We are looking for a Data Analyst to join a project-focused team supporting reinsurance operations in South Portland, Maine. This contract opportunity with permanent potential is ideal for someone who can evaluate reporting needs, uncover root causes behind data issues, and recommend more effective ways to deliver meaningful insights. The role blends analytical thinking with hands-on technical execution, with a strong emphasis on improving reporting, supporting financial accuracy, and building dependable data solutions.<br><br>Responsibilities:<br>• Analyze reporting requests to identify the true business need, investigate underlying data challenges, and design practical reporting solutions.<br>• Redesign and enhance existing reports to improve usability, accuracy, and decision-making value for stakeholders.<br>• Build and maintain recurring and ad hoc reports using tools such as Power BI, Excel, SQL, and DAX.<br>• Develop and validate data feeds that support accrual processing and ensure accurate flow of information into the subledger.<br>• Perform reconciliations and review output for completeness, consistency, and alignment with financial reporting requirements.<br>• Support automation efforts related to accrual and reporting workflows to reduce manual effort and increase reliability.<br>• Partner with accounting, data management, and business teams to translate operational needs into scalable data deliverables.<br>• Apply reinsurance knowledge to interpret data correctly and ensure reporting reflects relevant business activity.
<p>We are looking for a Data Administrator to join our team in a contract role with the potential to become permanent. This opportunity is well suited for an early-career candidate with at least one year of post-graduate experience who enjoys working with data, spotting irregular patterns, and supporting fraud-related analysis. The position follows a 2 day a week hybrid schedule with in-office collaboration</p><p><br></p><p>Responsibilities:</p><p>• Review operational and analytical data sets to identify anomalies, trends, and indicators related to suspected fraudulent activity.</p><p>• Monitor routine data processes with accuracy and consistency, ensuring issues are flagged quickly and escalated when needed.</p><p>• Support fraud analysis efforts by examining patterns, validating findings, and helping improve visibility into risk areas.</p><p>• Investigate data discrepancies and partner with internal stakeholders to resolve errors affecting reporting or operations.</p><p>• Maintain data quality across reports, tracking tools, and internal systems used for analysis and decision-making.</p><p>• Prepare clear summaries of findings and communicate insights that help teams respond to anti-fraud concerns effectively.</p><p>• Assist with updates to workflows, reporting methods, or system-related processes as business needs evolve.</p><p>• Contribute to a growing team environment by taking on new responsibilities over time and supporting continuous improvement initiatives.</p>
<p><strong>Healthcare Data Analyst </strong></p><p>We’re seeking a Data Analyst to join a healthcare company and help drive improved patient outcomes through data-driven insights. In this role, you will analyze clinical and operational data to identify trends, support quality improvement initiatives, and enhance overall care delivery.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Develop and maintain reports and interactive dashboards </li><li>Analyze patient, quality, and operational data to identify opportunities for improvements</li></ul><p><strong>Qualifications:</strong></p><ul><li>Experience working with healthcare data in a hospital or clinical environment</li><li>Strong skills in reporting and dashboard tools (e.g., Power BI, Tableau, or similar)</li><li>Proficiency in SQL and/or Excel for data analysis</li><li>Ability to communicate findings clearly to both technical and non-technical audiences</li></ul><p><br></p>
We are looking for a Data Analyst to join a long-term contract opportunity in Oklahoma City, Oklahoma. In this role, you will evaluate business workflows, examine complex datasets, and uncover issues that affect data accuracy and operational performance. The position calls for someone who can translate findings into practical recommendations, build reporting solutions, and collaborate effectively with stakeholders across technical and business teams.<br><br>Responsibilities:<br>• Analyze large and complex datasets to identify inconsistencies, root causes, and opportunities to strengthen data reliability and business performance<br>• Create, test, and refine SQL queries, functions, and stored procedures to support scheduled reporting as well as one-time business requests<br>• Develop reporting and data collection solutions that improve efficiency, enhance visibility into operations, and support informed decision-making<br>• Examine trends, anomalies, and performance patterns in data and present meaningful insights to business leaders and project stakeholders<br>• Review reports, source data, and existing logic to detect defects, resolve data quality concerns, and improve overall output accuracy<br>• Document current business processes, workflows, and analytical findings while recommending practical improvements based on observed issues<br>• Perform data quality reviews and validation activities to ensure information is complete, accurate, and fit for reporting purposes<br>• Build a strong understanding of organizational procedures and operational workflows in order to align analysis with business needs<br>• Apply critical thinking and structured problem-solving to support fraud-related analysis, process improvement efforts, and cross-functional initiatives
We are looking for a detail-oriented Data Analyst to support fraud detection and investigative efforts in South Haven, Minnesota. This Long-term Contract position focuses on examining data patterns, identifying suspicious activity, and delivering insights that strengthen anti-fraud strategies. The ideal candidate is comfortable working with large datasets, translating findings into clear recommendations, and partnering with teams that protect business operations from financial risk.<br><br>Responsibilities:<br>• Analyze transactional and operational data to uncover unusual behavior, emerging fraud trends, and potential risk indicators.<br>• Investigate suspicious activity by reviewing datasets, validating anomalies, and organizing findings for follow-up action.<br>• Develop reports and dashboards that help stakeholders monitor fraud patterns and measure the effectiveness of prevention efforts.<br>• Collaborate with cross-functional partners to interpret analytical results and support fraud mitigation decisions.<br>• Use data-driven methods to identify weaknesses in current controls and recommend improvements that reduce exposure.<br>• Maintain accurate documentation of analyses, case findings, and supporting evidence to assist ongoing investigations.<br>• Monitor key fraud metrics and highlight changes that may require deeper review or immediate escalation.
