Search jobs now Find the right job type for you Explore how we help job seekers Contract talent Permanent talent Learn how we work with you Executive search Finance and Accounting Technology Marketing and Creative Legal Administrative and Customer Support Technology Risk, Audit and Compliance Finance and Accounting Digital, Marketing and Customer Experience Legal Operations Human Resources 2026 Salary Guide Demand for Skilled Talent Report Building Future-Forward Tech Teams Job Market Outlook Press Room Salary and hiring trends Adaptive working Competitive advantage Work/life balance Inclusion Browse jobs Find your next hire Our locations

Add your latest resume to match with open positions.

181 results for Data Architect jobs

Data Engineer
  • Washington, DC
  • onsite
  • Temporary
  • 60 - 75 USD / Hourly
  • <p>Since it’s 2026, the Data Engineering landscape in DC has shifted heavily toward <strong>Cloud-Native architectures</strong> and <strong>GenAI-ready pipelines</strong>. Robert Half typically recruits for both their internal corporate teams and their high-end consulting arm (Protiviti).</p><p>Here is a tailored job description based on current 2026 market standards and Robert Half’s specific hiring trends in the District.</p><p><br></p><p>Job Title: Data Engineer</p><p><strong>Location:</strong> Washington, DC (Hybrid – Downtown DC Office)</p><p><strong>Company:</strong> Robert Half </p><p><strong>Employment Type: </strong>Contract-to-Hire</p><p>Role Overview</p><p>As a Data Engineer at Robert Half, you will be the backbone of our data-driven decision-making process. You aren&#39;t just &quot;moving data&quot;; you are architecting the flow of information that powers our localized market analytics and global recruitment engines. In the DC market, this often involves handling high-compliance data environments and integrating cutting-edge AI frameworks into traditional ETL workflows.</p><p><br></p><p><br></p>
  • 2026-02-16T00:00:00Z
Data Engineer
  • Grandville, MI
  • remote
  • Contract / Temporary to Hire
  • 52.25 - 60.5 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.<br><br>Responsibilities:<br>• Develop and maintain robust data architectures and frameworks, including relational and graph databases, to meet business objectives.<br>• Create and manage data pipelines to extract, transform, and load data from various sources into data warehouses.<br>• Ensure data governance policies are implemented and monitored, including retention and backup protocols.<br>• Collaborate with teams across departments to translate business requirements into technical specifications.<br>• Monitor and optimize the performance of data assets, identifying opportunities for improvement.<br>• Design scalable and secure data solutions using cloud-based platforms like AWS and Microsoft Azure.<br>• Implement advanced tools and technologies, such as AI, to enhance data analytics and processing capabilities.<br>• Mentor and support team members by sharing technical expertise and providing guidance.<br>• Establish key performance indicators (KPIs) to measure database performance and drive continuous improvement.<br>• Stay up to date with emerging trends and advancements in data engineering and architecture.
  • 2026-03-02T00:00:00Z
Data Engineer
  • Jacksonville, FL
  • remote
  • Permanent
  • 120000 - 130000 USD / Yearly
  • We are looking for an experienced Data Engineer to join our team in Jacksonville, Florida. In this role, you will take the lead in designing and building a cutting-edge Azure lakehouse platform that enables business leaders to access analytics through natural language queries. This position combines hands-on technical expertise with leadership responsibilities, offering an opportunity to mentor a team of skilled engineers while driving innovation.<br><br>Responsibilities:<br>• Architect and develop a robust Azure lakehouse platform, utilizing Azure Data Lake Gen2, Delta Lake, and PySpark to create efficient data pipelines.<br>• Implement a semantic layer and metric store to ensure consistent data translation and definitions across the organization.<br>• Design and maintain real-time and batch data pipelines, incorporating medallion architecture, schema evolution, and data contracts.<br>• Build retrieval systems for large language models (LLMs) using Azure OpenAI and vectorized Delta tables to support chat-based analytics.<br>• Ensure data quality, lineage, and observability through tools like Great Expectations and Unity Catalog, while optimizing costs through partitioning and compaction.<br>• Develop automated systems for anomaly detection and alerting using Azure ML pipelines and Event Grid.<br>• Collaborate with product and operations teams to translate complex business questions into actionable data models and queries.<br>• Lead and mentor a team of data and Python engineers, establishing best practices in CI/CD, code reviews, and documentation.<br>• Ensure compliance with security, privacy, and governance standards by designing and implementing robust data handling protocols.
