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148 results for Data Architect jobs

Data Architect

Springfield, MA
onsite
Temporary / Contract
55 - 58 USD / Hourly
We are seeking an experienced Clinical Data Architect / Data Management Specialist to support the design, integration, cleansing, and processing of clinical data across multiple healthcare data sources. This role will focus on developing scalable data frameworks, establishing data standards, and transforming disparate healthcare data into a cohesive longitudinal data model to support analytics, reporting, and operational needs.
2026-07-20T00:00:00Z

Data/Information Architect

Madison, WI
onsite
Temporary to Hire
57 - 66 USD / Hourly
We are looking for an experienced Data/Information Architect to help shape and guide modern cloud and data architecture initiatives in Madison, Wisconsin. This contract opportunity is ideal for a senior specialist who can connect enterprise architecture strategy with hands-on engineering across cloud platforms, automation, and scalable data solutions. The role focuses on designing resilient, secure, and high-performing environments that support distributed applications, platform services, and evolving business needs. Responsibilities: • Lead the design of enterprise data and cloud architecture solutions that align technical strategy with operational goals. • Create scalable architectures for distributed applications using microservices, container platforms, and serverless capabilities where appropriate. • Define and implement infrastructure automation standards with tools such as Terraform, Bicep, CloudFormation, or Pulumi to improve consistency and speed. • Establish CI/CD practices and deployment workflows that support reliable software delivery and efficient environment management. • Architect container-based workloads with strong consideration for networking, access control, monitoring, and overall platform stability. • Develop integration patterns and event-driven solution designs that improve interoperability across cloud services and business systems. • Partner with engineering and business stakeholders to document architecture decisions, communicate technical direction, and support long-term roadmap planning. • Contribute to modern data platform design, including data lakes, warehouses, streaming pipelines, and data modeling approaches for analytics and operational use cases. • Promote secure architecture principles by embedding compliance, encryption, least-privilege access, and risk mitigation into platform and data designs. • Mentor team members and encourage engineering best practices across architecture governance, cloud operations, and platform development.
2026-07-20T00:00:00Z

Data Engineer

Kalamazoo, MI
remote
Permanent / Full Time
150000 - 225000 USD / Yearly
We are looking for a senior-level Data Engineer to shape and deliver a scalable data platform in Kalamazoo, Michigan. This role combines strategic architecture with hands-on engineering, creating reliable data products that support reporting, advanced analytics, and AI-driven solutions. The ideal candidate will build secure, multi-tenant data capabilities with strong attention to privacy, governance, and long-term platform quality. Responsibilities: • Lead the design of a modern data platform that supports ingestion, transformation, storage, and consumption across analytical and operational use cases. • Build and maintain robust batch and streaming pipelines that move data from relational systems, object storage, document databases, and event sources into centralized platforms. • Define data architecture standards, modeling approaches, and engineering practices that improve consistency, reliability, and scalability across the organization. • Create multi-tenant data solutions with strong isolation controls, secure access patterns, and governance measures built into the platform design. • Develop data models and serving layers that enable enterprise reporting, self-service analytics, and AI or machine learning workloads. • Evaluate cloud-based data services, processing frameworks, and warehouse technologies to ensure the platform meets performance, cost, and security expectations. • Partner with product, engineering, and leadership teams to explain technical decisions, highlight risks, and align platform investments with business priorities. • Oversee external vendors and implementation partners by reviewing recommendations, challenging misaligned approaches, and enforcing internal data standards.
2026-07-24T00:00:00Z

