Add your latest resume to match with open positions.

205 results for Data Scientist jobs

Data Engineer

Denton, TX
onsite
Permanent / Full Time
100000 - 120000 USD / Yearly
Our client is looking for an experienced Data Governance Analyst to join their growing team. They need someone who can: Lead the development and implementation of data governance frameworks to support academic, administrative, and research data needs across the university system. Establish data stewardship roles and clarify data ownership for key institutional domains such as student information, financial aid, HR, research compliance, and finance. Create and enforce data policies, standards, and procedures to improve data quality, accuracy, accessibility, and security across campuses and departments. Ensure compliance with higher-ed regulatory and reporting requirements (e.g., FERPA, IPEDS, NCAA, state reporting), and coordinate with Legal, IT Security, and Institutional Compliance teams. Implement and optimize governance technology (data catalog, lineage, and quality tools) to support system-wide reporting, analytics, and decision support. Promote data literacy and provide training to faculty, staff, and administrators to enhance responsible and effective data use. Facilitate collaboration across academic units, administrative offices, and central IT to align governance efforts with institutional priorities and operational needs. Monitor data quality and governance KPIs, report progress to leadership, and drive continuous improvement to support strategic planning, accreditation, and institutional research initiatives. Expereince as a Data Governance analyst. They have a fragmented Data Governance framework in place, and the goal is for this person to unify it across the enterprise. The ideal candidate will be a data Governance Analyst looking for a more challenging opportunity to lead the implementation of Purview and advancing our data governance practices. Administration experience with Microsoft Purview or a similar tool like Collibra, Informatica, Databricks, Etc. This role will be assisting to connect Microsoft Fabric to Purview. Experience with Microsoft Purview is preferred. They have the Data Security layer of Purview implemented. This role will be working with the Microsoft partner implement the Data Governance layer (Unified Data Catalogue, Data Quality, Data Lineage, Data Health management.) See attached overview. Excellent communication skills. Someone who will lead change and help advance their DG practice. Get buy in from stakeholders.
2026-04-21T00:00:00Z

Data Engineer

Carmel, IN
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a skilled Data Engineer to join our team in Carmel, Indiana. In this long-term contract role, you will design, build, and optimize data pipelines and systems to support business needs. The ideal candidate will bring expertise in data engineering tools and frameworks, along with a passion for solving complex challenges. Responsibilities: • Develop and maintain robust data pipelines using modern frameworks and tools. • Implement ETL processes to ensure accurate and efficient data transformation. • Optimize data storage and retrieval systems for performance and scalability. • Collaborate with cross-functional teams to understand data requirements and deliver solutions. • Utilize Apache Spark and Hadoop for large-scale data processing. • Work with Databricks to streamline data workflows and enhance analytics. • Apply machine learning techniques using tools like scikit-learn and Pandas. • Integrate Kafka for real-time data streaming and processing. • Analyze and troubleshoot data-related issues to ensure system reliability. • Document processes and workflows to support future development and maintenance.
2026-04-15T00:00:00Z

Data Engineer

Grandville, MI
remote
Temporary to Hire
40 - 55 USD / Hourly
We are looking for a skilled Data Engineer to join our team in Wyoming, Michigan. This Contract to permanent role offers an exciting opportunity to design, manage, and optimize data architecture and engineering solutions across a dynamic healthcare organization. The ideal candidate will play a key role in ensuring efficient data governance and infrastructure performance while collaborating with cross-functional teams. Responsibilities: • Develop and maintain robust data architectures and frameworks, including relational and graph databases, to meet business objectives. • Create and manage data pipelines to extract, transform, and load data from various sources into data warehouses. • Ensure data governance policies are implemented and monitored, including retention and backup protocols. • Collaborate with teams across departments to translate business requirements into technical specifications. • Monitor and optimize the performance of data assets, identifying opportunities for improvement. • Design scalable and secure data solutions using cloud-based platforms like AWS and Microsoft Azure. • Implement advanced tools and technologies, such as AI, to enhance data analytics and processing capabilities. • Mentor and support team members by sharing technical expertise and providing guidance. • Establish key performance indicators (KPIs) to measure database performance and drive continuous improvement. • Stay up to date with emerging trends and advancements in data engineering and architecture.
2026-04-22T00:00:00Z