  • 2026-02-25T00:00:00Z
Data Engineer
  • Nashville, TN
  • onsite
  • Temporary
  • 60 - 70 USD / Hourly
  • <p>Robert Half is seeking a <strong>Contract Data Engineer</strong> 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.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li><strong>Data Pipeline Development:</strong> Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources.</li><li><strong>Data Architecture:</strong> Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs.</li><li><strong>Cloud Data Platforms:</strong> Work within cloud environments such as <strong>AWS, Azure, or GCP</strong> to deploy and manage data solutions.</li><li><strong>Data Warehousing:</strong> Design and support enterprise data warehouses using platforms such as <strong>Snowflake, Redshift, BigQuery, or Azure Synapse</strong>.</li><li><strong>Big Data Processing:</strong> Develop solutions using big data technologies such as <strong>Spark, Databricks, Kafka, and Hadoop</strong> when required.</li><li><strong>Performance Optimization:</strong> Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency.</li><li><strong>Data Quality &amp; Reliability:</strong> Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability.</li><li><strong>Collaboration:</strong> Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions.</li><li><strong>Documentation:</strong> Maintain detailed documentation for pipelines, data flows, and system architecture.</li></ul><p><br></p>
  • 2026-02-25T00:00:00Z
Data Engineer
  • Houston, TX
  • onsite
  • Temporary
  • 0 - 0 USD / Yearly
  • <p>Position Overview</p><p>We are seeking a talented <strong>Data Engineer</strong> with strong experience in <strong>Python, AWS, and Databricks</strong> to design and build scalable data pipelines and modern data platforms. The ideal candidate will help develop and maintain data infrastructure that supports analytics, machine learning, and business intelligence initiatives. This role requires hands-on experience working with large datasets, cloud-native architectures, and distributed data processing frameworks.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, build, and maintain <strong>scalable data pipelines and ETL/ELT workflows</strong> using Python and cloud technologies.</li><li>Develop and optimize data solutions using <strong>AWS services and Databricks</strong>.</li><li>Build and manage <strong>data lakes and data warehouses</strong> for structured and unstructured data.</li><li>Implement <strong>data transformation and processing pipelines</strong> using Apache Spark within Databricks.</li><li>Integrate data from multiple sources including APIs, databases, and streaming systems.</li><li>Ensure <strong>data quality, governance, security, and compliance</strong> across the data platform.</li><li>Monitor pipeline performance and troubleshoot <strong>data pipeline failures or latency issues</strong>.</li><li>Collaborate with <strong>data analysts, data scientists, and business stakeholders</strong> to deliver reliable datasets.</li><li>Optimize storage and compute costs within the AWS ecosystem.</li><li><br></li></ul><p><br></p>
  • 2026-03-09T00:00:00Z
Data Engineer
  • Houston, TX
  • onsite
  • Temporary
  • 0 - 0 USD / Yearly
  • <p>We are seeking a skilled <strong>Azure Data Engineer</strong> to design, build, and maintain scalable data solutions on the Microsoft Azure platform. The ideal candidate will have strong experience developing data pipelines, optimizing data architectures, and supporting analytics and business intelligence initiatives. This role will work closely with data analysts, data scientists, and business stakeholders to ensure reliable, high-quality data is available for reporting and advanced analytics.</p><p><br></p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain <strong>scalable data pipelines and ETL/ELT processes</strong> using Azure data services.</li><li>Build and manage data solutions using tools such as <strong>Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, and Azure Databricks</strong>.</li><li>Develop and optimize <strong>data models, transformations, and storage strategies</strong> for large-scale structured and unstructured datasets.</li><li>Ensure <strong>data quality, integrity, and security</strong> across the data platform.</li><li>Monitor and troubleshoot data workflows, pipeline failures, and performance issues.</li><li>Collaborate with data analysts, BI developers, and data scientists to deliver reliable datasets for reporting and analytics.</li><li>Implement <strong>data governance and best practices</strong> for data management and documentation.</li><li>Automate data processes and deployments using <strong>CI/CD pipelines and infrastructure-as-code practices</strong>.</li><li>Optimize cost and performance of Azure data services.</li><li>Stay current with new Azure features, tools, and industry best practices.</li></ul><p><br></p>