Data Engineer

Norristown, PA
onsite
Permanent / Full Time
140000 - 150000 USD / Yearly
We are looking for a Data Engineer to drive the design and delivery of scalable data solutions that support critical business objectives within the oil and gas sector. This position is based in King of Prussia, Pennsylvania, and combines technical execution with leadership responsibilities, including guiding a small team and shaping engineering best practices. The ideal candidate brings strong expertise in modern data platforms, builds dependable pipelines and models, and works comfortably across complex source systems to produce high-quality data assets. Responsibilities: • Lead the development of enterprise data pipelines and modeling solutions that enable reliable reporting, analytics, and operational decision-making. • Provide day-to-day technical direction for a small team of data engineers, offering mentorship, code guidance, and support for delivery priorities. • Design, build, and optimize ETL workflows using Python and SQL to move and transform data from a wide range of upstream systems. • Create and maintain scalable data structures in Snowflake and Databricks to support performance, usability, and long-term maintainability. • Establish engineering standards, documentation practices, and development approaches that improve consistency and quality across data initiatives. • Collaborate with business and technical stakeholders to translate data needs into practical architecture and implementation plans. • Contribute directly to hands-on coding, testing, troubleshooting, and deployment activities across the data engineering lifecycle. • Evaluate data quality, resolve integration challenges, and improve pipeline reliability through monitoring and continuous enhancement.
2026-07-17T00:00:00Z

Data Engineer

Saint Charles, MO
onsite
Temporary to Hire
38 - 44 USD / Hourly
We are seeking a Data Engineer to join the Enterprise Applications team with a Higher Education client. This role is responsible for designing, building, and maintaining systems for collecting, storing, integrating, and analyzing data from multiple sources across the organization. The Data Engineer will support a major admissions technology initiative involving the implementation of Slate CRM and will serve as a key resource for data conversion, migration, integration development, and data architecture efforts. The role will also contribute to data governance, security, and AI readiness initiatives. This is a 6 month contract to hire role. Responsibilities<ul><li>Collaborate with stakeholders to understand reporting, data, and analytics requirements.</li><li>Design, implement, document, and maintain data lakes and related data architectures.</li><li>Support data conversion, migration, and integration activities associated with the Slate CRM implementation.</li><li>Develop and maintain integrations between enterprise systems and applications.</li><li>Create and maintain data models, including star schema and dimensional models.</li><li>Prepare data environments for artificial intelligence (AI) adoption and usage.</li><li>Recommend technical solutions that align with business requirements.</li><li>Provide technical support for enterprise data systems and users.</li><li>Develop and maintain technical documentation, user guides, and operational procedures.</li><li>Manage system upgrades and enhancements, including testing and documentation updates.</li><li>Troubleshoot data access, data quality, and integration issues.</li><li>Develop and implement security configurations and support compliance with governance standards.</li><li>Create data validation methods and processes to ensure data accuracy and reliability.</li><li>Monitor system and integration performance and identify improvement opportunities.</li><li>Collaborate with internal teams and external vendors regarding system enhancements, fixes, and integrations.</li><li>Participate in planning and implementation of data-related initiatives.</li></ul>
2026-07-06T00:00:00Z

Data Engineer

Edina, MN
onsite
Permanent / Full Time
114000 - 141000 USD / Yearly
Seeking a Data Engineer to design, build, and maintain modern data pipelines, data models, reporting solutions, and analytics platforms. This role will support enterprise data initiatives using Microsoft Fabric, SAP, SQL, and Power BI while ensuring scalable, secure, and high-performing data solutions. Key Responsibilities:<ul><li>Build and maintain ETL/ELT data pipelines from SAP, SQL, and other enterprise data sources.</li><li>Develop and optimize data models within Microsoft Fabric for reporting and analytics.</li><li>Create and enhance Power BI dashboards and reports.</li><li>Utilize Power Apps and Power Automate to support data workflows.</li><li>Develop and support data science and analytical models.</li><li>Monitor and troubleshoot data pipelines, Lakehouse environments, and reporting solutions.</li><li>Support data governance initiatives by improving data quality and consistency.</li><li>Implement scalable, reusable solutions following CI/CD and best practices.</li></ul>
2026-07-22T00:00:00Z

