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149 results for Database Administration jobs

Data/Information Architect
  • New York, NY
  • onsite
  • Temporary
  • 66.5 - 77 USD / Hourly
  • We are looking for a highly experienced Data/Information Architect to lead the design and implementation of enterprise-wide data architecture solutions. This long-term contract position offers the opportunity to shape scalable, efficient, and high-performance data systems that align with organizational goals. The ideal candidate will have a strong background in data modeling, governance frameworks, and modern lakehouse architectures, working collaboratively with both technical teams and business stakeholders to deliver actionable insights.<br><br>Responsibilities:<br>• Develop and maintain enterprise data models that support analytics, reporting, and operational needs.<br>• Implement best practices for data modeling in a lakehouse architecture, ensuring scalability and alignment with business requirements.<br>• Architect data structures using methodologies such as Star Schema, Snowflake Schema, and Data Vault for optimal performance.<br>• Collaborate with stakeholders to gather data requirements and ensure business objectives are met.<br>• Work alongside Data Engineers to create physical data models optimized for Microsoft Fabric and Delta Lake environments.<br>• Establish governance processes, including metadata management, data lineage, and quality assurance protocols.<br>• Define and manage canonical data models across key business domains to ensure consistency.<br>• Document and enforce data modeling standards to drive adoption across engineering teams.<br>• Assess and enhance existing data models, identifying areas for improvement in performance and alignment.<br>• Provide strategic guidance on data management tools and technologies to support organizational goals.
  • 2026-03-30T00:00:00Z
Data/Information Architect
  • Dallas, TX
  • onsite
  • Permanent
  • 200000 - 220000 USD / Yearly
  • We are seeking a hands-on Senior Enterprise Architect in Artificial Intelligence (AI) to join our global Enterprise Architecture team. This role blends deep technical expertise with architectural design and practical implementation to drive AI-powered transformation initiatives.<br><br>As part of a forward-thinking global technology team, you’ll collaborate across business, data, and product functions to design and implement AI/ML solutions that enable digital products and services.<br><br>Key Responsibilities<br><br>Design and architect enterprise-scale AI/ML solutions across areas such as Machine Learning, Generative AI, Deep Learning, Virtual Assistants, and Cognitive Services (Vision/Image, Text/Language processing).<br>Develop and communicate AI roadmaps, future-state architectures, and design artifacts.<br>Rapidly prototype and build proof-of-concepts (PoCs) and MVPs for AI models and algorithms.<br>Evaluate and recommend AI/ML tools, platforms, and frameworks; conduct ROI analysis.<br>Experiment with and fine-tune LLMs, train custom models, and assess performance metrics.<br>Perform data exploration, cleansing, and feature engineering to prepare datasets for model training.<br>Guide and mentor engineering and data science teams through AI/ML solution design, deployment, and integration into enterprise workflows.<br>Continuously scan industry innovations and apply emerging AI/ML technologies to business problems.<br>What We’re Looking For<br><br>Strong technical and business acumen in creating technology-driven solutions.<br>Passion for experimenting with and adopting emerging AI/ML technologies.<br>Excellent communication and influencing skills; ability to present complex technical concepts to both technical and non-technical audiences.<br>Proven ability to balance timeliness, cost, and quality in solution design.<br>Experience leading digital transformation, target operating models, and performance improvement initiatives.<br>Qualifications<br><br>Bachelor’s degree in STEM or related field (MBA a plus).<br>5+ years in AI/ML solution architecture, prototyping, and experimentation.<br>5+ years working with AWS and/or Azure data, analytics, and AI services.<br>3+ years of experience with data science tools and frameworks.<br>Recent, hands-on experience with Generative AI, LLMs, and Agentic AI platforms.<br>Knowledge of cloud-native services (data storage, compute, networking, security).<br>Strong understanding of statistical methods, data preprocessing, and feature engineering.