  • 2026-03-09T00:00:00Z
Data Engineer
  • Washington, DC
  • onsite
  • Temporary
  • 59.375 - 68.75 USD / Hourly
  • We are looking for a skilled Data Engineer to join our team in Washington, District of Columbia. In this role, you will play a key part in designing and implementing secure, scalable solutions to support data and analytics initiatives. This is a long-term contract position, offering the opportunity to work with cutting-edge technologies and contribute to impactful projects.<br><br>Responsibilities:<br>• Develop, test, and maintain robust data pipelines and engineering solutions to support analytics and integrate new data sources.<br>• Collaborate with team members, stakeholders, and external vendors to evaluate and implement reliable, scalable, and secure technologies.<br>• Create efficient, automated processes to handle repetitive data management tasks.<br>• Conduct targeted data manipulation and analysis across diverse datasets.<br>• Implement advanced security measures within data warehouses and analytics platforms to counter evolving threats.<br>• Document technical processes and solutions to ensure seamless collaboration and knowledge sharing.<br>• Monitor and optimize system performance to ensure scalability and reliability.<br>• Stay updated on emerging data engineering trends and incorporate them into workflows.
  • 2026-03-09T00:00:00Z
Data Engineer
  • Oklahoma City, OK
  • onsite
  • Permanent
  • 100000 - 125000 USD / Yearly
  • <p>We are looking for an experienced Data Engineer 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.</p><p><br></p><p> Responsibilities:</p><p> </p><p> • Design, develop, and maintain scalable data pipelines to support data integration and real-time processing.</p><p> • Implement and manage data warehouse solutions, with a strong focus on Snowflake architecture and optimization.</p><p> • Write efficient and effective scripts and tools using Python to automate workflows and enhance data processing capabilities.</p><p> • Work with SQL Server to design, query, and optimize relational databases in support of analytics and reporting needs.</p><p> • Monitor and troubleshoot data pipelines, resolving any performance or reliability issues.</p><p> • Ensure data quality, governance, and integrity by implementing and enforcing best practices.</p><p> </p><p><br></p>
  • 2026-03-09T00:00:00Z
Data Scientist
  • Edison, NJ
  • onsite
  • Contract / Temporary to Hire
  • 72.96 - 84.48 USD / Hourly
  • We are looking for a skilled Data Scientist to join our team on a contract with the potential for a permanent position in Edison, New Jersey. This hybrid role requires working on-site two days a week, collaborating with stakeholders to develop and implement AI-driven solutions. Ideal candidates will have expertise in data strategy, AI technologies, and tools such as Databricks and Informatica.<br><br>Responsibilities:<br>• Develop and implement AI-driven use cases that align with organizational goals and objectives.<br>• Design and optimize data strategies using platforms like Databricks and Informatica.<br>• Collaborate with cross-functional teams, including data engineers and business stakeholders, to create scalable AI/ML solutions.<br>• Evaluate and enhance data pipelines to ensure efficient deployment of AI models.<br>• Stay informed on the latest AI advancements and recommend innovative approaches to improve business operations.<br>• Provide guidance on data governance, ensuring adherence to best practices for data quality and security.<br>• Analyze business challenges and translate them into actionable AI solutions that drive results.<br>• Support the integration of advanced analytics frameworks into existing systems and processes.
