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252 results for Data Warehouse Analyst jobs

Data Architect
  • Green Bay, WI
  • onsite
  • Permanent / Full Time
  • 140000 - 170000 USD / Yearly
  • <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>
  • 2026-03-27T00:00:00Z
Data Architect
  • Mayfield Heights, OH
  • onsite
  • Temporary / Contract
  • 0 - 0 USD / Yearly
  • <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>
  • 2026-04-24T00:00:00Z
MS Excel Mid Level Data Analyst
  • Tampa, FL
  • onsite
  • Permanent / Full Time
  • 50000 - 65000 USD / Yearly
  • We are looking for a detail-oriented Data Analyst with expertise in Microsoft Excel to join our team in Tampa, Florida. In this role, you will work with raw data, transforming it into meaningful insights and actionable reports to support organizational initiatives. The ideal candidate thrives in analyzing complex datasets and has a strong understanding of data integrity, visualization, and reporting standards.<br><br>Responsibilities:<br>• Organize, analyze, and interpret raw data using advanced Excel functionalities, including formulas, macros, and pivot tables.<br>• Consolidate and integrate data from multiple sources to build cohesive reports and dashboards.<br>• Create and deliver detailed presentations and reports tailored to various stakeholders, including executives and board members.<br>• Ensure data accuracy and consistency through regular audits and quality checks.<br>• Collaborate with team members to enhance data collection processes and implement best practices.<br>• Develop and maintain centralized data repositories for streamlined reporting.<br>• Identify trends and patterns in data to provide actionable insights for organizational improvement.<br>• Train staff on data management tools and techniques to promote consistent and efficient data handling.<br>• Monitor performance indicators to detect discrepancies and recommend corrective actions.<br>• Implement protocols to guarantee data security and compliance with organizational standards.
  • 2026-04-09T00:00:00Z
Data Automation Engineer
  • Houston, TX
  • remote
  • Temporary / Contract
  • 39 - 44 USD / Hourly
  • <p>Position Overview</p><p>We are seeking a delivery‑focused Data Automation Engineer to design and implement innovative automation solutions across a Microsoft Azure‑based data analytics platform. This role partners closely with engineering teams and stakeholders to translate business requirements into scalable data engineering and AI‑enabled solutions.</p><p>The ideal candidate is hands‑on with Azure Data Factory, Synapse Pipelines, Apache Spark, Python, and SQL, and brings experience building reliable ETL pipelines across SQL and NoSQL environments. This role emphasizes performance optimization, automation, and proactive data quality within Agile DevOps delivery models.</p><p><br></p><p>Key Responsibilities</p><p>Data Engineering &amp; Automation</p><ul><li>Develop high‑performance data pipelines using Azure Data Factory, Synapse Pipelines, Spark Notebooks, Python, and SQL.</li><li>Design ETL workflows supporting advanced analytics, reporting, and AI/ML use cases.</li><li>Implement data migration, integrity, quality, metadata, and security controls across pipelines.</li><li>Monitor, troubleshoot, and optimize pipelines for availability, scalability, and performance.</li></ul><p>Performance Testing &amp; Optimization</p><ul><li>Execute ETL performance testing and validate load performance against benchmarks.</li><li>Analyze pipeline runtime, throughput, latency, and resource utilization.</li><li>Support tuning activities (e.g., query optimization, partitioning, indexing).</li><li>Validate data completeness and consistency after high‑volume processing.</li></ul><p>Platform Collaboration &amp; DevOps Support</p><ul><li>Collaborate with DevOps and infrastructure teams to optimize compute, memory, and scaling.</li><li>Maintain versioning and configuration control across environments.</li><li>Support production, testing, development, and integration environments.</li><li>Actively participate in Agile delivery processes including Program Increment planning.</li></ul>
  • 2026-04-20T00:00:00Z
Marketing Data Analyst
  • Alexandria, VA
  • onsite
  • Temporary / Contract
  • 50 - 55 USD / Hourly
  • <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>
  • 2026-04-27T00:00:00Z
.Net/SQL Healthcare Data Analyst
  • Sarasota, FL
  • onsite
  • Permanent / Full Time
  • 70000 - 90000 USD / Yearly
  • We are looking for a skilled .Net/SQL Healthcare Data Analyst to join our team in Sarasota, Florida. This role is ideal for someone with a strong background in healthcare analytics and technical expertise in Python scripting, SQL Server, and reporting tools. The successful candidate will play a key role in analyzing data, gathering requirements, and supporting various IT functions.<br><br>Responsibilities:<br>• Analyze healthcare data to identify trends, insights, and actionable solutions.<br>• Develop and maintain SQL Server databases and ensure their optimal performance.<br>• Create and manage reports using SQL Server Reporting Services (SSRS).<br>• Collaborate with stakeholders to gather and document technical and business requirements.<br>• Write Python scripts to automate data processing and reporting tasks.<br>• Provide IT support across multiple functions, ensuring seamless operations.<br>• Work with HL7 standards to process and integrate healthcare data effectively.<br>• Conduct quality assurance checks to ensure data accuracy and reliability.<br>• Support cross-functional teams with data-driven insights and technical expertise.
