280 Results for Data Engineer Jobs

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Data Engineer

Philadelphia, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for an experienced Data Engineer to support the design and delivery of scalable data solutions within the People and HR data domain in Philadelphia, Pennsylvania. This Long-term Contract position is ideal for someone who can step into an existing environment, learn source systems quickly, and build reliable data pipelines that support reporting and business analysis. The role centers on hands-on development using Azure Databricks, Spark, and Azure Data Factory, with an emphasis on creating production-ready data assets. Experience working with HR data and workforce-related systems will be highly valuable in helping translate business needs into dependable engineering solutions. Responsibilities: • Design, build, and maintain data pipelines that ingest, transform, and prepare HR and workforce data for downstream analytics and reporting. • Develop scalable data processing solutions using Azure Databricks, Python, Spark, and SQL to support production-grade data products. • Orchestrate and monitor data workflows through Azure Data Factory to ensure timely, accurate, and resilient data movement. • Analyze existing data sources and business requirements to create efficient transformation logic and structured datasets. • Collaborate with stakeholders across technical and functional teams to align data engineering deliverables with HR reporting and operational needs. • Improve data quality, performance, and reliability by applying sound ETL practices, validation checks, and optimization techniques. • Support integration efforts involving HR systems and related interfaces, including work connected to evolving source platforms when needed. • Contribute to documentation, technical standards, and knowledge sharing to support maintainability and long-term solution success.
2026-10-16T00:00:00Z

Data Engineer

Norman, OK
remote
Temporary / Contract
0 - 0 USD / Yearly
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 infrastructure. What they will actually do▪ Own the storage and pipeline backlog across the ingestion and processing repositories▪ Event ordering and bitemporal modelling: separating event time from ingestion time, deterministic replay▪ Atomic snapshot publication with schema admission and rollback▪ Design the historical layer on object storage so it can be queried economically and answer as-of questions correctly — file format, partitioning, compaction, and whether the canonical layer moves onto a managed table format▪ Reconcile the operational database and the historical store so a point-in-time question returns one answer rather than two▪ Evidence immutability and retention: object-lock semantics, preventing overwrite of stored evidence, validated recovery paths▪ Pipeline durability: idempotent runs, completeness receipts, restore testing▪ Support production cutover in month 4 — this seat does not roll off early
2026-10-22T00:00:00Z

Data Engineer

Oklahoma City, OK
onsite
Permanent / Full Time
100000 - 125000 USD / Yearly
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. Responsibilities: • Design, develop, and maintain scalable data pipelines to support data integration and real-time processing.• Implement and manage data warehouse solutions, with a strong focus on Snowflake architecture and optimization.• Write efficient and effective scripts and tools using Python to automate workflows and enhance data processing capabilities.• Work with SQL Server to design, query, and optimize relational databases in support of analytics and reporting needs.• Monitor and troubleshoot data pipelines, resolving any performance or reliability issues.• Ensure data quality, governance, and integrity by implementing and enforcing best practices.
2026-10-22T00:00:00Z

Data Engineer

Houston, TX
onsite
Permanent / Full Time
110000 - 130000 USD / Yearly
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. Responsibilities: • Develop and maintain structured data models, including staging layers, reporting tables, and dimensional designs within the Azure-based data warehouse environment. • Create and support Power BI semantic models, calculated measures, security configurations, dashboards, and reports used for operational and enterprise reporting. • Monitor scheduled data workflows and dataset refresh activity, investigate processing issues, and resolve failures to keep reporting available and accurate. • Adjust and enhance existing ETL and orchestration processes as business needs evolve, using tools such as Azure Data Factory and related Microsoft data platforms. • Collaborate with stakeholders across functions to translate reporting needs, financial logic, and operational rules into dependable analytical solutions. • Produce clear technical and business documentation covering model design, metric definitions, transformation logic, and data ownership. • Apply and help refine development standards for naming, modeling approach, query design, and reporting structure to improve consistency and quality. • Identify opportunities to streamline current data practices, improve performance, and introduce effective tools or methods that strengthen analytics capabilities.
2026-10-05T00:00:00Z

