<p>We are supporting our client in hiring a Product Data Engineer who will take full ownership of their product information environment. This role centers on managing their PIM solution (Salsify), improving data structures, and building automated, API‑driven integrations that ensure product data is clean, scalable, and synchronized across platforms.</p><p>This position will be deeply involved in a major product‑data overhaul, including cleanup, restructuring, and long‑term system improvements. The ideal candidate is someone who enjoys solving data problems, building automated workflows, and improving the reliability of product information across systems.</p><p><br></p><p> Key Responsibilities</p><p>Product Data Platform Ownership</p><ul><li>Act as the primary administrator for the PIM platform</li><li>Define and maintain product attributes, hierarchies, and data relationships</li><li>Create validation rules, formulas, and workflows to enforce data standards</li><li>Manage permissions, governance, and platform configuration</li><li>Troubleshoot issues related to imports, exports, and publishing</li></ul><p>Integrations & Automation</p><ul><li>Manage integrations between the PIM and internal/external systems (eCommerce, retail, etc.)</li><li>Build and support API‑based data flows with a focus on reliability and scale</li><li>Develop automation using scripting (Python preferred)</li><li>Support event‑driven or automated pipelines to reduce manual work</li><li>Monitor integration performance and proactively resolve failures</li></ul><p>Product Data Improvements</p><ul><li>Contribute to a large‑scale product data cleanup and restructuring effort</li><li>Identify gaps in current data models and workflows</li><li>Partner with cross‑functional teams to define scalable data standards</li><li>Improve system design to support long‑term growth</li></ul><p>Channel Syndication</p><ul><li>Manage product data distribution to digital and retail channels</li><li>Ensure data meets channel‑specific requirements</li><li>Troubleshoot publishing issues and improve success rates</li><li>Support product launches and updates across channels</li></ul><p>Data Governance & Quality</p><ul><li>Establish naming conventions, validation rules, and governance standards</li><li>Define and track data quality KPIs (accuracy, completeness, timeliness)</li><li>Utilize or support data governance tools</li><li>Work with business teams to improve data accountability</li></ul><p>Reporting & Metrics</p><ul><li>Build dashboards and reports on data quality and system performance</li><li>Provide insights to leadership to support decision‑making</li><li>Track syndication outcomes and operational metrics</li></ul><p>Operational Support</p><ul><li>Handle day‑to‑day platform usage, enhancements, and issue resolution</li><li>Prioritize incoming requests and tickets</li><li>Ensure stability and reliability of product data operations</li></ul><p><br></p>
<p><strong>Data Engineer – CRM Integration (Hybrid in San Fernando Valley)</strong></p><p><strong>Location:</strong> San Fernando Valley (Hybrid – 3x per week onsite)</p><p><strong>Compensation:</strong> $140K–$170K annual base salary</p><p><strong>Job Type:</strong> Full Time, Permanent</p><p><strong>Overview:</strong></p><p>Join our growing technology team as a Data Engineer with a focus on CRM data integration. This permanent role will play a key part in supporting analytics and business intelligence across our organization. The position offers a collaborative hybrid environment and highly competitive compensation.</p><p><strong>Responsibilities:</strong></p><ul><li>Design, develop, and optimize data pipelines and workflows integrating multiple CRM systems (Salesforce, Dynamics, HubSpot, Netsuite, or similar).</li><li>Build and maintain scalable data architectures for analytics and reporting.</li><li>Manage and advance CRM data integrations, including real-time and batch processing solutions.</li><li>Deploy ML models, automate workflows, and support model serving using Azure Databricks (ML Flow experience preferred).</li><li>Utilize Azure Synapse Analytics & Pipelines for high-volume data management.</li><li>Write advanced Python and Spark SQL code for ETL, transformation, and analytics.</li><li>Collaborate with BI and analytics teams to deliver actionable insights using PowerBI.</li><li>Support streaming solutions with technologies like Kafka, Event Hubs, and Spark Streaming.</li></ul><p><br></p>