Data Engineer

Arlington, VA
onsite
Permanent / Full Time
150000 - 190000 USD / Yearly
We are looking for a Data Engineer to join a team building dependable, scalable data solutions in Arlington, Virginia. This role focuses on designing modern data pipelines, improving the reliability of data platforms, and supporting analytics and operational needs across the business. The ideal candidate brings strong engineering depth, experience with cloud-based data ecosystems, and the ability to work closely with cross-functional partners to deliver high-quality data products. Responsibilities: • Design, build, and maintain scalable data pipelines and processing workflows that support reliable access to business-critical data. • Develop reusable data platforms and automation solutions that improve the efficiency, consistency, and performance of data operations. • Produce clear, maintainable, and well-documented code for data integration, transformation, and platform services. • Establish automated validation and testing practices to monitor accuracy, completeness, and overall data quality. • Partner with architects, product leaders, data scientists, and DevOps teams to deliver resilient data systems aligned with technical and business goals. • Assess new data sources, determine their value and fit, and implement effective ingestion approaches. • Deploy and integrate data management capabilities within enterprise or client environments while meeting operational requirements. • Strengthen data protection and continuity by identifying risks, supporting backup strategies, and contributing to recovery planning. • Build and support data storage solutions such as warehouses, lakes, and operational repositories for reporting and advanced analytics.
2026-07-20T00:00:00Z

Data Engineer

Wood Dale, IL
onsite
Temporary to Hire
47.5 - 55 USD / Hourly
We are looking for a Data Engineer to help shape and scale a modern cloud-based data environment in Wood Dale, Illinois. This contract opportunity with potential for a permanent role is ideal for someone who enjoys creating reliable data solutions from the ground up and turning disconnected information into trusted reporting assets. You will work closely with business and technical partners to build a strong data foundation that improves visibility, consistency, and decision-making. The role offers a hands-on chance to define standards, streamline data delivery, and support long-term scalability in a collaborative team setting. Responsibilities: • Create and refine scalable data models and curated datasets within BigQuery to support accurate analysis and reporting. • Build, manage, and optimize ETL workflows and data pipelines that connect information from SaaS applications and other source systems. • Develop reporting-ready data structures and dashboards that provide clear, dependable insights for business users. • Establish data quality practices, documentation standards, and performance metrics to strengthen trust in enterprise reporting. • Collaborate with cross-functional stakeholders to translate reporting objectives into well-structured data solutions. • Automate repetitive data tasks through scripting and lightweight engineering approaches using tools such as Python. • Apply governance and maintainability best practices to improve how data is organized, accessed, and supported over time. • Contribute to modernization efforts by helping move data processes away from legacy workflows into scalable cloud-based platforms.
2026-07-24T00:00:00Z

Data Engineer

Conshohocken, PA
remote
Permanent / Full Time
100000 - 150000 USD / Yearly
We are looking for a Data Engineer to join a growing team in Conshohocken, Pennsylvania within the financial services industry. In this role, you will build and enhance modern data pipelines and warehouse structures that support reporting, analytics, and business decision-making. You will partner with technical and business teams to deliver reliable, well-governed data solutions using Python, Azure Synapse Analytics, and related cloud technologies. Responsibilities: • Build and support scalable data pipelines using Python, including PySpark, within Azure Synapse Analytics notebooks and pipeline workflows. • Design, load, and maintain warehouse structures in a massively parallel processing environment, applying dimensional modeling concepts such as facts and dimensions. • Ingest and transform data from a range of sources, including APIs, databases, and flat files, to create dependable datasets for downstream use. • Improve the efficiency and reliability of Azure Synapse processes by tuning queries, refining workloads, and addressing performance constraints. • Partner with data architects, analysts, and other stakeholders to translate business needs into practical data models and engineering solutions. • Establish validation routines and data quality controls to promote completeness, consistency, and accuracy across datasets. • Monitor scheduled jobs and pipeline activity, troubleshoot failures, and implement corrective actions to maintain service levels. • Document data flows, transformation logic, technical configurations, and operating procedures to support maintainability and knowledge sharing. • Apply security, privacy, and governance standards to data solutions while supporting broader data platform initiatives such as lakes, lakehouses, and cataloging practices.
2026-06-25T00:00:00Z