Data Engineer

Cleveland, OH
onsite
Permanent / Full Time
120000 - 130000 USD / Yearly
We are looking for an experienced Data Engineer to join our team in Cleveland, Ohio. In this role, you will design, implement, and optimize data solutions that support business intelligence and analytics needs. If you have a passion for working with cutting-edge technologies and thrive in a fast-paced environment, this opportunity is for you. Responsibilities:• Develop and refine data models to ensure optimal performance and scalability.• Design and implement data warehouse solutions for managing structured and unstructured data.• Create and maintain data integration processes to support analytics and data-driven applications.• Establish robust data quality and validation protocols to guarantee accuracy and consistency.• Collaborate with business intelligence teams and stakeholders to gather requirements and deliver tailored solutions.• Monitor and address issues within data pipelines, including performance bottlenecks and system errors.• Research and adopt emerging technologies and best practices to enhance data engineering capabilities.
2026-04-07T00:00:00Z

Data Engineer

Woodland Hills, CA
onsite
Permanent / Full Time
140000 - 170000 USD / Yearly
Data Engineer – CRM Integration (Hybrid in San Fernando Valley)Location: San Fernando Valley (Hybrid – 3x per week onsite)Compensation: $140K–$170K annual base salaryJob Type: Full Time, PermanentOverview:Join our growing technology team as a Data Engineer with a focus on CRM data integration. This permanent role will play a key part in supporting analytics and business intelligence across our organization. The position offers a collaborative hybrid environment and highly competitive compensation.Responsibilities:<ul><li>Design, develop, and optimize data pipelines and workflows integrating multiple CRM systems (Salesforce, Dynamics, HubSpot, Netsuite, or similar).</li><li>Build and maintain scalable data architectures for analytics and reporting.</li><li>Manage and advance CRM data integrations, including real-time and batch processing solutions.</li><li>Deploy ML models, automate workflows, and support model serving using Azure Databricks (ML Flow experience preferred).</li><li>Utilize Azure Synapse Analytics & Pipelines for high-volume data management.</li><li>Write advanced Python and Spark SQL code for ETL, transformation, and analytics.</li><li>Collaborate with BI and analytics teams to deliver actionable insights using PowerBI.</li><li>Support streaming solutions with technologies like Kafka, Event Hubs, and Spark Streaming.</li></ul>
2026-04-03T00:00:00Z

Data Engineer

Charlotte, NC
remote
Permanent / Full Time
0 - 0 USD / Yearly
<ul><li>Design, develop, and optimize data pipelines using Azure Data Services (Azure Data Factory, Azure Data Lake Storage, Azure Synapse).</li><li>Build and maintain scalable ETL/ELT workflows using Databricks (Spark, PySpark, Delta Lake).</li><li>Implement and manage data orchestration and dependency management using Dagster or similar tools.</li><li>Partner with analytics, data science, and product teams to ensure reliable, high-quality data availability.</li><li>Optimize data models and storage strategies for performance, scalability, and cost efficiency.</li><li>Ensure data quality, observability, and reliability through monitoring, logging, and automated validation.</li><li>Support CI/CD pipelines and infrastructure-as-code practices for data platforms.</li><li>Enforce data security, governance, and compliance best practices within Azure.</li></ul>
2026-04-22T00:00:00Z

