<p>Robert Half is hiring! We are looking for a detail-oriented Data Analyst to join a SaaS organization. In this role, you will turn complex business and customer data into clear insights that support product, sales, marketing, and customer success decisions. You will help strengthen reporting accuracy, improve visibility into performance trends, and communicate findings in a way that guides action across both technical and non-technical teams.</p><p><br></p><p>Responsibilities:</p><p>• Gather, organize, and assess data from varied sources to maintain reliable, consistent information for analysis and reporting.</p><p>• Build and refine dashboards, recurring reports, and performance metrics that help leaders track business results.</p><p>• Examine trends in customer activity, product engagement, retention, and churn to uncover meaningful patterns and opportunities.</p><p>• Collaborate with product stakeholders to measure feature usage and evaluate the business impact of product updates and releases.</p><p>• Provide analytical support to sales and marketing teams by reviewing pipeline activity, conversion performance, acquisition costs, and campaign outcomes.</p><p>• Partner with customer success teams to identify insights that can improve client satisfaction, loyalty, and long-term retention.</p><p>• Conduct targeted analyses that address strategic questions and translate findings into practical recommendations.</p><p>• Plan and track experiments and A/B tests to inform product and marketing decisions with data-driven evidence.</p><p>• Maintain clear documentation for key metrics, reporting standards, data definitions, and analytics procedures.</p><p>• Recommend and support enhancements to data quality, reporting automation, and analytics processes while presenting insights through effective visuals and summaries.</p>
We are looking for a Data Analyst to support data-driven decision-making for healthcare operations in Philadelphia, Pennsylvania. This is a Contract position focused on transforming complex clinical and operational data into accurate, actionable insights across EHR and billing environments. The ideal candidate will work with modern cloud and database tools to improve reporting, data integrity, and integration processes in a healthcare setting.<br><br>Responsibilities:<br>• Analyze healthcare, operational, and billing data to identify trends, exceptions, and opportunities for process improvement.<br>• Build, maintain, and optimize ETL workflows that move data across source systems, databases, and analytics platforms.<br>• Use Azure Databricks, Databricks, and SQL-based tools to prepare datasets and support scalable reporting solutions.<br>• Validate data accuracy and completeness by performing audits, reconciliation activities, and ongoing quality checks.<br>• Integrate information from EHR and EMR platforms, including Epic-related systems, to support consistent downstream reporting.<br>• Partner with business and technical stakeholders to define reporting needs and translate them into practical data solutions.<br>• Create and maintain queries, datasets, and analytical outputs using Azure SQL Database, SSMS, and related technologies.<br>• Support data processing activities across cloud environments, including AWS technologies, while following healthcare data standards.<br>• Document data logic, transformation rules, and process steps to improve transparency and maintainability of analytics workflows.
<p>We are looking for a Data Analyst to support reporting, dashboard development, and business-focused data investigations for a financial services team. <strong>This long-term, remote contract position</strong> is based in San Francisco, California, and offers the opportunity to work remotely while partnering closely with stakeholders to deliver clear, timely insights. The ideal candidate brings strong analytical expertise, hands-on experience with modern BI tools, and the ability to manage priorities effectively in a fast-paced, sprint-driven environment.</p><p><br></p><p>Responsibilities:</p><p>• Create and refine recurring reports and analytical outputs that help business partners make informed decisions.</p><p>• Develop, update, and enhance dashboard solutions in Looker to meet evolving stakeholder needs.</p><p>• Investigate data questions and resolve reporting issues related to business operations and client-focused requests.</p><p>• Manage assigned work within a sprint-based workflow, handling incoming tickets and adjusting priorities as needed.</p><p>• Collaborate with cross-functional stakeholders to gather requirements, confirm scope, and communicate delivery timelines.</p><p>• Provide ongoing analytics support through BI and reporting platforms, translating data into actionable insights.</p><p>• Maintain a balanced workload between stakeholder coordination and hands-on analysis, ensuring both communication and execution remain strong.</p>