  • 2026-04-22T00:00:00Z
Data Engineering Manager
  • Columbus, OH
  • remote
  • Permanent / Full Time
  • 110000 - 120000 USD / Yearly
  • We are looking for an experienced Data Engineering Manager to lead the strategic development and management of our enterprise data warehouse in Columbus, Ohio. This position combines technical expertise with leadership responsibilities to ensure data assets are efficiently structured, integrated, and utilized for operational processes, analytics, compliance, and external partnerships. The ideal candidate will drive innovation while maintaining robust data architecture standards to support the organization&#39;s long-term goals.<br><br>Responsibilities:<br>• Oversee the design, implementation, and optimization of the enterprise data warehouse and associated reporting systems.<br>• Ensure seamless data integration between source systems, analytics platforms, and reporting tools to maintain accuracy and reliability.<br>• Collaborate with various teams to align data structures and solutions with organizational objectives.<br>• Provide strategic direction for data architecture and recommend scalable solutions aligned with industry best practices.<br>• Develop and enforce standards for enterprise reporting, key performance indicators, and consistent data definitions.<br>• Promote uniformity in business rules and metric calculations across departments to ensure credible and authoritative data outputs.<br>• Review and validate data workflows, transformations, and reports to ensure completeness and accuracy.<br>• Identify and implement system improvements to enhance the functionality and efficiency of data platforms.<br>• Address and resolve issues related to data integrity or reporting disruptions, ensuring minimal downtime.<br>• Mentor team members and provide technical guidance to build a highly skilled and capable team.
  • 2026-04-22T00:00:00Z
Data Engineering Manager
  • San Antonio, TX
  • remote
  • Permanent / Full Time
  • 95000 - 115000 USD / Yearly
  • Additional Skills:<br><br>Deep hands-on expertise with dbt (Cloud or Core), including model development, testing, macros, packages, documentation, scheduling, and performance optimization.<br>Strong command of dbt project structure, materializations (including incremental models and snapshots), and integration with BI-owned metric certification and semantic layers.<br>Ability to evaluate when to leverage community dbt packages versus building custom solutions.<br>Expert-level SQL for complex analytical transformations and performance optimization.<br>Strong data modeling skills across dimensional (Kimball), Data Vault, and domain-oriented patterns, including temporal modeling, SCDs, and surrogate keys.<br>Proven judgment in balancing normalization vs. denormalization for performance, flexibility, and downstream analytics use cases.<br>Experience designing and implementing automated data quality testing and validation frameworks.<br>Familiarity with data quality tooling (e.g., Great Expectations) and core data quality dimensions across analytics workflows.<br>Familiarity with modern analytics stacks and how analytics engineering integrates with cloud data platforms, ingestion tools, dbt, and BI systems.<br>Working knowledge of DataOps practices such as version control, CI/CD, and automated testing.<br>Knowledge of K–12 education data domains and metrics, including enrollment, attendance, assessments, staffing, and multi-state reporting requirements.<br>Familiarity with education data privacy (FERPA), academic calendars, and operational rhythms.<br>Proven ability to lead technical teams, facilitate requirements and design discussions, and manage competing stakeholder priorities.<br>Strong communication and change management skills, translating technical capabilities into clear business value. <br> <br><br>Required experience:<br><br>Bachelor’s degree in Computer Science, Information Systems, Data Science, Statistics, Mathematics, or a related field, or equivalent practical experience.<br>7+ years of experience in analytics engineering, data engineering, data analytics, or closely related technical roles.<br>3+ years of experience in technical leadership or people management, leading analytics, data, or BI teams.<br>Demonstrated hands-on experience with dbt (2+ years) building and maintaining production data models and transformations.<br>Strong data modeling expertise, with a proven track record designing dimensional models, analytics data marts, or business-facing data products.