We are looking for an experienced Database Analyst to join our team in Jersey City, New Jersey. This Contract-to-Permanent position offers an opportunity to make a significant impact by leveraging advanced analytics and statistical methodologies to optimize user experiences and drive product innovation. The ideal candidate will collaborate with cross-functional teams to deliver data-driven insights, guide experimentation strategies, and improve key business metrics.<br><br>Responsibilities:<br>• Conduct comprehensive analytical projects to identify opportunities and address challenges within the user journey.<br>• Serve as a strategic partner to product leaders by providing data-based recommendations to shape roadmaps and prioritize initiatives.<br>• Utilize advanced statistical methods, including regression analysis, Bayesian inference, and clustering, to derive actionable insights.<br>• Design and execute experimentation strategies, including A/B testing and quasi-experimental methods, to measure and enhance product performance.<br>• Develop predictive models to anticipate user behavior and assess long-term impacts on business outcomes.<br>• Create and maintain executive-level dashboards to monitor product KPIs and communicate findings effectively using visualization tools.<br>• Translate complex data analyses into clear, actionable recommendations for senior leadership.<br>• Mentor less experienced team members, fostering their skills in analytics, communication, and stakeholder engagement.<br>• Collaborate with engineering and UX teams to ensure alignment and integration of analytical solutions.
<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>
<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 Scientist to join our team on a contract with the potential for a permanent position in Edison, New Jersey. This hybrid role requires working on-site two days a week, collaborating with stakeholders to develop and implement AI-driven solutions. Ideal candidates will have expertise in data strategy, AI technologies, and tools such as Databricks and Informatica.<br><br>Responsibilities:<br>• Develop and implement AI-driven use cases that align with organizational goals and objectives.<br>• Design and optimize data strategies using platforms like Databricks and Informatica.<br>• Collaborate with cross-functional teams, including data engineers and business stakeholders, to create scalable AI/ML solutions.<br>• Evaluate and enhance data pipelines to ensure efficient deployment of AI models.<br>• Stay informed on the latest AI advancements and recommend innovative approaches to improve business operations.<br>• Provide guidance on data governance, ensuring adherence to best practices for data quality and security.<br>• Analyze business challenges and translate them into actionable AI solutions that drive results.<br>• Support the integration of advanced analytics frameworks into existing systems and processes.
We are looking for a skilled Data Analyst to join our team on a contract basis in Brooklyn, New York. In this role, you will leverage your expertise in data analysis to support decision-making processes and deliver actionable insights. The ideal candidate will bring a strong analytical skill set, familiarity with relevant tools, and the ability to work effectively in a dynamic environment.<br><br>Responsibilities:<br>• Analyze complex datasets to identify trends, patterns, and actionable insights that support business objectives.<br>• Utilize tools such as Power BI, SQL, and Microsoft Excel to create reports and dashboards for data visualization.<br>• Collaborate with stakeholders to understand data requirements and deliver solutions tailored to their needs.<br>• Perform detailed data validation and ensure the accuracy of information across systems.<br>• Support the implementation and optimization of data analysis processes using Acumatica.<br>• Develop and maintain documentation for data workflows and analytical procedures.<br>• Assist with troubleshooting and resolving data-related issues in a timely manner.<br>• Present findings and recommendations to management through clear and concise communication.<br>• Monitor data quality and implement measures to enhance consistency and reliability.<br>• Stay updated on industry trends and best practices in data analysis to continuously improve methodologies.
We are looking for a skilled Data Analyst with expertise in marketing analytics and reporting to join our team on a long-term contract basis. This role will focus on transforming data from various digital marketing channels into actionable insights that drive strategic decision-making. Based in Somerville, New Jersey, you will collaborate with cross-functional teams to optimize campaign performance and user experience through data-driven solutions.<br><br>Responsibilities:<br>• Design and manage dashboards and reports using tools such as Power BI, Tableau, or Looker to monitor key performance indicators across marketing initiatives.<br>• Utilize SQL and Python to extract, clean, and analyze large datasets from multiple sources, including websites and advertising platforms.<br>• Conduct audits of website and organic search health using tools like Screaming Frog, identifying opportunities to enhance visibility and traffic.<br>• Analyze user behavior through platforms like HotJar to uncover UX insights and recommend actionable improvements.<br>• Collaborate with teams to define measurement requirements and implement effective tracking solutions.<br>• Develop and maintain scalable LookML models and explore layers in Looker to support self-service reporting.<br>• Provide regular summaries of campaign performance, including forecasting models and data analyses, to stakeholders.<br>• Automate routine reporting processes to ensure efficient and consistent data delivery.<br>• Present complex data findings in visually compelling formats, translating them into practical recommendations for marketing strategies.
We are looking for an experienced Data Analyst to join our team on a long-term contract basis in New York City, New York. This role involves leveraging data to identify patterns, detect anomalies, and provide actionable insights to enhance decision-making processes. The ideal candidate will have strong analytical skills and expertise in fraud investigation and prevention.<br><br>Responsibilities:<br>• Analyze large datasets to uncover trends, anomalies, and patterns that indicate potential fraud.<br>• Develop and implement fraud detection strategies using advanced analytics and tools.<br>• Collaborate with cross-functional teams to enhance fraud prevention mechanisms and policies.<br>• Conduct thorough investigations into suspected fraudulent activities and provide detailed reports.<br>• Create visual representations of data findings to effectively communicate insights to stakeholders.<br>• Utilize anti-fraud techniques to mitigate risks and safeguard organizational assets.<br>• Maintain accurate and organized records of investigations and analytical processes.<br>• Monitor and evaluate the effectiveness of fraud prevention strategies and recommend improvements.<br>• Stay updated on industry trends and emerging technologies related to fraud analytics.<br>• Provide training and support to team members on fraud detection tools and methodologies.