We are looking for a highly experienced Data/Information Architect to lead the design and implementation of enterprise-wide data architecture solutions. This long-term contract position offers the opportunity to shape scalable, efficient, and high-performance data systems that align with organizational goals. The ideal candidate will have a strong background in data modeling, governance frameworks, and modern lakehouse architectures, working collaboratively with both technical teams and business stakeholders to deliver actionable insights.<br><br>Responsibilities:<br>• Develop and maintain enterprise data models that support analytics, reporting, and operational needs.<br>• Implement best practices for data modeling in a lakehouse architecture, ensuring scalability and alignment with business requirements.<br>• Architect data structures using methodologies such as Star Schema, Snowflake Schema, and Data Vault for optimal performance.<br>• Collaborate with stakeholders to gather data requirements and ensure business objectives are met.<br>• Work alongside Data Engineers to create physical data models optimized for Microsoft Fabric and Delta Lake environments.<br>• Establish governance processes, including metadata management, data lineage, and quality assurance protocols.<br>• Define and manage canonical data models across key business domains to ensure consistency.<br>• Document and enforce data modeling standards to drive adoption across engineering teams.<br>• Assess and enhance existing data models, identifying areas for improvement in performance and alignment.<br>• Provide strategic guidance on data management tools and technologies to support organizational goals.
<p>We are seeking a highly skilled Data Engineer to design, build, and manage our data infrastructure. The ideal candidate is an expert in writing complex SQL queries, designing efficient database schemas, and developing ETL/ELT pipelines. This role ensures data accuracy, accessibility, and performance optimization to support business intelligence, analytics, and reporting initiatives.</p><p><br></p><p><strong><em><u>Key Responsibilities</u></em></strong></p><p><br></p><p><strong>Database Design & Management</strong></p><ul><li>Design, develop, and maintain relational databases, including SQL Server, PostgreSQL, and Oracle, as well as cloud-based data warehouses.</li></ul><p><strong>Strategic SQL & Data Engineering</strong></p><ul><li>Develop advanced, optimized SQL queries, stored procedures, and functions to process and analyze large, complex datasets and deliver actionable business insights.</li></ul><p><strong>Data Pipeline Automation & Orchestration</strong></p><ul><li>Build, automate, and orchestrate ETL/ELT workflows using SQL, Python, and cloud-native tools to integrate and transform data from diverse, distributed sources.</li></ul><p><strong>Performance Optimization</strong></p><ul><li>Tune SQL queries and optimize database schemas through indexing, partitioning, and normalization to improve data retrieval and processing performance.</li></ul><p><strong>Data Integrity & Security</strong></p><ul><li>Ensure data quality, consistency, and integrity across systems.</li><li>Implement data masking, encryption, and role-based access control (RBAC).</li></ul><p><strong>Documentation</strong></p><ul><li>Maintain comprehensive technical documentation, including database schemas, data dictionaries, and ETL workflows.</li></ul>
We are looking for an experienced Data Engineer to join our team in New York, New York. In this role, you will design, build, and maintain data infrastructure to support business intelligence and analytics needs. The ideal candidate will have a strong technical background, a passion for working with complex datasets, and expertise in cloud-based data platforms.<br><br>Responsibilities:<br>• Develop, implement, and optimize ETL pipelines to ensure efficient data processing and integration.<br>• Design and maintain scalable data solutions, including data warehouses and data lakes.<br>• Collaborate with cross-functional teams to identify data requirements and deliver actionable insights.<br>• Utilize Snowflake, AWS, and other cloud-based platforms to manage data infrastructure and ensure performance optimization.<br>• Leverage Python and SQL to build robust data workflows and automate processes.<br>• Employ orchestration tools like Airflow and dbt to streamline data operations.<br>• Support data analytics and visualization efforts by enabling the creation of impactful dashboards using tools such as Tableau.<br>• Work with marketing and product data sources, including platforms like Google Analytics, to extract and integrate valuable insights.<br>• Implement CI/CD pipelines and DevOps practices to enhance data engineering processes.<br>• Ensure data security and compliance across all systems and tools.
