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.
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>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>
<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>
<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 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 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>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 Analyst to support revenue cycle performance through thoughtful reporting, data interpretation, and visual analytics in Westerville, Ohio. This contract opportunity with permanent potential is ideal for someone who can turn complex operational and financial data into clear recommendations that help leaders improve patient accounts outcomes. The role partners closely with analytics and revenue cycle stakeholders to build dependable reporting tools, surface performance insights, and guide informed business decisions while handling sensitive information with discretion.<br><br>Responsibilities:<br>• Evaluate revenue cycle and patient accounts data to uncover patterns, variances, and opportunities that influence operational and financial results.<br>• Gather, clean, transform, and organize data from multiple sources to create consistent datasets for recurring analysis and reporting.<br>• Design, update, and optimize dashboards, scorecards, and automated reports that improve visibility into key performance indicators.<br>• Deliver ad hoc analyses for leadership, translating findings into practical recommendations that support timely decision-making.<br>• Work with managers and business partners to investigate root causes of performance issues and quantify their impact on outcomes.<br>• Present analytical findings through concise written summaries, visualizations, and verbal updates tailored to stakeholder needs.<br>• Maintain clear documentation for data definitions, logic, methodologies, and reporting assets to support transparency and long-term usability.<br>• Collaborate effectively across teams, share knowledge with colleagues, and help maintain workflow coverage when business needs require additional support.
We are looking for a Data Analyst to join an education-focused organization on a contract-to-permanent basis. This role will bring structure and visibility to contract and vendor data by turning scattered information into reliable insights that support renewal planning and procurement decisions. The person in this position will work closely with sourcing, software asset management, finance, and vendor management stakeholders to improve oversight of agreements and help the team operate more proactively. This opportunity is well suited for someone who combines strong analytical ability with hands-on experience in vendor contracts, renewals, and procure-to-pay environments.<br><br>Responsibilities:<br>• Consolidate contract, procurement, finance, and usage information from multiple systems into organized datasets that support accurate tracking and reporting.<br>• Review and cleanse existing records to improve data quality, identify gaps, and create a dependable foundation for renewal and vendor oversight activities.<br>• Analyze upcoming contract expirations and renewal timelines to help the team prioritize actions and reduce reactive management of agreements.<br>• Partner with sourcing leads, software asset management professionals, and vendor management stakeholders to evaluate vendor portfolios and support governance reviews.<br>• Generate reports and spreadsheets that highlight contract status, vendor tiering, financial considerations, and lifecycle activity for decision-makers.<br>• Extract and interpret information from platforms such as Coupa, ServiceNow, finance tools, and other contract repositories to build useful business insights.<br>• Support vendor lifecycle and procure-to-pay analysis by identifying trends, tracking obligations, and improving visibility across active agreements.<br>• Collaborate with internal teams and external vendors to validate contract details, resolve discrepancies, and maintain consistent records across systems.
<p>Robert Half is seeking a Contract Data Analyst to join our client's team. As a Data Analyst, you will be responsible for collecting, processing, and analyzing data to provide actionable insights that support business decisions. This contract position offers an exciting opportunity to work with a dynamic team and help drive data-driven strategies for a respected organization.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ol><li><strong>Data Collection and Analysis:</strong> Collect, clean, and analyze data from various sources to identify trends, patterns, and insights that inform business decisions.</li><li><strong>Reporting:</strong> Create and maintain dashboards, reports, and visualizations that communicate findings to stakeholders in a clear and concise manner.</li><li><strong>Data Validation:</strong> Ensure data integrity by conducting regular audits, validation, and quality checks.</li><li><strong>Collaboration:</strong> Work closely with cross-functional teams to understand data requirements and provide insights that support strategic goals.</li><li><strong>Data Modeling:</strong> Develop and maintain data models, forecasts, and simulations to support business planning and operations.</li><li><strong>Trend Analysis:</strong> Monitor key performance indicators (KPIs) and analyze data trends to identify opportunities for improvement.</li><li><strong>Documentation:</strong> Document data processes, methodologies, and findings to ensure transparency and reproducibility of results.</li><li><strong>Ad Hoc Analysis:</strong> Provide ad hoc analysis and reporting support as needed to assist in decision-making processes.</li></ol><p><br></p>