Data Engineer

Milwaukee, WI
onsite
Permanent / Full Time
75000 - 90000 USD / Yearly
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. Local candidates to the Greater Milwaukee area with Healthcare Epic experience is desired. Responsibilities:• Create and maintain dashboards, scorecards, and recurring reports that combine Epic data with financial and operational information from connected platforms.• Work with leaders across finance, operations, and clinical teams to define measurable indicators and track performance in patient services, revenue activity, and resource use.• Gather, clean, and evaluate large datasets to support forecasting, monthly business reviews, and long-range planning initiatives.• Present findings in a clear, business-focused format so non-technical stakeholders can understand trends, risks, and opportunities.• Collaborate with IT and data governance partners to uphold data accuracy, reporting consistency, and compliance with organizational standards.• Identify patterns in clinical and administrative workflows and recommend improvements that increase efficiency and support better decision-making.• Contribute to reporting automation and process enhancements that improve speed, reliability, and access to timely performance data.
2026-10-20T00:00:00Z

Data Engineer

Oskaloosa, IA
onsite
Permanent / Full Time
0 - 0 USD / Yearly
Position: Data Engineer Location: Oskaloosa, IA / Des Moines, IA -- Onsite Salary: $100,000 - $120,000 base + exceptional benefits *** For immediate and confidential consideration, please APPLY and EMAIL YOUR RESUME to MEREDITH CARLE . My email can be found on my LinkedIn page. *** Data Engineer Shape the Future of Enterprise Analytics, AI & Data Innovation 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? 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. This role is ideal for someone who enjoys being hands-on, partnering with the business, and building modern data solutions that drive meaningful outcomes. What You'll Do • Design and develop scalable data models, semantic layers, and enterprise data solutions • Build trusted data structures that support analytics, reporting, AI, and business intelligence initiatives • Develop and optimize cloud-based data pipelines and integrations • Improve data governance, lineage, metadata management, and observability practices • Create automated data quality and validation frameworks • Implement CI/CD processes and modern DataOps best practices • Optimize SQL performance across warehouses, lakehouses, and reporting environments • Partner with analysts and business stakeholders to transform complex problems into actionable solutions • Contribute to technical standards, mentoring, documentation, and architectural best practices What We're Looking For Core Qualifications • Strong experience with data modeling and semantic modeling • Hands-on experience with Microsoft Fabric, Azure, and Power BI • Advanced SQL development and performance optimization skills • Experience with Git, CI/CD, and modern data engineering practices • Ability to translate business requirements into scalable technical solutions • Experience developing enterprise data pipelines and analytics platforms • A plus if you have data governance, data warehouse, data lake and or DBT experience. *** 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. ***
2026-10-13T00:00:00Z

Data Engineer

Seattle, WA
remote
Temporary / Contract
65 - 75 USD / Hourly
Robert Half is seeking an experienced Senior Data Engineer to support a law firm based in Seattle, Washington with the continued development and modernization of its enterprise data environment. This role will focus heavily on Databricks, dimensional modeling, PySpark, and Unity Catalog, with responsibility for ingesting, transforming, and preparing data from multiple enterprise systems for reporting and analytics. Duration: 6-month contractLocation: 100% Remote – preferred to work PST or CSTPay rate: $65-$75/hour (W2) Responsibilities<ul><li>Design, develop, and maintain scalable data pipelines and data models within Databricks.</li><li>Build and optimize dimensional data models to support enterprise reporting and analytics.</li><li>Develop data transformation and processing workflows using PySpark.</li><li>Ingest data from enterprise source systems, including Workday, Elite/Elite 3E, and Salesforce.</li><li>Move data through the Medallion Architecture, including Bronze, Silver, and Gold layers.</li><li>Clean, normalize, transform, and prepare source data for downstream analytics and reporting.</li><li>Utilize Unity Catalog to support data governance, security, organization, and access management.</li><li>Prepare curated datasets for consumption and reporting within Power BI.</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 APIs, Postman, firewall rules, and certificates.</li><li>Ensure data pipelines and models are scalable, reliable, and aligned with data engineering best practices.</li></ul>
2026-10-21T00:00:00Z