<p>We are looking for a skilled Power BI Data Visualization Specialist to join our team in Stamford, Connecticut. In this role, you will leverage your expertise in data visualization and storytelling to transform complex datasets into actionable business insights. Your contributions will support decision-making processes and enhance operational efficiency through well-designed dashboards and reports.</p><p><br></p><p>Responsibilities:</p><p>• Create dynamic dashboards and visualizations using Power BI to effectively communicate data insights.</p><p>• Interpret and analyze complex datasets to generate meaningful business recommendations.</p><p>• Ensure data accuracy and integrity by meticulously validating and reconciling information.</p><p>• Collaborate with stakeholders to understand their data needs and deliver tailored solutions.</p><p>• Design intuitive and user-friendly dashboards that align with visualization best practices.</p><p>• Utilize relational data sources to identify and explore data relationships.</p><p>• Develop Power BI reports that are embedded within applications when required.</p><p>• Apply knowledge of structured datasets to extract insights from operational systems.</p><p>• Partner with teams to support data-driven operations in areas such as finance, manufacturing, and supply chain.</p>
<p>We are looking for an experienced Data Security Analyst. This long-term contract position requires a detail-oriented individual with a strong background in Active Directory management and advanced cybersecurity practices. The ideal candidate will excel in troubleshooting, technical execution, and utilizing tools to safeguard enterprise systems.</p><p><br></p><p>Responsibilities:</p><p>• Lead technical operations and execution within complex, multi-site Active Directory environments.</p><p>• Perform advanced troubleshooting to diagnose and resolve Active Directory issues efficiently.</p><p>• Develop and implement PowerShell scripts to automate tasks and enhance system functionality.</p><p>• Collaborate with teams to ensure compliance with cybersecurity policies and standards.</p><p>• Utilize SIEM tools to monitor and address security incidents effectively.</p><p>• Conduct regular assessments of application security to identify vulnerabilities and implement solutions.</p><p>• Provide expert guidance on cybersecurity strategies to protect enterprise systems.</p><p>• Maintain and enhance security frameworks to safeguard sensitive data.</p><p>• Deliver training and support to teams on best practices for data security.</p><p>• Stay updated on emerging threats and technologies to proactively address security challenges.</p>
We are looking for a skilled Technical Business Analyst with expertise in data analysis to join our team in White Plains, New York. In this role, you will bridge the gap between business needs and technical solutions, ensuring data processes align with organizational goals. If you have a strong analytical background and experience working with data platforms and visualization tools, we encourage you to apply.<br><br>Responsibilities:<br>• Analyze and interpret complex datasets to identify trends and deliver actionable insights.<br>• Collaborate with stakeholders to gather and translate business requirements into technical solutions.<br>• Design and implement data pipelines using tools such as Python or Java to automate workflows.<br>• Optimize database performance and manage data warehousing using platforms like Microsoft SQL Server.<br>• Utilize cloud services, such as AWS or Azure, to support scalable data solutions.<br>• Develop and maintain ETL processes for efficient data extraction, transformation, and loading.<br>• Create dynamic dashboards and visualizations using tools like Tableau or Power BI.<br>• Ensure data integrity and accuracy through rigorous testing and validation.<br>• Provide technical support and training to non-technical team members.<br>• Document processes and workflows to ensure clarity and continuity.