<p><strong>Robert Half</strong> is actively partnering with an Austin-based client to identify a <strong>Data Analyst (contract).</strong> In this role, you will serve as a strategic partner between business stakeholders and the data platform. As well as transform complex business questions into scalable analytics solutions, enabling data-driven decision-making across multiple departments. <strong>This role is hybrid in Austin, Tx. </strong></p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Partner with stakeholders to translate business questions into actionable analytics solutions.</li><li>Gather requirements, define KPIs, and create scalable reporting frameworks.</li><li>Design, build, and maintain analytics data models using SQL and dbt.</li><li>Develop and enhance dashboards, reports, and self-service BI solutions.</li><li>Perform data validation, testing, and quality assurance to ensure accurate reporting.</li><li>Conduct trend analysis and root-cause investigations to support business decisions.</li><li>Present insights and recommendations to technical and non-technical audiences.</li><li>Collaborate on data platform enhancements, reporting consolidation, and modernization initiatives.</li><li>Automate recurring reporting and analytics processes using Python.</li><li>Maintain documentation, data governance standards, and reporting best practices.</li><li>Support secure handling of financial, operational, customer, and employee data.</li><li>Contribute to code reviews, CI/CD processes, and continuous improvement efforts.</li></ul>
We are seeking a detail-oriented Data Analyst to support material and vendor master data management for a well-established organization. This position is responsible for maintaining accurate data within SAP, processing material and vendor updates, supporting data governance initiatives, and ensuring data integrity across business operations. The ideal candidate brings experience in SAP, master data management, data validation, and process improvement, along with strong analytical and organizational skills. Key Responsibilities Create, update, and maintain material and vendor master records within SAP. Ensure accuracy, completeness, and consistency of master data across systems. Process vendor setup requests, changes, and updates while verifying required documentation and approvals. Maintain material records throughout the product lifecycle, including status changes and updates. Support data governance policies, procedures, and quality standards. Research and resolve data discrepancies, errors, and system-related issues. Collaborate with cross-functional teams to address data requests and operational needs. Support data synchronization and publication processes, including GDSN, 1WorldSync, and GS1 standards. Monitor shared mailboxes, manage incoming requests, and meet established service-level agreements (SLAs). Assist with data cleanup, reporting, and process improvement initiative
We are looking for a Data Analyst to support reporting, audience targeting, and data-driven decision-making for a manufacturing organization in Diamond Bar, California. This Long-term Contract position partners closely with business stakeholders to translate operational goals into meaningful reports, reliable datasets, and actionable audience lists. The ideal candidate brings strong analytical skills, hands-on experience with SQL and Excel, and the ability to communicate clearly while maintaining high standards for data accuracy.<br><br>Responsibilities:<br>• Partner with business teams to gather reporting needs, clarify audience outreach objectives, and turn those needs into practical data solutions.<br>• Develop and refine reports, datasets, and audience lists that help stakeholders measure performance and support business priorities.<br>• Write and troubleshoot SQL queries across multiple tables, using joins and backend reporting techniques to extract accurate information.<br>• Pull, validate, and organize data from platforms such as Salesforce and marketing-related systems to support analysis and campaign targeting.<br>• Perform data validation checks and investigate quality issues to improve confidence in reporting outputs and audience segmentation.<br>• Use advanced Excel functions, including PivotTables and lookup formulas, to analyze trends, reconcile data, and present findings clearly.<br>• Build targeted audience segments and list selections based on defined business rules, data attributes, and outreach requirements.<br>• Communicate proactively with cross-functional partners to provide status updates, resolve issues quickly, and ensure deliverables align with expectations.
We are looking for a Data Analyst to join a FinTech organization in New York, New York. This Long-term Contract position is ideal for someone who enjoys translating complex commercial and sales data into practical recommendations that support pricing, forecasting, and business decisions. In this role, you will work across teams to strengthen reporting accuracy, develop analytical models, and present insights that help guide deal strategy and revenue outcomes.<br><br>Responsibilities:<br>• Build and refine analytical models and reusable templates to evaluate new business opportunities as well as converted accounts.<br>• Perform margin-focused assessments on proposed deals to support pricing decisions and overall commercial strategy.<br>• Create clear presentation materials that summarize commercial proposals, financial considerations, and key business insights.<br>• Prepare internal review decks that clearly communicate deal performance, assumptions, risks, and recommendations for stakeholders.<br>• Audit and validate Salesforce data to improve consistency, completeness, and reporting reliability.<br>• Maintain accurate weekly tracking reports and ensure leadership has timely visibility into performance metrics and pipeline activity.<br>• Analyze sales and pricing data to uncover trends, compare scenario outcomes, and support revenue forecasting.<br>• Partner with cross-functional teams including Sales and Finance to align analysis with business objectives and customer needs.