<p>We are looking for a skilled Data Analyst to join our team on a long-term contract basis in Berks County, Pennsylvania. This role is ideal for someone who excels at interpreting data, identifying trends, and delivering actionable insights to support organizational goals. You will play a pivotal role in ensuring data accuracy and optimizing processes through advanced analysis techniques.</p><p><br></p><p>Responsibilities:</p><p>• Analyze complex datasets to identify trends, patterns, and insights that guide business decisions.</p><p>• Perform accurate data entry tasks, ensuring the integrity of numeric information.</p><p>• Develop and maintain Excel formulas to streamline data processing and reporting.</p><p>• Generate detailed reports and dashboards tailored to organizational needs.</p><p>• Collaborate with cross-functional teams to understand data requirements and provide solutions.</p><p>• Ensure data accuracy and troubleshoot discrepancies in large datasets.</p><p>• Provide actionable recommendations based on findings from data analysis.</p><p>• Manage and organize datasets for easy retrieval and future use.</p><p>• Monitor data workflows and suggest improvements to enhance efficiency.</p><p>• Maintain confidentiality and security of sensitive information.</p><p>If interested please send resume on a word dcoumnt to Jim.Kirk@Roberhalf com</p>
We are looking for a detail-oriented Data Analyst to support data-driven decision-making in New Orleans, Louisiana. This role focuses on transforming raw information into clear reporting, actionable insights, and reliable dashboards for business stakeholders. The ideal candidate is comfortable working across multiple data sources and uses analytical tools to improve visibility into performance and trends.<br><br>Responsibilities:<br>• Gather, organize, and interpret data from a variety of sources to identify patterns, exceptions, and business opportunities.<br>• Create interactive dashboards and visual reports using Power BI and Tableau to present findings in a clear and meaningful way.<br>• Develop and maintain data integration workflows with SSIS to ensure timely and accurate movement of information between systems.<br>• Analyze operational and business metrics, then translate results into practical recommendations for stakeholders.<br>• Validate data quality by reviewing datasets for completeness, consistency, and accuracy before reporting is delivered.<br>• Partner with technical and business teams to define reporting needs and produce solutions aligned with organizational goals.<br>• Use Microsoft Excel to perform ad hoc analysis, reconciliations, and detailed data reviews when needed.<br>• Document reporting logic, data definitions, and analytical processes to support consistency and ongoing improvements.
<p>Robert Half is seeking a detail-oriented Data Analyst for our partner in the Madison area. This role will support data quality, reporting, and governance initiatives within an enterprise ERP environment. This role focuses on maintaining accurate master data, improving data processes, and supporting reporting and analytics efforts across the organization.</p><p><br></p><p>The ideal candidate enjoys working with data, identifying process improvements, and collaborating with stakeholders to ensure data is reliable, consistent, and actionable.</p><p><br></p><p><strong>This is a Direct/Permanent Hire role that will require an in-office work schedule (Mon-Fri).</strong></p><p><br></p><p>Key Responsibilities</p><ul><li>Monitor and maintain ERP master data to ensure accuracy, consistency, and completeness</li><li>Identify data quality issues such as duplicates, inconsistencies, and missing information and support remediation efforts</li><li>Partner with internal teams to support data cleansing, standardization, and data governance initiatives</li><li>Develop and maintain reports and dashboards to track data quality metrics and operational needs</li><li>Create and maintain documentation including data dictionaries and data definitions</li><li>Support ERP system initiatives including data validation, testing, and migration activities</li><li>Assist with adoption of data management standards, processes, and tools</li><li>Provide support to business users regarding data-related questions and reporting needs </li></ul><p><br></p>
