<p>Snowflake & Data Engineering Specialist</p><p><strong>Location:</strong> Northwest of Boston, MA</p><p><strong>Schedule:</strong> Hybrid (3 days onsite per week)</p><p><strong>Employment Type:</strong> Full-Time</p><p><br></p><p>Overview</p><p>We are seeking a hands-on <strong>Snowflake & Data Engineering Specialist</strong> to join our growing data team. This is an ideal opportunity for someone who enjoys wearing multiple hats and wants to be involved in every aspect of the data lifecycle.</p><p>Unlike larger organizations where responsibilities are highly specialized, this role offers broad exposure across data architecture, ingestion, ETL development, optimization, reporting support, and platform modernization. You will help drive our transition away from legacy SSIS-based processes and play a key role in building the next generation of our cloud-based data ecosystem.</p><p>We're particularly interested in candidates who have worked in smaller or mid-sized organizations where they have owned projects from start to finish and aren't afraid to roll up their sleeves to solve problems.</p><p><br></p><p>What You'll Do</p><ul><li>Design, build, and maintain scalable data pipelines in Snowflake</li><li>Lead efforts to migrate legacy SSIS workflows to modern cloud-based solutions</li><li>Perform end-to-end data ingestion from a variety of source systems, APIs, flat files, databases, and third-party platforms</li><li>Develop and optimize ETL/ELT processes to support analytics and business operations</li><li>Partner directly with business stakeholders to understand data needs and deliver solutions</li><li>Monitor, troubleshoot, and improve existing data integration processes</li><li>Create and maintain data models, transformations, and data quality processes</li><li>Support reporting, analytics, and downstream data consumers</li><li>Participate in architecture discussions and help shape the company's long-term data strategy</li><li>Contribute wherever needed as part of a collaborative, high-impact team</li></ul><p><br></p><p><br></p>
We are looking for an experienced Power BI Business Intelligence Engineer to join our team in Niceville, Florida. In this role, you will play a vital part in managing and enhancing our reporting and business intelligence platforms to provide actionable insights. Your expertise will drive data analysis, dashboard creation, and the development of solutions that support key business decisions.<br><br>Responsibilities:<br>• Oversee the company's reporting and business intelligence systems to ensure optimal performance and accuracy.<br>• Develop a deep understanding of the organization's business models, operations, and decision-making processes.<br>• Analyze data architecture and gather requirements from stakeholders to create tailored solutions.<br>• Build and manage data sources, models, and integrations for reporting and analytics purposes.<br>• Design and maintain dashboards and reports using enterprise business intelligence tools.<br>• Facilitate seamless data integration processes to retrieve, transform, and analyze datasets.<br>• Support leadership in creating management information and KPIs to drive data-driven decision-making.<br>• Ensure data quality and integrity across all business intelligence deliverables.<br>• Stay updated with the latest advancements in BI technologies, tools, and practices to recommend improvements.<br>• Document systems and processes comprehensively while adhering to governance, security, and privacy standards.
<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>
Position: Principal Data Engineer | Direct Hire Permanent<br>Location: Remote<br>Salary: $180,000 - $225,000 base plus SIGNIFICANT bonus and or equity potential<br><br>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***<br><br>Build the data foundation that powers analytics, AI, and enterprise decision-making.<br>We’re hiring a Principal Data Engineer to design and deliver a modern, scalable data platform from the ground up. This is a high-impact, hands-on role where you’ll lead architecture decisions, build production-grade pipelines, and enable secure, multi-tenant data capabilities that support everything from reporting to advanced AI use cases.<br><br>What You’ll Own<br> • Design and build a modern data platform across ingestion, transformation, storage, and consumption<br> • Develop scalable batch and real-time pipelines across diverse data sources (relational, event, document)<br> • Establish data architecture standards, modeling practices, and engineering frameworks<br> • Create secure, multi-tenant data environments with strong governance and access controls<br> • Build data models and serving layers for reporting, self-service analytics, and AI workloads<br> • Evaluate and implement cloud data technologies for performance, cost, and scalability<br> • Partner with engineering and business leaders to align data strategy with company priorities<br> • Guide vendors and external partners while enforcing internal data standards and quality<br><br>What You Bring<br> • 10+ years of experience in data engineering, including large-scale architecture ownership<br> • Strong programming skills in Python and experience with tools like Spark, Kafka, or similar<br> • Expertise building batch and streaming pipelines in cloud environments (AWS preferred)<br> • Deep knowledge of data modeling for both transactional and analytical systems<br> • Hands-on experience with Snowflake, Redshift, or modern data platforms<br> • Strong understanding of data governance, privacy, and secure data design<br> • Experience with ETL frameworks, testing, and CI/CD-driven data workflows<br> • Ability to clearly communicate technical strategy and tradeoffs to senior stakeholders<br><br>Why This Role<br> • Architect and build a next-generation data platform from foundational level<br> • Direct impact on analytics, product insights, and AI capabilities<br> • High ownership, visibility, and influence across engineering and leadership<br> • Opportunity to define standards, tooling, and long-term data strategy<br><br>If you’re a hands-on data engineer who enjoys building scalable platforms and shaping how data is leveraged across an organization, this is a high-impact opportunity to lead from the front.<br><br><br>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. Also, you may contact me by office: 515-303-4654 or mobile: 515-771-8142. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
