<p><strong>Summary</strong></p><p>The Business Intelligence Analyst (Entry Level) supports the Business Intelligence & Data team by understanding and writing data queries, building visualizations, and working with end users to obtain clear and concise report requirements. The candidate should have familiarity with data models/relationships and strong analytical skills with great attention to detail. Eagerness to learn the business is a must. </p><p><strong> </strong></p><p><strong>Key Responsibilities</strong></p><ul><li>Assist in developing, maintaining, and enhancing dashboards and reports using BI tools </li><li>Extract, transform, and load (ETL) data from various sources into BI tools and databases </li><li>Perform data validation, reconciliation, and quality checks across multiple data sources</li><li>Translate business requirements into technical reporting specifications</li><li>Document data sources, transformations, metrics definitions, and report logic</li><li>Collaborate with BI & Data team and business stakeholders to produce impactful reports</li></ul><p><br></p>
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.
<p>Job Summary</p><p>We are seeking a motivated and analytical Data Analyst to support product quality, device performance, and customer experience improvements across a large consumer device ecosystem. In this role, you will help drive data‑informed decisions by analyzing telemetry, reliability KPIs, and customer satisfaction trends. You’ll collaborate closely with engineering, operations, and customer experience teams to ensure data accuracy, generate actionable insights, and support strategic initiatives that help enhance overall device reliability.</p><p>This role is ideal for someone who thrives in cross‑functional environments, enjoys solving complex problems, and can translate data into compelling, executive‑ready insights.</p><p><br></p><p>Key Responsibilities</p><ul><li>Analyze device performance data, reliability KPIs, telemetry metrics, and CSAT feedback to identify improvement opportunities.</li><li>Support key initiatives related to error tracking, ticket resolution trends, and release impact assessments.</li><li>Partner with stakeholders across engineering, operations, and customer experience to align priorities and ensure timely delivery of insights.</li><li>Create compelling presentations and executive‑level decks to communicate data findings and recommendations.</li><li>Participate in working groups tackling high‑impact reliability issues, contributing to root cause analysis and solution tracking.</li><li>Assist in expanding global data capabilities through improved data access, partnerships, and data enablement initiatives.</li></ul>
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 highly skilled Business Analyst with expertise in CCH Axcess to join our team in Iselin, New Jersey. In this role, you will serve as the primary subject matter expert for the platform, driving system enhancements, process optimization, and data integration efforts. This is a long-term contract position offering an excellent opportunity to collaborate across teams and contribute to the success of tax operations and enterprise automation strategies.<br><br>Responsibilities:<br>• Act as the subject matter expert for CCH Axcess, managing modules like Tax, Practice, Workflow, and Document.<br>• Translate business requirements into system-specific configurations and enhancements to improve tax workflows.<br>• Collaborate with internal teams and external vendors to ensure stable platform performance and compliance.<br>• Conduct process analysis to identify inefficiencies and recommend automation opportunities.<br>• Develop detailed documentation including process maps, data flow diagrams, and system requirements.<br>• Support the integration of CCH Axcess with other enterprise systems, ensuring seamless data transfers.<br>• Analyze operational data to create reports and dashboards that monitor workflow performance and user adoption.<br>• Define and track KPIs for platform modules while identifying trends to guide improvements.<br>• Ensure all data and integrations comply with governance, security, and confidentiality standards.<br>• Foster collaboration between tax, technical, and compliance teams to align enterprise strategies.
