We are looking for a Data Engineer to help shape and expand a cloud-focused data environment that supports analytics, operational reporting, automation, and emerging AI use cases. Based in Brookfield, Wisconsin, this position works across technical and business teams to deliver dependable data solutions that improve access, accuracy, and usability. The role is ideal for someone who thrives on translating complex data needs into scalable engineering outcomes and values collaboration, problem-solving, and continuous improvement.<br><br>Responsibilities:<br>• Design, build, and maintain scalable data pipelines that move and transform information for analytics, reporting, and operational needs.<br>• Partner with business stakeholders, analysts, software developers, and leaders to understand data requirements and turn them into reliable engineering solutions.<br>• Develop and refine data models and platform architecture to support performance, flexibility, and long-term growth.<br>• Implement ETL processes that integrate data from multiple sources while improving consistency, completeness, and accessibility.<br>• Use Python and distributed data technologies such as Apache Spark and Hadoop to process large and complex datasets efficiently.<br>• Support streaming and event-driven data workflows using tools such as Apache Kafka where real-time data delivery is needed.<br>• Monitor data quality, troubleshoot pipeline issues, and optimize workflows to ensure dependable delivery and strong system performance.<br>• Contribute to ongoing enhancements of the data platform by identifying opportunities to improve scalability, automation, and engineering standards.
<p>Robert Half is seeking an experienced <strong>Senior Data Engineer</strong> to support a <strong>law firm based in Seattle, Washington</strong> with the continued development and modernization of its enterprise data environment. This role will focus heavily on <strong>Databricks, dimensional modeling, PySpark, and Unity Catalog</strong>, with responsibility for ingesting, transforming, and preparing data from multiple enterprise systems for reporting and analytics.</p><p> </p><p><strong>Duration:</strong> 6-month contract</p><p><strong>Location:</strong> 100% Remote – preferred to work PST or CST</p><p><strong>Pay rate: </strong>$65-$75/hour (W2)</p><p> </p><p><strong>Responsibilities</strong></p><ul><li>Design, develop, and maintain scalable data pipelines and data models within <strong>Databricks</strong>.</li><li>Build and optimize <strong>dimensional data models</strong> to support enterprise reporting and analytics.</li><li>Develop data transformation and processing workflows using <strong>PySpark</strong>.</li><li>Ingest data from enterprise source systems, including <strong>Workday, Elite/Elite 3E, and Salesforce</strong>.</li><li>Move data through the <strong>Medallion Architecture</strong>, including Bronze, Silver, and Gold layers.</li><li>Clean, normalize, transform, and prepare source data for downstream analytics and reporting.</li><li>Utilize <strong>Unity Catalog</strong> to support data governance, security, organization, and access management.</li><li>Prepare curated datasets for consumption and reporting within <strong>Power BI</strong>.</li><li>Partner with business and technical stakeholders to understand reporting needs and demonstrate data within Power BI.</li><li>Troubleshoot data connectivity and integration issues involving <strong>APIs, Postman, firewall rules, and certificates</strong>.</li><li>Ensure data pipelines and models are scalable, reliable, and aligned with data engineering best practices.</li></ul><p><br></p>
We are looking for a Data Engineer to join a Financial Services team in Plano, Texas on a contract basis with the potential for a permanent role. This role is focused on designing and delivering reliable data pipelines in a cloud-first environment, with Snowflake serving as a central platform for analytics and data consumption. The position offers a balanced mix of new development and targeted optimization, with an emphasis on improving data quality, operational visibility, and scalable processing capabilities.<br><br>Responsibilities:<br>• Design, build, and deploy end-to-end data pipelines with Snowflake as a primary data platform.<br>• Create new ingestion and transformation workflows while resolving issues affecting existing pipeline performance and reliability.<br>• Support streaming data integration using Apache Kafka to enable timely and scalable data movement.<br>• Strengthen observability across data workflows by improving monitoring, alerting, and pipeline transparency.<br>• Enhance data quality practices through validation, testing, and proactive issue identification.<br>• Modernize data architecture by reducing dependency on legacy processes and addressing technical debt.<br>• Contribute to engineering standards by applying disciplined development practices, code quality measures, and repeatable delivery methods.<br>• Help expand CI/CD and testing capabilities by promoting more consistent automation across build and release activities.<br>• Use AI-assisted development tools to accelerate coding, testing, and documentation where appropriate.