Database Engineer

Westlake, OH
onsite
Permanent / Full Time
70000 - 155000 USD / Yearly
We are looking for a skilled Database Engineer to join our team in Westlake, Ohio. In this role, you will design, implement, and optimize database solutions to support business operations and data-driven decision-making. You will collaborate with cross-functional teams and leverage advanced technologies to ensure robust database performance and scalability. Responsibilities: • Design and implement database solutions that align with business requirements and technical specifications. • Optimize and tune database performance to ensure efficiency and scalability. • Collaborate with cross-functional teams to analyze data needs and develop appropriate solutions. • Write, test, and troubleshoot complex SQL queries, including joins, aggregations, and stored procedures. • Monitor and maintain database systems, performing regular updates and performance checks. • Utilize source control and CI/CD tools, such as Azure DevOps, to manage database development and deployment. • Stay updated on emerging technologies and integrate new tools into existing systems as needed. • Provide technical guidance and support to team members regarding database-related issues. • Ensure data integrity and security through regular audits and implementation of best practices.
2026-10-01T00:00:00Z

Data Scientist

Houston, TX
onsite
Permanent / Full Time
140000 - 170000 USD / Yearly
We are looking for a Data Scientist to help strengthen turbine reliability and improve operational visibility across a power generation fleet in Houston, Texas. This position combines hands-on data preparation, advanced analytics, and business reporting to turn complex equipment and performance data into practical insights for engineering and leadership teams. The ideal candidate can move comfortably between developing dashboards, analyzing downtime patterns, and creating predictive tools that support maintenance and performance decisions. Responsibilities: • Create and enhance dashboard reporting that highlights fleet financial results, equipment availability, and the primary factors affecting cost and performance. • Convert operational and maintenance data into meaningful metrics and recurring reports for engineering teams, business partners, and leadership stakeholders. • Gather, organize, and refine downtime, outage, and maintenance records from multiple operational sources and field documentation to support reliable analysis. • Evaluate failure and outage events to identify root causes and categorize trends across mechanical, electrical, controls, weather, and grid-related issues. • Build and maintain a dependable historical data set that supports querying, trend analysis, and long-term reliability reviews across the turbine fleet. • Design and implement statistical and machine learning models that anticipate downtime risk, detect component deterioration, and support earlier intervention. • Develop anomaly detection and early alert solutions using sensor and operating data such as vibration, temperature, pressure, and combustion-related measurements. • Partner with reliability, operations, engineering, and asset management teams to validate analytical findings, improve data pipelines, and recommend maintenance strategy adjustments based on observed trends. • Present technical conclusions and business implications clearly to both specialized and non-technical audiences, including management and leadership teams.
2026-10-05T00:00:00Z

Data Scientist

Sacramento, CA
onsite
Temporary / Contract
65 - 70 USD / Hourly
100% Onsite Role. We are looking for a Data Scientist to support advanced analytics and machine learning initiatives in Sacramento, California. This Long-term Contract position focuses on creating practical, production-ready solutions that improve operational decision-making, with an early emphasis on predictive maintenance and fleet performance in asset-heavy environments. The role works closely with business leaders and technical teams to turn complex data into reliable models, useful insights, and scalable AI capabilities. Must have experience in construction, mining, transportation, manufacturing, energy, or other asset-intensive industries Responsibilities:• Build, test, and implement machine learning and analytical models using operational, maintenance, and telemetry data to improve equipment reliability and reduce unexpected downtime.• Create pilot solutions with measurable success criteria, then develop high-performing concepts into stable model pipelines suitable for ongoing production use.• Convert analytical results into clear recommendations, dashboards, or decision-support outputs that help both technical teams and business stakeholders act with confidence.• Partner with data engineering teams to shape requirements for data intake, transformation, feature creation, and model delivery across the broader data environment.• Document methodologies, assumptions, dependencies, and performance results to support transparency, repeatability, and effective model governance.• Provide input on enterprise data architecture needs from a data science perspective, including dataset design, feature availability, experiment tracking, and model readiness.• Identify data limitations, quality concerns, and enrichment opportunities that could influence model accuracy or business value.• Work with cross-functional partners to define new analytics and AI opportunities and assess external tools or vendor-developed solutions when needed.
2026-10-16T00:00:00Z

