We are looking for a skilled Salesforce Data Reporting Analyst to join our team on a contract basis in West Conshohocken, Pennsylvania. In this role, you will transform sales performance data into actionable insights, enabling leadership to refine processes and achieve measurable results. This position requires expertise in data analysis, reporting, and visualization, with a strong focus on tools like Power BI, Excel, and Salesforce platforms.<br><br>Responsibilities:<br>• Evaluate and measure the success of sales-enabled programs, including campaigns, events, promotions, and onboarding initiatives.<br>• Develop and maintain measurement frameworks, scorecards, and dashboards to track program performance and identify improvement opportunities.<br>• Analyze customer and practitioner behaviors to uncover trends that drive conversion, retention, and engagement.<br>• Provide insights into optimizing sales and marketing processes, including segmentation, timing, and follow-up strategies.<br>• Create and manage dashboards and data models in Power BI, ensuring accurate and up-to-date reporting.<br>• Perform ad-hoc analyses using advanced Excel techniques, including PivotTables and Power Query, to address leadership inquiries.<br>• Design and deliver thorough and well-structured presentations in PowerPoint, effectively translating complex data into clear recommendations.<br>• Extract and interpret data from Salesforce, leveraging its reporting tools and analytics capabilities.<br>• Maintain consistent documentation of reporting logic and data definitions to ensure reliability and trust in the numbers.<br>• Manage multiple priorities efficiently while delivering high-quality results within deadlines.
<p>Job Summary</p><p>We are seeking a <strong>Machine Learning Engineer</strong> to design, build, validate, and deploy machine learning solutions that support products and applications in a production environment. This role focuses on the full ML lifecycle—from data pipelines and model training to validation, deployment, monitoring, and documentation—working closely with cross‑functional teams to deliver scalable, reliable solutions.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, implement, refine, and validate machine learning algorithms for products and applications</li><li>Design and develop robust data pipelines, including data ingestion, validation, cleaning, and monitoring</li><li>Train machine learning models; validate model accuracy and performance prior to deployment</li><li>Deploy validated machine learning models into production environments and support ongoing monitoring</li><li>Design proof‑of‑concept (POC) solutions and contribute to studies supporting future product or application development</li><li>Test and evaluate machine learning solutions; complete case studies, testing, and reporting</li><li>Research, write, and maintain technical documentation, including:</li><li>Evaluation plans</li><li>Confluence pages</li><li>White papers and presentations</li><li>Test results, technical manuals, and formal recommendations</li><li>Collaborate with teams outside the immediate work group and represent the team when addressing technical issues related to assigned projects</li></ul><p><br></p>
<p><strong>Primary Responsibilities</strong></p><ul><li>Provide leadership and mentorship to software engineering team members, fostering a collaborative environment committed to production excellence and continuous product improvement.</li><li>Evaluate programming and application development requests, applying technical expertise to determine feasibility and identify opportunities to enhance existing systems and capabilities.</li><li>Lead the planning, development, documentation, testing, and deployment of business-critical applications and enhancements.</li><li>Collaborate with business stakeholders to clarify operational procedures and program objectives.</li><li>Utilize structured analysis and design techniques to create application specifications, including flowcharts and diagrams documenting logical operations.</li><li>Share application and domain knowledge with other teams, supporting cross-functional understanding between application and infrastructure groups.</li><li>Provide production support, including monitoring and issue resolution as needed.</li><li>Oversee integrations between internal systems and external platforms, including marketing technology, CRM solutions, and third-party SaaS providers.</li><li>Migrate legacy middleware workflows to secure, modern cloud-based architectures.</li><li>Build and maintain cloud resources using AWS services (such as EC2, S3, Lambda, RDS, VPC, IAM, CloudFormation/CDK).</li><li>Implement CI/CD pipelines for automated build, test, and deployment using industry-standard tools (e.g., GitHub Actions).</li><li>Contribute to front-end feature development utilizing modern JavaScript frameworks (such as React).</li></ul><p><strong>Additional Responsibilities</strong></p><ul><li>Modify code to correct errors and enhance functionality.</li><li>Analyze programs to improve operational efficiency or adapt to evolving business needs.</li><li>Create and maintain comprehensive documentation detailing application logic, development processes, and modifications.</li><li>Perform business analysis and assist in facilitating user training.</li></ul><p><br></p><p><br></p>