Data Engineer

Houston, TX
onsite
Temporary / Contract
66.5 - 77 USD / Hourly
We are looking for a skilled Data Engineer to join our team on a long-term contract basis in Houston, Texas. In this role, you will design, build, and manage data pipelines and systems to support business operations and decision-making processes. This position offers an exciting opportunity to work with cutting-edge technologies within the energy and natural resources sector. Responsibilities: • Develop and maintain scalable data pipelines to efficiently process large volumes of data. • Collaborate with cross-functional teams to gather requirements and design data solutions that meet business needs. • Implement and optimize ETL processes to ensure the accuracy and reliability of data flows. • Utilize technologies such as Apache Spark, Hadoop, and Kafka to manage and process data streams. • Monitor and troubleshoot data systems to ensure optimal performance and reliability. • Perform data integration from multiple sources to create unified datasets for analysis. • Ensure data security and compliance with organizational and industry standards. • Continuously evaluate and adopt new tools and technologies to enhance data engineering practices. • Provide technical guidance and mentorship to entry-level team members as needed.
2026-04-14T00:00:00Z

Data Engineer

Memphis, TN
onsite
Permanent / Full Time
100000 - 120000 USD / Yearly
We are supporting our client in hiring a Product Data Engineer who will take full ownership of their product information environment. This role centers on managing their PIM solution (Salsify), improving data structures, and building automated, API‑driven integrations that ensure product data is clean, scalable, and synchronized across platforms.This position will be deeply involved in a major product‑data overhaul, including cleanup, restructuring, and long‑term system improvements. The ideal candidate is someone who enjoys solving data problems, building automated workflows, and improving the reliability of product information across systems. Key ResponsibilitiesProduct Data Platform Ownership<ul><li>Act as the primary administrator for the PIM platform</li><li>Define and maintain product attributes, hierarchies, and data relationships</li><li>Create validation rules, formulas, and workflows to enforce data standards</li><li>Manage permissions, governance, and platform configuration</li><li>Troubleshoot issues related to imports, exports, and publishing</li></ul>Integrations & Automation<ul><li>Manage integrations between the PIM and internal/external systems (eCommerce, retail, etc.)</li><li>Build and support API‑based data flows with a focus on reliability and scale</li><li>Develop automation using scripting (Python preferred)</li><li>Support event‑driven or automated pipelines to reduce manual work</li><li>Monitor integration performance and proactively resolve failures</li></ul>Product Data Improvements<ul><li>Contribute to a large‑scale product data cleanup and restructuring effort</li><li>Identify gaps in current data models and workflows</li><li>Partner with cross‑functional teams to define scalable data standards</li><li>Improve system design to support long‑term growth</li></ul>Channel Syndication<ul><li>Manage product data distribution to digital and retail channels</li><li>Ensure data meets channel‑specific requirements</li><li>Troubleshoot publishing issues and improve success rates</li><li>Support product launches and updates across channels</li></ul>Data Governance & Quality<ul><li>Establish naming conventions, validation rules, and governance standards</li><li>Define and track data quality KPIs (accuracy, completeness, timeliness)</li><li>Utilize or support data governance tools</li><li>Work with business teams to improve data accountability</li></ul>Reporting & Metrics<ul><li>Build dashboards and reports on data quality and system performance</li><li>Provide insights to leadership to support decision‑making</li><li>Track syndication outcomes and operational metrics</li></ul>Operational Support<ul><li>Handle day‑to‑day platform usage, enhancements, and issue resolution</li><li>Prioritize incoming requests and tickets</li><li>Ensure stability and reliability of product data operations</li></ul>
2026-04-21T00:00:00Z

Data Engineer

Oklahoma City, OK
onsite
Permanent / Full Time
100000 - 125000 USD / Yearly
A Manufacturing and distribution company is looking for a Data Engineer with 3 + yeasr of experience to join a dynamic team in Oklahoma City, Oklahoma. In this role, you will play a crucial part in designing and maintaining 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. 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 practice
2026-04-17T00:00:00Z