<p>Our company is seeking a proactive and detail-oriented Business Analyst to join our dynamic metals trading team. This role requires direct engagement with end users to understand business requirements and translate them into effective solutions supporting our fast-paced environment.</p><p>Key Responsibilities:</p><ul><li>Partner directly with end users to gather and analyze functional requirements, delivering solutions that align with the needs of our metals trading business.</li><li>Configure, update, test, and support financial systems and related applications throughout their full lifecycle.</li><li>Design, maintain, and support proprietary reports and analytics used by accounting, controllers, physical operations, and trading teams.</li><li>Build and troubleshoot SQL queries, Business Objects reports, and other BI outputs.</li><li>Perform root-cause analysis and resolve system issues in close collaboration with business users, other analysts, and vendors.</li><li>Document configurations, procedures, and solutions within our internal knowledge base (wiki).</li><li>Work collaboratively with the IS team in a shared-work environment where teamwork is valued over silos.</li><li>Stay current on relevant systems and technologies through ongoing training, certifications, and seminars.</li><li>Occasionally travel internationally as required.</li></ul><p><br></p>
<p>We are looking for a skilled Marketing Analyst to join our team on a contract basis in New Jersey. In this role, you will play a crucial part in transforming customer data into actionable insights, enabling strategic decision-making and enhancing customer experiences. This position offers the opportunity to collaborate across departments and leverage your analytical expertise to drive meaningful outcomes.</p><p><br></p><p>Responsibilities:</p><p>• Analyze large datasets from various sources, such as customer surveys, operational metrics, and feedback channels, to uncover insights and trends.</p><p>• Map and evaluate customer journeys to identify friction points and opportunities for improvement.</p><p>• Apply advanced statistical methods and tools, including AI and Natural Language Processing, to conduct sentiment analysis and root cause evaluations.</p><p>• Develop and maintain dashboards and visualizations using tools like Tableau to monitor customer experience metrics.</p><p>• Translate complex data into compelling narratives and presentations that resonate with both technical and non-technical audiences.</p><p>• Partner with cross-functional teams to share findings, develop action plans, and measure the effectiveness of customer-focused initiatives.</p><p>• Advocate for a customer-centric approach by presenting data-driven insights to stakeholders and leadership.</p><p>• Gather and align business requirements to ensure analytical efforts support organizational goals.</p><p><br></p><p>02720-0013386357</p><p><br></p>
Join our team as a Business Intelligence Software Engineer and help design, build, and maintain innovative reporting and data-driven applications that power field operations, business units, and customer solutions. This is a hands-on coding role that requires strong technical judgment and collaboration with cross-functional teams. You’ll manage the entire development lifecycle, ensuring solutions are scalable, reliable, and aligned with business priorities. Key Responsibilities: Lead the Software Development Lifecycle (SDLC): Oversee all phases of BI application development, from concept through deployment and support. Hands-on Development: Build and maintain applications using Python (PySpark), SQL, and TypeScript/JavaScript. Technical Strategy & Architecture: Apply best practices for design, performance, and scalability. Quality Assurance: Establish testing frameworks, conduct code reviews, and maintain bug-tracking processes. Continuous Improvement: Identify and implement tools and methodologies to streamline development and increase system reliability. Collaboration: Work with internal stakeholders, data scientists, analysts, and operations teams to translate business needs into software solutions. Support & Maintenance: Provide ongoing support for newly developed applications, ensuring smooth integration with existing systems.
We are looking for an experienced AI/Data Governance Analyst to lead and implement enterprise-wide data management strategies. This role requires strong leadership and technical expertise to ensure data governance frameworks, data quality standards, and metadata practices are effectively deployed and maintained. As a vital part of the team, you will collaborate closely with business and technology stakeholders to drive data compliance and deliver trusted, high-quality data solutions. This is a long-term contract position based in New York, New York.<br><br>Responsibilities:<br>• Develop and execute comprehensive data management strategies, including governance, quality, and metadata initiatives.<br>• Establish and refine policies, standards, and frameworks to support data governance across the organization.<br>• Lead the implementation of data quality management processes, including rule definition, monitoring, and issue resolution.<br>• Partner with cross-functional teams to align data management efforts with organizational goals.<br>• Select and optimize tools and platforms for data governance and quality management.<br>• Serve as a thought leader to influence executives and stakeholders on prioritizing data as a strategic asset.<br>• Mentor and guide less experienced team members and data stewards to enhance team capabilities.<br>• Monitor and evaluate key performance indicators (KPIs) to measure the effectiveness of governance strategies and data quality.<br>• Ensure compliance with data regulations and support operational requirements within the business context.<br>• Drive adoption and continuous improvement of master data management practices.