<p>We are looking for an experienced Data Analyst to join our team in Cleveland, Ohio. In this role, you will leverage your expertise to design and optimize data solutions, ensuring the seamless integration and accuracy of information across various systems. This is an exciting opportunity to work with cutting-edge technologies and collaborate with diverse teams to drive data-driven decision-making.</p><p><br></p><p>Responsibilities:</p><p>• Develop and refine data models to enhance performance and operational efficiency.</p><p>• Create data warehouse solutions to manage and access structured and unstructured data effectively.</p><p>• Design, implement, and maintain data integration processes to support analytics and data-driven applications.</p><p>• Establish and enforce data validation procedures to ensure the reliability and consistency of information.</p><p>• Partner with business intelligence teams and other stakeholders to gather requirements and deliver tailored data solutions.</p><p>• Diagnose and resolve issues within data pipelines, including performance bottlenecks and system errors.</p><p>• Stay informed about advancements in data engineering and analytics to incorporate best practices into workflows.</p>
<p>Data Analyst – Enterprise Data & Metadata</p><p>Location: Houston, TX 77002</p><p>Work Arrangement: Onsite</p><p>Schedule: 1st Shift, 9:00 AM – 5:00 PM</p><p><br></p><p>Position Overview</p><p><br></p><p>We are seeking a Data Analyst to support enterprise data initiatives with a strong focus on data understanding, data mapping, and metadata management. This role partners closely with business stakeholders, data engineers, and architects to document data flows, define source‑to‑target mappings, and curate high‑quality metadata using Atlan with Snowflake as the core data platform.</p><p>The ideal candidate is detail‑oriented, analytically strong, and excels at translating complex data structures into clear, trusted documentation. Success in this role directly improves data transparency, governance readiness, and self‑service analytics across the organization.</p><p><br></p><p>Key Responsibilities</p><p>Data Mapping & Documentation</p><ul><li>Create and maintain source‑to‑target mappings, data flow diagrams, and transformation logic for Snowflake data assets.</li><li>Analyze source systems and Snowflake tables to document lineage, relationships, and dependencies.</li><li>Partner with data engineers and architects to validate mappings and align with Snowflake data models.</li></ul><p>Metadata Management & Atlan</p><ul><li>Publish and maintain data assets, schemas, tables, columns, and glossary terms in Atlan.</li><li>Document business definitions, ownership, freshness, and usage guidance.</li><li>Curate trusted data catalogs to support governance and self‑service discovery.</li><li>Ensure metadata accuracy, completeness, and consistency across platforms.</li></ul><p>Data Analysis & Validation</p><ul><li>Use Snowflake SQL to analyze datasets for completeness, structure, and quality.</li><li>Validate data transformations and downstream usage against documented mappings.</li><li>Support impact analysis by identifying affected assets using lineage and metadata.</li></ul><p>Collaboration & Enablement</p><ul><li>Act as a bridge between business, engineering, and governance teams.</li><li>Support governance, observability, and audit readiness through strong documentation.</li><li>Contribute to standards and best practices for enterprise data documentation.</li></ul>
<p>We are seeking a detail-oriented Systems Analyst to support and optimize enterprise labeling and automation processes. This role plays a critical part in ensuring accuracy, consistency, and compliance across product labeling and operational workflows.</p>
<p>Robert Half is seeking a results-driven Data Analyst for a dynamic organization in St. Louis, Missouri. If you have a passion for uncovering actionable insights, proficiency with advanced analytics tools, and enjoy collaborating to support business strategy, we want to hear from you. This opportunity offers the chance to join a team shaping the future of data-driven decision making.</p><p><strong> </strong></p><p><strong>Key Responsibilities:</strong></p><p>· Collect, analyze, and interpret complex data sets utilizing advanced statistical methods and data visualization tools.</p><p>· Generate business insights and present clear, actionable recommendations to stakeholders.</p><p>· Develop and maintain dashboards and reports using tools such as Power BI, SQL, Excel, and others.</p><p>· Collaborate cross-functionally with IT, Finance, Operations, and other business units to solve critical business challenges.</p><p>· Identify trends, patterns, and opportunities for process improvements and new initiatives.</p>