Data Engineer

Nashville, TN
onsite
Temporary / Contract
55 - 65 USD / Hourly
Robert Half is seeking a Contract Data Engineer to support our client’s data and analytics initiatives. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that enable efficient data ingestion, transformation, and delivery. The ideal candidate has strong experience working with modern data platforms, cloud environments, and large-scale datasets. Key Responsibilities:<ul><li>Data Pipeline Development: Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources.</li><li>Data Architecture: Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs.</li><li>Cloud Data Platforms: Work within cloud environments such as AWS, Azure, or GCP to deploy and manage data solutions.</li><li>Data Warehousing: Design and support enterprise data warehouses using platforms such as Snowflake, Redshift, BigQuery, or Azure Synapse.</li><li>Big Data Processing: Develop solutions using big data technologies such as Spark, Databricks, Kafka, and Hadoop when required.</li><li>Performance Optimization: Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency.</li><li>Data Quality & Reliability: Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability.</li><li>Collaboration: Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions.</li><li>Documentation: Maintain detailed documentation for pipelines, data flows, and system architecture.</li></ul>
2026-07-16T00:00:00Z

Data Engineer

Denver, CO
remote
Temporary / Contract
59.375 - 68.75 USD / Hourly
We are looking for an experienced Data Engineer to help shape and deliver Microsoft Fabric solutions that strengthen enterprise data, analytics, and reporting capabilities in Denver, Colorado. This Long-term Contract position will partner closely with business technology stakeholders to define scalable architecture, establish engineering standards, and improve the reliability of data platforms and reporting environments. The role requires hands-on expertise across Microsoft Fabric components, modern data integration approaches, and performance-focused design. You will also guide internal teams through best practices for governance, deployment, and operational readiness. Responsibilities: • Evaluate the current and planned Microsoft Fabric environment and identify effective architectural approaches for workspaces, storage, integration, and reporting solutions. • Create reusable data engineering frameworks for ingestion, transformation, and orchestration using Fabric pipelines, notebooks, Dataflows Gen2, Lakehouse structures, and Warehouse objects. • Plan connectivity and data movement strategies for enterprise applications, operational feeds, APIs, file-based inputs, and existing Microsoft or Azure data assets. • Define and recommend governance and security controls, including tenant configuration, workspace permissions, environment separation, sensitivity labeling, and lineage management. • Analyze capacity usage, workload distribution, refresh behavior, storage consumption, and query performance to improve scalability, cost efficiency, and platform stability. • Establish practical DevOps and release management standards for source control, deployment pipelines, environment promotion, documentation, and naming conventions across Fabric assets. • Develop monitoring guidance, operational metrics, alerting approaches, and support runbooks to assist with large-scale Fabric administration. • Lead knowledge-sharing sessions, technical walkthroughs, and documentation efforts so internal teams can effectively manage administration, engineering, governance, and Power BI-related activities.
2026-07-20T00:00:00Z

Data Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking a Data Engineer to build, maintain, and optimize scalable data pipelines and platforms. This role will support enterprise reporting, analytics, and business intelligence initiatives while ensuring high-quality, reliable data is available across the organization.Responsibilities<ul><li>Design and develop data pipelines and ETL processes</li><li>Integrate data from multiple internal and external sources</li><li>Maintain and optimize cloud and on-premise data platforms</li><li>Support data warehousing and reporting initiatives</li><li>Monitor data quality and resolve data integrity issues</li><li>Work closely with analysts, developers, and business teams</li></ul>
2026-07-24T00:00:00Z

Data Engineer

Minneapolis, MN
onsite
Temporary / Contract
57 - 66 USD / Hourly
Key ResponsibilitiesLeadership & Team Mentoring <ul><li>Lead, mentor, and develop a team of data engineers and BI developers.</li><li>Communicate business priorities, define goals, and establish clear KPIs to track performance and delivery.</li><li>Foster a collaborative and learning-oriented culture across technical and business functions.</li></ul>Data Engineering <ul><li>Design, build, and maintain scalable and efficient data pipelines and integrations across multiple internal and external systems.</li><li>Oversee ETL/ELT processes ensuring data accuracy, reliability, and timeliness.</li><li>Manage data models and data warehouse structures optimized for reporting, analytics, and advanced use cases (e.g., predictive modeling, machine learning).</li><li>Implement best practices in data architecture, automation, and version control (e.g., Git).</li></ul> Business Intelligence & Reporting<ul><li>Oversee the design and delivery of SSRS and Power BI dashboards, ensuring usability and alignment with business goals.</li><li>Establish and manage data visualization standards, reusable datasets, and semantic models for self-service analytics.</li><li>Collaborate with business stakeholders to gather requirements and translate them into technical specifications and BI solutions.</li></ul>
2026-07-21T00:00:00Z