<p>We are looking for a Data Analyst to join a contract assignment. This role will focus on strengthening reporting reliability, developing scalable analytics solutions, and improving the way business data is modeled and delivered. The ideal candidate brings deep expertise in Power BI, semantic modeling, and data flow design within modern data warehousing environments, including Microsoft Fabric. This is a Contract position with an initial duration of 2-3 months and the potential for longer-term opportunity.</p><p><br></p><p>Responsibilities:</p><p>• Build, refine, and maintain Power BI reporting solutions that support accurate and consistent business insights.</p><p>• Design and manage semantic models that improve report performance, usability, and governance.</p><p>• Develop and optimize data flows that connect warehouse data to reporting layers in a dependable and scalable manner.</p><p>• Investigate and resolve failures affecting existing reports, including issues tied to account ownership, refresh behavior, and synchronization.</p><p>• Partner with stakeholders to understand reporting needs and translate business questions into effective dashboards and analytics outputs.</p><p>• Apply Microsoft Fabric capabilities where appropriate to strengthen data integration and reporting architecture.</p><p>• Review existing analytics assets and recommend improvements that increase stability, maintainability, and overall data quality.</p>
<p>Robert Half Management Resources is looking for an experienced Business Analytics/Data Analyst to support one of our clients on interim basis. This long-term contract position focuses on analyzing, transforming, and validating complex financial and operational data to help ensure accurate loading into a Workday environment. The role is ideal for someone who combines strong General Ledger knowledge with advanced Microsoft Fabric and Power BI capabilities. You will work alongside project, finance, and systems teams to improve data quality, strengthen reconciliation processes, and deliver actionable reporting throughout the engagement.</p><p><br></p><p><u>Responsibilities:</u></p><p>• Lead data preparation, transformation, and validation activities across multiple legacy financial and operational source systems for Workday-related data loads.</p><p>• Examine General Ledger data, chart of accounts relationships, and transaction-level records to confirm accuracy, completeness, and alignment with target structures.</p><p>• Design, enhance, and maintain Microsoft Fabric pipelines, staging layers, and data models that support large-scale enterprise analytics and migration work.</p><p>• Create Power BI dashboards and reconciliation reporting that provide visibility into data quality, exception tracking, migration status, and balancing results.</p><p>• Partner with finance stakeholders, functional leads, and subject matter experts to investigate discrepancies, clarify mapping rules, and resolve data issues.</p><p>• Perform detailed analysis of high-volume, multi-source datasets to identify anomalies, trends, and risks that could affect migration outcomes.</p><p>• Support testing, cutover readiness, and post-load verification activities by monitoring results and confirming that loaded data meets business expectations.</p>
We are looking for a Business Analytics/Data Analyst to support data-driven decision-making for a leading organization in the drink and beverages industry in Rutherford, New Jersey. This Long-term Contract position focuses on transforming complex data into meaningful business insights through reporting, analysis, and business intelligence solutions. The role is ideal for someone who is detail oriented and can work across datasets, identify trends, and help stakeholders make informed operational and strategic decisions.<br><br>Responsibilities:<br>• Develop and maintain analytical reports, dashboards, and recurring data outputs that support business planning and performance tracking.<br>• Examine large data sets to identify patterns, exceptions, and actionable findings that guide business decisions.<br>• Write and optimize Microsoft SQL queries to extract, validate, and organize data from multiple sources.<br>• Partner with business teams to understand reporting needs and translate them into effective business intelligence solutions.<br>• Use BusinessObjects tools to create and enhance reporting assets that improve visibility into key metrics.<br>• Support data modeling and documentation efforts using Erwin Data tools to strengthen data structure and governance.<br>• Perform data quality reviews to ensure reporting accuracy, consistency, and reliability across deliverables.<br>• Present analytical findings in a clear, business-focused manner to stakeholders and cross-functional teams.