We are looking for a Data Analyst to join a team in Somerset, New Jersey and turn complex information into actionable insight that strengthens fraud detection efforts. This contract opportunity with potential for a permanent role is ideal for someone who combines strong analytical thinking with practical experience identifying suspicious patterns, supporting investigations, and improving anti-fraud decision-making. The role offers the chance to work closely with business partners to interpret data, surface risk trends, and contribute to a more proactive fraud strategy.<br><br>Responsibilities:<br>• Examine large data sets to identify unusual activity, emerging fraud patterns, and indicators of potential risk.<br>• Create reports, dashboards, and analytical summaries that help stakeholders monitor fraud performance and make informed decisions.<br>• Partner with investigation and business teams to translate data findings into practical actions that support fraud prevention efforts.<br>• Evaluate transactional and behavioral information to uncover trends, root causes, and opportunities to reduce exposure.<br>• Support fraud investigations by gathering, organizing, and interpreting relevant data from multiple sources.<br>• Refine analytical methods and detection approaches to improve accuracy, efficiency, and responsiveness in anti-fraud initiatives.
<p>We are seeking a Data Analyst to support the design, development, implementation, and maintenance of software applications and data management solutions. This role requires close collaboration with cross-functional teams to deliver scalable technology solutions that meet business and operational needs.</p><p>Responsibilities</p><ul><li>Gather, analyze, and document business and technical requirements.</li><li>Translate requirements into functional specifications, technical designs, and implementation plans.</li><li>Research, evaluate, and recommend technologies, platforms, tools, and development approaches.</li><li>Design, develop, test, and deploy software applications, integrations, and database solutions.</li><li>Collaborate with project teams to define priorities, estimate effort, and support project delivery.</li><li>Assist with identifying, tracking, and resolving project risks, issues, and dependencies.</li><li>Work with stakeholders to provide status updates, gather feedback, and ensure alignment with project objectives.</li><li>Develop and maintain technical documentation, including system designs, processes, configurations, and support materials.</li><li>Troubleshoot, maintain, and enhance existing applications and systems.</li><li>Support cloud-based and enterprise technology environments as needed.</li><li>Participate in quality assurance, testing, and continuous improvement activities.</li><li>Perform other related duties and responsibilities as assigned.</li></ul><p>Qualifications</p><ul><li>Experience in software development, application support, or systems implementation.</li><li>Knowledge of software development methodologies and best practices.</li><li>Experience with databases, application design, and system integration concepts.</li><li>Strong analytical, problem-solving, and organizational skills.</li><li>Ability to manage multiple priorities and work effectively in a team environment.</li><li>Strong written and verbal communication skills.</li><li>Ability to learn new technologies and adapt to changing business needs.</li></ul><p><br></p>
We are looking for a Data Analyst to support a financial services organization in Boston, Massachusetts through a Long-term Contract engagement. This position focuses on portfolio and investment data within a private equity setting, helping teams improve reporting accuracy, streamline data processes, and turn complex business needs into reliable technical solutions. The ideal candidate brings strong analytical judgment, hands-on experience with Chronograph, and the ability to work closely with investment, finance, operations, and technology partners.<br><br>Responsibilities:<br>• Manage the collection, organization, and maintenance of portfolio-company data to support reporting and analysis across private equity and alternative investment activities.<br>• Translate business objectives into clear data definitions, rules, and technical requirements for reporting and workflow improvements.<br>• Perform data mapping, transformation, validation, and reconciliation activities to ensure consistency and accuracy across multiple data sources.<br>• Partner with investment professionals, finance teams, portfolio operations, and technology stakeholders to deliver dependable data solutions aligned with business priorities.<br>• Monitor data quality, investigate inconsistencies, and drive issue resolution through root-cause analysis and corrective actions.<br>• Support reporting processes by preparing and validating financial, operational, and investment-related datasets and key performance indicators.<br>• Use tools such as Snowflake and Microsoft Azure to assist with data processing, storage, and analysis in a controlled environment.<br>• Contribute to data migration and workflow enhancement initiatives where portfolio and investment data must be integrated or restructured.