Data Engineer

Madison, WI
onsite
Temporary to Hire
57 - 66 USD / Hourly
We are looking for an experienced Data Engineer to join a team in Madison, Wisconsin, in a contract capacity with the potential for a permanent role. This position will focus on building and optimizing modern data solutions that support scientific and business decision-making, with particular relevance to bioinformatics and life sciences data. The ideal candidate brings deep expertise in cloud-based data engineering, strong hands-on experience with Databricks and Azure, and the ability to collaborate effectively with technical and non-technical partners. Responsibilities: • Design, build, and maintain scalable data pipelines and integration workflows that support reporting, analytics, and downstream scientific applications. • Develop and optimize cloud-based data platforms using Databricks, Python, Spark, and Delta Lake to manage large and complex datasets efficiently. • Create and enhance data models, database objects, and processing logic within relational database environments to improve reliability and performance. • Implement data warehousing practices that enable trusted, organized, and accessible data for research and operational use. • Work with biological, genomic, and other omics data to support analysis, interpretation, and delivery of usable datasets for life sciences teams. • Partner with stakeholders across IT, research, and business functions to translate data needs into practical engineering solutions. • Apply strong analytical thinking to troubleshoot data issues, refine processes, and ensure alignment with scientific requirements. • Contribute within Agile delivery environments by participating in planning, iterative development, and cross-functional collaboration.
2026-07-20T00:00:00Z

Data Engineer

Westwood, CA
onsite
Temporary / Contract
115000 - 135000 USD / Yearly
Data EngineerLocation: Los Angeles, CaliforniaEmployment Type: Full-TimeRobert Half is seeking a Data Engineer for an exciting opportunity with a Los Angeles-based organization. This role is ideal for a mid-level professional with 5 to 7 years of experience building modern data solutions and supporting scalable analytics environments. The ideal candidate will have strong experience with cloud platforms, data pipeline development and performance optimization. Based on general knowledge.What You’ll Do<ul><li>Design, build and maintain scalable ETL/ELT pipelines. Based on general knowledge.</li><li>Integrate data from multiple sources to support reporting, analytics and business operations. Based on general knowledge.</li><li>Develop and optimize data models, workflows and warehouse structures. Based on general knowledge.</li><li>Support cloud-based data platforms and modern data architecture initiatives. Based on general knowledge.</li><li>Monitor data quality, troubleshoot issues and improve pipeline reliability. Based on general knowledge.</li><li>Collaborate with analysts, software engineers and business stakeholders to deliver data solutions. Based on general knowledge.</li><li>Help implement best practices for governance, security and operational efficiency. Based on general knowledge.</li></ul>
2026-07-17T00:00:00Z

Lead Data Architect

Middleton, WI
remote
Temporary / Contract
75 - 100 USD / Hourly
We are seeking a Lead Data Architect with deep expertise in digital commerce, product data architecture, and Adobe Commerce to lead the evolution of an enterprise product data ecosystem. This role is ideal for someone who thrives at the intersection of product information, commerce architecture, and data governance. You will own the technical architecture for customer-facing product data, helping define how product information is modeled, governed, and delivered across digital commerce platforms. The ideal candidate brings a strong background in **Product Content Management (PCM), Product Information Management (PIM), Adobe Commerce, and enterprise data architecture**, with the ability to improve existing solutions while designing a scalable future-state architecture. Responsibilities* Lead the architecture and strategy for customer-facing product data across digital commerce platforms.* Serve as the technical owner for Product Content Management (PCM) and Adobe Commerce architecture.* Design scalable product data models that support configurable products, product variants, bundles, kits, and complex product relationships.* Partner with Data Governance teams to improve data quality, stewardship, ownership, and consistency.* Define and optimize integrations between Adobe Commerce, ERP systems, PIM platforms, and content management systems.* Evaluate existing commerce architecture, identify gaps, and develop practical solutions that build upon current investments.* Improve product data structures to support personalization, customer-facing experiences, and future digital capabilities.* Collaborate with business and technical stakeholders to establish governance standards and long-term architecture strategy.* Provide hands-on architecture leadership while guiding enterprise product data initiatives. **First 30 Days*** Assess the current product data architecture and identify data quality and integration gaps.* Document workarounds and prioritize improvements based on business value and technical risk.* Develop remediation recommendations for the highest-priority issues. **First 90 Days*** Define and socialize the target-state architecture.* Establish a clear vision for product data governance and digital commerce integration.* Influence enterprise PIM planning and architectural direction. **First 12 Months*** Deliver a more stable, governed, and scalable product data architecture.* Establish a well-defined integration strategy between digital commerce platforms and enterprise product data systems.* Remove key product data constraints that enable future digital commerce capabilities.
2026-07-24T00:00:00Z