<p>Robert Half Management Resources is looking for a Business Analytics/Data Analyst to support one of our clients on an interim basis. This role will contribute to Workday supply chain and procurement efforts by improving data quality, validating converted records, and resolving issues that affect system readiness. The position works closely with project stakeholders to ensure legacy information is accurately prepared, tested, and aligned with business rules in the target environment.</p><p><br></p><p><u>Responsibilities:</u></p><p>• Prepare, map, and transform legacy supply chain and procurement data for upload into Workday using approved conversion tools and templates.</p><p>• Perform detailed comparisons between source records and Workday data to confirm completeness, accuracy, and adherence to defined business rules.</p><p>• Investigate conversion failures and data-related defects, identify root causes, and coordinate fixes for issues affecting inventory, suppliers, requisitions, and purchasing records.</p><p>• Partner with functional leads, analysts, and implementation team members to address data discrepancies and keep conversion activities moving on schedule.</p><p>• Support unit, integration, and broader testing cycles by building reliable data sets and confirming converted information performs correctly in test environments.</p><p>• Use Excel, SQL, and related analysis tools to cleanse, reconcile, and organize large datasets for migration and validation activities.</p><p>• Track issues in project management or defect logging tools and provide clear updates on status, findings, and resolution progress.</p>
We are looking for a senior-level Data Engineer to shape and deliver a scalable data platform in Kalamazoo, Michigan. This role combines strategic architecture with hands-on engineering, creating reliable data products that support reporting, advanced analytics, and AI-driven solutions. The ideal candidate will build secure, multi-tenant data capabilities with strong attention to privacy, governance, and long-term platform quality.<br><br>Responsibilities:<br>• Lead the design of a modern data platform that supports ingestion, transformation, storage, and consumption across analytical and operational use cases.<br>• Build and maintain robust batch and streaming pipelines that move data from relational systems, object storage, document databases, and event sources into centralized platforms.<br>• Define data architecture standards, modeling approaches, and engineering practices that improve consistency, reliability, and scalability across the organization.<br>• Create multi-tenant data solutions with strong isolation controls, secure access patterns, and governance measures built into the platform design.<br>• Develop data models and serving layers that enable enterprise reporting, self-service analytics, and AI or machine learning workloads.<br>• Evaluate cloud-based data services, processing frameworks, and warehouse technologies to ensure the platform meets performance, cost, and security expectations.<br>• Partner with product, engineering, and leadership teams to explain technical decisions, highlight risks, and align platform investments with business priorities.<br>• Oversee external vendors and implementation partners by reviewing recommendations, challenging misaligned approaches, and enforcing internal data standards.
<p><strong>Data Engineer</strong></p><p><strong>Location: <u>100% REMOTE BUT MUST BE ABLE TO INTERVIEW ONSITE IN PHILADELPHIA, PA</u></strong></p><p><strong>Duration: Through 12/31/2026, extensions likely</strong></p><p><br></p><p>This is a senior-level Data Engineer opportunity supporting enterprise modernization and cloud migration initiatives within a large-scale Agile environment. The role focuses on designing and building modern data pipelines, enhancing legacy data platforms, and developing scalable data assets that support analytics and reporting. The ideal candidate is a hands-on Data Engineer with deep expertise in Databricks, PySpark, Python, and AWS services, and experience working within cloud-based data ecosystems undergoing transformation.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Design, develop, and maintain scalable data engineering solutions using Databricks, Python, PySpark, and AWS.</li><li>Build, optimize, and support ETL processes and data pipelines for inventory, supply, and yield data initiatives.</li><li>Develop and maintain data assets that support enterprise analytics and Tableau reporting environments.</li><li>Support cloud migration and modernization efforts by transforming legacy data platforms into modern cloud-based solutions.</li><li>Enhance and maintain existing data engineering workflows while delivering new data pipeline capabilities.</li><li>Collaborate with cross-functional teams, including engineering, analytics, and business stakeholders, within an Agile Release Train (ART) environment.</li><li>Contribute to reducing technical debt through modernization of legacy data systems.</li><li>Implement scalable and reliable data processing solutions leveraging AWS services and cloud-native technologies.</li></ul><p><br></p>
We are looking for a Business Analyst to join a contract opportunity with permanent potential in Columbus, Ohio. This position supports Agile technology initiatives by translating business needs into clear functional direction while helping teams stay organized and delivery-focused. The role works closely with stakeholders and technical partners to shape requirements, guide sprint execution, and keep work aligned with business priorities.<br><br>Responsibilities:<br>• Translate stakeholder goals into well-defined business and functional requirements that support solution design and delivery.<br>• Lead Agile team events such as sprint planning sessions, daily check-ins, reviews, and retrospectives to promote steady progress.<br>• Develop user stories, acceptance criteria, workflow diagrams, and supporting documentation that give teams clear implementation guidance.<br>• Collaborate across business units, developers, quality assurance teams, and project leadership to move initiatives forward effectively.<br>• Maintain and refine the product backlog, ensuring priorities reflect business value and current project needs.<br>• Surface delivery risks, help resolve team blockers, and recommend improvements that strengthen team processes over time.<br>• Monitor project activity and provide timely updates so stakeholders remain informed on progress, issues, and next steps.
