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.
<p>Job Details:</p><p>- Technical and end user operation management of data warehouse and business intelligence infrastructure on day-to-day basis</p><p>- Full responsibility of new development tasks to expand functionality of current data warehouse including dashboards/reports</p><p>- Working with Finance to gather/analyze reporting requirements (Business Analysis)</p><p>- Presenting technical solutions for new business requirements to manager and final technical implementation</p><p>- Actively supporting end users and error management of data warehouse with dashboards/reports</p><p>- Organizing technical and end user testing for final deployments to different technical environments</p><p>- Creating/maintaining technical and end user documentation</p><p>- Second technical contact for Business Intelligence</p>
<p>We are looking for a strategic and hands-on Analytical Product Manager to lead the development of advanced analytics solutions tailored to the healthcare workforce sector. This role focuses on creating impactful tools that enhance payroll, HR, attendance, and scheduling processes for healthcare administrators and operators. Based in Airmont, New York, this position offers the chance to shape innovative analytics capabilities that drive workforce efficiency and compliance.</p><p><br></p><p>Responsibilities:</p><p>• Define the vision and roadmap for analytics and insights within the platform, ensuring alignment with organizational goals.</p><p>• Establish key metrics and performance indicators to address workforce challenges such as overtime trends, payroll discrepancies, and employee turnover.</p><p>• Collaborate with clients, account managers, and product teams to identify high-value use cases for analytics solutions.</p><p>• Translate business requirements into detailed product specifications, dashboards, and data models.</p><p>• Oversee the creation of dashboard mockups using tools like Power BI and other visualization platforms.</p><p>• Partner with leadership to assess future hiring needs for roles such as BI developers and data engineers.</p><p>• Develop tools for generating pre-payroll analytics, enabling detailed reporting by employee, department, and earning code.</p><p>• Build HR analytics capabilities that provide insights into turnover rates and headcount trends.</p><p>• Design attendance dashboards with advanced filtering and drill-down features to identify patterns such as no-shows and excessive overtime.</p><p>• Create facility-level reporting tools that support trend analysis, benchmarking, and comparative insights.</p>
We are in search of a Data Reporting Analyst in the legal industry, located in New York. The role involves handling and analyzing data, identifying trends, and supporting legal strategies and decision-making. The successful candidate will be expected to collaborate with various stakeholders, ensure data accuracy, and adapt to changing priorities.<br><br>Responsibilities:<br><br>• Handle and analyze medium to large datasets, extracting valuable insights to support legal strategies and decisions.<br>• Collaborate with various stakeholders to gather requirements, ensuring the maintenance of data accuracy.<br>• Develop and implement data systems and models, aiding in the identification and tracking of legal trends.<br>• Uphold compliance with data privacy and legal regulations, ensuring all data handling aligns with these standards.<br>• Regularly provide reports, ensuring the maintenance of data integrity.<br>• Adapt to changing priorities as required, demonstrating flexibility and the ability to manage multiple tasks.<br>• Utilize Apache Spark, Atlassian Jira, BusinessObjects Technologies, Erwin Data, and Gap Analysis tools effectively.<br>• Implement AB Testing, Agile Scrum, Analytics, Business Intelligence (BI), and Business Requirement Document skills in daily operations.
<p>We are looking for a skilled Data Engineer to join our team in Toms River, New Jersey. In this role, you will design, manage, and optimize data pipelines and repositories, ensuring reliable and accurate data flow across various platforms. You will also collaborate with cross-functional teams to deliver actionable insights and support business intelligence initiatives.</p><p><br></p><p><strong>Responsibilities:</strong></p><p>• Architect and manage data systems, including data lakes and repositories, ensuring optimal performance and reliability.</p><p>• Monitor and maintain daily data pipelines in Azure, addressing any issues to ensure seamless operations.</p><p>• Develop and enhance data pipelines using Python, Azure Functions, Logic Apps, and Synapse, while integrating new platforms when necessary.</p><p>• Oversee the accuracy and timeliness of data loads into BI models, reconciling discrepancies between Power BI and source reports.</p><p>• Create and refine Power BI dashboards and models to support operational and strategic reporting needs.</p><p>• Administer Power BI workspaces, managing licensing, access permissions, and user security.</p><p>• Provide technical support to Power BI users, assisting with troubleshooting and new dashboard development.</p><p>• Partner with stakeholders to scope and deliver analyses, addressing both recurring and ad hoc business needs.</p><p>• Support financial reporting and performance analysis for Finance and Accounting teams.</p><p>• Build a comprehensive understanding of business processes to deliver valuable strategic insights.</p>
We are offering an exciting opportunity for a Full Stack Developer to join our team in the Financial Services industry, based in Princeton, New Jersey. In this role, you will be deeply involved in the design, development, and implementation of systems that support various complex operational functions. You will also have a direct collaboration with business users, providing hands-on application development and ensuring high-quality and efficient web applications.<br><br>Responsibilities:<br>• Collaborate directly with business users for the analysis and assessment of business and system requirements across various functional disciplines.<br>• Design, develop and implement systems that support trading, help desk, surveillance, clearing, business intelligence, finance, and other complex middle and back office operational systems.<br>• Participate in hands-on application development, demonstrating a strong desire to be in-the-code.<br>• Define the back-end REST APIs for the features of the services being built.<br>• Employ your expertise in core Java and JEE technologies, and your in-depth knowledge of one or more application frameworks such as Spring Boot.<br>• Utilize your skills in web development tools and languages such as Angular, HTML5, CSS, and Javascript.<br>• Work on complex database design and SQL tasks.<br>• Handle Linux and shell scripting tasks.<br>• Work with the team to define test cases, and write unit, integration, and end-to-end tests.<br>• Adhere to industry-standard architecture design methodologies and processes.<br>• Display strong written and oral communication skills, being self-directed and motivated to work in a fast-paced team-oriented environment.
