<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>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>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>
<p><b>Data Analyst </b></p><p>On-site | Austin, TX | Contract</p><p><br></p><p><strong>Responsiblities:</strong></p><ul><li>Collect, analyze, and interpret large datasets to support business decision‑making</li><li>Develop, maintain, and automate reports, dashboards, and visualizations</li><li>Identify trends, patterns, and insights to drive data‑driven recommendations</li><li>Translate business requirements into clear analytical questions and solutions</li><li>Write and optimize SQL queries to extract and analyze data from multiple sources</li><li>Ensure data accuracy, consistency, and integrity across reports and dashboards</li><li>Partner with stakeholders across departments to understand reporting and analytics needs</li><li>Perform ad‑hoc analyses to support strategic initiatives and executive requests</li><li>Document data definitions, metrics, and reporting processes</li><li>Continuously improve data quality, reporting efficiency, and analytical processes</li></ul>
<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>
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 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>
We are looking for a detail-oriented Data Analyst to join a long-established electrical construction organization in New York, New York. This contract position with permanent potential focuses on maintaining accurate financial and operational records while supporting accounts payable, purchasing, and, as needed, payroll-related data tasks. The ideal candidate brings strong data entry accuracy, comfort working with high volumes of information, and the ability to stay organized in a fast-paced office environment.<br><br>Responsibilities:<br>• Enter and update large volumes of financial and purchasing information with a high degree of accuracy and timeliness.<br>• Support accounts payable processing by recording invoice details, verifying entries, and helping maintain organized payment records.<br>• Assist with purchasing documentation by inputting order information, tracking records, and keeping related data current.<br>• Provide additional administrative data support for payroll activities when needed, ensuring information is complete and properly entered.<br>• Review submitted data for inconsistencies or missing details and follow up to help maintain reliable records.<br>• Organize and maintain spreadsheets, databases, and internal files used for reporting and daily operations.<br>• Work closely with accounting and operations staff to ensure information is entered correctly and aligned with business needs.
<p>Robert Half is seeking a meticulous a Data Analyst to support equipment finance activities for a contract opportunity with permanent potential based in Philadelphia, Pennsylvania. This Data Analyst role centers on reviewing business and account information, confirming data accuracy across financial platforms, and helping maintain dependable records for reporting and operational use. The ideal Data Analyst candidate is highly detail-oriented, comfortable working with large datasets, and able to spot inconsistencies that could affect finance or fraud-related analysis. Click the apply button today and put your talents to the test. If you have any questions, please contact Robert Half at 215-568-4580 and mention job reference #03720-0013428417.</p><p><br></p><p><br></p><p>As a Data Analyst Your Responsibilities will include but are not limited to:</p><p>• Review account and company records across Salesforce and internal data sources to confirm completeness, accuracy, and proper classification.</p><p><br></p><p>• Investigate discrepancies, missing details, and conflicting information, then update records or escalate issues for resolution.</p><p><br></p><p>• Validate that organizations tied to accounts are legitimate equipment-selling businesses and flag records that appear questionable.</p><p><br></p><p>• Perform structured data quality checks that strengthen reporting reliability for operations and finance stakeholders.</p><p><br></p><p>• Partner with cross-functional teams to clarify record issues, support accurate financial information, and improve overall data confidence.</p><p><br></p><p>• Document findings, corrections, and recurring data issues to support audit readiness and process refinement.</p><p><br></p><p>• Use Excel and other data tools to analyze record sets, identify patterns, and support efficient validation work.</p><p><br></p><p>• Contribute to fraud-aware data review efforts by recognizing suspicious inconsistencies and escalating potential risk indicators when necessary.</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 an experienced Data Analyst to support healthcare initiatives in Philadelphia, Pennsylvania. This is a long-term contract position that requires strong analytical skills and a focus on fraud detection and prevention. The ideal candidate will leverage data-driven insights to enhance decision-making and ensure the integrity of healthcare operations.<br><br>Responsibilities:<br>• Conduct detailed data analyses to identify patterns of suspected fraud and anomalies in healthcare systems.<br>• Develop and implement fraud detection models using advanced analytics tools and techniques.<br>• Collaborate with cross-functional teams to investigate potential fraudulent activities and propose actionable solutions.<br>• Utilize platforms such as Epics and Chartmaxx to extract and analyze data effectively.<br>• Generate comprehensive reports and dashboards to present findings and support decision-making.<br>• Monitor ongoing healthcare operations to ensure compliance with anti-fraud protocols.<br>• Optimize data workflows and processes to enhance efficiency and accuracy.<br>• Stay updated on industry trends and best practices in fraud analytics and healthcare data analysis.<br>• Provide recommendations to improve system integrity and prevent future fraudulent activities.