We are looking for an experienced Business Analyst to support enterprise process improvement initiatives in Newport Beach, California. This role will work closely with operational leaders and technology teams to shape effective solutions using Microsoft Dynamics 365 Customer Engagement and the Power Platform. The position focuses on translating business goals into practical system capabilities, improving workflows, and driving measurable results across customer-facing functions.<br><br>Responsibilities:<br>• Partner with business leaders and technical teams to gather, clarify, and prioritize functional needs for Microsoft Dynamics 365 Customer Engagement initiatives.<br>• Analyze current workflows, identify process gaps, and recommend scalable improvements that increase efficiency across sales, service, and field operations.<br>• Convert business objectives into detailed requirements, user stories, process maps, and supporting documentation for delivery teams.<br>• Collaborate with developers, architects, and project stakeholders to design and refine solutions built on Dynamics 365 and Power Platform tools.<br>• Support implementation efforts by validating configurations, coordinating user acceptance testing, and ensuring solutions align with operational expectations.<br>• Help establish adoption strategies, usage standards, and governance practices that promote consistent and effective platform utilization.<br>• Facilitate communication between technical and non-technical stakeholders to keep projects aligned, informed, and moving forward.<br>• Monitor solution performance after deployment, gather feedback from users, and drive ongoing enhancements based on business value.<br>• Contribute to integration planning for Dynamics 365 with Microsoft applications, Azure services, or external systems when required.
We are looking for a Business Analyst to support a long-term contract opportunity based in Farmington, Connecticut. This role will focus on analyzing business needs, refining operational processes, and helping deliver effective solutions in a structured environment. The ideal candidate brings strong analytical thinking, experience working with cross-functional teams, and the ability to translate complex requirements into clear documentation and actionable outcomes.<br><br>Responsibilities:<br>• Analyze business workflows and identify opportunities to improve efficiency, accuracy, and service delivery across key operations.<br>• Gather, document, and validate business requirements by partnering with stakeholders, subject matter experts, and project teams.<br>• Support configuration-related activities to align system functionality with business needs and documented process requirements.<br>• Perform gap assessments to compare current processes with target-state needs and recommend practical solutions.<br>• Contribute to initiatives involving ADPEV5, pay frequency harmonization, and bridge loan processes by documenting impacts, dependencies, and business rules.<br>• Participate in Agile Scrum ceremonies, track action items, and help ensure requirements are clearly understood throughout the project lifecycle.<br>• Review operational and business documents for completeness, consistency, and alignment with project objectives and compliance expectations.<br>• Collaborate with customer service and call center teams to evaluate process pain points and improve user and customer experiences.
<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>
<p>We are looking for an experienced Digital Marketing Analyst to support high-impact marketing analytics and marketing technology efforts within the insurance industry. This Long-term Contract position that is remote with monthly travel to Michigan, will work closely with senior leaders, technical teams, and business partners to turn strategic priorities into measurable results. The ideal candidate brings strong expertise in analytics, digital marketing, and enterprise program leadership, with the ability to guide complex initiatives across data, technology, and marketing functions.</p><p><br></p><p>Responsibilities:</p><p>• Direct large-scale marketing analytics and marketing technology programs that support enterprise goals and measurable business performance.</p><p>• Convert organizational objectives into practical roadmaps, aligning deliverables, priorities, and execution across multiple teams.</p><p>• Oversee project governance, milestone tracking, issue resolution, and risk management to keep initiatives moving forward effectively.</p><p>• Coordinate collaboration among marketing, information technology, analytics, data science, and business stakeholders to ensure consistent progress.</p><p>• Evaluate analytical models, reporting outputs, and technical work produced in platforms such as Python to maintain quality and business relevance.</p><p>• Guide audience segmentation, test design, attribution analysis, and campaign measurement to improve marketing effectiveness.</p><p>• Support modernization efforts within the marketing technology ecosystem, including Adobe platform-related implementations and enhancements.</p><p>• Work with external partners, agencies, and technology providers to maintain alignment on scope, execution, and outcomes.</p><p>• Deliver clear updates, insights, and strategic recommendations to executive leadership and other senior stakeholders.</p><p><br></p><ul><li><strong>Must-Haves:</strong> Enterprise Marketing Analytics leadership, MarTech transformation, cross-functional program management, executive communication, Adobe ecosystem, data science oversight. Nice-to-Haves: Insurance, financial services, regulated industries, Salesforce, Databricks, Power BI, AWS, SageMaker.</li><li><strong>Tech Stack:</strong> Adobe Campaign, Adobe CRM, Adobe Workfront, SQL, Python, R, Databricks, Salesforce, Power BI, AWS, SageMaker, MarTech ecosystems, predictive modeling, MLOps. Non-negotiable: Senior enterprise leadership experience driving Marketing Analytics and MarTech initiatives.</li></ul><p><br></p>