We are looking for a Data Engineer to create and enhance scalable data solutions that strengthen business intelligence capabilities across the organization. This role partners with technology leaders, software teams, delivery stakeholders, and external partners to turn business needs into reliable technical outcomes. The position is well suited to someone who thrives in an agile setting, works confidently with minimal supervision, and collaborates effectively across teams. This opportunity is based in Nashville, Tennessee.<br><br>Responsibilities:<br>• Build and refine scalable data pipelines and platform components that support reporting, analytics, and enterprise intelligence initiatives.<br>• Assess modern cloud and big data technologies, gain working knowledge of new tools quickly, and recommend practical options based on business needs.<br>• Translate technical and business requirements into clearly defined tasks, implementation plans, and measurable deliverables.<br>• Write maintainable, efficient, and high-quality code that supports stable and dependable data solutions.<br>• Review existing processes and code for gaps or performance issues, then propose and implement improvements.<br>• Adjust priorities effectively in response to evolving project demands, timelines, and stakeholder expectations.<br>• Take ownership of delivered solutions by documenting design decisions and explaining functionality to team members and partners.<br>• Contribute to additional data engineering efforts that advance organizational goals and strengthen outcomes for end users.
We are looking for an experienced Data Engineer for a permanent opportunity in Northern, Virginia. In this role, you will design reliable data solutions that support analytics and business decision-making while helping improve the overall data environment. The ideal candidate brings strong technical depth in modern data engineering practices and enjoys building scalable systems from the ground up. <br> Responsibilities: • Design, develop, and maintain robust data pipelines that collect, transform, and deliver high-quality data for reporting and analysis. • Create and optimize data models that support business intelligence, analytics, and operational use cases across the organization. • Build and manage ETL workflows using Python and related technologies to ensure efficient movement of data between systems. • Work with large-scale data processing tools such as Apache Spark and Hadoop to handle complex and high-volume datasets. • Integrate streaming and batch data sources using technologies such as Apache Kafka to support timely and reliable data availability. • Collaborate with analysts, engineers, and business stakeholders to translate data needs into scalable engineering solutions. • Improve data warehouse performance, structure, and reliability to support accurate and accessible enterprise data. • Use dbt and other modern data transformation practices to organize, test, and document datasets effectively.
We are looking for a Data Engineer to join a Contract engagement supporting people analytics and HR-focused data initiatives in Philadelphia, Pennsylvania. This role is centered on designing, building, and refining scalable data pipelines and curated data assets using Azure Databricks and Azure Data Factory. The ideal candidate will be comfortable working hands-on with complex source data, translating business needs into reliable transformations, and delivering production-ready solutions with minimal oversight.<br><br>Responsibilities:<br>• Design, build, and maintain robust ETL and ELT workflows that support HR and workforce data products.<br>• Develop scalable data transformations using Python, SQL, Spark, and Azure Databricks to prepare high-quality datasets for downstream use.<br>• Orchestrate and monitor pipeline execution through Azure Data Factory to ensure dependable and timely data delivery.<br>• Analyze existing source systems and data structures to map requirements and create efficient ingestion and transformation logic.<br>• Partner with stakeholders across HR and analytics teams to turn business questions into practical engineering solutions.<br>• Improve data quality, performance, and reliability by applying modern engineering standards, testing practices, and documentation.<br>• Support integrations across HRIS and related platforms, including contributing to interface development where needed.<br>• Create production-ready datasets that enable reporting, workforce analysis, and broader people data initiatives.