Data Engineer

Houston, TX
onsite
Temporary to Hire
0 - 0 USD / Yearly
We are looking for a skilled Data Engineer to join our team in Houston, Texas. This contract position offers an exciting opportunity to leverage your expertise in data processing and analytics within the dynamic energy and natural resources industry. You will play a pivotal role in designing, implementing, and optimizing data solutions to support critical business operations. Responsibilities: • Develop and maintain scalable data pipelines using Apache Spark, Python, and ETL processes. • Design and implement data storage solutions utilizing Apache Hadoop for efficient data management. • Build real-time data streaming architectures with Apache Kafka to support operational needs. • Optimize data workflows to ensure high performance and reliability across systems. • Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. • Perform data quality checks and validation to ensure accuracy and consistency of datasets. • Troubleshoot and resolve technical issues related to data processing and integration. • Document processes and workflows to ensure knowledge sharing and operational transparency. • Monitor and improve system performance, ensuring the infrastructure meets business demands.
2026-04-22T00:00:00Z

Data Engineer

Houston, TX
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a skilled Data Engineer to join our team in Houston, Texas. This long-term contract position offers an exciting opportunity to work in the manufacturing industry, leveraging your expertise in data processing and engineering. You will play a pivotal role in designing, implementing, and optimizing data solutions to support critical business operations. Responsibilities: • Develop and maintain scalable data pipelines using tools such as Apache Spark and Python. • Design efficient ETL processes to extract, transform, and load data from various sources. • Collaborate with cross-functional teams to understand data requirements and deliver actionable insights. • Implement and manage big data solutions using Apache Hadoop and Apache Kafka. • Monitor and optimize the performance of data systems to ensure reliability and scalability. • Ensure data quality and integrity through rigorous testing and validation processes. • Troubleshoot and resolve issues related to data pipelines and infrastructure. • Maintain documentation for data workflows and processes to ensure clarity and consistency. • Stay updated on emerging technologies and best practices in data engineering to continuously improve systems.
2026-04-22T00:00:00Z

Data Analyst

Houston, TX
onsite
Temporary / Contract
48 - 53 USD / Hourly
Data Analyst – Enterprise Data & MetadataLocation: Houston, TX 77002Work Arrangement: OnsiteSchedule: 1st Shift, 9:00 AM – 5:00 PM Position Overview We are seeking a Data Analyst to support enterprise data initiatives with a strong focus on data understanding, data mapping, and metadata management. This role partners closely with business stakeholders, data engineers, and architects to document data flows, define source‑to‑target mappings, and curate high‑quality metadata using Atlan with Snowflake as the core data platform.The ideal candidate is detail‑oriented, analytically strong, and excels at translating complex data structures into clear, trusted documentation. Success in this role directly improves data transparency, governance readiness, and self‑service analytics across the organization. Key ResponsibilitiesData Mapping & Documentation<ul><li>Create and maintain source‑to‑target mappings, data flow diagrams, and transformation logic for Snowflake data assets.</li><li>Analyze source systems and Snowflake tables to document lineage, relationships, and dependencies.</li><li>Partner with data engineers and architects to validate mappings and align with Snowflake data models.</li></ul>Metadata Management & Atlan<ul><li>Publish and maintain data assets, schemas, tables, columns, and glossary terms in Atlan.</li><li>Document business definitions, ownership, freshness, and usage guidance.</li><li>Curate trusted data catalogs to support governance and self‑service discovery.</li><li>Ensure metadata accuracy, completeness, and consistency across platforms.</li></ul>Data Analysis & Validation<ul><li>Use Snowflake SQL to analyze datasets for completeness, structure, and quality.</li><li>Validate data transformations and downstream usage against documented mappings.</li><li>Support impact analysis by identifying affected assets using lineage and metadata.</li></ul>Collaboration & Enablement<ul><li>Act as a bridge between business, engineering, and governance teams.</li><li>Support governance, observability, and audit readiness through strong documentation.</li><li>Contribute to standards and best practices for enterprise data documentation.</li></ul>
2026-04-21T00:00:00Z