  • 2026-02-18T00:00:00Z
Data Scientist
  • Philadelphia, PA
  • remote
  • Temporary
  • 0 - 0 USD / Yearly
  • We are looking for a highly skilled Data Scientist to contribute to a long-term contract position within the healthcare industry. This role focuses on supporting the enterprise-wide launch of Power BI by creating and delivering engaging, high-quality learning materials. The ideal candidate will work remotely, collaborating closely with leadership and subject matter experts to empower analytics and non-analytics professionals to efficiently use Power BI in their daily tasks.<br><br>Responsibilities:<br>• Develop scalable learning experiences tailored to diverse user personas and varying levels of technical expertise.<br>• Collaborate with the data literacy program team and Power BI specialists to ensure instructional content aligns with program objectives.<br>• Translate complex concepts related to Power BI and business intelligence into accessible and engaging educational materials.<br>• Design and deliver training programs using instructional design best practices and tools such as Camtasia, Adobe Creative Suite, or Articulate.<br>• Conduct user interviews to understand learning challenges and tailor content to meet specific needs.<br>• Enhance or create new data literacy resources, such as courses, modules, and curricula, to address emerging needs and best practices.<br>• Evaluate and adapt existing educational materials to make them sustainable and applicable across the organization.<br>• Participate in marketing efforts for the Data Literacy Program, including speaking engagements, blog posts, and other creative channels.<br>• Identify opportunities for new program initiatives that support analytics tools and data literacy.<br>• Serve as a subject matter expert in data literacy on national platforms through networking and conference participation.
  • 2026-03-04T00:00:00Z
Data Scientist
  • Miami, FL
  • onsite
  • Temporary
  • 0 - 0 USD / Yearly
  • <p><strong>Responsibilities:</strong></p><ul><li>Collect, process, and analyze large structured and unstructured datasets to identify meaningful trends, patterns, and opportunities for business improvement</li><li>Develop, test, and deploy predictive models, machine learning algorithms, and statistical analyses to address key business challenges </li><li>Collaborate with cross-functional teams, including business analysts, engineers, and stakeholders, to identify analytics solutions and align deliverables with strategic goals </li><li>Communicate complex findings and recommendations clearly to technical and non-technical audiences through reports, dashboards, and visualizations</li><li>Automate repetitive tasks, streamline data flows, and ensure data quality and governance throughout the analytics lifecycle</li><li>Stay updated on industry trends, emerging technologies, and best practices in data science and AI to continuously enhance solutions</li></ul><p><br></p>
  • 2026-02-17T00:00:00Z
Lead Data Architect/ Senior Data Modeler
  • Glendale, CA
  • onsite
  • Temporary
  • 90 - 100 USD / Hourly
  • <p><strong>Lead Data Architect / Senior Data Modeler</strong></p><p><strong>Location:</strong> Onsite in Burbank, CA (4 days/week, Mon–Thu)</p><p><strong>Team:</strong> Studio Technology – Data Services</p><p><br></p><p><strong>About the Role</strong></p><p>The Studio Technology group at Walt Disney Studios empowers filmmakers, analysts, and business partners with scalable, secure, and innovative data solutions. As part of the Data Services team, you will shape how the Studio builds, organizes, and delivers data — from financial systems to marketing analytics to consumer engagement products.</p><p>We are looking for a Lead Data Architect whose primary passion is data modeling and data architecture, not software architecture. This person lives and breathes semantic models, dimensional design, medallion-layer structuring, and data-as-a-product principles. The ideal candidate is doing this work hands-on today and has done it consistently in recent roles — this is their core craft, not an adjacent skill.</p><p><br></p><p><strong>What You’ll Do (Day-to-Day)</strong></p><p>● Partner with business stakeholders and product managers to understand data requirements and translate them into scalable data strategies and architecture.</p><p>● Design and own semantic models, dimensional models, entity definitions, and medallion-layer data structures (Bronze/Silver/Gold).</p><p>● Determine what gets built where and why, ensuring consistent modeling patterns across projects and data domains.