<p>We are looking for an experienced Digital Marketing Analyst to support high-impact marketing analytics and marketing technology efforts within the insurance industry. This Long-term Contract position that is remote with monthly travel to Michigan, will work closely with senior leaders, technical teams, and business partners to turn strategic priorities into measurable results. The ideal candidate brings strong expertise in analytics, digital marketing, and enterprise program leadership, with the ability to guide complex initiatives across data, technology, and marketing functions.</p><p><br></p><p>Responsibilities:</p><p>• Direct large-scale marketing analytics and marketing technology programs that support enterprise goals and measurable business performance.</p><p>• Convert organizational objectives into practical roadmaps, aligning deliverables, priorities, and execution across multiple teams.</p><p>• Oversee project governance, milestone tracking, issue resolution, and risk management to keep initiatives moving forward effectively.</p><p>• Coordinate collaboration among marketing, information technology, analytics, data science, and business stakeholders to ensure consistent progress.</p><p>• Evaluate analytical models, reporting outputs, and technical work produced in platforms such as Python to maintain quality and business relevance.</p><p>• Guide audience segmentation, test design, attribution analysis, and campaign measurement to improve marketing effectiveness.</p><p>• Support modernization efforts within the marketing technology ecosystem, including Adobe platform-related implementations and enhancements.</p><p>• Work with external partners, agencies, and technology providers to maintain alignment on scope, execution, and outcomes.</p><p>• Deliver clear updates, insights, and strategic recommendations to executive leadership and other senior stakeholders.</p><p><br></p><ul><li><strong>Must-Haves:</strong> Enterprise Marketing Analytics leadership, MarTech transformation, cross-functional program management, executive communication, Adobe ecosystem, data science oversight. Nice-to-Haves: Insurance, financial services, regulated industries, Salesforce, Databricks, Power BI, AWS, SageMaker.</li><li><strong>Tech Stack:</strong> Adobe Campaign, Adobe CRM, Adobe Workfront, SQL, Python, R, Databricks, Salesforce, Power BI, AWS, SageMaker, MarTech ecosystems, predictive modeling, MLOps. Non-negotiable: Senior enterprise leadership experience driving Marketing Analytics and MarTech initiatives.</li></ul><p><br></p>
<p>We are looking for a Financial Analyst to join a finance transformation team supporting revenue and royalty operations for an entertainment company that has recently gone through a merger. This long-term contract position is expected to run for a minimum of six months, with potential for extension, and will focus on improving financial workflows, strengthening reporting consistency, and enhancing operational efficiency. The ideal candidate brings strong analytical ability, advanced Excel expertise, and hands-on experience working with complex financial data in a fast-paced environment. Previous experience with royalties is a plus.</p><p><br></p><p><strong><u>Responsibilities:</u></strong></p><p>• Lead efforts to standardize cash reporting data received from multiple partners so information can be reviewed and processed more consistently.</p><p>• Analyze existing revenue and royalty procedures, uncover inefficiencies, and help implement more effective operating methods across related functions.</p><p>• Assist with finance system implementation activities by supporting data mapping, testing, validation, and reconciliation between prior and newly introduced platforms.</p><p>• Create and maintain clear process guides, standard operating procedures, and training resources that improve knowledge sharing and support scalable operations.</p><p>• Review cash reporting and royalty expense activities to identify opportunities for better accuracy, productivity, and overall process performance.</p><p>• Partner with internal stakeholders to help establish control measures and approval workflows tied to contract setup and royalty calculations.</p><p>• Prepare and organize customer revenue data, assign transactions to the correct internal titles and licensor agreements, and investigate reporting variances.</p><p>• Compile transaction details and related expenses for royalty statement preparation, then generate statements in accordance with contractual payment terms.</p><p>• Respond to royalty audit requests by gathering supporting records and delivering documentation in a timely manner.</p>