We are looking for an experienced Data Engineer to support the design and delivery of scalable data solutions within the People and HR data domain in Philadelphia, Pennsylvania. This Long-term Contract position is ideal for someone who can step into an existing environment, learn source systems quickly, and build reliable data pipelines that support reporting and business analysis. The role centers on hands-on development using Azure Databricks, Spark, and Azure Data Factory, with an emphasis on creating production-ready data assets. Experience working with HR data and workforce-related systems will be highly valuable in helping translate business needs into dependable engineering solutions.<br><br>Responsibilities:<br>• Design, build, and maintain data pipelines that ingest, transform, and prepare HR and workforce data for downstream analytics and reporting.<br>• Develop scalable data processing solutions using Azure Databricks, Python, Spark, and SQL to support production-grade data products.<br>• Orchestrate and monitor data workflows through Azure Data Factory to ensure timely, accurate, and resilient data movement.<br>• Analyze existing data sources and business requirements to create efficient transformation logic and structured datasets.<br>• Collaborate with stakeholders across technical and functional teams to align data engineering deliverables with HR reporting and operational needs.<br>• Improve data quality, performance, and reliability by applying sound ETL practices, validation checks, and optimization techniques.<br>• Support integration efforts involving HR systems and related interfaces, including work connected to evolving source platforms when needed.<br>• Contribute to documentation, technical standards, and knowledge sharing to support maintainability and long-term solution success.
<p>We are looking for a Data Engineer to turn complex healthcare, financial, and operational data into meaningful insights that guide leadership decisions. This position supports organizational performance by connecting information from clinical and business systems, building practical reporting tools, and highlighting trends that matter. Based in Milwaukee, Wisconsin, the role works closely with finance, operations, and clinical stakeholders to improve visibility, planning, and overall effectiveness. <strong><em>Local candidates to the Greater Milwaukee area with Healthcare Epic experience is desired. </em></strong></p><p><br></p><p>Responsibilities:</p><p>• Create and maintain dashboards, scorecards, and recurring reports that combine Epic data with financial and operational information from connected platforms.</p><p>• Work with leaders across finance, operations, and clinical teams to define measurable indicators and track performance in patient services, revenue activity, and resource use.</p><p>• Gather, clean, and evaluate large datasets to support forecasting, monthly business reviews, and long-range planning initiatives.</p><p>• Present findings in a clear, business-focused format so non-technical stakeholders can understand trends, risks, and opportunities.</p><p>• Collaborate with IT and data governance partners to uphold data accuracy, reporting consistency, and compliance with organizational standards.</p><p>• Identify patterns in clinical and administrative workflows and recommend improvements that increase efficiency and support better decision-making.</p><p>• Contribute to reporting automation and process enhancements that improve speed, reliability, and access to timely performance data.</p>
Position: Data Engineer<br>Location: Oskaloosa, IA / Des Moines, IA -- Onsite<br>Salary: $100,000 - $120,000 base + exceptional benefits<br><br>*** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. ***<br><br>Data Engineer<br>Shape the Future of Enterprise Analytics, AI & Data Innovation<br>Are you the type of data professional who sees a business problem and immediately starts thinking about how to model, engineer, and deliver the right solution?<br>A highly successful, technology-driven organization is seeking a Data Engineer to help build the foundation for enterprise analytics, business intelligence, governance, and next-generation AI initiatives. This is an opportunity to make a visible impact across the business while working alongside a collaborative team of data professionals who are passionate about solving complex challenges.<br>This role is ideal for someone who enjoys being hands-on, partnering with the business, and building modern data solutions that drive meaningful outcomes.