Data Scientist

Atlanta, GA
onsite
Permanent / Full Time
120000 - 140000 USD / Yearly
We are looking for a Data Scientist to join a fast-moving IT consulting environment in Atlanta, Georgia. This role focuses on turning complex data into practical business insights, with a strong emphasis on forecasting, predictive modeling, and customer-focused problem solving. The ideal candidate combines advanced machine learning expertise with hands-on data preparation skills and can clearly explain how analytical work influences end users and business outcomes. Responsibilities: • Build, validate, and refine forecasting and predictive models using Python and modern machine learning frameworks for business-driven use cases. • Develop analytical solutions with tools such as scikit-learn, XGBoost, LightGBM, and time-series or deep learning methods based on project needs. • Use Databricks and Apache Spark to process large datasets efficiently and support scalable model development workflows. • Prepare, transform, and organize data by writing queries, performing ETL tasks, and improving data quality for downstream analysis. • Translate technical findings into clear recommendations for clients and stakeholders, emphasizing business impact and user experience. • Partner with customer-facing teams to define problem statements, shape data-driven approaches, and deliver actionable insights in a fast-paced setting. • Apply product thinking when designing models and analytical outputs to ensure solutions align with customer needs and practical use. • Contribute domain knowledge to projects involving retail or consumer goods data, helping tailor models to industry-specific patterns and challenges.
2026-07-17T00:00:00Z

Data Scientist

Irvine, CA
onsite
Temporary / Contract
35 - 40 USD / Hourly
We are looking for an experienced Sr Data Scientist to support data-driven initiatives for a long-term contract opportunity in Irvine, California. This role is ideal for someone who can translate complex information into practical insights, work across technical and business teams, and contribute to high-impact analytical solutions. The position calls for strong expertise in data analysis, database-focused development, and domain awareness related to healthcare or government-supported programs. Responsibilities: • Build and refine analytical models and data solutions that support business decisions and operational goals. • Partner with stakeholders to gather requirements, define data needs, and deliver clear reporting or predictive insights. • Develop, optimize, and maintain database queries, data pipelines, and structured datasets for analysis and reporting. • Evaluate large and complex data sources to identify trends, risks, and opportunities for process improvement. • Collaborate with distributed and offshore team members to coordinate deliverables and maintain project continuity. • Apply knowledge of healthcare-related programs such as TRICARE when interpreting data and shaping analytical outputs. • Support hiring or workforce-related analytics by organizing data, measuring outcomes, and presenting findings to leadership. • Document methodologies, assumptions, and technical processes to promote consistency and knowledge sharing. • Contribute to ongoing enhancements involving NIS-related data environments or connected systems as needed.
2026-07-13T00:00:00Z