<p>Robert Half, one of FORTUNE’s World’s Most Admired Companies and a Fortune 100 Best Companies to Work For is hiring for a Data Engineer III to join the ATI Data Science Innovation department.</p><p><br></p><p>Solution Design & Technical Leadership</p><ul><li>Lead architecture and design of complex data pipelines on Databricks lakehouse architecture (Unity Catalog, Delta Lake, Structured Streaming)</li><li>Define technical approach for data engineering initiatives, mentor less-senior engineers, and set standards for code quality through leadership and code reviews</li><li>Design and build data foundations that enable AI/ML capabilities — feature stores, embedding pipelines, vector search indexes, and model training datasets</li><li>Align data engineering solutions with business strategy, including support for Agentic AI workloads</li></ul><p>Data Infrastructure & Platform</p><ul><li>Own health, scalability, and modernization of data infrastructure with Databricks as the strategic platform — including workload migration, compute optimization, and Unity Catalog adoption</li><li>Optimize pipeline performance (Delta Lake table layouts, clustering, Z-ordering) and establish monitoring/alerting best practices with clear SLAs</li><li>Build data infrastructure supporting Agentic AI systems — real-time data access layers, context retrieval pipelines, and agent-accessible data services</li><li>Collaborate cross-functionally with DevOps, Platform Engineering, and MLOps roles to integrate data solutions into the broader technology environment and shared AI infratstructure – Mlflow registries, feature stores, and agent orchestration layers</li><li>Provide consultation to Senior Leadership on complex projects and drive continuous improvement initiatives</li></ul><p>Data Quality, Governance & Collaboration</p><ul><li>Champion data governance at all layers for data, models, and AI assets</li><li>Implement data quality strategies (master data management, validation rules, Delta Live Tables expectations) to ensure trust in enterprise data</li><li>Serve as liaison across data engineering, AI engineering, and business teams; promote data literacy and stewardship</li></ul><p><br></p>
<p><strong>Security Analyst</strong></p><p><br></p><p><strong>Company Overview</strong></p><p>A leading advanced manufacturing and engineering organization is seeking a Security Analyst to help strengthen and mature its enterprise cybersecurity program. The company supports a diverse portfolio of highly regulated and innovation-driven industries, delivering complex solutions across manufacturing, engineering, technology, and industrial operations. The organization is committed to operational excellence, security, and continuous improvement while fostering a collaborative and growth-oriented culture.</p><p><br></p><p><strong>Role Summary</strong></p><p>The Security Analyst will play a critical role in protecting enterprise systems, data, and infrastructure from evolving cyber threats. This position is responsible for monitoring, managing, and enhancing Microsoft security technologies while leading incident detection, response, threat hunting, and vulnerability management efforts. The role offers the opportunity to have a direct impact on the organization's security posture while collaborating with technical and business teams across the enterprise.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Monitor security alerts, logs, dashboards, and telemetry across Microsoft security platforms to identify and respond to potential threats.</li><li>Manage, configure, and optimize Microsoft Defender security controls across enterprise environments.</li><li>Administer and enhance data protection and compliance capabilities using Microsoft Purview, including Data Loss Prevention (DLP) and eDiscovery solutions.</li><li>Develop, tune, and maintain custom detection rules, analytics, and alerting mechanisms to improve threat visibility.</li><li>Serve as a primary responder for cybersecurity incidents involving malware, ransomware, endpoint compromises, and related threats.</li><li>Conduct forensic investigations, root cause analyses, and post-incident reviews to strengthen security controls and reduce future risk.</li><li>Perform proactive threat hunting activities utilizing Microsoft Defender XDR and other security monitoring tools.</li><li>Analyze threat intelligence and emerging attack trends to identify risks relevant to the organization.</li><li>Track, prioritize, and support remediation efforts for software vulnerabilities and security weaknesses.</li><li>Collaborate with IT and business stakeholders to implement security best practices, hardening standards, and risk reduction initiatives.</li><li>Prepare reports and metrics related to incident response, platform effectiveness, vulnerabilities, and overall security posture.</li><li>Support cybersecurity awareness initiatives and help promote a culture of security across the organization.</li></ul><p><strong>Additional Details</strong></p><ul><li>Work model: Primarily remote with occasional in-person collaboration as needed</li><li>Up to 10% domestic travel may be required</li><li>Opportunity to contribute directly to security strategy, operations, and continuous improvement initiatives</li></ul>
<p><strong>Business Systems Analyst (QAD ERP)</strong></p><p><strong>Location</strong>: Remote - Atlanta GA</p><p><strong>Travel</strong>: Minimal (1-2 trips per year, as business needs require)</p><p><strong>must be eligible to work in the U.S.-</strong> <strong>This position does not offer sponsorship or C2C now or in the future.</strong></p><p><br></p><p><strong>About the Opportunity</strong></p><p>Our client is seeking an experienced Business Systems Analyst to support and enhance enterprise business systems across multiple manufacturing locations. This individual will play a key role in supporting the organization's ERP environment, driving continuous process improvements, and partnering with business stakeholders to optimize technology solutions.</p><p>The ideal candidate has deep experience with QAD ERP, enjoys working cross-functionally with business users, and is passionate about improving business processes through technology.</p><p><br></p><p><strong>What We're Looking For</strong></p><p>The ideal candidate is someone who:</p><ul><li>Has extensive experience working with QAD ERP.</li><li>Enjoys partnering with business users to solve operational challenges.</li><li>Can translate business needs into technology solutions.</li><li>Thrives in a collaborative environment.</li><li>Is proactive, organized, and customer-focused.</li><li>Takes ownership of projects and drives continuous improvement initiatives.</li></ul>