Position: Principal Data Engineer | Direct Hire Permanent<br>Location: Remote<br>Salary: $225,000 - 300,000 base plus bonus potential<br>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***<br><br>Build the data foundation that powers analytics, AI, and enterprise decision-making.<br>We’re hiring a Principal Data Engineer to design and deliver a modern, scalable data platform from the ground up. This is a high-impact, hands-on role where you’ll lead architecture decisions, build production-grade pipelines, and enable secure, multi-tenant data capabilities that support everything from reporting to advanced AI use cases.<br><br>What You’ll Own<br> • Design and build a modern data platform across ingestion, transformation, storage, and consumption<br> • Develop scalable batch and real-time pipelines across diverse data sources (relational, event, document)<br> • Establish data architecture standards, modeling practices, and engineering frameworks<br> • Create secure, multi-tenant data environments with strong governance and access controls<br> • Build data models and serving layers for reporting, self-service analytics, and AI workloads<br> • Evaluate and implement cloud data technologies for performance, cost, and scalability<br> • Partner with engineering and business leaders to align data strategy with company priorities<br> • Guide vendors and external partners while enforcing internal data standards and quality<br><br>What You Bring<br> • 10+ years of experience in data engineering, including large-scale architecture ownership<br> • Strong programming skills in Python and experience with tools like Spark, Kafka, or similar<br> • Expertise building batch and streaming pipelines in cloud environments (AWS preferred)<br> • Deep knowledge of data modeling for both transactional and analytical systems<br> • Hands-on experience with Snowflake, Redshift, or modern data platforms<br> • Strong understanding of data governance, privacy, and secure data design<br> • Experience with ETL frameworks, testing, and CI/CD-driven data workflows<br> • Ability to clearly communicate technical strategy and tradeoffs to senior stakeholders<br><br>Why This Role<br> • Architect and build a next-generation data platform from foundational level<br> • Direct impact on analytics, product insights, and AI capabilities<br> • High ownership, visibility, and influence across engineering and leadership<br> • Opportunity to define standards, tooling, and long-term data strategy<br><br>If you’re a hands-on data engineer who enjoys building scalable platforms and shaping how data is leveraged across an organization, this is a high-impact opportunity to lead from the front.
<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>Data Analyst – Data Visualization and AI Tools</p><p><strong>Location:</strong> Stamford/Norwalk area</p><p><strong>Work Arrangement:</strong> Onsite</p><p><strong>Job Summary</strong></p><p>We are seeking a Data Analyst with strength in data visualization and the use of AI tools to support reporting, dashboard development, and business insights. This role will transform data into meaningful visual outputs, identify trends, and help improve decision-making through modern analytical tools. The ideal candidate is curious, analytical, and skilled at presenting data in a clear and impactful way.</p><p><strong>Key Responsibilities</strong></p><ul><li>Analyze data from multiple sources to identify trends and insights</li><li>Build dashboards, reports, and visualizations for business users</li><li>Support data quality, validation, and cleansing efforts</li><li>Use AI-enabled tools to streamline analysis and reporting workflows</li><li>Translate business questions into actionable data outputs</li><li>Partner with stakeholders to define reporting needs</li><li>Present findings in a clear, concise, and visually effective format</li><li>Support process improvement and automation initiatives</li></ul><p><br></p>
We are looking for an experienced Data Analyst to join a mission-driven non-profit organization in Battle Creek, Michigan. This onsite position is ideal for someone who is detail oriented and can quickly step into a lean team environment and turn complex information into clear, decision-ready reporting. The role centers on analyzing data, developing impactful dashboards, and supporting fraud-focused insights through strong business intelligence practices.<br><br>Responsibilities:<br>• Analyze organizational data to identify trends, patterns, and actionable insights that support reporting needs and operational decisions.<br>• Build and maintain Power BI dashboards and reports that present information in a clear, accurate, and useful format for stakeholders.<br>• Produce recurring and ad hoc reports to meet business needs, with a focus on timely and reliable delivery.<br>• Support fraud-related analysis by reviewing data for irregularities, risk indicators, and areas requiring further investigation.<br>• Work with data sources and warehousing structures to improve reporting quality, consistency, and accessibility.<br>• Collaborate closely with a small onsite team, contributing independently while helping strengthen overall analytics capacity.<br>• Translate raw data into business intelligence outputs that help leadership monitor performance and make informed choices.