We are looking for a Data Analyst to join a Contract assignment in Mechanicsville, Virginia. This position focuses on evaluating financial and operational data tied to Azure cloud services and on-premises infrastructure, helping teams make informed decisions around forecasting, budgeting, and cost efficiency. The ideal candidate brings strong analytical capability, comfort with financial reporting, and the ability to turn complex data into clear business insights.<br><br>Responsibilities:<br>• Examine cloud and infrastructure spending data to identify trends, usage patterns, and cost drivers across Azure and on-premises environments.<br>• Build and refine Power BI dashboards and reporting tools that highlight budget performance, workload efficiency, and the financial impact of server-related changes.<br>• Compare forecasted and actual technology spend on a monthly and annual basis, investigating variances and surfacing potential savings opportunities.<br>• Maintain and improve reporting datasets by consolidating information from sources such as Apptio, Azure platforms, and SharePoint while preserving data quality.<br>• Create clear documentation for recurring reporting methods, analytical workflows, and financial data management practices.<br>• Partner with cloud operations, infrastructure teams, and finance stakeholders to ensure cost models reflect real operational conditions and business priorities.<br>• Support migration and capacity planning efforts by modeling future cost scenarios and estimating resource needs for Azure environments.<br>• Provide analysis that supports FinOps initiatives, including insights into utilization behavior, billing trends, and optimization opportunities.
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 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.
<p>We are seeking a Data Scientist to support and enhance production analytics and machine learning solutions. This role focuses on improving model performance, scalability, and reliability while partnering with cross-functional teams to deliver impactful data-driven outcomes.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Develop, evaluate, and deploy machine learning and analytics solutions in production environments.</li><li>Analyze existing models and data workflows; identify opportunities for improvement and modernization.</li><li>Collaborate with product, engineering, and business teams to deliver scalable solutions.</li><li>Establish performance monitoring, testing, and iteration processes for continuous improvement.</li><li>Contribute to data pipeline development and ensure high-quality, reliable datasets.</li></ul><p><br></p>
<p>Our company is seeking a highly analytical and innovative Data Scientist to join our growing team in St. Louis, Missouri. In this role, you will leverage advanced data modeling, machine learning, and statistical techniques to drive actionable business insights and support critical decision-making.</p><p><strong> </strong></p><p><strong>Key Responsibilities:</strong></p><p>· Develop and implement predictive models, machine learning algorithms, and analytical frameworks to solve complex business challenges</p><p>· Analyze large datasets using statistical methods, data mining, and visualization tools</p><p>· Collaborate with cross-functional teams to identify opportunities for data-driven improvements and deliver impactful solutions</p><p>· Communicate results and recommendations clearly to both technical and non-technical stakeholders</p><p>· Stay up to date with emerging trends, tools, and technologies in data science and analytics</p>
<p>We are looking for an experienced Data Scientist to join our team in San Francisco, California. In this senior-level role, you will lead initiatives from concept to completion, leveraging your expertise in data analytics, finance, and product development. This is a hybrid (2-3 days) long-term contract position based in San Francisco and offers a unique opportunity to work on impactful projects while mentoring less experienced team members.</p><p><br></p><p>Responsibilities:</p><p>• Take full ownership of projects, managing them from initial planning through delivery and implementation.</p><p>• Develop and prototype innovative, data-driven tools, including internal tools such as pricing engines.</p><p>• Define and implement parameters and logic for pricing outputs based on large datasets.</p><p>• Build and maintain data models and prototypes to support business decision-making processes.</p><p>• Collaborate with stakeholders to ensure tools and models align with business needs and fund-related use cases.</p><p>• Perform hands-on analysis and modeling of large datasets to support pricing and tool development.</p><p>• Create solutions that integrate data insights with financial operations, enhancing efficiency and accuracy.</p><p>• Mentor and oversee less experienced team members, ensuring team goals and project deliverables are met.</p><p>• Drive execution of projects by defining requirements, managing timelines, and delivering functional products.</p><p>• Experience with large scale data processing and distributed systems like Spark or Airflow.</p><p><br></p>
<p><strong>Data Reporting Analyst</strong></p><p>We are seeking a Data Reporting Analyst to support business reporting and data visualization initiatives. This role will focus on building and maintaining dashboards that provide insight into operational performance, SLAs, and KPIs. The position is an ongoing contract with potential for conversion and follows a hybrid work schedule.</p><p><strong>Responsibilities</strong></p><ul><li>Design, develop, and maintain Power BI dashboards to support business and IT reporting needs</li><li>Analyze and interpret data to track SLAs, KPIs, and operational performance</li><li>Partner closely with the IT Director to review trends, metrics, and reporting requirements</li><li>Ensure data accuracy, consistency, and usability across reports and dashboards</li><li>Support ongoing reporting enhancements and ad-hoc data analysis requests</li></ul><p><br></p>