Job Details: - Technical and end user operation management of data warehouse and business intelligence infrastructure on day-to-day basis - Full responsibility of new development tasks to expand functionality of current data warehouse including dashboards/reports - Working with Finance to gather/analyze reporting requirements (Business Analysis) - Presenting technical solutions for new business requirements to manager and final technical implementation - Actively supporting end users and error management of data warehouse with dashboards/reports - Organizing technical and end user testing for final deployments to different technical environments - Creating/maintaining technical and end user documentation - Second technical contact for Business Intelligence
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.
<p>This role partners closely with the Business Analyst Manager and cross-functional stakeholders to support the analysis, design, and implementation of business processes and systems. The Jr Business Analyst contributes across the full project lifecycle, including requirements gathering, solution design, testing, release support, documentation, and end-user training. The ideal candidate is analytical, proactive, and eager to grow their business analysis skill set while contributing to high-impact initiatives across the organization.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p><br></p><ul><li>Collaborate with business stakeholders and subject matter experts to elicit, analyze, document, and validate business requirements</li><li>Translate business needs into clear, actionable functional requirements and support IT teams during solution design and implementation</li><li>Assist with system testing, user acceptance testing (UAT), release coordination, and post-implementation support</li><li>Provide first-level user support by triaging issues, resolving basic problems, and coordinating with IT teams as needed</li><li>Develop and maintain process documentation, user guides, and training materials</li><li>Support and deliver user training sessions to business teams</li><li>Manage multiple initiatives simultaneously while maintaining strong attention to detail in a fast-paced environment</li><li>Participate in continuous improvement efforts related to systems, data, and business processes</li></ul><p><br></p>
<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><strong>Position Summary:</strong></p><p>We are seeking a <strong>Technical Business Analyst / Applications Analyst</strong> to support, enhance, and lead the implementation of enterprise systems, with a focus on <strong>systems integration, APIs, and reporting</strong>. While experience with Ellucian Colleague is a plus, we welcome candidates with expertise in other ERP systems or enterprise platforms used in higher education. The ideal candidate will have a strong background in business analysis, system configuration, and cross-platform integrations, particularly with cloud-based technologies.</p><p><strong> </strong></p><p><strong>Key Responsibilities:</strong></p><ul><li>Lead and manage projects related to the implementation, enhancement, and integration of ERP or enterprise systems (e.g., finance, housing, HR, admissions).</li><li>Collaborate with stakeholders to gather, document, and analyze business and technical requirements.</li><li>Translate business needs into system functionality through configuration, workflow design, and limited coding/customization.</li><li>Work with APIs and integration tools to ensure seamless data exchange across systems.</li><li>Design and support reports and dashboards to meet operational and strategic decision-making needs.</li><li>Create and maintain documentation for system configurations, workflows, data mappings, and integrations.</li><li>Deliver user training and provide ongoing support for system users and departments.</li><li>Stay informed of best practices and trends in ERP systems, data integration, and higher education technology.</li></ul><p><br></p>
<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>
<p>Join a pioneering technology company that’s redefining how global financial systems connect and operate. If you’re excited about the intersection of finance, technology, and blockchain innovation, this is your opportunity to make an impact at the frontier of capital markets. Our client is looking for a highly analytical and forward-thinking FP& A Analyst to join their Finance & Operations team. In this role, you’ll play a key part in driving financial strategy and insights across both traditional and crypto-native business lines. You’ll collaborate closely with leaders in Product, Engineering, and Sales to translate complex financial and blockchain data into actionable business decisions that shape the future of finance.</p><p><br></p><p>Responsibilities will include:</p><p>· Develop and maintain financial models, forecasts, and scenario analyses to support company strategy and investment decisions.</p><p>· Prepare and deliver management reporting—covering performance summaries, variance analysis, and key insights for leadership, board, and investors.</p><p>· Partner cross-functionally to translate financial and blockchain data (including token economics) into actionable business recommendations.</p><p>· Support monthly close and reporting cycles, ensuring accurate reconciliations</p><p>· Identify and implement process improvements, automation opportunities, and efficiency initiatives to enhance financial operations.</p><p>· Conduct ad hoc research on market trends, policy shifts, and new product initiatives to inform strategic planning.</p><p><br></p><p>For immediate consideration please email Ben.Turnbull@roberthalf.</p>