<br>What You'll Do<br> • Design and develop scalable data models, semantic layers, and enterprise data solutions<br> • Build trusted data structures that support analytics, reporting, AI, and business intelligence initiatives<br> • Develop and optimize cloud-based data pipelines and integrations<br> • Improve data governance, lineage, metadata management, and observability practices<br> • Create automated data quality and validation frameworks<br> • Implement CI/CD processes and modern DataOps best practices<br> • Optimize SQL performance across warehouses, lakehouses, and reporting environments<br> • Partner with analysts and business stakeholders to transform complex problems into actionable solutions<br> • Contribute to technical standards, mentoring, documentation, and architectural best practices<br>What We're Looking For<br>Core Qualifications<br> • Strong experience with data modeling and semantic modeling<br> • Hands-on experience with Microsoft Fabric, Azure, and Power BI<br> • Advanced SQL development and performance optimization skills<br> • Experience with Git, CI/CD, and modern data engineering practices<br> • Ability to translate business requirements into scalable technical solutions<br> • Experience developing enterprise data pipelines and analytics platforms<br> • A plus if you have data governance, data warehouse, data lake and or DBT experience.<br><br>*** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 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. ***
<p>A Manufacturing/ distribution company is looking for a Data Engineer with 3 + years of experience to join a dynamic team in Oklahoma City, Oklahoma. In this role, you will play a crucial part in designing and maintaining the data infrastructure to support analytics and decision-making processes. You will be a key contributor in developing, optimizing, and maintaining the data infrastructure that supports analytics and business intelligence initiatives, and data driven decision-making using Snowflake, Matillion, and other tools. Position will be in-office to work closely with the team. You must live in the Oklahoma City area. Client is unable to sponsor. No 3rd parties please.</p><p><br></p><p>Responsibilities:</p><p><br></p><p>• Design, develop, and maintain scalable data pipelines to support data integration and real-time processing.</p><p>• Implement and manage data warehouse solutions, with a strong focus on Snowflake architecture and optimization.</p><p>• Write efficient and effective scripts and tools using Python to automate workflows and enhance data processing capabilities.</p><p>• Work with SQL Server to design, query, and optimize relational databases in support of analytics and reporting needs.</p><p>• Monitor and troubleshoot data pipelines, resolving any performance or reliability issues.</p><p>• Ensure data quality, governance, and integrity by implementing and enforcing best practices.</p>
We are looking for a Data Engineer to join our Data & Analytics team in Houston, Texas, and help strengthen the reporting foundation that supports decisions across the business. In this role, you will shape data into reliable, business-ready models, develop scalable reporting structures, and work closely with teams such as Finance and Operations to turn complex rules into clear insights. This position blends technical data engineering with analytics-focused development, offering the opportunity to improve reporting quality, maintain dependable data flows, and contribute to ongoing enhancements in our analytics environment.<br><br>Responsibilities:<br>• Develop and maintain structured data models, including staging layers, reporting tables, and dimensional designs within the Azure-based data warehouse environment.<br>• Create and support Power BI semantic models, calculated measures, security configurations, dashboards, and reports used for operational and enterprise reporting.<br>• Monitor scheduled data workflows and dataset refresh activity, investigate processing issues, and resolve failures to keep reporting available and accurate.<br>• Adjust and enhance existing ETL and orchestration processes as business needs evolve, using tools such as Azure Data Factory and related Microsoft data platforms.<br>• Collaborate with stakeholders across functions to translate reporting needs, financial logic, and operational rules into dependable analytical solutions.<br>• Produce clear technical and business documentation covering model design, metric definitions, transformation logic, and data ownership.<br>• Apply and help refine development standards for naming, modeling approach, query design, and reporting structure to improve consistency and quality.<br>• Identify opportunities to streamline current data practices, improve performance, and introduce effective tools or methods that strengthen analytics capabilities.