<p><strong>Position: Director of Data & Analytics</strong></p><p><strong>Location: Fully Remote </strong></p><p><strong>Salary: $150,000 - 180,000 base + excellent benefits</strong></p><p> </p><p><strong>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***</strong></p><p>This is a <strong>new, high‑impact leadership role</strong> where data is being elevated to drive the business forward—not just report on it. The organization is investing heavily in modern analytics and enterprise systems, creating a rare opportunity for a seasoned data leader from <strong>retail, manufacturing, or distribution</strong> to shape how insights power day‑to‑day decisions across the business.</p><p>If you thrive working close to operations—and enjoy turning complex, messy data into clarity—this role offers unmatched visibility, autonomy, and long‑term growth.</p><p><strong>Where you’ll make an impact</strong></p><ul><li>Build and own a modern enterprise data and analytics platform from the ground up</li><li>Design scalable data architectures using Microsoft Fabric or comparable cloud platforms</li><li>Model and analyze data across core operational domains:</li><li>Order‑to‑Cash, Procure‑to‑Pay</li><li>Inventory, Warehouse, Supply Chain</li><li>Finance and Cost Management</li><li>Create reliable pipelines and transformations using SQL and modern data tools</li><li>Deliver executive‑level dashboards and insights through Power BI and Phocas</li><li>Translate operational and financial data into KPIs leaders actually use</li><li>Partner closely with operations, finance, and field leadership to drive performance</li><li>Establish strong data governance, quality, and consistency across systems</li></ul><p><strong>Ideal background</strong></p><ul><li>Senior, hands‑on data leadership experience in <strong>retail, manufacturing, wholesale, or supply‑chain‑driven environments</strong></li><li>Deep expertise in SQL, data modeling, and enterprise analytics</li><li>Strong experience working with ERP and operational data</li><li>Experience with Microsoft Fabric (or similar), Power BI, and analytics platforms</li><li>Cloud data platform and modern data stack experience</li><li>Familiarity with K8, Navigator, or SPS Commerce is helpful but not required</li></ul><p><strong>Why this role stands out</strong></p><ul><li><strong>Fully remote</strong> with strong executive support</li><li>Newly elevated data function with real influence</li><li>Opportunity to modernize analytics that directly impact operations and profitability</li><li>Clear runway for <strong>growth and advancement</strong> as the organization scales</li></ul><p><strong>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. Also, you may contact me by office: 515-303-4654. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. *** </strong></p><p> </p>
<p>We are looking for a Financial Data Analyst to support analytical and reporting activities in New Jersey. This long-term contract position is well suited for an entry-level candidate or early-career individual who brings strong Excel capabilities, a solid understanding of market concepts, and a sharp eye for interpreting complex financial information. The role offers the opportunity to work with financial data, evaluate text-based content, and contribute to accurate analysis across multiple systems and tools.</p><p><br></p><p>Responsibilities:</p><p>• Analyze financial datasets to identify patterns, inconsistencies, and meaningful insights that support business decisions</p><p>• Review and interpret unstructured financial text and convert key details into organized, usable information</p><p>• Prepare spreadsheets, summaries, and recurring reports using advanced Microsoft Excel functions and formulas</p><p>• Enter, validate, and maintain numeric financial information with a high level of accuracy and attention to detail</p><p>• Work across various financial software platforms to gather data, update records, and support analysis requests</p><p>• Assist with market-related research by monitoring financial information and compiling findings for internal stakeholders</p>
<p>We are looking for a skilled Data Warehouse Analyst to join our team in New Jersey. In this role, you will transform logistics challenges into actionable insights through advanced data analysis and reporting. By collaborating with cross-functional teams, you will play a pivotal role in enhancing operational efficiency and driving key business decisions.</p><p><br></p><p>Responsibilities:</p><p>• Collaborate with Operations, Transportation, and Finance teams to establish and refine KPIs that drive logistics and fulfillment performance.</p><p>• Develop and optimize labor planning and forecasting models for warehouse and delivery operations, partnering closely with recruitment teams.</p><p>• Analyze distribution and fulfillment data to uncover performance trends and identify cost-saving opportunities.</p><p>• Design and maintain dashboards and reports to provide real-time insights into logistics metrics, including delivery times, warehouse productivity, and route optimization.</p><p>• Automate reporting processes to improve accuracy and timeliness of operational data.</p><p>• Continuously enhance data integrity and streamline workflows to optimize logistics operations.</p><p>• Work on data modeling and warehousing projects to support scalable analytics and reporting solutions.</p><p>• Partner with stakeholders to deliver clear and actionable insights to improve decision-making processes.</p><p>• Investigate and implement tools and techniques to improve overall business intelligence capabilities.</p>
<p>Robert Half is seeking a detail‑driven <strong>Marketing Data Analyst</strong> for a Washington, DC client. This temporary role is ideal for someone who can quickly step into a fast‑paced marketing environment, analyze campaign performance, and translate data into insights that drive strategy and growth.</p><p><strong>Key Responsibilities</strong></p><ul><li>Analyze marketing campaign performance across digital channels (email, social, paid media, web)</li><li>Build dashboards and reports to track KPIs, conversion metrics, and audience behavior</li><li>Clean, validate, and organize marketing datasets from CRM, automation platforms, and analytics tools</li><li>Provide insights and recommendations to improve targeting, segmentation, and ROI</li><li>Support A/B testing, attribution modeling, and customer journey analysis</li><li>Collaborate with marketing, sales, and product teams to align data insights with business goals</li><li>Maintain data accuracy and documentation for ongoing reporting processes</li><li><br></li></ul><p><br></p>