  • 2026-03-27T00:00:00Z
Data Engineer (Manager)
  • Chicago, IL
  • onsite
  • Permanent
  • 136000 - 217000 USD / Yearly
  • We are looking for an experienced Data Engineer to join our team in Chicago, Illinois. In this role, you will design and implement data solutions that drive business insights and support strategic decision-making. Your expertise in Microsoft Fabric and Azure Databricks will be key in optimizing data workflows and ensuring the reliability of our data systems.<br><br>Responsibilities:<br>• Develop, implement, and maintain scalable data pipelines to support business analytics and reporting needs.<br>• Utilize Microsoft Fabric and Azure Databricks to design efficient data architectures and workflows.<br>• Collaborate with cross-functional teams to understand data requirements and deliver tailored solutions.<br>• Ensure data integrity and security across all systems and processes.<br>• Optimize data storage and retrieval processes for improved performance and scalability.<br>• Monitor system performance and troubleshoot issues as needed to ensure seamless operations.<br>• Document processes and procedures to maintain a clear record of data engineering solutions.<br>• Stay updated with emerging technologies and industry best practices to enhance data engineering capabilities.
  • 2026-03-30T00:00:00Z
Data Engineer IV
  • Philadelphia, PA
  • onsite
  • Temporary
  • 55 - 65 USD / Hourly
  • <p><strong>Senior Data Engineer</strong></p><p><strong>Location:</strong> Philadelphia, PA (Hybrid/Onsite as required)</p><p><strong>Employment Type: </strong>39 Week Contract, Potential for Extension</p><p><strong>Project Focus:</strong> Salesforce → Databricks Data Migration</p><p><strong>About the Role</strong></p><p>We are seeking a <strong>Senior Data Engineer</strong> to support a major Salesforce data migration initiative. This role is centered around building, optimizing, and maintaining high‑quality data pipelines that feed into Databricks, with a strong emphasis on Spark/PySpark and Python-based ETL development. The engineer will work closely with a senior team member, participate in Agile ceremonies, and contribute to the development of a core CRM data platform.</p><p><strong>Key Responsibilities</strong></p><p><strong>Data Engineering &amp; Development</strong></p><ul><li>Develop ETL jobs and data pipelines that migrate and integrate data between Salesforce, AWS, and Databricks.</li><li>Build, test, and maintain scalable data pipelines on AWS + Databricks environments.</li><li>Use Python as a primary language for data engineering tasks and ETL job creation.</li><li>Utilize Spark and PySpark for all high‑volume processing and transformation work (<strong>must‑have</strong>).</li><li>Support integration and pipeline development, including Mulesoft-related components.</li><li>Conduct documentation, testing, QA, and post‑delivery support for all data engineering outputs.</li><li>Identify and mitigate risks, including eliminating single points of failure (SPOFs).</li></ul><p><strong>Infrastructure &amp; DevOps Collaboration</strong></p><ul><li>Use Terraform for infrastructure provisioning and environment management.</li><li>Set up and manage CI/CD pipelines using Concourse or GitHub Actions to ensure consistent and reliable deployments.</li><li>Troubleshoot pipeline issues, resolve defects efficiently, and maintain reliable operations.</li></ul><p><strong>Cross-Team Collaboration</strong></p><ul><li>Partner with engineering, architecture, and technical product teams to translate requirements into scalable data solutions.</li><li>Contribute to best practices, knowledge-sharing, and continuous improvement across the engineering organization.</li><li>Participate in weekly Scrum ceremonies and collaborate in an Agile environment.</li></ul>
  • 2026-03-26T00:00:00Z
Data Analyst
  • Wilmington, DE
  • onsite
  • Temporary
  • 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.<br><br>Responsibilities:<br>• Design and implement front-end and back-end software for complex desktop and web applications.<br>• Collaborate with business users and management to identify, analyze, and document application and reporting requirements.<br>• Develop stable and efficient solutions for Power BI reporting and application development projects.<br>• Manage all stages of the software development lifecycle, including requirements gathering, design, coding, testing, deployment, and ongoing support.<br>• Utilize best practices in software development and explore innovative solutions to meet business objectives.<br>• Optimize database objects and ensure efficient data handling and retrieval.<br>• Apply Agile methodologies to project management and software development tasks.<br>• Create and maintain comprehensive documentation for business requirements and application designs.<br>• Work independently and as part of a team to deliver high-quality results.<br>• Support scheduled updates and releases with a focus on system stability and performance.