We are looking for an experienced Portal Solutions Architect to join our team on a long-term contract basis. In this role, you will lead the design and implementation of customer-facing web platforms, ensuring secure, scalable, and maintainable solutions. Based in Melville, New York, this position offers the opportunity to apply your expertise in modern application architecture and cloud technologies.<br><br>Responsibilities:<br>• Develop and oversee the technical architecture for web-based platforms, ensuring alignment with business requirements.<br>• Provide technical leadership to cross-functional teams, including internal staff and external partners.<br>• Guide the creation and implementation of secure and scalable cloud-based solutions, with a preference for Microsoft Azure.<br>• Evaluate and make decisions on frontend and backend technologies, including frameworks like React and ASP.NET.<br>• Ensure seamless integration of APIs and modern web application components.<br>• Collaborate with stakeholders to review designs and offer expert recommendations.<br>• Monitor and support the performance and maintenance of web applications.<br>• Drive innovation by identifying opportunities for improvements in web solution architecture.<br>• Implement best practices for application security, scalability, and reliability.<br>• Stay updated on emerging trends in application and cloud technologies to enhance solutions.
<p>A hands-on data leader is sought who thrives at the intersection of high-impact analytics, people development, and strategic influence. The ideal candidate will help shape the future of a data science organization by bringing deep technical mastery, a passion for mentorship, and a vision for how data can drive the achievement of bold business goals.</p><p><br></p><p><strong>Primary Responsibilities:</strong></p><ul><li>Embed data science into the core of marketing and business decisions, leveraging expert knowledge of marketing analytics, business operations, and high-impact team building.</li><li>Lead and oversee a team of data scientists and analysts focused on delivering best-in-class models and actionable insights.</li><li>Collaborate daily with cross-functional teams to understand evolving business needs, and develop effective analytics solutions and models.</li><li>Execute a roadmap to continuously improve the accuracy and functionality of models, enhancing overall business outcomes.</li><li>Drive data science initiatives that improve customer engagement and operational efficiency through personalization and targeting.</li><li>Deliver value-creating projects, including customer segmentation, propensity models, and dynamic bidding algorithms.</li><li>Serve as subject matter expert and primary producer for forecasting model development and execution, partnering with enterprise data management and technology teams.</li><li>Prepare and deliver presentations summarizing key insights and recommendations to senior stakeholders.</li><li>Foster a learning mindset throughout the team, supporting a collaborative and client-focused culture motivated by business and technical challenges.</li></ul><p><br></p>
We are looking for an entry-level Data Analyst to join our team in Jersey City, New Jersey. In this role, you will contribute to optimizing data processes and support data-driven decision-making within the organization. You will work with diverse data sets, automate workflows, and design advanced data models to improve operational efficiency and analytics capabilities.<br><br>Responsibilities:<br>• Collect, transform, and manage large data sets to streamline sourcing across a wide portfolio of vendors, suppliers, and products.<br>• Standardize and cleanse data from multiple systems to ensure consistency and accuracy.<br>• Validate and aggregate incoming raw data for integration into databases and analytical models.<br>• Address data gaps across various domains to enhance overall data quality.<br>• Extract data from multiple sources to support larger analytics projects and initiatives.<br>• Promote best practices for data usage and management across the organization, including newly acquired entities.<br>• Assist in integrating analytics models into production workflows to optimize functionality.
We are looking for a skilled Ad Sales Data Analyst to join our team in NYC, New York. In this long-term contract role, you will leverage your expertise in media and advertising analytics to deliver actionable insights and support strategic decision-making. This position is ideal for professionals who thrive in dynamic environments and have a strong background in data analysis within the advertising or media industry.<br><br>Responsibilities:<br>• Analyze and interpret advertising sales data to identify trends, opportunities, and areas of improvement.<br>• Utilize fraud analytics tools and techniques to detect and prevent fraudulent activities within advertising campaigns.<br>• Develop and maintain dashboards and reports to present key metrics and insights to stakeholders.<br>• Collaborate with cross-functional teams to optimize advertising strategies and campaign performance.<br>• Investigate suspected fraud cases and provide detailed reports based on findings.<br>• Apply anti-fraud methodologies to ensure compliance and integrity in advertising sales processes.<br>• Provide actionable recommendations based on data analysis to enhance revenue generation.<br>• Work closely with advertising technology platforms to integrate data solutions and improve operational efficiency.<br>• Stay updated with industry trends and advancements in data analysis and fraud prevention.<br>• Support the implementation of new tools and systems to streamline data processing and reporting.