Data Analyst

Erlanger, KY
onsite
Temporary / Contract
38 - 44 USD / Hourly
We are looking for a detail-focused Data Analyst to join a Long-term Contract assignment supporting technical data quality and material information management in northern Kentucky. In this role, you will help maintain accurate, standardized data for raw materials and packaging components so teams can move product development, supplier onboarding, and manufacturing activities forward efficiently. This position works closely with research, quality, procurement, operations, and master data partners to strengthen consistency across systems and improve the reliability of material records. This role will be onsite 4 days a week and 1 day remote. Must be comfortable working in a lab/plant manufacturing setting. Responsibilities:• Manage the collection, review, and entry of technical specifications for raw materials and packaging components within designated data and specification platforms.• Verify that material records are complete, accurate, and aligned with company standards, compliance expectations, and approved documentation.• Apply consistent naming structures, formatting rules, and data standards to improve usability across regional and enterprise systems.• Investigate missing, conflicting, or outdated information in material specifications and resolve issues through coordination with cross-functional stakeholders.• Maintain material master records and ensure proper connections between specification data, system entries, and related documentation.• Build, revise, and validate bills of materials to support production readiness, product updates, supplier changes, and ongoing improvement efforts.• Partner with master data, procurement, operations, and technical teams to enhance data governance practices and streamline data management processes.• Monitor assigned project activities and data deliverables to help keep timelines on track and support broader documentation standardization efforts.
2026-07-20T00:00:00Z

Data Analyst

Augusta, GA
remote
Permanent / Full Time
0 - 0 USD / Yearly
Robert Half is hiring! We are looking for a detail-oriented Data Analyst to join a SaaS organization. In this role, you will turn complex business and customer data into clear insights that support product, sales, marketing, and customer success decisions. You will help strengthen reporting accuracy, improve visibility into performance trends, and communicate findings in a way that guides action across both technical and non-technical teams. Responsibilities:• Gather, organize, and assess data from varied sources to maintain reliable, consistent information for analysis and reporting.• Build and refine dashboards, recurring reports, and performance metrics that help leaders track business results.• Examine trends in customer activity, product engagement, retention, and churn to uncover meaningful patterns and opportunities.• Collaborate with product stakeholders to measure feature usage and evaluate the business impact of product updates and releases.• Provide analytical support to sales and marketing teams by reviewing pipeline activity, conversion performance, acquisition costs, and campaign outcomes.• Partner with customer success teams to identify insights that can improve client satisfaction, loyalty, and long-term retention.• Conduct targeted analyses that address strategic questions and translate findings into practical recommendations.• Plan and track experiments and A/B tests to inform product and marketing decisions with data-driven evidence.• Maintain clear documentation for key metrics, reporting standards, data definitions, and analytics procedures.• Recommend and support enhancements to data quality, reporting automation, and analytics processes while presenting insights through effective visuals and summaries.
2026-07-13T00:00:00Z

Data Analyst

Philadelphia, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Analyst to support data-driven decision-making for healthcare operations in Philadelphia, Pennsylvania. This is a Contract position focused on transforming complex clinical and operational data into accurate, actionable insights across EHR and billing environments. The ideal candidate will work with modern cloud and database tools to improve reporting, data integrity, and integration processes in a healthcare setting. Responsibilities: • Analyze healthcare, operational, and billing data to identify trends, exceptions, and opportunities for process improvement. • Build, maintain, and optimize ETL workflows that move data across source systems, databases, and analytics platforms. • Use Azure Databricks, Databricks, and SQL-based tools to prepare datasets and support scalable reporting solutions. • Validate data accuracy and completeness by performing audits, reconciliation activities, and ongoing quality checks. • Integrate information from EHR and EMR platforms, including Epic-related systems, to support consistent downstream reporting. • Partner with business and technical stakeholders to define reporting needs and translate them into practical data solutions. • Create and maintain queries, datasets, and analytical outputs using Azure SQL Database, SSMS, and related technologies. • Support data processing activities across cloud environments, including AWS technologies, while following healthcare data standards. • Document data logic, transformation rules, and process steps to improve transparency and maintainability of analytics workflows.
2026-07-16T00:00:00Z