We are looking for a Data Analyst to join a financial services organization in Moline, Illinois on a contract-to-permanent basis. In this role, you will turn business questions into clear technical requirements and help teams use data to make informed decisions. You will work closely with stakeholders across business, technology, and security functions to support the development of reliable reporting and analytics solutions.<br><br>Responsibilities:<br>• Partner with business teams to gather, clarify, and document reporting and analytics needs in a way that supports technical development.<br>• Convert business objectives into detailed specifications for data products, dashboards, and reporting solutions.<br>• Act as a key connection point between operational stakeholders and analytics teams to ensure requirements are complete, accurate, and actionable.<br>• Create meaningful visualizations and data narratives that help associates and members understand trends, performance, and opportunities.<br>• Support the design and delivery of business intelligence solutions using reporting and analytics tools aligned with organizational needs.<br>• Collaborate with information technology, data owners, and security partners to maintain data quality and uphold standards for confidentiality, integrity, and availability.<br>• Analyze data sets to identify issues, answer business questions, and recommend practical solutions with minimal supervision.<br>• Contribute to ongoing analytics initiatives by tracking requirements, coordinating feedback, and assisting with related project activities as needed.
<p>Robert Half is seeking an<strong> IFS Enterprise Asset Management (EAM) Solution Architect</strong> to support a strategic asset management transformation initiative for a large asset-intensive client. This consultant will serve as a trusted advisor responsible for evaluating the client's current-state IFS EAM environment and designing a scalable future-state framework that improves asset reliability, maintenance effectiveness, governance, reporting, and operational decision-making. Apply today! </p><p><br></p><p><strong>Duration:</strong> 3 months contract with potential to extend, depending on performance </p><p><strong>Location:</strong> 100% Remote, occasional travel to Seattle</p><p><strong>Schedule:</strong> Open to candidates who’d be interested in Part Time or Full Time work</p><p> </p><p><strong>Key Responsibilities</strong></p><ul><li>Assess current-state IFS EAM configuration, business processes, data structures, and governance practices.</li><li>Lead discovery sessions and workshops with maintenance, operations, supply chain, engineering, IT, and business stakeholders.</li><li>Design scalable asset hierarchy models, equipment structures, and master data governance frameworks.</li><li>Evaluate and optimize maintenance planning, preventive maintenance, work order management, scheduling, and execution processes.</li><li>Develop recommendations for warehouse operations, spare parts management, BOM governance, and inventory controls.</li><li>Establish reliability and performance measurement frameworks, including KPIs, reporting models, and asset lifecycle metrics.</li><li>Identify opportunities to leverage standard IFS capabilities while reducing reliance on custom processes and workarounds.</li><li>Create future-state operating models, implementation roadmaps, and prioritized improvement initiatives.</li><li>Support organizational readiness, training, knowledge transfer, and adoption activities.</li><li>Provide strategic guidance throughout assessment, design, and optimization phases of the engagement.</li></ul>
We are looking for a Data Analyst to support enterprise decision-making through advanced analytics, business intelligence, and data-driven recommendations. This Long-term Contract position is based in Boca Raton, Florida, with remote work flexibility and occasional travel as needed. The person in this role will turn complex operational and financial data into clear insights, practical reporting tools, and predictive models that help leaders improve performance and identify new opportunities.<br><br>Responsibilities:<br>• Analyze current and historical business data to uncover trends, risks, and opportunities that influence operational and strategic outcomes.<br>• Create and maintain dashboards, scorecards, and key performance indicators that give leadership clear visibility into business performance.<br>• Write advanced SQL queries and use Python to extract, transform, and evaluate large datasets from multiple enterprise platforms.<br>• Translate analytical findings into concise recommendations, executive-ready presentations, and decision support materials for senior stakeholders.<br>• Develop statistical, forecasting, and automated analytical solutions that strengthen reporting efficiency and business planning.<br>• Partner with operations, quality, finance, IT, business intelligence, and data science teams to define requirements and deliver practical analytics solutions.<br>• Perform ad hoc analysis in support of strategic initiatives, leadership requests, and continuous improvement efforts.<br>• Validate data integrity, investigate anomalies, and coordinate with technical teams to resolve data quality issues.<br>• Build repeatable analytical workflows and reusable code that reduce manual effort and improve scalability across reporting processes.