<p>We are looking for a Data Platform Engineer to join a 4-month contract opportunity based in Norman, Oklahoma. This role owns the storage, retention and pipeline-correctness workstream. This is data engineering, not cloud </p><p>infrastructure.</p><p><br></p><p>What they will actually do</p><p>▪ Own the storage and pipeline backlog across the ingestion and processing repositories</p><p>▪ Event ordering and bitemporal modelling: separating event time from ingestion time, deterministic replay</p><p>▪ Atomic snapshot publication with schema admission and rollback</p><p>▪ Design the historical layer on object storage so it can be queried economically and answer as-of </p><p>questions correctly — file format, partitioning, compaction, and whether the canonical layer moves </p><p>onto a managed table format</p><p>▪ Reconcile the operational database and the historical store so a point-in-time question returns one </p><p>answer rather than two</p><p>▪ Evidence immutability and retention: object-lock semantics, preventing overwrite of stored evidence, </p><p>validated recovery paths</p><p>▪ Pipeline durability: idempotent runs, completeness receipts, restore testing</p><p>▪ Support production cutover in month 4 — this seat does not roll off early</p>
We are looking for a Manager/Director level candidate to join a contract-to-permanent role based in San Antonio, Texas, to help support initiatives around Data Analytics and AI. In this role, you will partner with stakeholders across multiple business functions to uncover opportunities, shape technology-driven solutions, and guide analytics initiatives that improve decision-making. This position will play a key role in leading business intelligence efforts, with a strong focus on Power BI, data strategy, and modern cloud-enabled architectures. <br> Responsibilities: • Drive cross-functional analysis to identify business challenges, define opportunities for improvement, and recommend practical technology solutions aligned with organizational goals. • Lead the design and advancement of analytics and business intelligence capabilities, including oversight of Power BI reporting environments and semantic or tabular data models. • Collaborate with technical teams and business leaders to translate operational needs into scalable data, reporting, and application requirements. • Provide leadership across the software development lifecycle, supporting planning, solution design, delivery, testing, and ongoing enhancement activities. • Architect and integrate both on-premises and cloud-based platforms to support reporting, data access, and enterprise analytics initiatives. • Guide data warehousing strategies and SQL-based data solutions to ensure reliable, high-quality information is available for business users. • Support the implementation of cloud technologies and connected systems, including integration work involving XML and related standards such as XPath. • Mentor and coordinate development resources, helping ensure delivery standards, technical quality, and best practices are consistently followed.
Position: Data Scientist | AI & ML Analyst<br>Location: Des Moines, IA -- Hybrid<br>Salary: $80,000 - $100,000 base annual salary with exceptional benefits<br><br>*** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. ***<br><br>Data Scientist | AI & Machine Learning<br>Help Shape the Future of AI, Machine Learning & Predictive Analytics<br>Are you passionate about using data, machine learning, and advanced analytics to solve real-world business challenges?<br>We're partnering with a successful, established technology consulting organization seeking a Data Scientist | AI & Machine Learning professional to help expand its growing analytics and AI capabilities. This is an opportunity to make a visible impact, influence technical direction, and work on meaningful projects from concept to production.<br>What You'll Do<br> • Develop and enhance machine learning and predictive analytics models<br> • Improve anomaly detection and forecasting capabilities<br> • Analyze complex data using Python and SQL<br> • Evaluate model performance and recommend improvements<br> • Partner with analysts and stakeholders to solve business problems<br> • Help shape AI/ML methodologies, tools, and best practices<br>What We're Looking For<br> • Experience in Data Science, Machine Learning, Predictive Analytics, or Advanced Analytics<br> • Strong Python skills, including libraries such as Pandas, NumPy, and Scikit-Learn<br> • Strong SQL and data analysis capabilities<br> • Experience with statistical modeling, forecasting, anomaly detection, or predictive analytics<br> • Ability to communicate insights to both technical and non-technical audiences<br> • Self-directed, collaborative, and intellectually curious<br>Why This Opportunity Stands Out<br> • Help build and influence a growing AI/ML practice<br> • Work directly with leadership and key decision-makers<br> • Make an end-to-end impact on projects and outcomes<br> • Join a successful, stable organization with exceptional employee tenure<br> • Collaborative, family-oriented culture where people genuinely enjoy working together<br> • Entrepreneurial environment that rewards initiative and fresh ideas<br> • Hybrid work environment after onboarding<br> • Competitive compensation up to $100,000<br>Who Thrives Here?<br>The most successful individuals in this environment are hungry, humble, smart, and self-motivated. They enjoy wearing multiple hats, solving difficult problems, collaborating with others, and seeing the direct impact of their work.<br>If you're looking for an opportunity where your ideas matter, your contributions are visible, and your work can help shape the future of AI and analytics, we'd love to connect.<br><br><br>*** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. Also, you may contact me at 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. ***