We are in search of a Data Warehouse Analyst to join our team in the retail industry, situated in Hillside, New Jersey. In this role, you'll leverage your technical skills to simplify complex analytical tasks into understandable data-driven narratives. Collaborating with other analysts, you'll apply established analytical processes to diverse datasets to deduce insights and solve real-world business problems. <br><br>Responsibilities: <br><br>• Collaborate with Operations, Product, and Finance teams to establish KPIs and innovative methodologies for measurement<br>• Develop, manage, and scale our labor planning process, providing accurate labor targets and forecasts in conjunction with the Talent Acquisition team<br>• Analyze and understand the drivers that impact key influences on business dynamics and productivity<br>• Transform data into actionable insights for stakeholders<br>• Automate the reporting process for weekly business metrics<br>• Identify and execute opportunities to automate and scale our current processes<br>• Leverage your technical skills, such as SQL/code writing, statistics, machine learning, etc., to enhance existing processes and learn new skills<br>• Ensure all reporting and analytical responsibilities are completed competently and promptly.
<p>The Data Operations & Automation Specialist is responsible for optimizing the use of internal and external data across the organization’s core financial systems. This role manages data exchanges, ensures seamless integration with third-party platforms, and supports the development of business intelligence (BI) solutions. The Specialist leads automation initiatives, oversees accurate and timely reporting, and provides technical expertise to enable data-driven decision-making across the organization.</p><p><br></p><p>Essential Duties & Responsibilities</p><ul><li>Oversee and support the organization’s core financial system, including monitoring performance, resolving issues, and ensuring compliance with security standards.</li><li>Serve as the primary point of contact for users, providing guidance, troubleshooting, and technical expertise.</li><li>Lead the implementation of Robotic Process Automation (RPA) and Digital Process Automation (DPA), including process discovery, scripting, testing, deployment, and support.</li><li>Collaborate with cross-functional teams to analyze data and processes, supporting data-driven decision-making.</li><li>Develop, automate, and maintain BI reporting solutions to provide actionable insights.</li><li>Identify opportunities for automation and streamline manual processes through scripting and system enhancements.</li><li>Manage data transfers and integrations between core systems, third-party applications, and internal platforms.</li><li>Support and maintain SQL databases for server-based applications.</li><li>Test and maintain disaster recovery processes to ensure business continuity.</li><li>Assist in evaluating, testing, and deploying new hardware and software systems.</li><li>Partner with departments to design and deploy reports and dashboards that enhance operational efficiency.</li></ul><p><br></p>
We are looking for a skilled Data Warehouse Analyst to join our team in Hillside, New Jersey. In this role, you will transform logistics challenges into actionable insights through advanced data analysis and reporting. By collaborating with cross-functional teams, you will play a pivotal role in enhancing operational efficiency and driving key business decisions.<br><br>Responsibilities:<br>• Collaborate with Operations, Transportation, and Finance teams to establish and refine KPIs that drive logistics and fulfillment performance.<br>• Develop and optimize labor planning and forecasting models for warehouse and delivery operations, partnering closely with recruitment teams.<br>• Analyze distribution and fulfillment data to uncover performance trends and identify cost-saving opportunities.<br>• Design and maintain dashboards and reports to provide real-time insights into logistics metrics, including delivery times, warehouse productivity, and route optimization.<br>• Automate reporting processes to improve accuracy and timeliness of operational data.<br>• Continuously enhance data integrity and streamline workflows to optimize logistics operations.<br>• Work on data modeling and warehousing projects to support scalable analytics and reporting solutions.<br>• Partner with stakeholders to deliver clear and actionable insights to improve decision-making processes.<br>• Investigate and implement tools and techniques to improve overall business intelligence capabilities.