<p>We are seeking a <strong>hands-on Senior Business Systems Analyst</strong> to support a high-impact enterprise systems initiative centered on <strong>Concur deployment and optimization</strong>, with integration touchpoints across NetSuite ERP and ADP. This is a fully remote, temporary opportunity with strong potential to convert to a contract-to-hire role.</p><p><br></p><p>This position is ideal for a systems professional who thrives in a lean environment, can work independently, and is comfortable owning the full lifecycle of business systems work—from discovery and process mapping through configuration, testing, documentation, training, and go-live support. This is not a pure project management or oversight role; we are looking for someone who is willing to roll up their sleeves and execute.</p><p><br></p><p>Key Responsibilities</p><ul><li>Lead business systems analysis for the Concur deployment, including requirements gathering, current-state and future-state process mapping, and configuration validation against business requirements</li><li>Own the overall test strategy and execution, including test plans, test scripts, UAT coordination, defect tracking and triage, and regression testing through go-live</li><li>Produce and maintain critical project and operational documentation</li><li>Support integration testing between Concur and NetSuite, as well ADP</li><li>Partner closely with IT and Finance stakeholders to translate business requirements into system configuration and validated test coverage</li><li>Perform hands-on configuration work directly within supported systems</li><li>Drive change management activities, including stakeholder support and end-user training</li><li>Ensure systems and changes align with compliance, audit, and control requirements, including SOX-related considerations</li></ul>
We are looking for an experienced HRIS Analyst to support compensation-related data and system activities for a global organization in Coppell, Texas. This Contract position is ideal for someone who is highly analytical, comfortable working with large HR datasets, and confident navigating Workday and advanced Excel-based processes. The role will focus on improving data quality, supporting compensation configuration activities, and helping cross-functional teams maintain accurate employee and job information.<br><br>Responsibilities:<br>• Lead data preparation and validation efforts tied to Workday compensation configuration updates, including support for testing and file readiness.<br>• Match employee records to the appropriate job framework to ensure correct classification, pay grade placement, and compensation alignment.<br>• Organize and reconcile compensation elements such as salary ranges, bands, grades, allowances, and local incentive components at the employee level.<br>• Use advanced Excel techniques and Microsoft Copilot to analyze source data, standardize file structures, and resolve issues that affect successful system uploads.<br>• Cleanse, transform, and manage large volumes of HR and compensation information while preserving accuracy, consistency, and auditability.<br>• Investigate and troubleshoot data load exceptions, identifying root causes and correcting discrepancies before final processing.<br>• Collaborate with HR, payroll, finance, and total rewards stakeholders to ensure dependable data outputs and coordinated execution.<br>• Apply knowledge of compensation practices and compliance considerations, including local requirements and workforce-related rules, when reviewing and preparing data.
We are looking for a Web Analytics Specialist to support digital measurement and insight generation for a healthcare-focused organization in Philadelphia, Pennsylvania. This Long-term Contract role is ideal for a mid-level analyst who combines strong technical capabilities with sharp business judgment, turning complex web data into clear recommendations for cross-functional partners. The person in this position will help shape how marketing, campaign, and paid media performance are measured while contributing to a collaborative, insight-driven team environment.<br><br>Responsibilities:<br>• Design, update, and optimize Power BI dashboards that give stakeholders clear visibility into website, campaign, and funnel performance.<br>• Analyze digital behavior and marketing results to uncover trends, explain performance shifts, and translate findings into practical recommendations.<br>• Develop meaningful measurement frameworks and introduce new KPIs that improve how online engagement and conversion activity are evaluated.<br>• Use website analytics data to answer detailed business questions, including page-level interaction patterns and audience engagement across digital properties.<br>• Work closely with marketing, web, data, and engineering partners to align reporting needs, improve data usability, and support informed decision-making.<br>• Oversee recurring performance reporting while also responding to ad hoc analytical requests tied to evolving business priorities.<br>• Manage multiple stakeholder needs at once, ensuring deadlines are met without losing focus on quality or strategic value.<br>• Query and interpret data within Databricks and collaborate with engineering teams on data accessibility, structure, and analytics readiness.<br>• Support analytics tagging and tracking initiatives through tools such as Tealium and contribute to reporting environments connected to layered data models, including Silver and Gold data assets.