</p><p>● Define and implement data-as-a-product approaches, including domain boundaries, ownership models, SLAs, and documentation standards.</p><p>● Work closely with data engineers to guide how assets should be built, structured, and optimized.</p><p>● Establish and maintain data standards, governance practices, naming conventions, and documentation for modeling and architecture.</p><p>● Provide technical leadership on data modeling best practices across teams, including coaching junior members.</p><p>● Evaluate modern data technologies and recommend tools that improve modeling consistency, performance, and quality.</p><p>● Collaborate with analytics, BI, and data science teams to design models that support reporting, ML/AI workloads, and cross-domain analytics.</p>
  • 2026-02-27T00:00:00Z
Database Analyst
  • Jersey City, NJ
  • onsite
  • Contract / Temporary to Hire
  • 47.5 - 55 USD / Hourly
  • We are looking for an experienced Database Analyst to join our team in Jersey City, New Jersey. This Contract-to-Permanent position offers an opportunity to make a significant impact by leveraging advanced analytics and statistical methodologies to optimize user experiences and drive product innovation. The ideal candidate will collaborate with cross-functional teams to deliver data-driven insights, guide experimentation strategies, and improve key business metrics.<br><br>Responsibilities:<br>• Conduct comprehensive analytical projects to identify opportunities and address challenges within the user journey.<br>• Serve as a strategic partner to product leaders by providing data-based recommendations to shape roadmaps and prioritize initiatives.<br>• Utilize advanced statistical methods, including regression analysis, Bayesian inference, and clustering, to derive actionable insights.<br>• Design and execute experimentation strategies, including A/B testing and quasi-experimental methods, to measure and enhance product performance.<br>• Develop predictive models to anticipate user behavior and assess long-term impacts on business outcomes.<br>• Create and maintain executive-level dashboards to monitor product KPIs and communicate findings effectively using visualization tools.<br>• Translate complex data analyses into clear, actionable recommendations for senior leadership.<br>• Mentor less experienced team members, fostering their skills in analytics, communication, and stakeholder engagement.<br>• Collaborate with engineering and UX teams to ensure alignment and integration of analytical solutions.
  • 2026-02-09T00:00:00Z
Data Analyst
  • Salem, VA
  • onsite
  • Temporary
  • 25 - 30 USD / Hourly
  • <p>Position Overview</p><p>We are seeking a highly detail‑oriented Environmental Data Specialist to support data accuracy, regulatory documentation, and compliance activities related to environmental and waste management operations. This role is essential for maintaining precise records, updating internal databases, ensuring regulatory alignment, and validating waste tracking information. Attention to detail is critical, and all submissions must include a basic typing/data entry test result for consideration.</p><p>Key Responsibilities</p><ul><li>Update internal databases and shared sites with new, recertified, or amended waste profile data</li><li>Upload and maintain current approvals, notifications, and treatment standards documentation</li><li>Conduct technical regulatory reviews of new, amended, and recertified waste profile data, including:</li><li>DOT compliance</li><li>RCRA Land Ban requirements</li><li>Internal consistency checks</li><li>Efficiently track and run reports, including those requiring advanced Excel knowledge</li><li>Validate shipment and waste tracking data to ensure accuracy and compliance</li><li>Support documentation, data entry, and administrative tasks related to environmental and regulatory workflows</li></ul>
  • 2026-02-19T00:00:00Z
Data Analyst
  • Miami, FL
  • onsite
  • Temporary
  • 26 - 34 USD / Hourly