We are looking for a Digital Marketing Analyst to support data-driven marketing decisions for a global organization based in Newark, Delaware. This Long-term Contract position will focus on turning digital performance data into practical insights that strengthen campaign outcomes, improve audience engagement, and guide smarter budget allocation. The role works closely with marketing, digital, agency, and technical partners, with primary support directed toward the Americas while also contributing to broader international initiatives. Success in this position will come from building consistent measurement practices, uncovering meaningful trends, and helping teams act on performance findings with confidence.<br><br>Responsibilities:<br>• Examine results across campaigns, website activity, audience engagement, and marketing channels to uncover patterns, gaps, and areas for improvement.<br>• Create quarterly business reviews and performance summaries that clearly connect marketing efforts to business objectives and measurable outcomes.<br>• Monitor core success metrics and comparative benchmarks across regions, channels, content, and campaigns to evaluate effectiveness over time.<br>• Turn complex datasets into practical recommendations that enhance campaign execution, strengthen user experience, and improve content and media investment decisions.<br>• Detect weak-performing initiatives early and advise on adjustments that can improve efficiency and limit unnecessary spending.<br>• Design, refine, and maintain dashboards and recurring reports that expand visibility into performance while reducing manual reporting work.<br>• Work with cross-functional stakeholders in marketing, digital, regional, and business teams to align reporting standards and measurement methods.<br>• Help scale the organization’s campaign measurement approach by encouraging consistency, documenting insights, and supporting adoption across teams and geographies.
<p>Our client is seeking a Data Migration Analyst to support a critical migration from ADP to Workday. This is a hands-on role focused on extracting, transforming, validating, and loading financial data into Workday during a large-scale system implementation. The ideal candidate will bring a strong finance background, advanced Excel skills, and experience supporting ERP or Workday data migrations.</p><p><br></p><p>Key Responsibilities</p><ul><li>Extract, clean, and transform financial data from ADP and related sources into Workday migration templates.</li><li>Perform data mapping and validation</li><li>Manipulate downloaded data to fit established migration templates for upload into Workday.</li><li>Participate in data migration testing, user acceptance testing (UAT), and issue resolution.</li><li>Identify data discrepancies, troubleshoot errors, and escalate concerns to the finance team.</li><li>Support ongoing data load activities beginning in November and continuing throughout the implementation, likely through April 2027.</li></ul>
We are looking for a Data Security Analyst to join a financial services organization in Minneapolis, Minnesota. In this role, you will help shape and uphold enterprise data governance practices, with a strong emphasis on identifying, classifying, and safeguarding unstructured information. This position combines strategic oversight with hands-on responsibility for the security technologies that support data protection and loss prevention efforts. You will work closely with security leadership and cross-functional stakeholders to strengthen compliance, reduce information risk, and improve data handling standards across the business.<br><br>Responsibilities:<br>• Lead the development and enforcement of data governance frameworks, standards, and controls that support secure information management across the organization.<br>• Oversee initiatives to discover, classify, and protect unstructured data, ensuring sensitive information is handled according to business and regulatory expectations.<br>• Administer and enhance data protection and data loss prevention solutions, including tools such as Varonis or comparable platforms.<br>• Partner with security, compliance, and business teams to assess information risk and implement practical safeguards that reduce exposure.<br>• Establish meaningful security and governance metrics, then monitor and report on performance to support ongoing improvement.<br>• Translate regulatory obligations into operational data security practices and help maintain alignment with applicable compliance requirements.<br>• Support the maintenance and optimization of security monitoring and related controls that contribute to broader enterprise data integrity and protection goals.<br>• Advise stakeholders on policy adherence, secure data usage, and governance best practices to strengthen the organization’s security posture.
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.