We are looking for a detail-oriented Data Analyst to join a Financial Services team in New Orleans, Louisiana on a contract basis with the potential for a permanent position. This role focuses on reviewing data tied to potential fraud activity, identifying irregularities in invoices and transactions, and turning findings into clear recommendations for business partners. The ideal candidate is comfortable working with large data sets, performing research, and using analytical tools to support fraud detection and investigation efforts.<br><br>Responsibilities:<br>• Analyze transaction and invoice data to detect unusual patterns, inconsistencies, and indicators of potentially fraudulent activity.<br>• Investigate flagged records by conducting research, validating supporting details, and documenting findings in a clear and organized manner.<br>• Use Microsoft Excel and related analytical methods to sort, reconcile, and interpret large volumes of financial information.<br>• Partner with internal stakeholders to communicate trends, summarize risks, and support decisions related to fraud prevention and resolution.<br>• Review invoice discrepancies and related exceptions to determine root causes and recommend next steps.<br>• Maintain accurate reporting on case activity, analytical results, and emerging fraud patterns for ongoing monitoring.<br>• Support anti-fraud initiatives by refining data review processes and improving the quality of investigative insights.
<p>We are looking for a Data Analyst to join a collaborative team in Atlanta, Georgia, where data is used to guide business strategy and operational decisions. This opportunity is ideal for someone who enjoys translating complex information into clear reporting and practical recommendations. The person in this role will partner with stakeholders across the business to uncover patterns, improve data quality, and deliver meaningful insights through analysis and visualization.</p><p><br></p><p>Responsibilities:</p><p>• Create interactive dashboards and recurring reports that help teams monitor performance and identify areas for improvement.</p><p>• Examine large and varied datasets to uncover trends, exceptions, and actionable business insights.</p><p>• Develop and run database queries to extract, organize, and interpret information from multiple sources.</p><p>• Review, reconcile, and validate data to maintain accuracy, consistency, and reliability in reporting outputs.</p><p>• Communicate findings to business partners and leadership through clear presentations, summaries, and visual storytelling.</p><p>• Work closely with cross-functional teams to support informed decision-making with timely analytical input.</p><p>• Apply analytical techniques to fraud-related data to help detect suspicious activity and strengthen anti-fraud efforts.</p>
We are looking for a detail-oriented Data Analyst to support commission-related reporting and financial data review within the insurance industry in Elmwood Park, New Jersey. This Long-term Contract position is ideal for someone who enjoys working with complex datasets, identifying inconsistencies, and helping maintain accurate commission operations. The role combines analytical problem-solving, reporting, and cross-functional coordination to ensure commission activity is processed correctly and on time.<br><br>Responsibilities:<br>• Examine insurance commission data and validate calculations to support accurate statement processing.<br>• Investigate mismatches, payment issues, and reporting variances by researching broker and carrier records.<br>• Review new policy activity and account updates to confirm commission handling aligns with business rules.<br>• Reconcile internal commission information against carrier submissions and address exceptions promptly.<br>• Produce recurring monthly reports that highlight operational results and commission activity.<br>• Manage detailed carrier statement uploads and process high-volume or complex commission transactions.<br>• Support audit requests by gathering documentation and verifying the accuracy of commission records.<br>• Perform month-end reporting checks and system-level data reviews to improve accuracy and completeness.<br>• Build and maintain Excel-based analysis tools, using advanced formulas and macros to organize and interpret data.<br>• Monitor commission deposits, payment activity, and special reporting requests as needed.