Data Scientist

Bala Cynwyd, PA
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Scientist to join a healthcare-focused technology team in Bala Cynwyd, Pennsylvania on a Long-term Contract basis. This position will support predictive analytics initiatives tied to state programs, quality oversight, compliance monitoring, and risk evaluation. The role is well suited for someone who can work comfortably across technical analysis, stakeholder communication, and team guidance while using modern Microsoft-based data tools. Responsibilities: • Build and refine predictive models that support healthcare analytics, quality measurement, compliance assessment, and risk-related reporting. • Analyze complex datasets to uncover trends, generate actionable insights, and improve decision-making for program and operational stakeholders. • Create interactive dashboards and reporting solutions in Power BI to present findings in a clear and business-friendly format. • Use R, Python, SQL, and related tools to prepare data, perform statistical analysis, and develop repeatable analytical workflows. • Work within Azure and Microsoft-based data environments, including SQL Server and MySQL, to manage and access structured data sources. • Partner with analysts and business teams to translate technical results into practical recommendations for non-technical audiences. • Provide day-to-day guidance and informal leadership within a small analytics team, helping coordinate priorities and support best practices. • Contribute to data engineering and integration activities, including ETL processes and the use of tools such as Spark, Hadoop, and Kafka where needed. • Leverage approved AI tools such as Copilot to improve efficiency in analysis, documentation, and reporting tasks.
2026-10-22T00:00:00Z

Data Scientist

Dover, DE
remote
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a Data Scientist to support advanced data initiatives in Dover, Delaware. This Long-term Contract position focuses on building scalable data solutions, uncovering actionable insights, and helping stakeholders make informed decisions through reliable analysis. The ideal candidate brings strong technical depth across modern data platforms and is comfortable working with large, complex datasets in a collaborative environment. Responsibilities: • Design and maintain data pipelines that collect, transform, and prepare large datasets for analytical and operational use. • Develop statistical models and data-driven solutions that help identify trends, improve forecasting, and support business strategy. • Use Python and distributed processing tools to analyze high-volume data efficiently and produce meaningful recommendations. • Work with Spark and Hadoop-based environments to manage large-scale data processing and support advanced analytics workloads. • Integrate streaming and batch data from multiple sources, including Kafka, to ensure timely and accurate data availability. • Partner with cross-functional teams to translate business questions into analytical approaches, technical requirements, and measurable outcomes. • Build ETL workflows that improve data quality, consistency, and accessibility across reporting and analytical platforms. • Document methodologies, assumptions, and results clearly so that technical and non-technical stakeholders can understand key findings.
2026-10-21T00:00:00Z