<p>We are looking for a skilled Data Analyst to join our team. In this role, you will transform complex datasets into actionable insights that drive business decisions. This position offers an exciting opportunity to collaborate with stakeholders while leveraging advanced tools and techniques to optimize data processes.</p><p><br></p><p>Responsibilities:</p><p>• Design, implement, and manage data pipelines and reporting systems to support strategic decision-making.</p><p>• Develop and maintain interactive dashboards and reports using Power BI to monitor and visualize key metrics.</p><p>• Utilize SQL to extract, transform, and analyze data from diverse sources, ensuring accuracy and consistency.</p><p>• Create Python scripts to automate data workflows, perform analysis, and improve operational efficiency.</p><p>• Partner with stakeholders to understand reporting requirements and translate them into effective technical solutions.</p><p>• Conduct data quality assessments and establish validation protocols to ensure data reliability.</p><p>• Document data processes, methodologies, and technical specifications for future reference.</p><p>• Analyze datasets to uncover trends, patterns, and anomalies, providing actionable insights and recommendations.</p>
We are looking for a highly skilled Data Analyst to join our team in Belgrade, Maine. This is a long-term contract position offering the opportunity to contribute to advanced data solutions and cloud-based projects. The role involves working with large-scale data migrations and developing modern data pipelines using cutting-edge technologies.<br><br>Responsibilities:<br>• Design and implement efficient data pipelines to ingest, transform, and deliver data across enterprise systems.<br>• Develop and manage Azure-based Data Lakes and associated cloud data services.<br>• Lead large-scale data migration projects from on-premise systems to Azure cloud environments.<br>• Create scalable data models and curated datasets to support business intelligence and reporting.<br>• Ensure data integrity, quality, governance, and security throughout all workflows.<br>• Collaborate with technical and business teams to translate requirements into impactful data solutions.<br>• Optimize data architectures to improve performance and scalability.<br>• Support business intelligence platforms like Power BI by delivering curated datasets and analytics layers.<br>• Monitor and troubleshoot data workflows to ensure seamless operations.
We are looking for a Data Analyst to join a Long-term Contract opportunity based in Memphis, Tennessee. In this role, you will help strengthen the accuracy, consistency, and reliability of customer and operational data across enterprise systems while supporting teams that rely on clean information for daily business activities. This position is well suited for someone who is analytical, highly detail-focused, and comfortable managing request-driven work while contributing to better data practices and long-term process improvements.<br><br>Responsibilities:<br>• Manage incoming data-related requests through a centralized ticket queue, ensuring timely follow-up and resolution.<br>• Update and maintain customer and operational records in enterprise systems with a strong focus on completeness, accuracy, and traceability.<br>• Examine source details before making changes and record updates clearly to support auditability and governance standards.<br>• Research data discrepancies that affect downstream functions such as reporting, pricing, order activity, or operational workflows, and drive issue resolution.<br>• Review current data handling procedures to identify recurring errors, process weaknesses, and opportunities to improve efficiency.<br>• Help create and refine process documentation and standard operating guidelines that promote consistent data management practices.<br>• Produce recurring reports and performance metrics related to data quality, service volumes, and issue trends for business stakeholders.<br>• Analyze exception findings and quality variances, including potential fraud-related patterns or compliance concerns, and summarize insights clearly.<br>• Partner with operations, finance, customer support, IT, and other internal groups to resolve complex data issues and improve user experience across systems.