We are looking for an experienced IT Data Analyst to join a Contract engagement supporting enterprise reporting and analytics efforts in Cedar Rapids, Iowa. In this role, you will work closely with business and technical partners to turn reporting needs into reliable, data-driven solutions that improve insight and decision-making. The ideal candidate brings strong analytical ability, hands-on data validation experience, and the communication skills needed to guide requirements from discovery through testing and delivery.<br><br>Responsibilities:<br>• Collaborate with business partners to capture reporting objectives, clarify analytical needs, and confirm that requirements are complete and actionable.<br>• Convert business goals into structured data specifications that support report development, analytics design, and downstream technical work.<br>• Examine datasets from multiple sources to identify data quality concerns, inconsistencies, and opportunities to strengthen reporting accuracy.<br>• Create and carry out validation and testing activities to confirm that reporting outputs are dependable, accurate, and aligned with business expectations.<br>• Perform data mapping, trace data movement across systems, and define relationships among source elements to support analysis and reporting solutions.<br>• Assist with user acceptance testing by documenting issues, coordinating follow-up, and helping drive timely resolution of defects or data discrepancies.<br>• Support enterprise analytics initiatives by contributing insights that improve reporting processes, data usability, and overall decision support.<br>• Work with cross-functional teams to troubleshoot reporting and data-related challenges in both relational and cloud-based environments.
We are looking for a Data Analyst to support fraud detection and investigative reporting for a Long-term Contract opportunity based in Irvine, California. This role focuses on turning complex data into actionable insights that help identify suspicious activity, strengthen anti-fraud efforts, and support business decision-making. The ideal candidate brings strong analytical thinking, experience working with fraud-related datasets, and the ability to communicate findings clearly to stakeholders.<br><br>Responsibilities:<br>• Analyze transactional and behavioral data to uncover unusual patterns, emerging risks, and indicators of suspected fraud.<br>• Develop reports, dashboards, and data summaries that support fraud monitoring, case prioritization, and investigative follow-up.<br>• Partner with fraud prevention and investigation teams to translate data findings into practical actions and risk mitigation strategies.<br>• Review large datasets for inconsistencies, trends, and anomalies that may signal fraudulent activity or control weaknesses.<br>• Support ongoing anti-fraud initiatives by providing data-driven insights that improve detection accuracy and operational response.<br>• Document analytical findings in a clear and organized manner for business partners, investigators, and leadership review.<br>• Assist with refining data analysis methods and reporting processes to improve visibility into fraud trends and performance outcomes.
<p>A growing organization is seeking an <strong>eCommerce</strong> <strong>Data Specialist </strong>to play a key role in modernizing its online eCommerce product ecosystem. This position will focus on transforming large, complex product datasets, designing scalable catalog structures, and improving the processes used to manage product information across digital sales channels.</p><p><br></p><p>This is an excellent opportunity for someone who enjoys solving data challenges, streamlining workflows, and building a foundation for future ecommerce growth.</p><p><br></p><p><strong>What You'll Do</strong></p><ul><li>Redesign and optimize product catalog structures for a modern commerce platform.</li><li>Analyze, cleanse, and standardize large volumes of product data.</li><li>Create efficient processes for data imports, updates, validation, and ongoing maintenance.</li><li>Work with technical teams to align product information, business rules, and system integrations.</li><li>Improve digital asset organization, including product imagery and supporting content.</li><li>Evaluate and automate manual processes where possible.</li><li>Ensure data accuracy, consistency, and usability across ecommerce systems.</li></ul><p><strong>What We're Looking For</strong></p><ul><li>Experience working with large-scale product catalogs or digital commerce data.</li><li>Strong understanding of product taxonomy, catalog organization, and data governance.</li><li>Experience with data conversion, migration projects, or systems modernization initiatives.</li><li>Familiarity with APIs, structured data formats, and data integration processes.</li><li>Ability to troubleshoot data quality issues and develop scalable solutions.