Data Analyst

Lyon Station, PA
onsite
Temporary / Contract
23.75 - 30 USD / Hourly
We are looking for a skilled Data Analyst to join our team on a long-term contract basis in Berks County, Pennsylvania. This role is ideal for someone who excels at interpreting data, identifying trends, and delivering actionable insights to support organizational goals. You will play a pivotal role in ensuring data accuracy and optimizing processes through advanced analysis techniques. Responsibilities:• Analyze complex datasets to identify trends, patterns, and insights that guide business decisions.• Perform accurate data entry tasks, ensuring the integrity of numeric information.• Develop and maintain Excel formulas to streamline data processing and reporting.• Generate detailed reports and dashboards tailored to organizational needs.• Collaborate with cross-functional teams to understand data requirements and provide solutions.• Ensure data accuracy and troubleshoot discrepancies in large datasets.• Provide actionable recommendations based on findings from data analysis.• Manage and organize datasets for easy retrieval and future use.• Monitor data workflows and suggest improvements to enhance efficiency.• Maintain confidentiality and security of sensitive information.If interested please send resume on a word dcoumnt to Jim.Kirk@Roberhalf com
2026-04-10T00:00:00Z

Data Analyst

Cleveland, OH
onsite
Permanent / Full Time
100000 - 125000 USD / Yearly
We are looking for an experienced Data Analyst to join our team in Cleveland, Ohio. In this role, you will leverage your expertise to design and optimize data solutions, ensuring the seamless integration and accuracy of information across various systems. This is an exciting opportunity to work with cutting-edge technologies and collaborate with diverse teams to drive data-driven decision-making. Responsibilities:• Develop and refine data models to enhance performance and operational efficiency.• Create data warehouse solutions to manage and access structured and unstructured data effectively.• Design, implement, and maintain data integration processes to support analytics and data-driven applications.• Establish and enforce data validation procedures to ensure the reliability and consistency of information.• Partner with business intelligence teams and other stakeholders to gather requirements and deliver tailored data solutions.• Diagnose and resolve issues within data pipelines, including performance bottlenecks and system errors.• Stay informed about advancements in data engineering and analytics to incorporate best practices into workflows.
2026-04-07T00:00:00Z

Data Analyst

Wilmington, DE
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for an experienced Data Analyst to join our team on a long-term contract basis in Wilmington, Delaware. In this role, you will play a pivotal part in designing and developing software solutions for both desktop and web applications. You will collaborate closely with business stakeholders to understand and document requirements, ensuring the delivery of robust and effective reporting and application solutions. Responsibilities: • Design and implement front-end and back-end software for complex desktop and web applications. • Collaborate with business users and management to identify, analyze, and document application and reporting requirements. • Develop stable and efficient solutions for Power BI reporting and application development projects. • Manage all stages of the software development lifecycle, including requirements gathering, design, coding, testing, deployment, and ongoing support. • Utilize best practices in software development and explore innovative solutions to meet business objectives. • Optimize database objects and ensure efficient data handling and retrieval. • Apply Agile methodologies to project management and software development tasks. • Create and maintain comprehensive documentation for business requirements and application designs. • Work independently and as part of a team to deliver high-quality results. • Support scheduled updates and releases with a focus on system stability and performance.
2026-04-06T00:00:00Z

Data Analyst

Madison, WI
onsite
Permanent / Full Time
70000 - 90000 USD / Yearly
Robert Half is seeking a detail-oriented Data Analyst for our partner in the Madison area. This role will support data quality, reporting, and governance initiatives within an enterprise ERP environment. This role focuses on maintaining accurate master data, improving data processes, and supporting reporting and analytics efforts across the organization. The ideal candidate enjoys working with data, identifying process improvements, and collaborating with stakeholders to ensure data is reliable, consistent, and actionable. This is a Direct/Permanent Hire role that will require an in-office work schedule (Mon-Fri). Key Responsibilities<ul><li>Monitor and maintain ERP master data to ensure accuracy, consistency, and completeness</li><li>Identify data quality issues such as duplicates, inconsistencies, and missing information and support remediation efforts</li><li>Partner with internal teams to support data cleansing, standardization, and data governance initiatives</li><li>Develop and maintain reports and dashboards to track data quality metrics and operational needs</li><li>Create and maintain documentation including data dictionaries and data definitions</li><li>Support ERP system initiatives including data validation, testing, and migration activities</li><li>Assist with adoption of data management standards, processes, and tools</li><li>Provide support to business users regarding data-related questions and reporting needs </li></ul>
2026-04-08T00:00:00Z