<p>Our client is seeking a Data Scientist II – Generative AI to join a cutting-edge team focused on building scalable, production-ready AI solutions that transform business workflows and deliver measurable impact across global operations. This role is ideal for professionals passionate about leveraging Generative AI technologies, creating intelligent agents, and driving innovation at scale.</p><p><br></p><p>You will design and implement GenAI-powered agents that streamline internal processes, enhance productivity, and support business development initiatives. Responsibilities include developing robust prompt engineering frameworks, building RAG pipelines, and converting prototypes into production-ready solutions. You’ll collaborate closely with engineering and business teams to ensure solutions meet diverse client needs and are optimized for global deployment.</p><p><br></p><p>Key projects include extending the company’s GPT platform, creating AI agents that improve efficiencies for RFP development, onboarding materials, and SOW requirements. Success in this role means quickly ramping up on backlog projects, delivering high-priority initiatives, and staying ahead of emerging GenAI frameworks to continuously advance internal AI capabilities.</p>
We are looking for an experienced Senior Data Scientist to join our dynamic team in Boston, Massachusetts. In this role, you will leverage your expertise in statistical modeling, machine learning, and cloud-based analytics to drive impactful decisions and solutions. The ideal candidate will bring a strong technical background, a passion for working with regulated data, and a commitment to ethical AI practices.<br><br>Responsibilities:<br>• Develop and implement advanced statistical models and machine learning algorithms to solve complex business problems.<br>• Monitor and evaluate the performance of AI models, ensuring reliability, fairness, and compliance with ethical standards.<br>• Collaborate with engineering and product teams to translate data-driven insights into actionable strategies.<br>• Utilize cloud-based tools such as AWS SageMaker and Redshift to design and deploy scalable analytics solutions.<br>• Handle sensitive healthcare or clinical trial datasets while adhering to strict data privacy and security regulations.<br>• Conduct exploratory data analysis and create visualizations to communicate findings effectively.<br>• Build and optimize ETL pipelines for efficient data transformation and integration.<br>• Apply Bayesian statistics and time-series forecasting techniques to improve predictive accuracy.<br>• Maintain comprehensive documentation of data science workflows and processes.<br>• Stay updated on industry trends and advancements to continuously enhance methodologies and tools.
<p><strong>Data Scientist III (Senior)</strong></p><p><strong>Location: </strong>Hybrid Columbus, OH </p><p><strong>Service Type:</strong> 13 Week Contract to Hire </p><p><strong>Pay: </strong>Available on W2 Basis </p><p><strong>Job Summary</strong></p><p>A leading financial services organization is seeking a skilled and data‑driven <strong>Senior Data Scientist</strong> to join its Enterprise Analytics team. This role supports the company’s growth strategy by delivering data‑driven insights and uncovering opportunities that enhance customer experience and value delivery.</p><p>The Senior Data Scientist will partner closely with business stakeholders using a consultative approach to analyze customer, product, channel, and digital data. This role focuses on translating complex analytical findings into actionable, intuitive insights that guide strategic decision‑making. The position requires strong technical expertise, clear communication skills, and a passion for optimization, data storytelling, and visualization.</p><p>This is a highly visible role with the opportunity to collaborate across teams such as Product, Marketing, Finance, Data, and senior leadership, while contributing to initiatives that shape enterprise‑level strategy.</p><p><strong>Team Overview</strong></p><p>This position sits within an Enterprise Data & Analytics organization composed of analytics and data science professionals experienced with tools such as <strong>R, Python, SAS, SQL, Tableau, and Adobe Analytics/Target</strong>. The team primarily supports Digital and Omnichannel initiatives but frequently partners across the organization, including Product, Marketing, Consumer Sales and Operations, Business and Commercial Banking, Private Client, Payments, and IT.</p><p>The team operates within an Agile framework and supports projects across the full lifecycle—from ideation through delivery—on large, high‑impact initiatives. The environment is fast‑paced and collaborative, offering opportunities to influence both individual projects and broader organizational direction.</p><p><strong> Key Responsibilities</strong></p><ul><li>Apply advanced analytics methods to extract value from complex business data</li><li>Design and execute large‑scale experiments and build data‑driven models to address business questions</li><li>Research and evaluate emerging techniques and tools in machine learning, deep learning, and artificial intelligence</li><li>Define data and modeling requirements to train and evolve predictive and deep learning models</li><li>Present data‑driven insights and recommendations to influence product and business teams</li><li>Partner with cross‑functional stakeholders to support data‑informed decision‑making</li><li>Perform additional duties as assigned</li></ul>