</li><li>Excellent analytical and problem-solving skills.</li></ul><p><strong>Preferred Experience</strong></p><ul><li>Product information management (PIM) systems.</li><li>ERP integrations and data synchronization.</li><li>Workflow automation or scripting experience.</li><li>High-volume product environments or highly configurable product offerings.</li><li>Digital asset management and ecommerce operations.</li></ul><p>Why Consider This Opportunity?</p><ul><li>Highly visible role with significant impact on business operations.</li><li>Opportunity to shape long-term data strategy and best practices.</li><li>Blend of technical problem-solving, process improvement, and business collaboration.</li><li>Stable organization investing in its digital commerce capabilities.</li></ul><p>Candidates with experience improving product data quality, streamlining catalog operations, or supporting digital transformation initiatives are encouraged to apply.</p>
<p>This Long-term Contract position focuses on interpreting business data, preparing meaningful reports, and sharing actionable insights with internal teams. The role offers the opportunity to work across recurring analysis needs as well as special projects in a fast-paced environment.</p><p><br></p><p>Responsibilities:</p><p>• Analyze large sets of operational and business data using Excel and other reporting tools to identify trends, exceptions, and opportunities.</p><p>• Gather information from multiple sources, organize findings, and present clear updates to stakeholders and team members.</p><p>• Create and maintain reports, spreadsheets, and dashboards that support ongoing business monitoring and decision-making.</p><p>• Partner with internal teams to respond to ad hoc analysis requests and deliver timely, accurate results.</p><p>• Assist with special projects by compiling data, validating information, and summarizing outcomes in an easy-to-understand format.</p><p>• Support data activities related to enterprise systems, including SAP-based reporting or training-related tasks when needed.</p><p>• Help improve reporting consistency by checking data quality and ensuring information is current and reliable.</p>
We are looking for an experienced Data Analyst to support healthcare initiatives in Philadelphia, Pennsylvania. This is a long-term contract position that requires strong analytical skills and a focus on fraud detection and prevention. The ideal candidate will leverage data-driven insights to enhance decision-making and ensure the integrity of healthcare operations.<br><br>Responsibilities:<br>• Conduct detailed data analyses to identify patterns of suspected fraud and anomalies in healthcare systems.<br>• Develop and implement fraud detection models using advanced analytics tools and techniques.<br>• Collaborate with cross-functional teams to investigate potential fraudulent activities and propose actionable solutions.<br>• Utilize platforms such as Epics and Chartmaxx to extract and analyze data effectively.<br>• Generate comprehensive reports and dashboards to present findings and support decision-making.<br>• Monitor ongoing healthcare operations to ensure compliance with anti-fraud protocols.<br>• Optimize data workflows and processes to enhance efficiency and accuracy.<br>• Stay updated on industry trends and best practices in fraud analytics and healthcare data analysis.<br>• Provide recommendations to improve system integrity and prevent future fraudulent activities.
We are looking for a Data Analyst to support a long-term contract engagement in Middletown, Delaware. This position is ideal for someone who combines strong technical integration expertise with a practical understanding of accounting-related systems, especially within QuickBooks desktop environments. The role will focus on assessing data flow, identifying efficient integration approaches, and helping business stakeholders turn operational needs into workable technical solutions.<br><br>Responsibilities:<br>• Evaluate existing systems and recommend effective integration approaches between QuickBooks desktop platforms and related business applications.<br>• Review DataForma capabilities and determine practical options for connecting, exchanging, or synchronizing information across systems.<br>• Analyze current data structures to support imports, exports, migration planning, and process automation opportunities.<br>• Work closely with business users to gather needs, clarify challenges, and translate operational goals into technical recommendations.<br>• Troubleshoot data movement issues and help define reliable methods for improving accuracy, consistency, and efficiency.<br>• Support project execution by documenting integration logic, data handling requirements, and solution considerations for stakeholders.<br>• Collaborate with onsite and remote teams to ensure proposed solutions align with system access constraints and project timelines.