  • <p>Our company is seeking a motivated Data Analyst with expertise in SQL to join our growing team. In this role, you will leverage your analytical skills to turn data into actionable insights, helping our organization make data-driven decisions. You will work closely with stakeholders across departments to define analysis needs, prepare and interpret datasets, and deliver meaningful reports and visualizations.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Extract, clean, and analyze large datasets using SQL.</li><li>Develop, optimize, and maintain SQL queries, scripts, and procedures for data extraction and reporting.</li><li>Produce insightful analysis, dashboards, and reports for cross-functional teams to support key business initiatives.</li><li>Work closely with business partners to understand requirements and translate them into analytical solutions.</li><li>Identify opportunities to improve data quality, processes, and reporting efficiency.</li><li>Present findings and recommendations to stakeholders in a clear and concise manner.</li><li>Stay current on best practices and recent advancements in data analytics and reporting tools</li></ul><p><br></p>
  • 2026-03-09T00:00:00Z
Data Analyst
  • Delray Beach, FL
  • onsite
  • Temporary
  • 0 - 0 USD / Yearly
  • <p>As a Business Data Analyst or Specialist you will be responsible for managing data retrieval and analysis within SCMHC</p><p>The position includes organizing data points, communicating between upper management and the IT department, and analyzing data to determine business needs</p><p>Become subject matter expert for the organization’s EMR/EHR (Credible Behavioral Health) and champions it’s adoption</p><p>Develops data solutions from multiple data sources / applications</p><p>Develops and manages data reporting for internal and external consumers</p><p>Daily, monthly, &amp; quarterly uploads/ Submits data as required</p><p>Ensure data is secure via proper access controls</p><p>Provides EMR/HER assistance and support to end-users</p><p>Organizes, implements and manages new hire as well as ongoing training for EMR/HER</p>
  • 2026-02-20T00:00:00Z
Data Analyst
  • Delray Beach, FL
  • onsite
  • Contract / Temporary to Hire
  • 0 - 0 USD / Yearly
  • We are looking for a skilled Data Analyst to join our team in Delray Beach, Florida, on a contract with the potential for long-term employment. In this role, you will bridge the gap between management and technology teams, ensuring data is organized, analyzed, and leveraged effectively to meet business needs. This position offers an opportunity to take ownership of data reporting processes and deliver solutions that drive organizational success.<br><br>Responsibilities:<br>• Retrieve, organize, and analyze data to support strategic business decisions.<br>• Serve as a subject matter expert on organizational data systems and promote their adoption across teams.<br>• Develop and implement data reporting solutions for internal and external stakeholders.<br>• Conduct daily, monthly, and quarterly data uploads and submissions as required.<br>• Maintain the security of organizational data by enforcing appropriate access controls.<br>• Provide assistance and support to end-users on data systems and tools.<br>• Lead onboarding training sessions and ongoing education initiatives related to data systems.<br>• Utilize Microsoft Access and other reporting tools to create insightful reports.<br>• Manage ad hoc reporting requests to address immediate business needs.<br>• Participate in meetings, training sessions, and other tasks as assigned by the supervisor.
  • 2026-02-11T00:00:00Z
Data Analyst
  • Delray Beach, FL
  • onsite
  • Contract / Temporary to Hire
  • 0 - 0 USD / Yearly
  • We are looking for a dedicated Data Analyst to join our team in Delray Beach, Florida. In this Contract to permanent position, you will play a vital role in ensuring the accuracy and consistency of data while driving operational efficiency and supporting organizational goals. This role requires a detail-oriented individual with strong analytical skills who can collaborate across departments and thrive in a dynamic environment.<br><br>Responsibilities:<br>• Gather, clean, and validate data from various sources to ensure consistency and reliability.<br>• Update and maintain databases, spreadsheets, and dashboards with a meticulous attention to detail.<br>• Support efforts related to data migration, integration, and quality assurance across systems.<br>• Generate timely and accurate reports in response to internal data requests.<br>• Identify and resolve data discrepancies by collaborating with relevant teams.<br>• Document data processes, workflows, and standards to ensure clarity and consistency.<br>• Partner with leadership to analyze data for insights that drive growth, efficiency, and impact.<br>• Conduct forecasting, trend analysis, and reporting to support decision-making.<br>• Develop donor segmentation strategies and analyze patterns to optimize fundraising efforts.<br>• Present data findings in clear and accessible formats suitable for diverse audiences.