<br>Expert-level SQL skills, including complex analytical queries and performance optimization<br>Experience partnering with non-technical stakeholders to gather requirements and translate them into effective technical solutions.<br> <br>Preferred Education and Experience:<br><br>Master’s degree in Data Science, Statistics, Computer Science, or a related analytical field.<br>dbt Analytics Engineering certification or equivalent demonstrated expertise<br>Hands-on experience with Snowflake or comparable cloud data warehouse platforms.<br>Experience working with K–12 education data, student information systems, or education analytics.<br>Experience building data solutions for multi-state or geographically distributed organizations.<br>Exposure to data governance practices, including business glossaries and data quality frameworks<br>Familiarity with modern data stack tools (e.g., ingestion, orchestration, BI, and data quality platforms).<br>Experience leading analytics teams using Agile or iterative delivery methodologies.
  • 2026-04-20T00:00:00Z
Data Engineer IV
  • Philadelphia, PA
  • onsite
  • Temporary / Contract
  • 55 - 65 USD / Hourly
  • <p><strong>Senior Data Engineer</strong></p><p><strong>Location:</strong> Philadelphia, PA (Hybrid/Onsite as required)</p><p><strong>Employment Type: </strong>39 Week Contract, Potential for Extension</p><p><strong>Position Overview</strong></p><p>We are seeking an experienced <strong>Data Engineer</strong> to support the development and ongoing operation of a large-scale, cloud-based IoT platform. This role focuses on building and supporting scalable, secure, and high‑performance infrastructure, tooling, and frameworks that enable engineering teams to efficiently develop, test, deploy, and operate modern microservices.</p><p>The ideal candidate brings strong cloud engineering experience, a passion for quality and security, and the ability to collaborate in a fast‑paced Agile environment.</p><p><strong>Key Responsibilities</strong></p><ul><li>Develop, operate, and support DevOps and platform engineering tools that enable cloud-based IoT services</li><li>Build and promote horizontal tools, frameworks, and best practices supporting microservices, CI/CD, security, monitoring, and performance</li><li>Collaborate with engineering teams to define development standards, workflows, and methodologies</li><li>Design and implement shared libraries and frameworks to support scalable and highly available systems</li><li>Support production platform operations, troubleshooting, and continuous improvement with focus on quality, performance, and security</li><li>Translate system architecture and product requirements into well-designed, tested software solutions</li><li>Work in an Agile environment delivering incremental, high-quality software</li><li>Provide technical guidance and promote modern engineering practices across teams</li></ul>
  • 2026-04-23T00:00:00Z
Healthcare SQL/Python Data Analyst
  • Sarasota, FL
  • onsite
  • Permanent / Full Time
  • 70000 - 90000 USD / Yearly
  • We are looking for an experienced Healthcare SQL/Python Data Analyst to join our team in Sarasota, Florida. In this role, you will play a critical part in analyzing and integrating healthcare data to support organizational goals. If you have a strong technical background and a passion for leveraging data to improve healthcare solutions, we encourage you to apply.<br><br>Responsibilities:<br>• Perform in-depth data analysis to identify trends, insights, and opportunities for improvement within healthcare datasets.<br>• Develop and maintain SQL queries and scripts to support data extraction, manipulation, and reporting needs.<br>• Utilize Python for advanced data processing, automation, and analytical tasks.<br>• Integrate and manage data from multiple sources, ensuring accuracy and consistency.<br>• Collaborate with stakeholders to gather requirements and translate them into actionable data solutions.<br>• Design and generate reports using SSRS to present findings to internal teams and leadership.<br>• Work with HL7 standards to facilitate seamless data exchange and interoperability within healthcare systems.<br>• Troubleshoot and resolve issues related to data quality, integration, and system performance.<br>• Contribute to the development of data-driven strategies to enhance operational efficiency and patient care outcomes.