We are looking for a highly experienced Database Developer to support a healthcare research organization on a short-term Contract assignment based in Boston, Massachusetts. This role is focused on hands-on PostgreSQL development and is best suited for an experienced specialist who brings deep database expertise rather than generalist application experience. The engagement will contribute to an active project and requires someone who can deliver quickly in a fully remote environment.<br><br>Responsibilities:<br>• Design, build, and refine PostgreSQL database solutions that support project goals within a healthcare-focused research setting.<br>• Create and optimize database queries, stored objects, and related structures to improve reliability, efficiency, and overall performance.<br>• Evaluate existing database environments and recommend practical enhancements for scalability, monitoring, and day-to-day operations.<br>• Support database administration activities, including performance tuning, mirroring considerations, and operational stability across cloud or hosted platforms.<br>• Partner with project stakeholders to translate technical needs into effective database designs and development deliverables.<br>• Contribute to database migration or environment change efforts when needed as part of the active project scope.<br>• Use tools such as pgAdmin and related PostgreSQL utilities to troubleshoot issues, manage objects, and maintain database health.
<p>We are looking for a Database Engineer to support the design, migration, and optimization of cloud-based data platforms. This role focuses on building reliable database solutions for large and complex datasets while enabling efficient delivery of information to applications, analytics tools, and other downstream consumers. The ideal candidate brings strong hands-on experience with cloud database technologies, Python development, and modern data engineering practices, along with the ability to contribute practical architectural insight.</p><p><br></p><p>Responsibilities:</p><p>• Lead the migration of database workloads to cloud-based environments, with particular emphasis on DynamoDB and DocumentDB implementations.</p><p>• Design, build, and maintain scalable data pipelines that process high-volume datasets and deliver dependable data to downstream services and presentation layers.</p><p>• Develop and optimize Python-based solutions to support database operations, automation, and data movement across distributed systems.</p><p>• Create and maintain database structures and access patterns for NoSQL and in-memory platforms, including Redis and related AI or vector-driven data use cases.</p><p>• Partner with engineering teams to define practical database architecture decisions and translate technical requirements into effective cloud implementations.</p><p>• Support search and retrieval capabilities by working with Solr and other data access technologies used across the environment.</p><p>• Implement scripting and automation tasks using shell scripting where needed to streamline deployment, maintenance, and operational workflows.</p><p>• Evaluate and integrate technologies such as ElastiCache, MemoryDB, MongoDB, and vector databases to meet performance, scalability, and application need.</p>
<p>We are looking for a Power BI Analyst to join a healthcare organization in San Francisco, California on a contract basis. In this role, you will turn operational and business data into clear, reliable reporting tools that support decision-making across the organization. The position is well suited for someone who combines business analysis expertise with strong Power BI development skills and a careful approach to data accuracy, documentation, and process improvement.</p><p><br></p><p>Responsibilities:</p><p>• Build and maintain Power BI datasets, dataflows, semantic layers, and related reporting structures that support ongoing analytical and operational needs.</p><p>• Produce scheduled reports for business stakeholders, ensure timely distribution, and investigate reporting issues or data discrepancies when they arise.</p><p>• Partner with BI leadership on project-based analysis and ad hoc requests by creating reporting solutions, validating output, documenting methods, and testing updates.</p><p>• Create, publish, and enhance dashboards and reports in Power BI while following established request intake, prioritization, and change control practices.</p><p>• Oversee report refresh activities, monitor dashboard performance, and resolve data or processing issues to keep business intelligence products dependable.</p><p>• Carry out quality review procedures for new and existing reports to confirm that results are accurate, consistent, and aligned with business expectations before release.</p><p>• Improve report efficiency and scalability through data model refinement, query optimization, and targeted enhancements to the reporting environment.</p><p>• Maintain clear business and technical documentation, including metric definitions, report specifications, and supporting reference materials based on team standards.</p><p>• Reconcile and validate data across multiple source systems to strengthen confidence in reporting outputs and support data warehouse improvement efforts through testing and implementation assistance</p>