  • 2026-03-23T00:00:00Z
Data Analyst
  • Kansas City, MO
  • onsite
  • Permanent
  • 65000 - 70000 USD / Yearly
  • We are looking for a detail-oriented Data Analyst to oversee grant-related processes and manage communications with community partners. The ideal candidate will ensure accurate tracking, submission of reimbursements, and provide timely responses to inquiries from management. This position offers an opportunity to contribute to impactful community initiatives while applying strong data analysis skills.<br><br>Responsibilities:<br>• Manage grant-related data, including tracking expenditures and reimbursements to ensure accuracy and compliance.<br>• Collaborate with community partners to maintain clear and effective communication regarding grant processes and requirements.<br>• Prepare and submit reimbursement documentation in alignment with organizational policies.<br>• Respond to inquiries from management and stakeholders in a timely and thorough manner.<br>• Utilize data manipulation tools and queries to analyze and interpret grant-related information.<br>• Create and maintain reports using Microsoft Access and Excel to support decision-making processes.<br>• Assist in organizing community events and initiatives tied to grant programs.<br>• Ensure data integrity and accuracy in all reporting and analysis efforts.<br>• Support the team with additional administrative tasks related to data management and grant tracking.
  • 2026-03-11T00:00:00Z
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
  • Los Angeles, CA
  • onsite
  • Temporary
  • 38 - 44 USD / Hourly
  • We are looking for a skilled Data Analyst to join our team in Los Angeles, California, on a long-term contract basis. This role offers an exciting opportunity to contribute to fraud detection and prevention efforts by leveraging advanced data analytics. You will play a pivotal role in analyzing complex datasets and providing actionable insights to support anti-fraud initiatives.<br><br>Responsibilities:<br>• Analyze large datasets to identify patterns, trends, and anomalies related to suspected fraud.<br>• Develop and implement fraud analytics models to detect and prevent fraudulent activities.<br>• Collaborate with cross-functional teams to investigate potential fraud cases and provide detailed reports.<br>• Monitor and assess the effectiveness of anti-fraud strategies and recommend improvements.<br>• Utilize advanced data analysis techniques to enhance fraud detection processes.<br>• Prepare visualizations and presentations to communicate findings to stakeholders.<br>• Conduct thorough investigations into flagged transactions or activities and document findings.<br>• Support the development of automated tools and processes for fraud prevention.<br>• Stay updated on industry best practices and emerging technologies related to fraud analytics.<br>• Ensure compliance with regulatory requirements and company policies in all investigations.
  • 2026-03-17T00:00:00Z
Data Analyst
  • Jacksonville, FL
  • onsite
  • Contract / Temporary to Hire
  • 39.5865 - 45.837 USD / Hourly
  • We are looking for a skilled Data Analyst to join our team in Jacksonville, Florida. This Contract to permanent position is ideal for someone who excels at transforming complex datasets into meaningful insights and actionable reports. The role involves leveraging technical expertise to support decision-making and drive business improvements through advanced analytics.<br><br>Responsibilities:<br>• Gather, analyze, and interpret data from diverse sources to provide actionable insights for business decisions.<br>• Design and maintain Power BI dashboards, automated reports, and interactive visualizations.<br>• Develop and optimize SQL queries to extract, manipulate, and manage large datasets effectively.<br>• Utilize Python for data cleaning, automation, and performing advanced analytics.<br>• Conduct rigorous data validation, quality assurance checks, and reconciliation processes to ensure accuracy.<br>• Create scheduled and on-demand reports tailored to the needs of cross-functional teams.<br>• Identify trends, patterns, and anomalies in data to uncover opportunities for business growth.<br>• Collaborate with stakeholders to define key performance indicators (KPIs) and establish reporting strategies.<br>• Provide recommendations to improve data processes and enhance overall reporting efficiency.