<p>We are seeking a <strong>Business Analyst</strong> to support business process improvements, systems analysis, and technology initiatives within a government sector environment. This role works closely with internal departments and stakeholders to gather requirements, improve workflows, support ERP processes, and ensure system solutions meet operational needs.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Analyze and interpret business requirements across departments</li><li>Collaborate with stakeholders to ensure solutions meet business and end-user needs</li><li>Lead cross-functional efforts to evaluate and implement new technology and software</li><li>Support business process improvements and information flow optimization</li><li>Maintain ERP workflows that support daily operations</li><li>Coordinate system testing, end-user reviews, and post-implementation support</li><li>Provide user training and technical guidance for new and modified applications</li><li>Create process documentation and assist with change management efforts</li><li>Work with vendors to support application products</li><li>Assist with requirements analysis, validation, and prioritization for new projects</li><li>Stay current on digital trends, software development, and business continuity best practices</li></ul><p><br></p>
We are looking for a Business Analyst to support a long-term contract engagement in Farmington, Connecticut. This role will guide requirements definition and solution design for a repair business initiative, working closely with business stakeholders and technical teams to clarify needs, surface process gaps, and translate priorities into actionable plans. The position is ideal for someone who can organize cross-functional discussions, document future-state workflows, and help move the program from design through testing and readiness activities.<br><br>Responsibilities:<br>• Lead discovery sessions with stakeholders to capture business needs, identify operational pain points, and define desired future-state processes.<br>• Translate business objectives into clear functional requirements, user stories, process flows, and formal documentation for delivery teams.<br>• Coordinate conversations across business, technical, and platform subject matter experts to align solution design decisions.<br>• Perform gap assessments between current workflows and proposed capabilities, highlighting risks, dependencies, and areas requiring clarification.<br>• Support Agile delivery practices by helping manage requirements backlogs, refining scope, and participating in sprint-related ceremonies as needed.<br>• Prepare and maintain business requirement documents and related artifacts to ensure traceability from design through validation.<br>• Plan and support testing activities, including validation of contract creation, time entry data, cost calculations, and invoicing outcomes across connected systems.<br>• Facilitate meetings, track follow-up actions, and communicate decisions, open questions, and status updates to project leadership and delivery teams.
<p>Love solving business problems with technology? We're looking for a <strong>Systems Analyst</strong> to help a growing organization get the most out of <strong>Microsoft 365</strong>, including <strong>SharePoint, Teams, OneDrive, Power BI, Power Automate, and more</strong>.</p><p><br></p><p><strong>What you'll do:</strong></p><ul><li>Improve business processes using Microsoft 365 tools</li><li>Build and support SharePoint sites, workflows, and reports</li><li>Help users work smarter (and spend less time hunting for files!)</li><li>Partner with teams to turn ideas into practical solutions</li></ul><p>If you're the person everyone calls when Teams, SharePoint, or Power BI can "probably do that," we'd love to talk. 🚀</p>
We are looking for a detail-oriented analyst to support quality oversight and speech analytics initiatives for a compliance-focused environment in Fort Washington, Pennsylvania. This Long-term Contract position will partner with business teams to turn call data into actionable insights, strengthen audit readiness, and improve monitoring programs. The role is well suited for someone who combines analytical thinking, strong communication skills, and hands-on experience with reporting tools and post-call review platforms.<br><br>Responsibilities:<br>• Design and refine speech and keyword searches that help uncover trends, exceptions, and potential compliance concerns within recorded interactions.<br>• Partner with cross-functional stakeholders to evaluate business processes, review audit selections, and recommend practical improvements based on findings.<br>• Lead conversations with managers and operational teams to clarify updates, reinforce expectations, and support adoption of revised procedures.<br>• Produce monitoring results and analytic insights that contribute to training materials and enterprise-wide education efforts.<br>• Maintain organized records and classification structures to support data accuracy, traceability, and dependable system performance.<br>• Prepare recurring and ad hoc reports, assist with workflow reviews, and document observations from quality and compliance audits.<br>• Investigate recurring issues by performing root cause analysis and identifying drivers behind underperforming categories or trends.<br>• Support internal departments with monthly audit activities, audit response coordination, and follow-up actions tied to findings.<br>• Collaborate with analysts on reporting enhancements, dashboard development, and data visualization improvements using tools such as Tableau.<br>• Provide day-to-day guidance to less experienced team members and serve as a knowledgeable resource for analytics and quality-related questions.