Data Scientist

Los Angeles, CA
onsite
Permanent / Full Time
70000 - 90000 USD / Yearly
We are looking for a Data Scientist to join our clients pricing and analytics team. This role is ideal for someone early in their career who combines strong statistical thinking with an interest in insurance economics, especially in areas such as pricing, reserving, and telematics-driven analysis. You will partner closely with senior pricing and actuarial leaders, working across the full analytical lifecycle from raw data exploration to business-facing recommendations. The position offers broad exposure to how insurance performance is measured, explained, and improved through disciplined modeling and clear communication. Responsibilities:• Perform end-to-end analytical work that supports insurance rate reviews, including data preparation, trend evaluation, loss development analysis, and documentation used for regulatory support.• Develop, test, and refine pricing and telematics models using statistical and machine learning techniques, ensuring results are accurate, explainable, and suitable for business use.• Assist with reserving analysis by working with loss triangles, development patterns, and ultimate loss estimates that align actuarial findings with financial reporting.• Create and maintain recurring performance dashboards and reporting that track key indicators such as loss ratios, claim frequency, claim severity, and cohort behavior.• Investigate unusual shifts in portfolio performance, segment results, or customer retention trends, and translate findings into actionable insights for the broader team.• Write organized, reusable code and data workflows that support independent analysis while making it easy for others to review and build on your work.• Collaborate with pricing and actuarial stakeholders to gradually take ownership of increasingly complex analyses and modeling assignments as your experience grows.• Communicate analytical conclusions clearly in written materials and presentations for audiences that need business impact explained without technical detail.
2026-10-19T00:00:00Z

Data Scientist

Atlanta, GA
onsite
Temporary / Contract
65 - 75 USD / Hourly
For our client, we are seeking a Data Scientist to develop advanced analytics, predictive models, and machine learning solutions that support strategic business decisions. This individual will work with large datasets, identify meaningful patterns, and collaborate with technical and business teams to deliver actionable insights through statistical analysis, data modeling, and artificial intelligence.
2026-10-23T00:00:00Z

Data Engineer - Lead

Houston, TX
onsite
Permanent / Full Time
175000 - 225000 USD / Yearly
We are looking for an experienced Lead Data Engineer to oversee the design, implementation, and management of advanced data infrastructure in Houston, Texas. This role requires expertise in architecting scalable solutions, optimizing data pipelines, and ensuring data quality to support analytics, machine learning, and real-time processing. The ideal candidate will have a deep understanding of Lakehouse architecture and Medallion design principles to deliver robust and governed data solutions. Responsibilities: • Develop and implement scalable data pipelines to ingest, process, and store large datasets using tools such as Apache Spark, Hadoop, and Kafka. • Utilize cloud platforms like AWS or Azure to manage data storage and processing, leveraging services such as S3, Lambda, and Azure Data Lake. • Design and operationalize data architecture following Medallion patterns to ensure data usability and quality across Bronze, Silver, and Gold layers. • Build and optimize data models and storage solutions, including Databricks Lakehouses, to support analytical and operational needs. • Automate data workflows using tools like Apache Airflow and Fivetran to streamline integration and improve efficiency. • Lead initiatives to establish best practices in data management, facilitating knowledge sharing and collaboration across technical and business teams. • Collaborate with data scientists to provide infrastructure and tools for complex analytical models, using programming languages like Python or R. • Implement and enforce data governance policies, including encryption, masking, and access controls, within cloud environments. • Monitor and troubleshoot data pipelines for performance issues, applying tuning techniques to enhance throughput and reliability. • Stay updated with emerging technologies in data engineering and advocate for improvements to the organization's data systems.
2026-10-05T00:00:00Z

Data Warehouse Engineer

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
Our client is seeking a Data Warehouse Engineer to support the design, development, and optimization of modern enterprise data platforms. This position will play a key role in building scalable data solutions for reporting, analytics, and business intelligence initiatives.Responsibilities<ul><li>Design and develop ETL/ELT pipelines</li><li>Build and maintain enterprise data warehouses and data marts</li><li>Optimize SQL queries and data models for performance</li><li>Work with business stakeholders to deliver reporting solutions</li><li>Support Power BI, Tableau, or similar analytics platforms</li><li>Ensure data quality, integrity, and governance standards</li></ul>
2026-10-22T00:00:00Z