  • 2026-03-19T00:00:00Z
Data Analyst
  • Tonawanda, NY
  • onsite
  • Contract / Temporary to Hire
  • 23.75 - 27.5 USD / Hourly
  • <p>We are looking for a detail-oriented Part Time Data Analyst to join our team in Tonawanda, New York. This Contract to permanent position is ideal for someone who excels at refining workflows, streamlining processes, and enhancing business efficiency. The role requires a focus on improving operational quality, reducing costs, and delivering actionable insights through data analysis.</p><p><br></p><p>Responsibilities:</p><p>• Analyze and refine existing workflows to eliminate inefficiencies and bottlenecks.</p><p>• Automate processes wherever possible to improve operational speed and accuracy.</p><p>• Collaborate with sales teams to enhance marketing strategies and align efforts.</p><p>• Track, compile, and analyze data to support informed decision-making.</p><p>• Redesign and optimize process flows to meet specific project goals and objectives.</p><p>• Maintain and update all documentation related to workflows and process improvements.</p><p>• Facilitate workshops to identify critical business challenges and propose solutions.</p><p>• Work closely with management to align processes with short-term and long-term organizational goals.</p><p>• Prepare and manage client-related data, including spreadsheets, notes, payment updates, and issue resolutions.</p><p>• Apply fraud analytics and investigation techniques to detect and mitigate risks.</p>
  • 2026-03-27T00:00:00Z
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
  • 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
  • Spring, TX
  • remote
  • Temporary
  • 0 - 0 USD / Yearly
  • We are looking for a skilled Data Analyst to join our team in Spring, Texas. This long-term contract position offers an excellent opportunity to utilize your expertise in fraud investigation and analytics while contributing to meaningful data-driven insights. If you enjoy analyzing complex datasets and identifying patterns to prevent fraudulent activities, this role is for you.<br><br>Responsibilities:<br>• Analyze large datasets to identify trends, anomalies, and patterns indicative of fraudulent activities.<br>• Develop and implement fraud detection strategies using advanced analytics and investigative techniques.<br>• Collaborate with cross-functional teams to collect and organize data for fraud prevention initiatives.<br>• Conduct detailed investigations into suspected fraudulent activities and recommend appropriate actions.<br>• Create reports and dashboards to communicate findings and support decision-making processes.<br>• Maintain up-to-date knowledge of fraud detection tools and techniques to enhance operational effectiveness.<br>• Monitor ongoing transactions and activities to detect and mitigate potential fraud risks.<br>• Work closely with stakeholders to understand business needs and deliver impactful data analysis.<br>• Ensure the accuracy and integrity of data used for fraud analytics and reporting.<br>• Provide training and guidance to team members on fraud analytics best practices.
