<p>We are looking for a Growth Marketing Analyst to help shape data-driven marketing strategies. This position is 5 days per week in the office. This position focuses on turning audience insights into smarter targeting, stronger campaign performance, and more effective engagement across digital channels. The ideal candidate combines analytical thinking with hands-on marketing expertise to support segmentation, persona development, and campaign optimization.</p><p><br></p><p>Responsibilities:</p><ul><li>Analyze campaign performance data and turn it into clear, actionable insights</li><li>Partner across teams to identify data gaps and help solve integration challenges at a strategic level</li><li>Support and optimize email marketing programs, including A/B testing subject lines, CTAs, and messaging</li><li>Build and refine workflows, automations, and marketing processes</li><li>Contribute to long-term growth strategy through customer insights and data trends</li><li>Expand into multi-channel execution, including paid social and digital campaigns</li><li>Examine customer and prospect intent signals from platforms such as Bombora, ZoomInfo, Lead Forensics, and marketing automation tools to uncover trends that improve digital marketing results.</li><li>Build and maintain audience segmentation frameworks, data flows, and activation processes that support targeted outreach across campaigns and channels.</li><li>Translate behavioral, engagement, and account-level insights into actionable recommendations for content alignment, product messaging, and channel strategy.</li><li>Evaluate campaign effectiveness across email, paid social, search, and other digital programs using analytics to identify growth opportunities.</li></ul>
We are looking for a Data Analyst to support data-driven decision-making for healthcare operations in Philadelphia, Pennsylvania. This is a Contract position focused on transforming complex clinical and operational data into accurate, actionable insights across EHR and billing environments. The ideal candidate will work with modern cloud and database tools to improve reporting, data integrity, and integration processes in a healthcare setting.<br><br>Responsibilities:<br>• Analyze healthcare, operational, and billing data to identify trends, exceptions, and opportunities for process improvement.<br>• Build, maintain, and optimize ETL workflows that move data across source systems, databases, and analytics platforms.<br>• Use Azure Databricks, Databricks, and SQL-based tools to prepare datasets and support scalable reporting solutions.<br>• Validate data accuracy and completeness by performing audits, reconciliation activities, and ongoing quality checks.<br>• Integrate information from EHR and EMR platforms, including Epic-related systems, to support consistent downstream reporting.<br>• Partner with business and technical stakeholders to define reporting needs and translate them into practical data solutions.<br>• Create and maintain queries, datasets, and analytical outputs using Azure SQL Database, SSMS, and related technologies.<br>• Support data processing activities across cloud environments, including AWS technologies, while following healthcare data standards.<br>• Document data logic, transformation rules, and process steps to improve transparency and maintainability of analytics workflows.
We are looking for an experienced Data Analyst to support healthcare initiatives in Philadelphia, Pennsylvania. This is a long-term contract position that requires strong analytical skills and a focus on fraud detection and prevention. The ideal candidate will leverage data-driven insights to enhance decision-making and ensure the integrity of healthcare operations.<br><br>Responsibilities:<br>• Conduct detailed data analyses to identify patterns of suspected fraud and anomalies in healthcare systems.<br>• Develop and implement fraud detection models using advanced analytics tools and techniques.<br>• Collaborate with cross-functional teams to investigate potential fraudulent activities and propose actionable solutions.<br>• Utilize platforms such as Epics and Chartmaxx to extract and analyze data effectively.<br>• Generate comprehensive reports and dashboards to present findings and support decision-making.<br>• Monitor ongoing healthcare operations to ensure compliance with anti-fraud protocols.<br>• Optimize data workflows and processes to enhance efficiency and accuracy.<br>• Stay updated on industry trends and best practices in fraud analytics and healthcare data analysis.<br>• Provide recommendations to improve system integrity and prevent future fraudulent activities.