  • 2026-04-01T00:00:00Z
Financial Data Entry Analyst
  • Washington, DC
  • onsite
  • Temporary / Contract
  • 23 - 23 USD / Hourly
  • <p>We are seeking a detail-oriented <strong>Financial Data Entry Analyst</strong> to join our team. In this entry-level role, you will support finance and accounting operations by accurately entering, reviewing, and maintaining financial data in internal systems and spreadsheets. This is an excellent opportunity for someone who is organized, analytical, and interested in building a career in finance or accounting.</p><p><br></p><p>Responsibilities</p><ul><li>Enter and update financial and accounting data with a high level of accuracy</li><li>Review invoices, transactions, and records for completeness and discrepancies</li><li>Maintain spreadsheets, databases, and financial reporting tools</li><li>Assist with account reconciliations and data validation</li><li>Support billing, payroll, and accounts payable/accounts receivable processes</li><li>Generate routine reports for finance and accounting teams</li><li>Communicate with internal departments to resolve data issues</li><li>Follow established procedures for confidentiality, compliance, and recordkeeping</li></ul><p><br></p>
  • 2026-04-21T00:00:00Z
AWS Data Engineer
  • Atlanta, GA
  • onsite
  • Temporary / Contract
  • 50 - 55 USD / Hourly
  • <p><strong>Position Summary:</strong></p><ul><li>We are looking for a Data Operations Engineer to support and oversee the automated data‑pipeline environment built on AWS. This position bridges data engineering and customer operations, ensuring that incoming datasets are processed accurately, consistently, and securely within established ingestion and transformation frameworks.</li><li>Key responsibilities include monitoring automated workflows, troubleshooting processing failures, validating data quality, and helping onboard new customers by aligning their data formats to a standardized internal model.</li><li>The role requires strong proficiency in SQL and Python, practical experience with AWS services, and the ability to communicate effectively with external customers when data issues arise.</li></ul><p><strong>Responsibilities:</strong></p><p><strong>Data Pipeline Monitoring &amp; Operations:</strong></p><ul><li>Monitor automated batch and streaming data pipelines in AWS</li><li>Identify, troubleshoot, and resolve data processing failures</li><li>Investigate file‑level errors, schema mismatches, and transformation issues</li><li>Perform root‑cause analysis and document resolutions</li><li>Ensure data integrity, completeness, and timeliness across environments</li><li>Escalate architectural or systemic issues to the Data Engineering team</li></ul><p><strong>Customer Data Onboarding &amp; Implementation:</strong></p><ul><li>Collaborate directly with customers to understand their file formats and data structures</li><li>Create and maintain mapping templates to align customer data to a normalized data model</li><li>Validate sample files and run tests on ingestion workflows</li><li>Configure ingestion parameters within predefined frameworks</li><li>Support customer go‑live processes and initial data processing cycles</li></ul><p><strong>Data Quality &amp; Continuous Improvement:</strong></p><ul><li>Write SQL queries to validate data accuracy and research anomalies</li><li>Develop lightweight Python scripts for validation, transformation checks, or automation tasks</li><li>Improve monitoring processes, internal documentation, and operational playbooks</li><li>Work with engineering teams to strengthen platform reliability and observability</li></ul><p><strong>Customer &amp; Cross‑Functional Collaboration:</strong></p><ul><li>Communicate clearly with customers regarding file issues or data discrepancies</li><li>Partner with internal teams including Data Engineering, Product, and Support</li><li>Provide feedback to enhance scalability, resilience, and overall platform performance</li></ul>
  • 2026-03-27T00:00:00Z
AML Business Analytics/Data Analyst
  • New York, NY
  • onsite
  • Temporary / Contract
  • 71.25 - 82.5 USD / Hourly
  • We are looking for an experienced AML Business Analytics/Data Analyst to join our team in New York, New York. This is a long-term contract position that focuses on evaluating and enhancing data processes within the financial sector. The ideal candidate will have a strong background in data analysis, transaction monitoring, and retail brokerage or wealth management products.<br><br>Responsibilities:<br>• Analyze and monitor financial transactions to identify potential compliance risks and irregularities.<br>• Develop and maintain data requirements and source mapping to support business intelligence and analytics.<br>• Conduct in-depth analysis of retail brokerage and wealth management products to improve operational efficiency.<br>• Document and implement controls to ensure adherence to compliance standards and regulations.<br>• Collaborate with cross-functional teams to draft and refine data requirements for reporting and analysis.<br>• Utilize Microsoft SQL and BusinessObjects technologies to extract and manipulate data for actionable insights.<br>• Leverage business intelligence tools to create comprehensive reports and visualizations.<br>• Apply knowledge of Erwin Data for database modeling and management.<br>• Support compliance and anti-money laundering (AML) efforts through advanced analytics.<br>• Provide insights and recommendations based on data trends and patterns.