  • 2026-03-31T00:00:00Z
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
  • Irvine, CA
  • onsite
  • Temporary
  • 28 - 32 USD / Hourly
  • <p>We are seeking a QA Analyst for a dynamic, fast-paced weekly release environment to support and ensure high-quality delivery.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Execute manual QA testing activities in a weekly release cycle.</li><li>Perform thorough scope testing and regression testing for every release.</li><li>Conduct hands-on testing of Salesforce applications.</li><li>Test integrations with other platforms and validate APIs.</li><li>Create and expand test cases rooted in impacted functionality and new requirements.</li><li>Collaborate closely with developers, product managers, and business stakeholders to understand requirements, priorities, and areas affected by code changes.</li><li>Identify bugs early in the lifecycle before code reaches production.</li><li>Work independently with minimal supervision, proactively raising potential quality concerns.</li><li>Leverage tools such as Postman for API testing.</li><li>Document detailed defect reports and track issues to resolution.</li></ul>
  • 2026-03-10T00:00:00Z
Data Analyst
  • Richmond, VA
  • onsite
  • Temporary
  • 34.0385 - 39.413 USD / Hourly
  • <p><strong>Position Summary</strong></p><p>We are seeking a detail‑oriented <strong>Data Analyst</strong> to support our client. A key focus of this assignment will be finalizing and integrating the department’s <strong>legacy database</strong> into broader organizational data systems.</p><p>This role is ideal for someone who excels at translating complex data into clear insights for leadership.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Conduct research and analysis on housing, economic, and demographic trends.</li><li>Evaluate internal data to assess current and emerging housing needs.</li><li>Interpret and communicate the policy implications of research findings for managerial decision‑makers.</li><li>Finalize and support integration of the legacy database with organizational data programs.</li><li>Prepare written reports, dashboards, graphics, and presentations that summarize complex data clearly and concisely.</li><li>Utilize PowerBI or Tableau to develop dashboards and data visualizations.</li><li>Maintain and enhance databases using MS Access and Excel.</li><li>Create presentations and briefing materials using MS PowerPoint.</li><li>(Preferred) Use GIS tools and databases to analyze spatial housing and community development trends.</li></ul>
  • 2026-03-13T00:00:00Z
Data Analyst
  • Glendale, CA
  • onsite
  • Temporary
  • 59.375 - 68.75 USD / Hourly
  • <p>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.</p><p><br></p><p>Responsibilities:</p><p>• Analyze large datasets to uncover patterns and anomalies that may indicate fraudulent activity.</p><p>• Develop and implement fraud detection models and algorithms to enhance risk management.</p><p>• Investigate suspicious transactions and activities to identify potential fraud cases.</p><p>• Collaborate with cross-functional teams to design strategies for fraud prevention and mitigation.</p><p>• Prepare detailed reports and visualizations to communicate findings to stakeholders clearly.</p><p>• Monitor and refine anti-fraud systems based on emerging threats and trends.</p><p>• Conduct research to stay informed about new fraud schemes and data analysis techniques.</p><p>• Ensure data integrity and accuracy while working with sensitive information.</p><p>• Provide actionable insights that help drive business decisions and improve operational efficiency.</p>
  • 2026-03-26T00:00:00Z
Data Analyst
  • Philadelphia, PA
  • onsite
  • Temporary
  • 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.<br><br>Responsibilities:<br>• Conduct detailed data analyses to identify patterns of suspected fraud and anomalies in healthcare systems.<br>• Develop and implement fraud detection models using advanced analytics tools and techniques.<br>• Collaborate with cross-functional teams to investigate potential fraudulent activities and propose actionable solutions.<br>• Utilize platforms such as Epics and Chartmaxx to extract and analyze data effectively.<br>• Generate comprehensive reports and dashboards to present findings and support decision-making.<br>• Monitor ongoing healthcare operations to ensure compliance with anti-fraud protocols.<br>• Optimize data workflows and processes to enhance efficiency and accuracy.<br>• Stay updated on industry trends and best practices in fraud analytics and healthcare data analysis.<br>• Provide recommendations to improve system integrity and prevent future fraudulent activities.