<p><strong>AWS Big Data Architect (with Hadoop) </strong></p><p><strong>Location:</strong> Hybrid 4x Onsite – Philadelphia, PA</p><p><strong>Contract Duration:</strong> April 6, 2026 – December 31, 2026</p><p><strong>Employment Type:</strong> W2 Contract</p><p><strong>Overview</strong></p><p>We are seeking a highly skilled <strong>AWS Big Data Architect / Senior Data Engineer</strong> to design, develop, and deliver scalable Big Data Warehouse solutions. This is a hands-on role suited for someone who is passionate about technology, thrives in a collaborative environment, and can work effectively with both technical and non-technical stakeholders. The ideal candidate excels in fast-paced settings and is committed to producing high-quality, impactful results.</p><p>This role offers the opportunity to collaborate with engineering teams across the enterprise and influence broader data and technology strategies.</p><p><strong>Key Responsibilities</strong></p><ul><li>Design and develop scalable Big Data Warehouse solutions across the full data supply chain.</li><li>Build and implement metadata management solutions.</li><li>Create and maintain technical documentation, user documentation, data models, data dictionaries, glossaries, process flows, and architecture diagrams.</li><li>Enhance and expand the enterprise Data Lake environment.</li><li>Solve complex data integration challenges across multiple systems.</li><li>Design and execute strategies for real-time data analysis and decision-making.</li><li>Collaborate with business partners, analysts, developers, architects, and engineers to support ongoing data quality initiatives.</li><li>Work closely with Data Science teams to improve actionable insights.</li><li>Continuously expand knowledge of new tools, platforms, and technologies.</li></ul>
<p>Our client is looking for a detail-oriented Financial Sales Analyst to join their team in the Lansdale, Pennsylvania area. This role focuses on delivering insightful financial analysis and reporting to support strategic sales initiatives in a dynamic, commodity-driven market. The ideal candidate will excel at leveraging data to enhance decision-making, optimize pricing strategies, and improve overall financial performance.</p><p><br></p><p>Responsibilities:</p><p>• Analyze weekly sales profit and loss statements to identify key variances and determine underlying causes.</p><p>• Lead budgeting and quarterly forecasting efforts, collaborating with stakeholders to ensure alignment with strategic goals.</p><p>• Partner with the Retail Sales VP and cross-functional teams on critical business initiatives.</p><p>• Provide support for pricing strategies, including broker commission reporting and margin analysis.</p><p>• Monitor commodity market trends, particularly in pork, to evaluate potential impacts on sales.</p><p>• Derive actionable insights from internal and external data to inform trade and promotional planning.</p><p>• Manage promotional accruals and maintain accurate customer and product hierarchies.</p><p>• Utilize advanced business intelligence tools to create dashboards and enhance reporting processes.</p><p>• Conduct data mining and analysis to uncover opportunities for improving financial performance.</p>
We are looking for a skilled Logistics Data Analyst to join our team in Hillside, New Jersey. In this Contract-to-permanent position, you will play a key role in analyzing logistics data, creating actionable insights, and driving process improvements to optimize operations. Ideal candidates are analytical thinkers with expertise in data management tools and a passion for enhancing logistics efficiency.<br><br>Responsibilities:<br>• Collect, clean, and analyze logistics data from multiple sources to uncover trends and areas for improvement.<br>• Develop and maintain dashboards, reports, and presentations to effectively communicate findings to stakeholders.<br>• Implement strategies to enhance logistics processes and efficiency based on data-driven insights.<br>• Define and monitor key performance indicators (KPIs) to measure operational success.<br>• Collaborate with teams across logistics, finance, and IT to support informed decision-making.<br>• Utilize forecasting techniques to predict logistics trends and support strategic planning, including container budgeting based on units.<br>• Manage and optimize databases to ensure data integrity and accessibility.<br>• Perform ad-hoc analyses to address specific projects and initiatives.<br>• Consolidate historical cost and rate information into an organized database for reference.
