabilities.<br>• Lead the creation, development, and maintenance of advanced dashboards, reports, queries, and AI-driven applications.<br>• Evaluate business requirements and share insights with users, offering training to ensure effective adoption of BI tools and reports.<br>• Proactively initiate projects aimed at identifying opportunities for growth, risk reduction, and improving operational efficiency.<br>• Communicate findings and strategies to senior management and enterprise staff to foster a culture of data-driven decision-making.<br>• Stay updated on industry trends and tools to continuously improve analytical methods and business intelligence practices.
<p>Our client is looking for a detail-oriented Financial Sales Analyst to join their team in the Lansdale, Pennsylvania area. This role focuses on delivering insightful financial analysis and reporting to support strategic sales initiatives in a dynamic, commodity-driven market. The ideal candidate will excel at leveraging data to enhance decision-making, optimize pricing strategies, and improve overall financial performance.</p><p><br></p><p>Responsibilities:</p><p>• Analyze weekly sales profit and loss statements to identify key variances and determine underlying causes.</p><p>• Lead budgeting and quarterly forecasting efforts, collaborating with stakeholders to ensure alignment with strategic goals.</p><p>• Partner with the Retail Sales VP and cross-functional teams on critical business initiatives.</p><p>• Provide support for pricing strategies, including broker commission reporting and margin analysis.</p><p>• Monitor commodity market trends, particularly in pork, to evaluate potential impacts on sales.</p><p>• Derive actionable insights from internal and external data to inform trade and promotional planning.</p><p>• Manage promotional accruals and maintain accurate customer and product hierarchies.</p><p>• Utilize advanced business intelligence tools to create dashboards and enhance reporting processes.</p><p>• Conduct data mining and analysis to uncover opportunities for improving financial performance.</p>