  • 2026-04-27T00:00:00Z
Data/Information Architect
  • Portsmouth, NH
  • onsite
  • Permanent / Full Time
  • 140000 - 180000 USD / Yearly
  • <p>We are seeking a Data Architect to lead the design and evolution of data architecture. This individual will play a critical role in shaping how data is collected, stored, integrated, and consumed across the organization, supporting analytics, and reporting. The ideal candidate brings a balance of hands‑on technical depth, architectural leadership, and strong collaboration with business and technology stakeholders</p><p><br></p><p>Responsibilities</p><ul><li>Lead the design and implementation of scalable, secure, and high‑performing enterprise data architectures.</li><li>Define data architecture standards, reference architectures, and best practices across platforms.</li><li>Architect data solutions supporting analytics, BI, data science, and operational reporting.</li><li>Design and oversee data models for data warehouses, data lakes, and lakehouse architectures.</li><li>Partner with application, infrastructure, security, and analytics teams to ensure seamless data integration.</li><li>Evaluate and recommend data technologies, tools, and platforms aligned to business strategy.</li><li>Establish and enforce governance, data quality, metadata management, and lineage practices.</li><li>Provide technical leadership and mentorship to data engineers and analytics teams.</li><li>Translate business requirements into actionable data solutions for senior stakeholders.</li></ul>
  • 2026-04-01T00:00:00Z
Data/Information Architect
  • Dallas, TX
  • onsite
  • Permanent / Full Time
  • 200000 - 220000 USD / Yearly
  • We are seeking a hands-on Senior Enterprise Architect in Artificial Intelligence (AI) to join our global Enterprise Architecture team. This role blends deep technical expertise with architectural design and practical implementation to drive AI-powered transformation initiatives.<br><br>As part of a forward-thinking global technology team, you’ll collaborate across business, data, and product functions to design and implement AI/ML solutions that enable digital products and services.<br><br>Key Responsibilities<br><br>Design and architect enterprise-scale AI/ML solutions across areas such as Machine Learning, Generative AI, Deep Learning, Virtual Assistants, and Cognitive Services (Vision/Image, Text/Language processing).<br>Develop and communicate AI roadmaps, future-state architectures, and design artifacts.<br>Rapidly prototype and build proof-of-concepts (PoCs) and MVPs for AI models and algorithms.<br>Evaluate and recommend AI/ML tools, platforms, and frameworks; conduct ROI analysis.<br>Experiment with and fine-tune LLMs, train custom models, and assess performance metrics.<br>Perform data exploration, cleansing, and feature engineering to prepare datasets for model training.<br>Guide and mentor engineering and data science teams through AI/ML solution design, deployment, and integration into enterprise workflows.<br>Continuously scan industry innovations and apply emerging AI/ML technologies to business problems.<br>What We’re Looking For<br><br>Strong technical and business acumen in creating technology-driven solutions.<br>Passion for experimenting with and adopting emerging AI/ML technologies.<br>Excellent communication and influencing skills; ability to present complex technical concepts to both technical and non-technical audiences.<br>Proven ability to balance timeliness, cost, and quality in solution design.<br>Experience leading digital transformation, target operating models, and performance improvement initiatives.<br>Qualifications<br><br>Bachelor’s degree in STEM or related field (MBA a plus).<br>5+ years in AI/ML solution architecture, prototyping, and experimentation.<br>5+ years working with AWS and/or Azure data, analytics, and AI services.<br>3+ years of experience with data science tools and frameworks.<br>Recent, hands-on experience with Generative AI, LLMs, and Agentic AI platforms.<br>Knowledge of cloud-native services (data storage, compute, networking, security).<br>Strong understanding of statistical methods, data preprocessing, and feature engineering.