Data Engineer - Python/Snowflake

Houston, TX
onsite
Permanent / Full Time
110000 - 160000 USD / Yearly
Join a growing data engineering team supporting mission-critical analytics and business operations within the energy, commodities trading, oil & gas, or financial services sector. This role is focused on designing and supporting cloud-based data solutions using Python, Snowflake, and AWS, enabling scalable, reliable, and high-performance data platforms.You will work closely with business stakeholders, analysts, and engineering teams to build production-grade data pipelines, modernize legacy data environments, and deliver trusted datasets that support operational and strategic decision-making. Responsibilities<ul><li>Design, develop, and maintain scalable Python-based data pipelines that ingest, transform, and deliver data from internal and external sources.</li><li>Build and optimize data models within Snowflake, ensuring performance, scalability, and cost efficiency.</li><li>Develop ELT/ETL solutions leveraging cloud-native AWS services.</li><li>Create, monitor, and support batch and near real-time data integration workflows.</li><li>Work with structured, semi-structured, and time-series datasets from operational, trading, financial, and market data systems.</li><li>Modernize legacy data processes and migrate legacy database workloads into modern cloud architectures.</li><li>Implement data quality, reconciliation, monitoring, and alerting capabilities across the data platform.</li><li>Collaborate with analysts, traders, business users, and technology teams to deliver data solutions aligned with business objectives.</li><li>Participate in code reviews, testing, documentation, and deployment activities following engineering best practices.</li><li>Support production environments and troubleshoot data pipeline issues as needed.</li></ul>
2026-10-05T00:00:00Z

Data Analyst

Westerville, OH
onsite
Temporary to Hire
0 - 0 USD / Yearly
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. Responsibilities: • Evaluate revenue cycle and patient accounts data to uncover patterns, variances, and opportunities that influence operational and financial results. • Gather, clean, transform, and organize data from multiple sources to create consistent datasets for recurring analysis and reporting. • Design, update, and optimize dashboards, scorecards, and automated reports that improve visibility into key performance indicators. • Deliver ad hoc analyses for leadership, translating findings into practical recommendations that support timely decision-making. • Work with managers and business partners to investigate root causes of performance issues and quantify their impact on outcomes. • Present analytical findings through concise written summaries, visualizations, and verbal updates tailored to stakeholder needs. • Maintain clear documentation for data definitions, logic, methodologies, and reporting assets to support transparency and long-term usability. • Collaborate effectively across teams, share knowledge with colleagues, and help maintain workflow coverage when business needs require additional support.
2026-09-30T00:00:00Z

Data Analyst

Jacksonville, FL
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are seeking a Data Analyst with strong Azure and Power BI experience to help transform business data into actionable insights. This role will work closely with stakeholders to build reporting solutions, analyze trends, and support data-driven decision-making.Responsibilities<ul><li>Develop and maintain Power BI dashboards and reports</li><li>Analyze large datasets to identify trends, patterns, and business opportunities</li><li>Create and optimize SQL queries for reporting and analytics</li><li>Support data validation and data quality initiatives</li><li>Partner with business teams to gather reporting requirements</li><li>Build and maintain data models and KPI metrics</li><li>Leverage Azure data services to access and analyze enterprise data</li></ul>
2026-10-08T00:00:00Z

Data Analyst

De Pere, WI
onsite
Temporary / Contract
45 - 50 USD / Hourly
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
2026-10-21T00:00:00Z

Data Analyst

Cambridge, MA
remote
Temporary to Hire
35.625 - 41.25 USD / Hourly
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. Responsibilities: • Consolidate contract, procurement, finance, and usage information from multiple systems into organized datasets that support accurate tracking and reporting. • Review and cleanse existing records to improve data quality, identify gaps, and create a dependable foundation for renewal and vendor oversight activities. • Analyze upcoming contract expirations and renewal timelines to help the team prioritize actions and reduce reactive management of agreements. • Partner with sourcing leads, software asset management professionals, and vendor management stakeholders to evaluate vendor portfolios and support governance reviews. • Generate reports and spreadsheets that highlight contract status, vendor tiering, financial considerations, and lifecycle activity for decision-makers. • Extract and interpret information from platforms such as Coupa, ServiceNow, finance tools, and other contract repositories to build useful business insights. • Support vendor lifecycle and procure-to-pay analysis by identifying trends, tracking obligations, and improving visibility across active agreements. • Collaborate with internal teams and external vendors to validate contract details, resolve discrepancies, and maintain consistent records across systems.
2026-10-07T00:00:00Z