  • 2026-03-24T00:00:00Z
Data Analyst
  • Cambridge, MA
  • onsite
  • Temporary
  • 55.4135 - 64.163 USD / Hourly
  • We are looking for a skilled Data Analyst to join our team on a long-term contract basis in Cambridge, Massachusetts. This role is ideal for someone who thrives in analyzing complex datasets, identifying trends, and delivering actionable insights. Your expertise in data reporting and visualization will be essential in supporting key organizational goals.<br><br>Responsibilities:<br>• Develop comprehensive reports and dashboards using Tableau to visualize and present data effectively.<br>• Utilize PeopleSoft to extract and manage data for reporting and analytical purposes.<br>• Conduct detailed investigations into suspected fraud cases and provide analytical insights.<br>• Monitor and analyze patterns in fraud analytics to identify risks and recommend solutions.<br>• Collaborate with cross-functional teams to ensure data accuracy and integrity.<br>• Apply anti-fraud measures to detect and prevent fraudulent activities.<br>• Perform thorough data analysis to uncover trends and deliver actionable recommendations.<br>• Maintain documentation of findings and processes to support organizational transparency.<br>• Present findings and recommendations to stakeholders in a clear and concise manner.<br>• Continuously improve reporting processes and tools to enhance data-driven decision-making.
  • 2026-03-26T00:00:00Z
Data Analyst
  • Nashville, TN
  • onsite
  • Temporary
  • 38 - 45 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>
  • 2026-03-17T00:00:00Z
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.
  • 2026-03-31T00:00:00Z
Data Analyst
  • Phoenix, AZ
  • onsite
  • Temporary
  • 47.5 - 55 USD / Hourly
  • <p>The Data Migration Specialist is responsible for planning, executing, validating, and reconciling data migrations from legacy systems into ERP and operational platforms. This role ensures that historical and transactional data is migrated accurately, completely, and in alignment with business and regulatory requirements.</p><p>This role is execution-focused and works within the standards defined by the Data Architect.</p><p>Key responsibilities</p><p>Migration planning and execution</p><ul><li>Analyze legacy data sources and assess data readiness for migration.</li><li>Develop data extraction, transformation, and load (ETL) plans aligned to target systems.</li><li>Build and execute migration scripts, tools, and repeatable migration processes.</li><li>Perform mock conversions and final production cutovers.</li></ul><p>Data mapping and transformation</p><ul><li>Create detailed source-to-target mapping documents.</li><li>Apply transformation rules, data cleansing logic, and enrichment where required.</li><li>Validate that migrated data aligns with target ERP configuration and business rules.</li></ul><p>Data validation and reconciliation</p><ul><li>Perform row-level and aggregate reconciliations pre- and post-migration.</li><li>Validate financial balances, open transactions, and historical records.</li><li>Partner with finance and operations teams to confirm business signoff.</li><li>Document issues, resolutions, and lessons learned for reuse.</li></ul><p>ERP and OpCo rollout support</p><ul><li>Support phased ERP and OpCo migrations.</li><li>Participate in cutover planning and execution.</li><li>Support hypercare by resolving migration-related defects and data issues.</li><li>Maintain migration runbooks and documentation.</li></ul><p><br></p>
  • 2026-03-25T00:00:00Z
Data Analyst
  • Pittsburgh, PA
  • onsite
  • Contract / Temporary to Hire
  • 42.75 - 49.5 USD / Hourly
  • We are looking for a motivated Data Analyst to join our team in Pittsburgh, Pennsylvania. This contract-to-permanent position offers an exciting opportunity to work closely with finance teams, gaining hands-on experience with data systems and processes. The ideal candidate will be eager to learn and contribute to maintaining and improving our data operations.<br><br>Responsibilities:<br>• Collaborate with finance teams to understand and address data-related queries and issues.<br>• Learn and master the organization&#39;s data warehouse systems to provide effective support.<br>• Perform regular maintenance routines to ensure data systems are functioning optimally.<br>• Automate existing processes to enhance efficiency and accuracy.<br>• Gain familiarity with Oracle&#39;s EPM platform and its application in financial data analysis.<br>• Develop an understanding of hierarchy and dimensions within data structures.<br>• Participate in training sessions to expand knowledge of Oracle platforms and related tools.<br>• Implement solutions to streamline data workflows and operations.<br>• Work onsite for a majority of the workweek, adhering to the team&#39;s schedule.