  • 2026-03-27T00:00:00Z
Data Ops Specialist
  • Corvallis, OR
  • onsite
  • Temporary / Contract
  • 18.2115 - 21.087 USD / Hourly
  • <p>We are looking for a detail-oriented Data Ops Specialist in Corvallis, Oregon. This is a Contract position focused on maintaining accurate constituent information, protecting sensitive records, and helping the team manage a backlog created by recent staffing changes. The person in this role will work closely with data operations leadership to improve workflow efficiency, support project coordination, and strengthen overall data quality.</p><p><br></p><p>Responsibilities:</p><p>• Maintain and review organizational records to ensure information is complete, accurate, and aligned with established data standards.</p><p>• Enter, validate, and update constituent data across multiple record types with a strong focus on precision and consistency.</p><p>• Handle confidential and sensitive information responsibly while following data privacy and security practices.</p><p>• Build, adjust, and support no-code automation processes that improve the efficiency of recurring data tasks.</p><p>• Collaborate with data operations leadership to clarify project goals, set priorities, and support workload planning.</p><p>• Track project progress, deadlines, and deliverables using project management tools to help keep work on schedule.</p><p>• Communicate with internal stakeholders to gather requirements, address issues, and support timely resolution of data-related concerns.</p><p>• Identify opportunities to improve database structure, data processes, and system usage to strengthen operational effectiveness.</p>
  • 2026-04-27T00:00:00Z
Supply Chain Analyst
  • Jacksonville, FL
  • onsite
  • Temporary / Contract
  • 29.2885 - 33.913 USD / Hourly
  • We are looking for a Supply Chain Analyst to support critical planning, procurement, and logistics activities for an on-site team in Jacksonville, Florida. This Long-term Contract position is ideal for someone who is detail oriented and has strong analytical skills, with the ability to turn supply chain data into practical recommendations that improve inventory flow, purchasing decisions, and operational performance. The role will work closely with cross-functional partners to strengthen forecasting, production planning, and reporting across a complex supply chain environment.<br><br>Responsibilities:<br>• Analyze procurement, inventory, and logistics data to identify trends, risks, and opportunities that support more effective supply chain decisions.<br>• Build and maintain reporting dashboards in Power BI and Excel to provide clear visibility into supply, demand, and warehouse performance.<br>• Partner with planning, procurement, and operations teams to improve forecast accuracy and align material availability with business needs.<br>• Monitor inventory levels across warehouse operations and recommend actions to reduce shortages, excess stock, and fulfillment delays.<br>• Support production planning activities by evaluating demand patterns, supply constraints, and order priorities.<br>• Use SQL and other data tools to extract, validate, and interpret information from multiple sources for operational reporting.<br>• Evaluate supplier-related and purchasing data to help improve sourcing efficiency, order tracking, and cost control.<br>• Contribute to supply chain process improvements, including data support for operational changes or system-related updates when needed.