<p><strong>Data Scientist (Big Data) III – Contractor</strong></p><p><strong>Employment Type:</strong> 27 Week Contract, Potential for Extension or Conversion</p><p><strong>Location: </strong>MUST CURRENTLY RESIDE in Philadelphia Region</p><p><strong>Employment Type:</strong> Contract / Temporary</p><p><strong>Pay: </strong>Available on W2 </p><p><strong>Position Overview</strong></p><p>The Senior Data Scientist (Big Data) will support large‑scale data science initiatives by designing, developing, and deploying advanced analytical and machine learning solutions. This role collaborates closely with data engineers, analysts, software developers, and business stakeholders to deliver scalable, production‑ready data products that drive data‑informed decision making.</p><p>The successful candidate will apply statistical modeling, machine learning, and big data technologies to solve complex business problems, while also providing technical guidance and mentorship across project teams.</p><p><strong>Key Responsibilities</strong></p><ul><li>Lead complex, cross‑functional data science initiatives delivering solutions across multiple technologies and platforms.</li><li>Design, develop, and deploy data mining, statistical, machine learning, and graph‑based algorithms for large‑scale data sets.</li><li>Partner with data engineering teams to ensure proper implementation, performance, and operational use of analytical solutions.</li><li>Review and assess data science programs and models at an enterprise level to evaluate suitability, performance, and scalability.</li><li>Build and maintain scalable big‑data analytics solutions supporting accurate targeting, forecasting, and advanced insights.</li><li>Develop and support end‑to‑end machine learning pipelines, including data preparation, training, testing, validation, and deployment.</li><li>Establish performance metrics, monitoring, and evaluation procedures for models in production.</li><li>Translate complex analytical findings into clear, actionable insights for technical and non‑technical stakeholders.</li><li>Provide mentorship and technical guidance to junior team members.</li><li>Contribute to data strategy, methodology selection, and continuous improvement of analytics capabilities.</li><li>Support testing, validation, and user acceptance activities to ensure alignment with business requirements.</li><li>Perform additional related duties as needed to support analytics and data initiatives.</li></ul>
<p>We are seeking a talented and motivated Python Data Engineer to join our global team. In this role, you will be instrumental in expanding and optimizing our data assets to enhance analytical capabilities across the organization. You will collaborate closely with traders, analysts, researchers, and data scientists to gather requirements and deliver scalable data solutions that support critical business functions.</p><p><br></p><p>Responsibilities</p><ul><li>Develop modular and reusable Python components to connect external data sources with internal systems and databases.</li><li>Work directly with business stakeholders to translate analytical requirements into technical implementations.</li><li>Ensure the integrity and maintainability of the central Python codebase by adhering to existing design standards and best practices.</li><li>Maintain and improve the in-house Python ETL toolkit, contributing to the standardization and consolidation of data engineering workflows.</li><li>Partner with global team members to ensure efficient coordination and delivery.</li><li>Actively participate in internal Python development community and support ongoing business development initiatives with technical expertise.</li></ul>
<p>Robert Half is seeking an experienced Data Architect to design and lead scalable, secure, and high-performing enterprise data solutions. This role will focus on building next-generation cloud data platforms, driving adoption of modern analytics technologies, and ensuring alignment with governance and security standards.</p><p><br></p><p>You’ll serve as a hands-on technical leader, partnering closely with engineering, analytics, and business teams to architect data platforms that enable advanced analytics and AI/ML initiatives. This position blends deep technical expertise with strategic thinking to help unlock the value of data across the organization.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design and implement end-to-end data architecture for big data and advanced analytics platforms.</li><li>Architect and build Delta Lake–based lakehouse environments from the ground up, including DLT pipelines, PySpark jobs, workflows, Unity Catalog, and Medallion architecture.</li><li>Develop scalable data models that meet performance, security, and governance requirements.</li><li>Configure and optimize clusters, notebooks, and workflows to support ETL/ELT pipelines.</li><li>Integrate cloud data platforms with supporting services such as data storage, orchestration, secrets management, and analytics tools.</li><li>Establish and enforce best practices for data governance, security, and cost optimization.</li><li>Collaborate with data engineers, analysts, and stakeholders to translate business requirements into technical solutions.</li><li>Provide technical leadership and mentorship to team members.</li><li>Monitor, troubleshoot, and optimize data pipelines to ensure reliability and efficiency.</li><li>Ensure compliance with organizational and regulatory standards related to data privacy and security.</li><li>Create and maintain documentation for architecture, processes, and governance standards.</li></ul><p><br></p>