We are looking for a meticulous Data Analyst to join a manufacturing organization in St. Louis Park, Minnesota on a Long-term Contract assignment. In this role, you will examine complex customer records, verify company connections through research, and create clear account hierarchies that improve data quality and usability. This position is well suited to someone who enjoys investigative analysis, works carefully in Excel, and can bring order to high-volume information with consistency and accuracy.<br><br>Responsibilities:<br>• Analyze customer data files in Excel to identify organizational relationships and map links between parent companies, subsidiaries, and related entities.<br>• Research publicly available sources to confirm ownership structures, legal relationships, and account alignment across business records.<br>• Build accurate company hierarchies for priority accounts and organize findings into a format that supports reliable business use.<br>• Clean and standardize inconsistent customer information so records can be used more effectively by downstream teams and platforms.<br>• Prepare validated datasets for transfer into business systems, including Salesforce and enterprise data repositories.<br>• Work closely with internal stakeholders to align on hierarchy rules, data handling methods, and account research outcomes.<br>• Apply established procedures while managing detailed investigative tasks independently and maintaining a high level of accuracy.<br>• Support data improvement efforts tied to source information from Snowflake and other organizational systems, using Excel as the primary working tool.
We are looking for a detail-oriented Data Analyst to support a long-term contract assignment within the health pharm/biotech industry in Omaha, Nebraska. In this role, you will help maintain accurate contract and customer service data by reviewing records, validating key details, and ensuring information aligns with source documentation. This position is ideal for someone who brings strong analytical ability, a disciplined approach to data quality, and experience working with business systems in a structured environment.<br><br>Responsibilities:<br>• Examine customer service contract records to confirm completeness, accuracy, and alignment with business documentation.<br>• Validate critical contract elements such as service coverage, active dates, billing details, equipment information, and total contract value.<br>• Compare data stored in business platforms with supporting files to detect mismatches, omissions, or inconsistencies.<br>• Enter, revise, and maintain contract-related information in Microsoft Dynamics 365 ERP and Microsoft Dynamics CRM based on project guidelines.<br>• Record exceptions clearly and route complex issues to leadership for further review and resolution.<br>• Apply established quality standards and workflows to preserve consistency and data integrity across all assigned work.<br>• Support audit-ready documentation by maintaining organized records of findings, corrections, and outstanding items.
We are looking for a Data Analyst to join a FinTech organization in New York, New York on a Long-term Contract basis. This position will focus on transforming business data into clear reporting, actionable insights, and performance tracking that support renewal and subscription activities. The role works closely with stakeholders across teams to strengthen reporting accuracy, improve operational visibility, and help guide data-driven decisions.<br><br>Responsibilities:<br>• Develop and distribute recurring reports related to renewals, subscriptions, and business performance for internal stakeholders.<br>• Examine operational and business data to identify trends, highlight risks, and provide insights that support informed decision-making.<br>• Contribute to renewal-focused initiatives and cross-functional projects by supplying analysis, reporting, and metric tracking.<br>• Ensure information remains accurate and consistent across reports, dashboards, trackers, and other business tools.<br>• Build, maintain, and refine Excel-based models, dashboards, and analytical files used for ongoing monitoring and planning.<br>• Handle ad hoc data and reporting requests from managers and business partners in a timely and organized manner.<br>• Partner with teams across the business to support operational goals and improve visibility into key performance measures.<br>• Recommend and support enhancements to reporting processes, data quality controls, and overall analytical efficiency.<br>• Monitor renewal metrics and related indicators to help assess performance and identify areas for improvement.
<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>
We are looking for a Data Analyst to join a team in Florida on a contract basis with the potential for a permanent position. In this role, you will turn business needs into reliable reporting, data solutions, and actionable insights that support day-to-day operations and long-term decision-making. The position offers the opportunity to work across analytics, database management, integrations, and process improvement while partnering closely with both technical teams and business stakeholders.<br><br>Responsibilities:<br>• Create, refine, and optimize database queries across multiple query languages to support reporting, analysis, and operational needs.<br>• Partner with internal stakeholders to gather reporting goals, translate requirements into effective dashboards and visualizations, and enhance BI solutions over time.<br>• Build and maintain data interfaces that connect enterprise systems, databases, and external sources to ensure dependable data flow.<br>• Administer and monitor on-premise and cloud-based databases, helping maintain performance, availability, data quality, and security standards.<br>• Design and deliver custom analytics tools, automated workflows, and data-driven solutions that improve efficiency and align with business priorities.<br>• Provide advanced troubleshooting and support for BI, reporting, and analytics platforms, including handling escalated issues and assisting frontline support when needed.<br>• Prepare and update technical documentation for reports, integrations, databases, automated processes, and other data solutions.<br>• Contribute to ETL and pipeline activities that support consistent data transformation, movement, and accessibility across platforms.