  • 2026-02-27T00:00:00Z
Data Analyst
  • Nashville, TN
  • onsite
  • Temporary
  • 40 - 48 USD / Hourly
  • <p>Robert Half is seeking a Contract Data Analyst to join our client&#39;s team. As a Data Analyst, you will be responsible for collecting, processing, and analyzing data to provide actionable insights that support business decisions. This contract position offers an exciting opportunity to work with a dynamic team and help drive data-driven strategies for a respected organization.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ol><li><strong>Data Collection and Analysis:</strong> Collect, clean, and analyze data from various sources to identify trends, patterns, and insights that inform business decisions.</li><li><strong>Reporting:</strong> Create and maintain dashboards, reports, and visualizations that communicate findings to stakeholders in a clear and concise manner.</li><li><strong>Data Validation:</strong> Ensure data integrity by conducting regular audits, validation, and quality checks.</li><li><strong>Collaboration:</strong> Work closely with cross-functional teams to understand data requirements and provide insights that support strategic goals.</li><li><strong>Data Modeling:</strong> Develop and maintain data models, forecasts, and simulations to support business planning and operations.</li><li><strong>Trend Analysis:</strong> Monitor key performance indicators (KPIs) and analyze data trends to identify opportunities for improvement.</li><li><strong>Documentation:</strong> Document data processes, methodologies, and findings to ensure transparency and reproducibility of results.</li><li><strong>Ad Hoc Analysis:</strong> Provide ad hoc analysis and reporting support as needed to assist in decision-making processes.</li></ol><p><br></p>
  • 2026-02-25T00:00:00Z
Data Analyst
  • Irvine, CA
  • onsite
  • Permanent
  • 140000 - 170000 USD / Yearly
  • <p>We are looking for a skilled Revenue Operations Analyst to oversee the development and optimization of reporting and analytics across Sales, Marketing, and Customer Care teams. This role requires a strategic thinker who can transform data into actionable insights, standardize performance metrics, and enhance operational efficiency. Based in Irvine, California, this position offers the opportunity to lead data-driven initiatives that support organizational growth.</p><p><br></p><p>Responsibilities:</p><p>• Create and maintain dashboards and automated reports for Sales, Marketing, and Customer Care teams using Salesforce, Excel, and visualization tools.</p><p>• Define and implement standardized key performance indicators (KPIs) to measure and optimize the revenue cycle from lead generation to customer satisfaction.</p><p>• Conduct detailed analyses of sales funnel performance, conversion rates, and customer care trends to identify actionable insights.</p><p>• Act as a Salesforce expert, ensuring data accuracy, optimizing workflows, and developing advanced reports.</p><p>• Manage and mentor a team of two analysts, fostering their attention to detail and maintaining high-quality standards.</p><p>• Write and maintain queries to extract, transform, and analyze data from Salesforce and associated databases.</p><p>• Document data definitions, reporting logic, and business rules to ensure consistency and institutional knowledge.</p><p>• Identify inefficiencies in revenue processes and propose data-driven solutions for improvement.</p><p>• Provide historical data insights and predictive analysis to support campaign planning.</p><p>• Ensure compliance with industry regulations and internal standards in all data management and reporting activit</p>
  • 2026-03-03T00:00:00Z
Data Analyst
  • Fort Lauderdale, FL
  • onsite
  • Temporary
  • 25 - 32 USD / Hourly
  • <p>We are looking for an experienced Data Analyst to join our team on a long-term contract basis in Fort Lauderdale. In this role, you will use your analytical expertise to transform complex data into meaningful insights that drive strategic decision-making. Collaborating with various teams, you will play a key role in refining data processes and creating impactful reports to support our organizational goals.</p><p><br></p><p>Responsibilities:</p><p>• Extract, clean, and analyze large datasets to ensure reliable and accurate data insights.</p><p>• Design and optimize SQL queries, scripts, and procedures for efficient data retrieval and reporting.</p><p>• Create and maintain dashboards and reports that provide clear visualizations of key performance metrics.</p><p>• Collaborate with stakeholders to identify analysis needs and translate them into actionable solutions.</p><p>• Evaluate and enhance data quality, ensuring consistency and accuracy across all datasets.</p><p>• Present data findings and recommendations in a clear, concise manner to support business strategies.</p><p>• Partner with cross-functional teams to understand key business objectives and align data analysis efforts.</p><p>• Develop methods to improve reporting processes and streamline data workflows.</p>
  • 2026-03-09T00:00:00Z
Data Analyst
  • Philadelphia, PA
  • onsite
  • Temporary
  • 35 - 40 USD / Hourly