We are looking for a Business Analyst to support data integrity, reporting, and technology operations for programs based in San Bernardino, California. This role combines analytical work, systems support, and process improvement to help teams make informed decisions and maintain reliable business operations. The ideal candidate will be comfortable working across reporting tools, business systems, and user support needs while promoting accuracy, efficiency, and strong documentation practices.<br><br>Responsibilities:<br>• Oversee the quality and reliability of information across core business platforms, ensuring records remain accurate, complete, and consistent.<br>• Create and validate recurring and ad hoc reports used for operational oversight, leadership review, funding requirements, and compliance activities.<br>• Build dashboards and analytical resources that measure key program indicators such as referral flow, enrollment activity, placements, caseload trends, outcomes, and target performance.<br>• Review datasets for errors, unusual patterns, and reporting gaps, then partner with internal teams to resolve issues and strengthen data accuracy.<br>• Define and maintain reporting standards, data rules, control procedures, and related documentation to support consistent use of information.<br>• Manage assigned Salesforce and Smartsheet administration tasks, including user permissions, forms, workflows, automations, and reporting features.<br>• Provide day-to-day technical support for Microsoft 365, software tools, user accounts, hardware, and routine connectivity concerns.<br>• Coordinate with external IT partners on advanced troubleshooting, maintenance activities, cybersecurity matters, system testing, upgrades, and integrations.<br>• Improve operational workflows by developing automation, data checks, performance alerts, training materials, and practical recommendations for staff and leadership.
<p>We are looking for an experienced Business/Financial Analyst to support financial and operational performance in Haverhilll, Massachusetts. This role focuses on product costing, inventory analysis, and month-end activities within a manufacturing environment, while partnering closely with sourcing, warehouse, and production teams. The ideal candidate brings strong analytical judgment, communicates financial insights clearly, and helps turn complex data into practical business actions.</p><p><br></p><p>Responsibilities:</p><p>• Lead monthly cost simulation activities and annual standard cost updates with a strong focus on accuracy, timing, and issue resolution.</p><p>• Research costing exceptions and work with cross-functional partners to correct discrepancies and address underlying causes.</p><p>• Monitor cost improvement initiatives, measure their financial effect, and provide regular updates that keep stakeholders aligned on progress.</p><p>• Support inventory close processes by reconciling records, posting required entries, and analyzing differences between subledger and general ledger balances.</p><p>• Review inventory-related costs, including adjustments, scrap, and revaluation impacts, and explain notable variances.</p><p>• Prepare recurring inventory analyses covering reserves, restricted stock, goods receipts, last-time-buy materials, and month-over-month balance movements.</p><p>• Identify opportunities to reduce inventory levels through data-driven insight, and contribute to forecasting inventory values and related cost impacts.</p><p>• Perform standard cost variance analysis, record required accounting entries, and assist with audit requests tied to inventory and costing matters.</p>
<p>We are looking for a motivated Business Analyst. This Long-term Contract opportunity is well suited for an early-career candidate who can translate business needs into clear project documentation and help keep cross-functional work on track. The role offers the chance to collaborate with both internal stakeholders and technical partners while contributing to the delivery of customer-focused digital solutions.</p><p><br></p><p>Responsibilities:</p><p>• Gather and clarify business needs from stakeholders to help define priorities for eCommerce and digital product work.</p><p>• Create organized documentation such as user stories, process notes, and project materials that support accurate execution.</p><p>• Write and maintain Jira tickets with clear acceptance criteria so development teams can move work forward efficiently.</p><p>• Coordinate communication across business teams, technical resources, and external partners to keep initiatives aligned.</p><p>• Review workflows and identify gaps, risks, or process improvement opportunities that may affect project outcomes.</p><p>• Assist Agile Scrum activities by supporting backlog updates, status tracking, and follow-up on action items.</p><p>• Monitor project details and timelines to help ensure deliverables are completed according to expectations.</p><p>• Provide document review and business support for digital initiatives, including work connected to operational or platform changes when needed.</p>