Data Analyst

Austin, TX
onsite
Temporary / Contract
55.83 - 80.33 USD / Hourly
Data AnalystOn-site | Austin, TX | Contract-to-Hire Responsibilities:<ul><li>Collect, clean, validate, and analyze large datasets to support business decision‑making</li><li>Develop and maintain reports, dashboards, and visualizations using BI tools</li><li>Analyze trends, patterns, and key performance indicators (KPIs) across business functions</li><li>Translate business requirements into data insights and actionable recommendations</li><li>Partner with stakeholders to understand data needs and define reporting solutions</li><li>Write and optimize SQL queries to extract and analyze data from multiple data sources</li><li>Ensure data accuracy, consistency, and integrity across reports and analyses</li><li>Document data definitions, metrics, and reporting processes</li><li>Support ad‑hoc analysis and executive reporting requests</li><li>Identify opportunities for process improvement through data‑driven insights</li></ul>
2026-04-07T00:00:00Z

Data Analyst

Saint Louis, MO
onsite
Temporary / Contract
48 - 70 USD / Hourly
Robert Half is seeking a results-driven Data Analyst for a dynamic organization in St. Louis, Missouri. If you have a passion for uncovering actionable insights, proficiency with advanced analytics tools, and enjoy collaborating to support business strategy, we want to hear from you. This opportunity offers the chance to join a team shaping the future of data-driven decision making. 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.
2026-04-17T00:00:00Z

Data Analyst

Avenel, NJ
onsite
Permanent / Full Time
80000 - 85000 USD / Yearly
We are looking for a skilled Data Analyst to join our team. In this role, you will transform complex datasets into actionable insights that drive business decisions. This position offers an exciting opportunity to collaborate with stakeholders while leveraging advanced tools and techniques to optimize data processes. Responsibilities:• Design, implement, and manage data pipelines and reporting systems to support strategic decision-making.• Develop and maintain interactive dashboards and reports using Power BI to monitor and visualize key metrics.• Utilize SQL to extract, transform, and analyze data from diverse sources, ensuring accuracy and consistency.• Create Python scripts to automate data workflows, perform analysis, and improve operational efficiency.• Partner with stakeholders to understand reporting requirements and translate them into effective technical solutions.• Conduct data quality assessments and establish validation protocols to ensure data reliability.• Document data processes, methodologies, and technical specifications for future reference.• Analyze datasets to uncover trends, patterns, and anomalies, providing actionable insights and recommendations.
2026-04-07T00:00:00Z

Data Analyst

Philadelphia, PA
onsite
Temporary / Contract
0 - 0 USD / Yearly
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. Responsibilities: • Conduct detailed data analyses to identify patterns of suspected fraud and anomalies in healthcare systems. • Develop and implement fraud detection models using advanced analytics tools and techniques. • Collaborate with cross-functional teams to investigate potential fraudulent activities and propose actionable solutions. • Utilize platforms such as Epics and Chartmaxx to extract and analyze data effectively. • Generate comprehensive reports and dashboards to present findings and support decision-making. • Monitor ongoing healthcare operations to ensure compliance with anti-fraud protocols. • Optimize data workflows and processes to enhance efficiency and accuracy. • Stay updated on industry trends and best practices in fraud analytics and healthcare data analysis. • Provide recommendations to improve system integrity and prevent future fraudulent activities.
2026-04-06T00:00:00Z