Data Analyst

Austin, TX
onsite
Temporary / Contract
52 - 56 USD / Hourly
Robert Half is actively partnering with an Austin-based client to identify a Data Analyst (contract). 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. This role is hybrid in Austin, Tx. Key Responsibilities:<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>
2026-10-12T00:00:00Z

Data Analyst

Nashville, TN
onsite
Temporary / Contract
38 - 42 USD / Hourly
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. Key Responsibilities:<ol><li>Data Collection and Analysis: Collect, clean, and analyze data from various sources to identify trends, patterns, and insights that inform business decisions.</li><li>Reporting: Create and maintain dashboards, reports, and visualizations that communicate findings to stakeholders in a clear and concise manner.</li><li>Data Validation: Ensure data integrity by conducting regular audits, validation, and quality checks.</li><li>Collaboration: Work closely with cross-functional teams to understand data requirements and provide insights that support strategic goals.</li><li>Data Modeling: Develop and maintain data models, forecasts, and simulations to support business planning and operations.</li><li>Trend Analysis: Monitor key performance indicators (KPIs) and analyze data trends to identify opportunities for improvement.</li><li>Documentation: Document data processes, methodologies, and findings to ensure transparency and reproducibility of results.</li><li>Ad Hoc Analysis: Provide ad hoc analysis and reporting support as needed to assist in decision-making processes.</li></ol>
2026-10-14T00:00:00Z

Data Analyst

Diamond Bar, CA
onsite
Temporary / Contract
71.25 - 82.5 USD / Hourly
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. Responsibilities: • Partner with business teams to gather reporting needs, clarify audience outreach objectives, and turn those needs into practical data solutions. • Develop and refine reports, datasets, and audience lists that help stakeholders measure performance and support business priorities. • Write and troubleshoot SQL queries across multiple tables, using joins and backend reporting techniques to extract accurate information. • Pull, validate, and organize data from platforms such as Salesforce and marketing-related systems to support analysis and campaign targeting. • Perform data validation checks and investigate quality issues to improve confidence in reporting outputs and audience segmentation. • Use advanced Excel functions, including PivotTables and lookup formulas, to analyze trends, reconcile data, and present findings clearly. • Build targeted audience segments and list selections based on defined business rules, data attributes, and outreach requirements. • Communicate proactively with cross-functional partners to provide status updates, resolve issues quickly, and ensure deliverables align with expectations.
2026-10-23T00:00:00Z

Data Analyst

Cambridge, MA
remote
Temporary to Hire
47.5 - 55 USD / Hourly
We are looking for a Data Analyst to join an education-focused organization in Cambridge, Massachusetts on a contract basis with the potential to become permanent. This role will help bring structure and visibility to contract and vendor information by turning fragmented data into clear, actionable insights. The person in this position will work closely with sourcing, software asset management, procurement, finance, and vendor partners to support renewal planning, vendor oversight, and operational decision-making. Responsibilities: • Consolidate contract, procurement, finance, and usage information from multiple systems into a reliable dataset that supports informed planning and reporting. • Review and cleanse vendor and contract records to improve data accuracy, consistency, and accessibility across the contract lifecycle. • Analyze upcoming renewal activity and build tracking methods that help the team manage deadlines, priorities, and follow-up actions more proactively. • Partner with sourcing leads, software asset management specialists, and vendor management stakeholders to support governance reviews and vendor segmentation efforts. • Extract and organize information from platforms such as Coupa, ServiceNow, finance applications, and spreadsheet-based workbooks for operational analysis. • Develop reports, summaries, and Excel-based analyses that highlight renewal status, spend patterns, contract risks, and vendor trends. • Support procure-to-pay and vendor lifecycle processes by identifying gaps in documentation, data alignment, and process visibility. • Collaborate with external vendors and internal business partners to validate contract details, resolve discrepancies, and improve record completeness.
2026-10-23T00:00:00Z

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