  • 2026-04-24T00:00:00Z
Supply Chain Analyst
  • Benicia, CA
  • onsite
  • Temporary to Hire
  • 26.6 - 35.5 USD / Hourly
  • <p>We are looking for a skilled Supply Chain Analyst to join our team in Benicia, California on a hybrid basis. This Contract-to-permanent position offers an opportunity to support a dynamic supply chain team in driving efficient inventory management and procurement processes. The ideal candidate will bring expertise in planning, forecasting, and supply chain operations to help meet organizational goals. </p><p><br></p><p>Responsibilities:</p><p>• Develop and manage inventory planning and forecasting processes to maintain optimal stock levels and meet customer service goals.</p><p>• Update and maintain planning tool parameters, including lead times, service levels, inventory targets, and other relevant inputs.</p><p>• Analyze historical data and supplier-specific factors to recommend adjustments to inventory levels and reorder points.</p><p>• Collaborate with Brand Management to integrate market trends, sales strategies, and brand initiatives into forecasting and procurement decisions.</p><p>• Work closely with Logistics and Operations teams to ensure the efficient and cost-effective movement of inventory.</p><p>• Provide data-driven insights and input to support the development and execution of brand strategies.</p><p>• Conduct special projects and assignments as needed to support supply chain objectives.</p>
  • 2026-04-27T00:00:00Z
Supply Chain Analyst
  • Williamsburg, VA
  • onsite
  • Temporary to Hire
  • 25.3365 - 32 USD / Hourly
  • We are looking for a Supply Chain Analyst to join a growing organization in Williamsburg, Virginia on a contract-to-permanent basis. This role will support end-to-end procurement and supply chain operations, helping ensure materials and finished goods move efficiently across the business. The ideal candidate will use data-driven insights to identify bottlenecks, strengthen planning accuracy, and improve overall operational performance.<br><br>Responsibilities:<br>• Manage the procurement cycle from requisition through purchase order creation, issuance, and follow-up with suppliers.<br>• Analyze supply chain activity to identify inefficiencies, recommend cost-saving opportunities, and improve service levels.<br>• Partner with internal teams to align purchasing decisions with inventory needs, production schedules, and customer demand.<br>• Monitor supplier performance, order status, and delivery timelines to help maintain a reliable flow of materials and products.<br>• Develop forecasting insights and planning reports that support inventory control and operational decision-making.<br>• Track key supply chain metrics and present findings that support process improvements across logistics and procurement functions.<br>• Coordinate with stakeholders to resolve supply disruptions, material shortages, and other issues affecting continuity of supply.
  • 2026-04-21T00:00:00Z
Supply Chain Analyst
  • Memphis, TN
  • onsite
  • Temporary / Contract
  • 30.4 - 35.2 USD / Hourly
  • We are looking for a detail-oriented Supply Chain Analyst to support inventory flow, asset coordination, and cross-functional supply chain activities in Memphis, Tennessee. This Long-term Contract position focuses on managing excess and owned inventory movements, maintaining accurate records, and helping teams move material into marketable status efficiently. The role works closely with asset management, operations, finance, sales, and external stakeholders to improve visibility, resolve issues, and keep inventory-related processes running smoothly.<br><br>Responsibilities:<br>• Oversee intercompany transfers of excess inventory from the parent organization, ensuring movement requests are coordinated accurately and completed on time.<br>• Partner with parent company contacts and internal asset management teams to review available inventory, evaluate potential additions, and confirm items the business wants to receive.<br>• Support inbound inventory collection and transportation activities, including import and export coordination when required, and monitor shipments through final receipt.<br>• Work with operations and records teams to confirm inventory is received promptly, documented correctly, and positioned for sale as quickly as possible.<br>• Maintain reliable tracking and reporting for off-site excess inventory, including availability, approvals, transfers, and status updates across approved storage locations.<br>• Collaborate with asset management and sales teams on aging inventory strategies and identify practical options to improve movement of on-site and off-site parent-owned stock.<br>• Prepare and manage recurring reports related to finance, consignments, and inventory performance while keeping data accurate and current.<br>• Administer scrap-related sales orders, address issues tied to scrap processing, and help ensure proceeds are processed correctly.<br>• Coordinate project activities across multiple departments, document required procedures, and contribute to process improvements that increase operational efficiency.<br>• Handle sensitive inventory, commercial, and project information with a high level of professionalism, discretion, and confidentiality.