<p>Model Development & Maintenance</p><p> • Develop and maintain actuarial models and data-driven processes using Python, R, and SQL to support insurance pricing, reserving, and risk management.</p><p> • Implement and enhance month-end processes, rate change calculations, and ad-hoc analyses with a focus on completeness, accuracy, and consistency to ensure data is of the highest quality.</p><p> • Work with the Actuarial and Financial Planning and Analysis (FP& A) teams to automate and improve model performance using Python-based scripting and automation.</p><p> • Ensure accuracy, consistency, and efficiency of actuarial models and methodologies.</p><p> Traditional Actuarial Tasks</p><p> • Support reserving analysis to estimate unpaid claim liabilities primarily in partnership with internal and external actuaries.</p><p> • Develop and maintain loss development triangles and incurred but not reported (IBNR) calculations both based on financial and operational data (e.g., claims closing ratios).</p><p> • Support the development and validation of actuarial assumptions for pricing, reserving, and forecasting.</p><p> • Develop and regularly report on rate change calculations including bifurcation of exposure changes from pure rate by line of business.</p><p> Financial Modeling & Risk Assessment</p><p> • Conduct stress testing and scenario analysis to assess financial impacts.</p><p> • Develop, update, and maintain models for predictive analytics, profitability analysis, and business planning.</p><p> • Assist in forecasting financial performance and evaluating risk exposure.</p><p> </p><p> </p>
<p>We are seeking detail-oriented and analytical Entry Level Financial Data Analysts to support large-scale financial data and communications review initiatives. This role involves analyzing, annotating, and interpreting structured and unstructured financial data—including written and voice-based communications—to help build and enhance advanced data models and monitoring systems.</p><p><br></p><p>This position is ideal for recent graduates with strong academic backgrounds in finance-related disciplines who are interested in financial markets, data analysis, and emerging financial technologies.</p><p><br></p><p>Key Responsibilities</p><ul><li>Review, classify, and annotate financial communications to accurately identify transaction intent and key financial details.</li><li>Analyze written and voice-based financial content to extract structured insights from unstructured data.</li><li>Transcribe and annotate recorded communications with a high degree of accuracy.</li><li>Evaluate financial transactions and instruments, including options, swaps, forwards, and other derivatives.</li><li>Identify financial, trading, or compliance-related elements within communications and datasets.</li><li>Support the development and validation of high-quality training datasets for automated data extraction and monitoring systems.</li><li>Perform detailed quality checks to ensure data integrity, consistency, and accuracy.</li><li>Utilize Microsoft Excel (pivot tables, VLOOKUP/XLOOKUP, formulas) to organize, analyze, and report findings.</li><li>Maintain productivity and precision in a deadline-driven, remote work environment.</li></ul>
<p>This <strong>entry-level</strong> role supports operational activities across various enterprise systems related to <strong>manufacturing, supply chain, finance, and commercial operations</strong>. The analyst will collaborate with both technical and business teams to resolve issues, assist with system enhancements, and support integration efforts. This position offers an excellent opportunity to gain <strong>broad exposure to enterprise IT systems</strong> within a multinational organization.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Support daily operations of enterprise applications, integrations, and data workflows</li><li>Troubleshoot and resolve system or data-related issues with internal and external stakeholders</li><li>Execute configuration updates, system checks, and user-requested changes under guidance</li><li>Assist with onboarding processes for partners, users, or data feeds</li><li>Participate in testing and validation of system updates and project rollouts</li><li>Create and maintain documentation for standard operating procedures and user support</li><li>Monitor system dependencies including certificates, file transfers, and scheduled tasks</li><li>Collaborate with global IT and business teams to ensure application reliability</li><li>Comply with internal controls, data governance standards, and regulatory requirements (e.g., SOX, GDPR)</li></ul><p><br></p>