<p>We are looking for an experienced Data Architect to join our team on a long-term contract basis in Cleveland, Ohio. This role involves designing scalable enterprise data platforms, ensuring data quality, and implementing robust data governance frameworks. You will play a pivotal role in leveraging Azure services and AI-driven analytics to optimize data architecture and enhance operational insights.</p><p><br></p><p>Responsibilities:</p><p>• Develop and implement enterprise-wide data architectures and canonical data models.</p><p>• Establish data ownership protocols, governance standards, and quality benchmarks.</p><p>• Analyze and stabilize data pipelines across distributed systems and platforms.</p><p>• Perform detailed data analysis and reconciliation to identify and resolve integrity issues.</p><p>• Design and implement monitoring tools to validate and improve data quality.</p><p>• Enhance data observability and lineage tracking to streamline governance processes.</p><p>• Utilize AI-driven analytics and automation to detect anomalies and accelerate decision-making.</p><p>• Collaborate with engineering teams to align data architecture with integration services and platform requirements.</p><p>• Optimize event-driven and distributed data systems for scalability and reliability.</p><p>• Conduct hands-on work with Azure services, such as Azure Data Factory and Synapse, to implement solutions.</p>
<p>Benefits:</p><ul><li>medical</li><li>dental</li><li>vision</li><li>life insurance</li><li>401k</li><li>paid time off</li></ul><p>Responsibilities</p><ul><li>Collect, validate, and maintain accurate data across multiple systems and reports.</li><li>Enter, update, and reconcile data within SAP to ensure consistency and data integrity.</li><li>Develop, maintain, and enhance spreadsheets, dashboards, and reports using Microsoft Excel (including formulas, pivot tables, lookups, and data analysis tools).</li><li>Analyze large datasets to identify trends, discrepancies, and actionable insights.</li><li>Support operational and financial teams with recurring and ad hoc data requests.</li><li>Perform routine data quality checks and audits to ensure accuracy and completeness.</li><li>Document data processes, definitions, and reporting standards.</li></ul>
<p>Benefits:</p><ul><li>medical</li><li>dental</li><li>vision</li><li>life insurance</li><li>401k</li><li>paid time off</li></ul><p>Responsibilities</p><ul><li>Collect, validate, and maintain accurate data across multiple systems and reports.</li><li>Enter, update, and reconcile data within SAP to ensure consistency and data integrity.</li><li>Develop, maintain, and enhance spreadsheets, dashboards, and reports using Microsoft Excel (including formulas, pivot tables, lookups, and data analysis tools).</li><li>Analyze large datasets to identify trends, discrepancies, and actionable insights.</li><li>Support operational and financial teams with recurring and ad hoc data requests.</li><li>Perform routine data quality checks and audits to ensure accuracy and completeness.</li><li>Document data processes, definitions, and reporting standards.</li></ul><p><br></p>
We are looking for a detail-oriented Data Specialist to join a retail food organization in Matawan, New Jersey on a contract basis with the potential for a permanent role. This position supports the accuracy, organization, and upkeep of critical business data while partnering with teams across the company to maintain reliable information and resolve discrepancies. The ideal candidate is analytical, highly organized, and comfortable balancing data administration, issue resolution, and cross-functional communication in a fast-paced office environment.<br><br>Responsibilities:<br>• Maintain accurate product, vendor, store, and employee records across internal databases and business systems.<br>• Set up new item information for merchandising teams and update existing records to reflect current business needs.<br>• Review promotional data and offers carefully, identifying inconsistencies and making corrections before release.<br>• Examine data across multiple applications to verify completeness, consistency, and overall quality standards.<br>• Investigate data-related issues, determine underlying causes, and coordinate fixes with internal stakeholders, including IT when needed.<br>• Perform routine audits and monitor daily reports to detect errors, address exceptions, and support data governance practices.<br>• Assist with system testing, validation activities, and the rollout of data updates to ensure dependable results.<br>• Provide guidance to colleagues on data processes, explain how information flows through business operations, and support training material preparation.