  • 2026-04-21T00:00:00Z
HRIS Data Analyst
  • Kingston, RI
  • onsite
  • Temporary / Contract
  • 28.5 - 33 USD / Hourly
  • We are looking for a detail-oriented HRIS Data Analyst to join our team in Kingston, Rhode Island. In this long-term contract role, you will play a vital part in bridging the gap between Human Resources and Information Technology, ensuring that HR systems run efficiently and effectively. This position offers an exciting opportunity to apply your analytical expertise while contributing to data-driven decision-making and system improvements.<br><br>Responsibilities:<br>• Act as a key liaison between Human Resources and Information Technology teams to address system-related needs and challenges.<br>• Analyze and interpret HR data to provide actionable insights and support strategic decision-making processes.<br>• Perform system configurations, conduct user acceptance testing, and provide technical support to HR and Records teams.<br>• Utilize tools and techniques to identify variances, investigate discrepancies, and ensure the reliability of HR systems.<br>• Maintain the accuracy, integrity, and confidentiality of HR system data and processes.<br>• Collaborate on integration projects and resolve system-related issues effectively.<br>• Generate statistical reports and analytics to inform business strategies and HR initiatives.<br>• Provide guidance and training to HR staff and system users for optimal system utilization.<br>• Ensure compliance with organizational policies and data security standards in all HR system operations.
  • 2026-04-27T00:00:00Z
Business Intelligence (BI) Analyst
  • Daytona Beach, FL
  • onsite
  • Temporary to Hire
  • 0 - 0 USD / Yearly
  • <p>We are looking for a skilled Business Intelligence (BI) Analyst to join our team in Daytona Beach, Florida. In this Contract to permanent role, you will play a pivotal part in transforming institutional data into actionable insights by developing and maintaining Power BI reports and dashboards. </p><p><br></p><p>Responsibilities:</p><p>• Design, build, and maintain Power BI dashboards and reports addressing key institutional priorities such as enrollment, retention, workforce, academic performance, and operational metrics.</p><p>• Develop measures, calculated columns, and data models within Power BI to ensure reporting accuracy and performance while adhering to approved data definitions.</p><p>• Respond to ad hoc reporting requests submitted through the organization’s service management platform, delivering timely and well-documented outputs.</p><p>• Collaborate with the Director and institutional stakeholders to translate business questions into structured reporting requirements.</p><p>• Conduct regular quality assurance reviews of existing reports to ensure accuracy amidst changes in underlying data structures or processes.</p><p>• Support the design and maintenance of Power Query dataflows that extract and transform data from enterprise systems, such as Jenzabar, Canvas, Paycor, Navigate, and Element451.</p><p>• Write and maintain queries to extract data from source systems for reporting and dataflow development.</p><p>• Document and govern data assets, ensuring proper definitions and accessibility for institutional reporting needs.</p><p>• Assist in the development and management of pipelines that facilitate data integration into the business intelligence environment.</p>
  • 2026-04-24T00:00:00Z
Data Engineer - Python
  • Houston, TX
  • onsite
  • Permanent / Full Time
  • 110000 - 160000 USD / Yearly
  • <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>
  • 2026-04-03T00:00:00Z
Entry Level Analyst
  • Concord, CA
  • onsite
  • Temporary / Contract
  • 23.275 - 26.95 USD / Hourly
  • <p>We are looking for an Accounts Receivable Analyst to join our client on a Contract to hire basis in Contra Costa County. This role supports account analysis, billing activity, and payment application. The ideal candidate brings strong Excel skills, sound accounting knowledge, and the ability to manage high-volume financial data with accuracy and professionalism.</p><p><br></p><p>Responsibilities:</p><p>• Manage large and complex data in Microsoft Excel - using formulas </p><p>• Record incoming payments </p><p>• Prepare and issue invoices and resolve variances, shortages, or unresolved balances.</p><p>• Transfer, receive, organize, and maintain electronic files and related records </p><p>• Reconcile cash receipts against bank reporting and compile accurate totals for general ledger updates and month-end accounting support.</p><p>• Investigate outstanding receivable balances, calculate related charges such as damages or adjustments, and assemble backup for billing support.</p><p> </p>
  • 2026-04-27T00:00:00Z
Entry Level Analyst
  • Washington, DC
  • onsite
  • Temporary / Contract
  • 23 - 23 USD / Hourly
  • <p>Our client is looking an entry level analyst to work in their DC location for a long-term project</p><p>Duties include:</p><ul><li>transaction and fraud analysis</li><li>reconciliations</li></ul>
  • 2026-04-20T00:00:00Z
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