<p>Rapidly growing client seeks a proactive and strategic M& A Analyst to oversee financial operations for their distribution business. The M& A Analyst will be responsible for budgeting, financial planning, cash flow management, and providing financial insights to support business decisions. In this role, you will also perform ROI analysis, create and maintain complex financial models, provide leadership where needed, develop KPIs, monitor financial performance, develop and implement cost-reduction strategies and financial control, and provide management with strategic plans for long-term financial benefits for the organization. We ideally want a candidate who can own all aspects of the financial management function, possess strong P& L expertise, and advanced budgeting skills.</p><p><br></p><p>What you get to partake in:</p><p>· Oversee day-to-day financial operations including general accounting, budgeting, and forecasting</p><p>· Collaborate with internal teams to access financial performance and cost efficiency</p><p>· Analyze financial data and prepare monthly, quarterly, annual reports</p><p>· Coordinate with management team on profit loss analysis</p><p>· Report on various investment analysis</p><p>· Develop financial models and pricing strategies to support sales and margin improvement</p><p>· Implement internal controls and financial procedures to safeguard company assets</p>
<p>A well‑established organization in Westchester County is seeking a highly analytical and strategic Pricing Analyst to support the development, execution, and continuous improvement of its pricing function. This role plays a key part in shaping pricing strategies, enhancing cross‑departmental processes, and delivering insights that strengthen operational performance and profitability.</p><p><br></p><p>The ideal candidate has strong quantitative skills, enjoys solving complex business problems, and thrives in a collaborative environment.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p><strong>Pricing Strategy & Execution</strong></p><ul><li>Develop and implement pricing strategies aligned with customer needs and company profitability goals.</li><li>Build, maintain, and refine pricing models that support decision‑making across sales, operations, and finance.</li></ul><p><strong>Data Analysis & Insights</strong></p><ul><li>Analyze customer profiles, historical sales trends, and geographic dynamics to recommend pricing actions.</li><li>Use analytical tools and platforms to uncover business challenges and provide data‑driven recommendations.</li><li>Prepare clear, concise reports and presentations for management summarizing findings and proposed solutions.</li></ul><p><strong>Cross‑Functional Collaboration</strong></p><ul><li>Partner with sales, operations, finance, and other teams to support pricing initiatives and ensure consistency across the organization.</li><li>Assist operational teams with adopting new pricing tools, dashboards, and reporting systems.</li></ul><p><strong>Process Optimization</strong></p><ul><li>Identify opportunities to improve pricing processes, tools, and workflows.</li><li>Participate in continuous improvement and Lean‑related activities to enhance efficiency and productivity.</li><li>Support the integration of new models, systems, or methodologies into existing operations.</li></ul><p><strong>Reporting & Continuous Improvement</strong></p><ul><li>Ensure the ongoing enhancement of pricing analysis tools, data models, and reporting frameworks.</li><li>Monitor and measure the success of implemented strategies and recommend iterative improvements.</li></ul><p><br></p>
<p>We are looking for a Sr. Demand Planning Analyst to join our team for a long-term contract to hire position. This role is pivotal in overseeing supply chain operations. The ideal candidate will excel in forecasting, demand planning, data analysis, ensuring inventory optimization and customer satisfaction while minimizing costs.</p><p><br></p><p>Responsibilities:</p><p>• Develop and execute product forecasts by analyzing historical sales trends and market drivers.</p><p>• Lead supply chain meetings and collaborate with stakeholders to align on inventory needs and replenishment strategies.</p><p>• Monitor inventory levels and address critical supply issues, ensuring timely communication of root causes and resolutions.</p><p>• Manage product life cycle events, including launches and discontinuations, to maintain seamless supply chain operations.</p><p>• Facilitate demand planning processes, including monthly consensus reviews and weekly market coverage evaluations.</p><p>• Generate purchase requisitions and oversee purchase orders for assigned products.</p><p>• Maintain key metrics such as forecast accuracy, order fill rates, and on-time delivery performance.</p><p>• Identify and implement continuous improvement initiatives to enhance efficiency and reduce costs.</p><p>• Prepare detailed presentations for stakeholders, providing insights into supply chain opportunities and performance.</p><p>• Collaborate with cross-functional teams, including marketing, finance, and operations, to align on business objectives.</p>