<p>We are on the lookout for a Data Engineer in Basking Ridge, New Jersey. (1-2 days a week on-site*) In this role, you will be required to develop and maintain business intelligence and analytics solutions, integrating complex data sources for decision support systems. You will also be expected to have a hands-on approach towards application development, particularly with the Microsoft Azure suite.</p><p><br></p><p>Responsibilities:</p><p><br></p><p>• Develop and maintain advanced analytics solutions using tools such as Apache Kafka, Apache Pig, Apache Spark, and AWS Technologies.</p><p>• Work extensively with Microsoft Azure suite for application development.</p><p>• Implement algorithms and develop APIs.</p><p>• Handle integration of complex data sources for decision support systems in the enterprise data warehouse.</p><p>• Utilize Cloud Technologies and Data Visualization tools to enhance business intelligence.</p><p>• Work with various types of data including Clinical Trials Data, Genomics and Bio Marker Data, Real World Data, and Discovery Data.</p><p>• Maintain familiarity with key industry best practices in a regulated “GXP” environment.</p><p>• Work with commercial pharmaceutical/business information, Supply Chain, Finance, and HR data.</p><p>• Leverage Apache Hadoop for handling large datasets.</p>
We are looking for a skilled and experienced Senior Data Engineer to join our team in New York, New York. This role is ideal for someone who thrives on working with complex datasets, building scalable data solutions, and collaborating with cross-functional teams. If you have a passion for leveraging data to drive strategic decisions, we encourage you to apply.<br><br>Responsibilities:<br>• Design, implement, and maintain scalable data architectures to support business intelligence and analytics needs.<br>• Develop and optimize data pipelines and workflows for efficient data processing and integration.<br>• Collaborate with stakeholders to understand data requirements and translate them into actionable solutions.<br>• Leverage cloud platforms, such as AWS, Azure, or Google Cloud, to manage and enhance data infrastructure.<br>• Utilize Big Data technologies, including Apache Spark and Databricks, to process and analyze large datasets.<br>• Write efficient scripts and perform data manipulation using Python and other relevant programming languages.<br>• Ensure data quality and integrity by implementing robust validation and monitoring processes.<br>• Provide technical guidance and support to team members on best practices in data engineering.<br>• Stay updated on emerging data technologies and tools to continuously improve systems.<br>• Partner with API developers to integrate data systems and enable seamless data access.
<ul><li>Product Development: Partner with the data science team to conceptualize, develop, and refine cutting-edge data analytics products tailored to specific engineering domains.</li><li>Sales Enablement: Collaborate with the sales team to articulate product value, address customer needs, and drive sales to advanced technical SMEs/PHDs</li><li>Customer Success: Provide comprehensive technical support, training, and onboarding to ensure customer satisfaction and product adoption.</li><li>Market Intelligence: Conduct market research, analyze competitive landscapes, and identify opportunities for product enhancement and expansion.</li><li>Product Documentation: Develop clear and concise product documentation, including user guides, process flows, and use cases.</li></ul><p><br></p>
<p><strong>Description:</strong></p><p>We are seeking a talented and driven AI Engineer to join our cross-functional AI innovation team within a leading pharmaceutical organization. You will work on designing, developing, and deploying GenAI-driven solutions, retrieval-augmented generation (RAG) systems, and scalable ML-powered applications across cloud-native environments to support drug development, regulatory, manufacturing, and commercial operations. The ideal candidate combines a strong academic foundation in machine learning with hands-on experience building real-world AI systems and full-stack applications that comply with the high standards of a regulated industry.</p><p><br></p><p> <strong>Essential Functions:</strong></p><ul><li>Design and implement GenAI applications including LLM-integrated tools, RAG systems, and intelligent chatbots tailored for pharmaceutical functions such as R& D knowledge mining, regulatory intelligence, and medical information services.</li><li>Build and optimize data ingestion, transformation, and semantic search pipelines using domain-specific embedding models (e.g., BioBERT, Ada-002).</li><li>Develop and containerize AI services using FastAPI, Docker, and Kubernetes, deployed on AWS or GCP, ensuring adherence to data privacy and compliance standards (e.g., HIPAA, GxP).</li><li>Collaborate with product, data, and platform engineering teams to integrate AI features into validated systems supporting clinical, quality, and manufacturing workflows.</li><li>Contribute to end-to-end MLOps: model experimentation, deployment pipelines, audit readiness, monitoring, and performance tuning.</li><li>Engineer full-stack applications (React + REST/GraphQL backends) with role-based access controls for internal and external scientific and business users.</li><li>Support internal research and POCs on advanced topics like LLM reasoning, adverse event detection, pharmacovigilance, and digital biomarker analysis.</li></ul><p><br></p>