  • 2026-03-23T00:00:00Z
Data Analyst
  • Saint Louis, MO
  • onsite
  • Temporary
  • 40 - 50 USD / Hourly
  • <p><strong>About the Role</strong></p><p>We’re seeking a Data Analyst to support reporting, analytics, and data-driven decision-making across the organization. This individual will extract, transform, analyze, and present data to business leaders, helping improve operations, customer experience, and strategic outcomes.</p><p><strong>Key Responsibilities</strong></p><ul><li>Collect, clean, and validate data from multiple systems (ERP, CRM, cloud platforms, internal databases).</li><li>Build dashboards, reports, and visualizations using tools such as Power BI, Tableau, or Excel.</li><li>Perform trend analysis, KPI tracking, and ad‑hoc analytics to support business decisions.</li><li>Partner with IT, finance, operations, and leadership teams to understand data needs and deliver insights.</li><li>Develop SQL queries, joins, stored procedures, and dataset pipelines for reporting.</li><li>Monitor data integrity and recommend process/data quality improvements.</li><li>Translate complex data findings into clear, actionable recommendations for non‑technical stakeholders.</li></ul><p><br></p>
  • 2026-03-20T00:00:00Z
Data Analyst
  • Palm Beach Gardens, FL
  • onsite
  • Temporary
  • 0 - 0 USD / Yearly
  • <p>The Data Analyst is responsible for transforming complex datasets into meaningful insights that support decision-making across the organization. This role works closely with business stakeholders, technical teams, and leadership to analyze data, build dashboards, optimize reporting workflows, and contribute to data-driven strategies. The position requires strong analytical capability, solid technical skills, and the ability to explain findings to non‑technical audiences.</p><p><strong>Key Responsibilities</strong></p><p><strong>Data Management &amp; Preparation</strong></p><ul><li>Extract, clean, transform, and validate data from multiple sources including databases, spreadsheets, APIs, and cloud platforms.</li><li>Maintain data dictionaries, definitions, and documentation to ensure consistency across reporting environments.</li><li>Perform quality assurance checks to detect anomalies, missing values, inconsistencies, or data integrity issues.</li></ul><p><strong>Analysis &amp; Reporting</strong></p><ul><li>Conduct exploratory data analysis to identify trends, performance drivers, and actionable insights.</li><li>Develop KPI dashboards, visualizations, and interactive reports using BI tools such as Power BI, Tableau, or Looker.</li><li>Prepare regular operational, financial, or performance reports for business units and leadership.</li><li>Translate business questions into analytical approaches and summarize findings clearly for stakeholders.</li></ul><p><strong>SQL &amp; Database Work</strong></p><ul><li>Write intermediate to advanced SQL queries for data extraction, filtering, aggregation, and joining across relational databases.</li><li>Optimize query performance and support development of reusable SQL logic for reporting and analytics.</li><li>Collaborate with data engineers on schema changes, new data pipelines, and data model improvements.</li></ul><p><strong>Advanced Analytics &amp; Automation</strong></p><ul><li>Build automated reporting workflows using SQL, Python, R, or ETL tools to reduce manual effort.</li><li>Perform statistical analysis, forecasting, segmentation, and other analytical techniques as needed.</li><li>Support experimentation, A/B testing, cohort analysis, or predictive modeling initiatives.</li></ul><p><strong>Cross‑Functional Collaboration</strong></p><ul><li>Partner with Finance, Operations, Marketing, Product, and IT to understand data needs and develop analytical solutions.</li><li>Gather user requirements, define scope, and manage expectations throughout analytics projects.</li><li>Present insights and recommendations to leadership in a clear, structured format.</li></ul><p><strong>Data Governance &amp; Best Practices</strong></p><ul><li>Ensure compliance with internal data standards, privacy rules, and access policies.</li><li>Contribute to documentation, SOPs, and data governance initiatives to enhance data literacy across the business.</li><li>Support continuous improvement of analytics processes, dashboards, and metrics.</li></ul><p><br></p>
  • 2026-03-13T00:00:00Z
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