  • <p>Job Summary</p><p>We are seeking a motivated and analytical Data Analyst to support product quality, device performance, and customer experience improvements across a large consumer device ecosystem. In this role, you will help drive data‑informed decisions by analyzing telemetry, reliability KPIs, and customer satisfaction trends. You’ll collaborate closely with engineering, operations, and customer experience teams to ensure data accuracy, generate actionable insights, and support strategic initiatives that help enhance overall device reliability.</p><p>This role is ideal for someone who thrives in cross‑functional environments, enjoys solving complex problems, and can translate data into compelling, executive‑ready insights.</p><p><br></p><p>Key Responsibilities</p><ul><li>Analyze device performance data, reliability KPIs, telemetry metrics, and CSAT feedback to identify improvement opportunities.</li><li>Support key initiatives related to error tracking, ticket resolution trends, and release impact assessments.</li><li>Partner with stakeholders across engineering, operations, and customer experience to align priorities and ensure timely delivery of insights.</li><li>Create compelling presentations and executive‑level decks to communicate data findings and recommendations.</li><li>Participate in working groups tackling high‑impact reliability issues, contributing to root cause analysis and solution tracking.</li><li>Assist in expanding global data capabilities through improved data access, partnerships, and data enablement initiatives.</li></ul>
  • 2026-02-16T00:00:00Z
Data Analyst
  • Brooklyn, NY
  • remote
  • Temporary
  • 39.5865 - 45.837 USD / Hourly
  • We are looking for a skilled Data Analyst to join our team on a contract basis in Brooklyn, New York. In this role, you will leverage your expertise in data analysis to support decision-making processes and deliver actionable insights. The ideal candidate will bring a strong analytical skill set, familiarity with relevant tools, and the ability to work effectively in a dynamic environment.<br><br>Responsibilities:<br>• Analyze complex datasets to identify trends, patterns, and actionable insights that support business objectives.<br>• Utilize tools such as Power BI, SQL, and Microsoft Excel to create reports and dashboards for data visualization.<br>• Collaborate with stakeholders to understand data requirements and deliver solutions tailored to their needs.<br>• Perform detailed data validation and ensure the accuracy of information across systems.<br>• Support the implementation and optimization of data analysis processes using Acumatica.<br>• Develop and maintain documentation for data workflows and analytical procedures.<br>• Assist with troubleshooting and resolving data-related issues in a timely manner.<br>• Present findings and recommendations to management through clear and concise communication.<br>• Monitor data quality and implement measures to enhance consistency and reliability.<br>• Stay updated on industry trends and best practices in data analysis to continuously improve methodologies.
  • 2026-03-03T00:00:00Z
Data Analyst
  • Atlanta, GA
  • onsite
  • Permanent
  • 75000 - 95000 USD / Yearly
  • We are seeking a detail-oriented and analytical Data Analyst to join our team in the Metro Atlanta area. This role is ideal for a detail oriented who enjoys transforming complex data into actionable insights that drive business decisions. You will work cross-functionally with stakeholders across operations, finance, marketing, and technology to support strategic initiatives through data-driven analysis. <br> Key Responsibilities Collect, clean, and analyze large datasets to identify trends and insights Develop dashboards and reports using BI tools (Power BI, Tableau, or similar) Write and optimize SQL queries to extract and manipulate data Perform ad hoc analysis to support business initiatives and leadership requests Translate business requirements into technical data solutions Monitor KPIs and provide actionable recommendations Support data validation, integrity checks, and quality assurance processes Collaborate with engineering and IT teams to improve data pipelines
  • 2026-02-20T00:00:00Z
Data Analyst
  • Palo Alto, CA
  • onsite
  • Temporary
  • 52.25 - 60.5 USD / Hourly
  • We are looking for a skilled Data Analyst to join our growing team in Palo Alto, California. This long-term contract position offers an exciting opportunity to contribute to high-tech engineering projects, leveraging your expertise in data analysis to drive impactful results. The role requires occasional onsite work on Wednesdays while primarily operating remotely.<br><br>Responsibilities:<br>• Perform detailed data analysis to identify trends, anomalies, and actionable insights.<br>• Utilize advanced Excel and Google Sheets skills to manage, manipulate, and interpret large datasets.<br>• Collaborate with internal teams to support data-driven decision-making processes.<br>• Extract and process data from systems like Workday, ensuring accuracy and relevance.<br>• Adapt quickly to changing priorities and efficiently handle multiple tasks.<br>• Assist with fraud detection and prevention through data investigation and analytics.<br>• Prepare comprehensive reports and visualizations to effectively communicate findings.<br>• Support the implementation and optimization of tools such as Pave and Radford.<br>• Work closely with the Directors of Global Benefits and Perks to align data analysis with organizational goals.<br>• Provide training and guidance on system usage and data interpretation as needed.
  • 2026-03-05T00:00:00Z
1 3