Data Analyst

Glendale, CA
onsite
Temporary / Contract
59.375 - 68.75 USD / Hourly
We are looking for a skilled Data Analyst to join our team on a long-term contract basis in Glendale, California. The ideal candidate will play a pivotal role in analyzing data to identify trends, detect fraudulent activity, and support decision-making processes. This position offers an excellent opportunity to work on meaningful projects while leveraging your expertise in fraud analytics and data investigation. Responsibilities:• Analyze large datasets to uncover patterns and anomalies that may indicate fraudulent activity.• Develop and implement fraud detection models and algorithms to enhance risk management.• Investigate suspicious transactions and activities to identify potential fraud cases.• Collaborate with cross-functional teams to design strategies for fraud prevention and mitigation.• Prepare detailed reports and visualizations to communicate findings to stakeholders clearly.• Monitor and refine anti-fraud systems based on emerging threats and trends.• Conduct research to stay informed about new fraud schemes and data analysis techniques.• Ensure data integrity and accuracy while working with sensitive information.• Provide actionable insights that help drive business decisions and improve operational efficiency.
2026-03-26T00:00:00Z

Data Analyst

Nashville, TN
onsite
Temporary / Contract
38 - 45 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>
2026-04-08T00:00:00Z

Data Analyst

Belgrade, ME
onsite
Temporary / Contract
0 - 0 USD / Yearly
We are looking for a highly skilled Data Analyst to join our team in Belgrade, Maine. This is a long-term contract position offering the opportunity to contribute to advanced data solutions and cloud-based projects. The role involves working with large-scale data migrations and developing modern data pipelines using cutting-edge technologies. Responsibilities: • Design and implement efficient data pipelines to ingest, transform, and deliver data across enterprise systems. • Develop and manage Azure-based Data Lakes and associated cloud data services. • Lead large-scale data migration projects from on-premise systems to Azure cloud environments. • Create scalable data models and curated datasets to support business intelligence and reporting. • Ensure data integrity, quality, governance, and security throughout all workflows. • Collaborate with technical and business teams to translate requirements into impactful data solutions. • Optimize data architectures to improve performance and scalability. • Support business intelligence platforms like Power BI by delivering curated datasets and analytics layers. • Monitor and troubleshoot data workflows to ensure seamless operations.
2026-04-01T00:00:00Z

Data Analyst

Minneapolis, MN
remote
Temporary / Contract
25 - 28 USD / Hourly
We are looking for an experienced Data Analyst to join our team on a long-term contract basis. This role is essential in ensuring the accuracy and integrity of client specialist data while maintaining high service standards. Based in Minneapolis, Minnesota, the position offers the opportunity to work remotely, collaborating across teams to deliver meaningful insights and solutions. Responsibilities: • Resolve data-related incidents by updating records and querying various data sources. • Apply specialist quality standards to maintain data integrity. • Validate data accuracy across multiple systems to ensure consistency. • Update client data based on specific requirements while adhering to service level agreements. • Configure software applications both before and after system go-live. • Collaborate with care organizations to gather and update data in alignment with requirements. • Provide support in managing data updates and ensuring the availability of accurate information. • Utilize advanced Excel formulas to standardize and compare data efficiently. • Foster effective communication with clients and stakeholders to address data needs and changes.
2026-04-01T00:00:00Z

Data Scientist II

San Ramon, CA
remote
Permanent / Full Time
119000 - 180000 USD / Yearly
Our client is seeking a Data Scientist II – Generative AI to join a cutting-edge team focused on building scalable, production-ready AI solutions that transform business workflows and deliver measurable impact across global operations. This role is ideal for professionals passionate about leveraging Generative AI technologies, creating intelligent agents, and driving innovation at scale. You will design and implement GenAI-powered agents that streamline internal processes, enhance productivity, and support business development initiatives. Responsibilities include developing robust prompt engineering frameworks, building RAG pipelines, and converting prototypes into production-ready solutions. You’ll collaborate closely with engineering and business teams to ensure solutions meet diverse client needs and are optimized for global deployment. Key projects include extending the company’s GPT platform, creating AI agents that improve efficiencies for RFP development, onboarding materials, and SOW requirements. Success in this role means quickly ramping up on backlog projects, delivering high-priority initiatives, and staying ahead of emerging GenAI frameworks to continuously advance internal AI capabilities.
2026-03-31T00:00:00Z

1 3