We are looking for a Data Analyst to support reliable data operations and help maintain the flow, quality, and usability of critical information across the organization. This role is based in Nashville, Tennessee, and is well suited for someone who combines strong Python and SQL skills with a methodical approach to troubleshooting data issues. The person in this position will work closely with technical teams and business partners to identify problems, improve pipeline performance, and keep stakeholders informed in a fast-paced environment.<br><br>Responsibilities:<br>• Oversee daily data processing activities to identify failed loads, broken workflows, or feed issues and take prompt action to restore normal operations.<br>• Investigate delays in incoming data, determine underlying causes, and implement corrective steps to improve consistency and timeliness.<br>• Collaborate with internal technology teams, delivery partners, and external vendors to communicate status updates, risks, and progress on data-related work.<br>• Troubleshoot coding and data quality problems, fulfill support requests, and develop practical measures that reduce repeat incidents.<br>• Evaluate competing issues independently, set priorities based on business impact, and recommend improvements to inefficient code or operational processes.<br>• Maintain clear documentation and provide regular communication so stakeholders understand incidents, resolutions, and next steps.<br>• Participate in an on-call support rotation to respond to pipeline or data availability incidents when needed.<br>• Contribute to additional operational and analytical initiatives that strengthen data reliability and support organizational goals.
We are looking for a Data Analyst to join a FinTech organization on a long-term contract assignment. This role focuses on transforming commercial and sales data into meaningful analysis that supports pricing decisions, revenue planning, and opportunity evaluation. The successful candidate will work closely with cross-functional partners to develop clear reporting, validate critical business data, and deliver insights that strengthen decision-making across the business.<br><br>Responsibilities:<br>• Create analytical models and decision-support templates to assess new business and converted opportunities.<br>• Evaluate deal economics by examining margins, pricing structures, and overall commercial viability.<br>• Develop effective presentation materials that summarize commercial proposals and support stakeholder discussions.<br>• Prepare internal review decks that clearly communicate deal performance, assumptions, and recommendation points.<br>• Audit and maintain Salesforce data to improve accuracy, consistency, and reporting reliability.<br>• Keep weekly tracking reports current by monitoring key metrics, updating performance data, and highlighting notable changes.<br>• Analyze sales and pricing information to uncover trends, identify opportunities, and support more competitive market decisions.
<p>We are looking for Data Analytics, Data Science, and AI professionals interested in exploring new opportunities with organizations leveraging data to drive strategic decision-making and innovation. We are partnering with multiple companies seeking talent across analytics, machine learning, artificial intelligence, and advanced reporting functions.</p><p><br></p><p><strong>Location:</strong> Pittsburgh, PA (Hybrid and Onsite Opportunities Available)</p><p><strong>Compensation:</strong> $85,000 - $200,000+ depending on experience and position</p><p><strong>Schedule:</strong> Full-Time</p><p><br></p><p><strong>Opportunities May Include:</strong></p><ul><li>Data Analyst</li><li>Senior Data Analyst</li><li>Business Intelligence Analyst</li><li>BI Developer</li><li>Data Scientist</li><li>Senior Data Scientist</li><li>Machine Learning Engineer</li><li>AI Engineer</li><li>Applied AI Engineer</li><li>AI/ML Engineer</li><li>Manager, Data & Analytics</li></ul><p><strong>Responsibilities:</strong></p><ul><li>Analyze large datasets to uncover trends, patterns, and actionable insights</li><li>Build dashboards, reports, and visualizations for business stakeholders</li><li>Develop predictive models, machine learning solutions, and AI-driven applications</li><li>Partner with cross-functional teams to solve complex business challenges</li><li>Evaluate and improve data quality, reporting accuracy, and analytical processes</li><li>Develop and deploy machine learning models into production environments</li><li>Communicate findings and recommendations to technical and non-technical audiences</li></ul><p><br></p>
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. ***