Data Analyst

South Portland, ME
remote
Temporary to Hire
23.75 - 25 USD / Hourly
We are looking for a Financial Analyst to join a project-focused team supporting reinsurance operations in Maine. This contract opportunity with permanent potential is ideal for someone who can evaluate reporting needs, uncover root causes behind data issues, and recommend more effective ways to deliver meaningful insights. The role blends analytical thinking with hands-on technical execution, with a strong emphasis on improving reporting, supporting financial accuracy, and building dependable data solutions. Responsibilities:• Analyze reporting requests to identify the true business need, investigate underlying data challenges, and design practical reporting solutions.• Redesign and enhance existing reports to improve usability, accuracy, and decision-making value for stakeholders.• Build and maintain recurring and ad hoc reports using tools such as Power BI, Excel, SQL, and DAX.• Develop and validate data feeds that support accrual processing and ensure accurate flow of information into the subledger.• Perform reconciliations and review output for completeness, consistency, and alignment with financial reporting requirements.• Support automation efforts related to accrual and reporting workflows to reduce manual effort and increase reliability.• Partner with accounting, data management, and business teams to translate operational needs into scalable data deliverables.• Apply reinsurance knowledge to interpret data correctly and ensure reporting reflects relevant business activity.
2026-07-23T00:00:00Z

Data Analyst

Saint Louis, MO
onsite
Temporary / Contract
48 - 70 USD / Hourly
Robert Half is continuously seeking talented professionals who are ready to take the next step in their careers. This ongoing opportunity is ideal for individuals who want to stay connected with our team and be considered for current and upcoming roles that align with their skills, experience and career goals. If you are motivated, adaptable and eager to explore new possibilities, we encourage you to apply and start the conversation with our team. Key Responsibilities:· Collect, analyze, and interpret complex data sets utilizing advanced statistical methods and data visualization tools.· Generate business insights and present clear, actionable recommendations to stakeholders.· Develop and maintain dashboards and reports using tools such as Power BI, SQL, Excel, and others.· Collaborate cross-functionally with IT, Finance, Operations, and other business units to solve critical business challenges.· Identify trends, patterns, and opportunities for process improvements and new initiatives.
2026-07-15T00:00:00Z

Data Analyst

Omaha, NE
onsite
Temporary / Contract
20 - 23 USD / Hourly
We are looking for a detail-oriented Data Analyst to support a Contract assignment. In this role, you will examine service agreement records, validate critical data points, and help maintain accurate information across business systems. This position is ideal for someone with strong analytical skills who can work methodically, resolve inconsistencies, and uphold data quality standards throughout the project. Responsibilities:• Examine active and historical customer service agreements to confirm that records are complete, accurate, and aligned with source documentation.• Validate key contract elements such as coverage terms, effective and expiration dates, invoicing details, equipment information, and total contract value.• Cross-check data stored in business platforms against supporting files to detect mismatches, omissions, and other record discrepancies.• Apply approved updates to contract and customer information within Microsoft Dynamics 365 ERP and Microsoft Dynamics CRM systems.• Record exceptions clearly and route complex issues to management when review or decision-making is required.• Adhere to defined workflows and data governance standards to preserve consistency, traceability, and data integrity across all reviewed records.
2026-07-24T00:00:00Z

Data Analyst

Lakeville, MA
onsite
Temporary to Hire
23.75 - 27.5 USD / Hourly
We are looking for a Data Administrator to join our team in a contract role with the potential to become permanent. This opportunity is well suited for an early-career candidate with at least one year of post-graduate experience who enjoys working with data, spotting irregular patterns, and supporting fraud-related analysis. The position follows a 2 day a week hybrid schedule with in-office collaboration Responsibilities:• Review operational and analytical data sets to identify anomalies, trends, and indicators related to suspected fraudulent activity.• Monitor routine data processes with accuracy and consistency, ensuring issues are flagged quickly and escalated when needed.• Support fraud analysis efforts by examining patterns, validating findings, and helping improve visibility into risk areas.• Investigate data discrepancies and partner with internal stakeholders to resolve errors affecting reporting or operations.• Maintain data quality across reports, tracking tools, and internal systems used for analysis and decision-making.• Prepare clear summaries of findings and communicate insights that help teams respond to anti-fraud concerns effectively.• Assist with updates to workflows, reporting methods, or system-related processes as business needs evolve.• Contribute to a growing team environment by taking on new responsibilities over time and supporting continuous improvement initiatives.
2026-07-13T00:00:00Z