<p>We are seeking an experienced <strong>ERP Data Engineer</strong> to support and enhance enterprise data solutions that integrate critical business information across ERP platforms. This role will focus on designing, developing, and maintaining data pipelines, data models, reporting datasets, and integrations that enable high-quality analytics and business decision-making.</p><p>The ideal candidate will have experience working with ERP systems such as <strong>Oracle, SAP, Microsoft Dynamics 365, Workday, Infor, or NetSuite</strong>, along with strong SQL, ETL, and cloud data platform expertise.</p><p><br></p><p>Responsibilities</p><ul><li>Design, develop, and maintain data pipelines that extract, transform, and load ERP data into enterprise data warehouses and analytics platforms.</li><li>Build and optimize integrations between ERP systems and downstream applications.</li><li>Develop scalable data models to support reporting, analytics, forecasting, and operational decision-making.</li><li>Partner with business stakeholders, ERP teams, and analytics teams to understand reporting and data requirements.</li><li>Ensure data quality, validation, governance, and consistency across multiple systems.</li><li>Monitor and troubleshoot data integration processes and resolve data-related issues.</li><li>Support ERP implementations, upgrades, migrations, and data conversion efforts.</li><li>Create and maintain technical documentation, data mappings, and process flows.</li><li>Optimize database performance, ETL processes, and reporting datasets.</li><li>Support BI platforms including Power BI, Tableau, or similar analytics tools.</li></ul>
<p>Robert Half is seeking a Data Architect for our partner in the Appleton area to help accelerate the development of their modern data platform. This is an opportunity to join a growing data organization that is transitioning to a cloud-based architecture centered around Google Cloud Platform and BigQuery.</p><p><br></p><p>The Data Architect will work closely with a team of Data Engineers, Data Analysts, and Data Scientists to establish the technical vision, architecture, and standards for the organization’s modern data environment. This person will provide hands-on technical leadership to the engineering team while helping move the platform from its current development stage into a scalable, production-ready environment.</p><p><br></p><p>What You’ll Do</p><ul><li>Define and implement the architecture for a modern cloud data lakehouse using GCP, BigQuery, and related technologies.</li><li>Partner closely with Data Engineers to translate architectural strategy into scalable, production-ready solutions.</li><li>Establish standards and best practices for data ingestion, transformation, storage, orchestration, security, governance, and performance.</li><li>Help accelerate the development and deployment of the organization’s GCP data platform.</li><li>Evaluate existing architecture and recommend improvements to increase scalability, reliability, performance, and development velocity.</li><li>Provide technical leadership, mentorship, and architectural guidance to a team of Data Engineers.</li><li>Work with Data Analysts and Data Scientists to ensure the data platform effectively supports analytics, reporting, machine learning, and AI initiatives.</li><li>Collaborate with Project Managers, Business Analysts, and business stakeholders to translate requirements into effective technical solutions.</li><li>Stay current with emerging data and AI technologies and identify opportunities to incorporate AI into engineering processes and business solutions.</li><li>Remain hands-on with technology, including troubleshooting complex technical challenges and demonstrating solutions for the engineering team.</li></ul><p><br></p>
We are looking for a Business Analytics/Data Analyst to support data-focused initiatives for a leading manufacturing organization in St. Louis Park, Minnesota. This Long-term Contract position is ideal for someone who enjoys turning complex customer and vendor information into accurate, meaningful business insights. The role blends analytical problem-solving, data stewardship, and research-driven decision-making in a hybrid work environment.<br><br>Responsibilities:<br>• Analyze domestic and international customer and vendor data to improve accuracy, consistency, and usability across business records.<br>• Research company ownership structures using AI-enabled tools and other sources to establish clear parent-child hierarchies and document the rationale behind each conclusion.<br>• Maintain and enhance master data quality by identifying discrepancies, resolving duplicates, and applying governance standards to critical records.<br>• Use SQL, Excel, and business intelligence tools to interpret data trends, validate information, and support operational reporting needs.<br>• Partner with internal stakeholders to clarify data issues, confirm business rules, and ensure information aligns with organizational standards.<br>• Prepare clear summaries of findings, decisions, and data changes so that business users can understand and trust the underlying records.<br>• Contribute to ongoing data management projects by supporting process improvements and helping maintain reliable reference data.<br>• Work effectively in a hybrid setting, balancing in-office collaboration with independent analytical work.