<p>Benefits:</p><ul><li>medical</li><li>dental</li><li>vision</li><li>life insurance</li><li>401k</li><li>paid time off</li></ul><p><br></p><p>Responsibilities</p><ul><li>Collect, validate, and maintain accurate data across multiple systems and reports.</li><li>Enter, update, and reconcile data within SAP to ensure consistency and data integrity.</li><li>Develop, maintain, and enhance spreadsheets, dashboards, and reports using Microsoft Excel (including formulas, pivot tables, lookups, and data analysis tools).</li><li>Analyze large datasets to identify trends, discrepancies, and actionable insights.</li><li>Support operational and financial teams with recurring and ad hoc data requests.</li><li>Perform routine data quality checks and audits to ensure accuracy and completeness.</li><li>Document data processes, definitions, and reporting standards.</li></ul>
<p>Our client in the Lower Fairfield, CT area has an opening for Business Analyst Consultant. In this long-term contract role, you will play a pivotal part in driving data-driven insights and supporting strategic decisions across a dynamic organization. The ideal candidate will bring a wealth of expertise in data analysis and business intelligence, paired with a deep understanding of industry-specific practices.</p><p><br></p><p>Responsibilities:</p><p>• Produce accurate and detail-oriented reports tailored to a diverse range of stakeholders.</p><p>• Leverage best practices to ensure data analysis aligns with industry standards and organizational objectives.</p><p>• Collaborate with teams to deliver actionable insights based on cleaned and organized data.</p><p>• Utilize expertise in multiple data systems to streamline reporting processes and enhance efficiency.</p><p>• Ensure high levels of accuracy and attention to detail in all data-related outputs.</p><p>• Support strategic decision-making by analyzing transaction timelines and other critical metrics.</p><p>• Apply knowledge of private equity operations to optimize data reporting and visualization.</p><p>• Develop and maintain data visualization tools to communicate findings effectively.</p><p>• Manage the integration and analysis of data across multiple operating systems.</p><p>• Partner with senior executives to align analytics initiatives with organizational goals.</p><p>If you are interested in this Business Analyst role, please email your resume in a Word format to joseph.colagiacomo@roberthalf with the subject line: "Business Analyst"</p>
We are looking for a skilled Business Analytics/Data Analyst to support data-driven decision-making and enhance business intelligence processes. In this long-term contract role, you will play a key part in analyzing complex datasets and providing actionable insights to drive organizational success. The position is based in Arlington, Texas.<br><br>Responsibilities:<br>• Conduct detailed data analysis to identify patterns, trends, and actionable insights.<br>• Develop and maintain business intelligence reports using tools such as BusinessObjects Technologies.<br>• Perform audits of commercial contracts to ensure compliance and accuracy.<br>• Abstract and analyze key terms from contracts to support decision-making.<br>• Collaborate with cross-functional teams to gather data requirements and optimize analytics processes.<br>• Utilize advanced data analytics tools to process and interpret large datasets.<br>• Provide recommendations to improve business operations based on data findings.<br>• Ensure the integrity and security of data used for analysis and reporting.<br>• Support the organization in leveraging data for strategic planning and forecasting.