<p>We are looking for a Data Analyst to join a financial institution in Albuquerque, New Mexico in an onsite contract role with the potential to become permanent. This position focuses on turning operational and member data into clear insights that support better decisions across the department. The ideal candidate will partner with business stakeholders to identify needs, improve reporting, and build dashboards that help leaders monitor performance and uncover opportunities for growth and efficiency.</p><p><br></p><p>Responsibilities:</p><p>• Examine current workflows and identify opportunities to simplify processes, shorten turnaround times, and improve the overall member experience.</p><p>• Partner with department leaders and stakeholders to gather business needs, define reporting requirements, and support effective communication across teams.</p><p>• Design, build, and maintain departmental dashboards and reporting tools that present complex information in a clear, actionable format.</p><p>• Translate data findings into practical recommendations that help leadership make informed operational and strategic decisions.</p><p>• Review existing procedures, job aids, and knowledge base content, updating documentation to improve accuracy, usability, and consistency for retail staff.</p><p>• Analyze member activity, behavior patterns, and performance trends to reveal opportunities for stronger engagement, loyalty, and revenue improvement.</p><p>• Load and organize data within dashboards, reporting platforms, and prebuilt analytical workbooks to ensure reliable and timely access to information.</p><p>• Present trend analysis and key insights to relevant teams, highlighting risks, opportunities, and areas for process enhancement.</p><p>• Support additional analytical and reporting assignments as business needs evolve.</p><p>Other duties as needed</p>
We are looking for a detail-oriented Data Analyst to join a Financial Services team in New Orleans, Louisiana on a contract basis with the potential for a permanent position. This role focuses on reviewing data tied to potential fraud activity, identifying irregularities in invoices and transactions, and turning findings into clear recommendations for business partners. The ideal candidate is comfortable working with large data sets, performing research, and using analytical tools to support fraud detection and investigation efforts.<br><br>Responsibilities:<br>• Analyze transaction and invoice data to detect unusual patterns, inconsistencies, and indicators of potentially fraudulent activity.<br>• Investigate flagged records by conducting research, validating supporting details, and documenting findings in a clear and organized manner.<br>• Use Microsoft Excel and related analytical methods to sort, reconcile, and interpret large volumes of financial information.<br>• Partner with internal stakeholders to communicate trends, summarize risks, and support decisions related to fraud prevention and resolution.<br>• Review invoice discrepancies and related exceptions to determine root causes and recommend next steps.<br>• Maintain accurate reporting on case activity, analytical results, and emerging fraud patterns for ongoing monitoring.<br>• Support anti-fraud initiatives by refining data review processes and improving the quality of investigative insights.
<p>Robert Half is seeking experienced Data Analysts for contract opportunities with clients in Bellingham, WA. Our clients in the local area frequently seek experienced Data Analysts with Workday experience to support reporting, data integrity, system analysis, and business decision-making. These are ongoing contract postings intended to identify qualified talent for recurring local needs. Based on general knowledge.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Analyze data sets and prepare reports to support business operations and decision-making</li><li>Use Workday to extract, maintain, validate, and analyze data</li><li>Identify trends, inconsistencies, and opportunities for process improvement</li><li>Develop dashboards, spreadsheets, and reporting tools for internal stakeholders</li><li>Ensure data accuracy, integrity, and consistency across systems</li><li>Collaborate with cross-functional teams on reporting and system-related initiatives</li><li>Support ad hoc analysis and special projects as needed</li></ul>
<p><strong>Overview</strong></p><p>We’re working with our client on a high-impact data initiative supporting their merger with another organization. This role will focus on data discovery, integration, and migration to ensure a smooth transition of critical systems and reporting.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Lead data discovery, requirements gathering, and data lineage mapping across multiple source systems for CD1 conversion</li><li>Analyze and document data integration needs, including:</li><li>SFTP file transfers</li><li>ETL pipelines</li><li>Upstream/downstream system dependencies</li><li>Support migration of legacy datasets, ensuring data accuracy and continuity of business processes</li><li>Partner with business stakeholders, application owners, and technology teams to translate requirements into clear data specifications</li><li>Act as a liaison between the Data team and broader technology organization across multiple workstreams</li><li>Serve as a point of contact for data-related questions, issues, and coordination during the integration effort</li></ul><p><strong>*Please note: </strong>This is a hybrid position in Atlanta (Smyrna). Please don't apply to this posting if you're not already local to Metro ATL and willing to work onsite in a hybrid capacity</p>
We are looking for a Data Analyst to join a team in Somerset, New Jersey and turn complex information into actionable insight that strengthens fraud detection efforts. This contract opportunity with potential for a permanent role is ideal for someone who combines strong analytical thinking with practical experience identifying suspicious patterns, supporting investigations, and improving anti-fraud decision-making. The role offers the chance to work closely with business partners to interpret data, surface risk trends, and contribute to a more proactive fraud strategy.<br><br>Responsibilities:<br>• Examine large data sets to identify unusual activity, emerging fraud patterns, and indicators of potential risk.<br>• Create reports, dashboards, and analytical summaries that help stakeholders monitor fraud performance and make informed decisions.<br>• Partner with investigation and business teams to translate data findings into practical actions that support fraud prevention efforts.<br>• Evaluate transactional and behavioral information to uncover trends, root causes, and opportunities to reduce exposure.<br>• Support fraud investigations by gathering, organizing, and interpreting relevant data from multiple sources.<br>• Refine analytical methods and detection approaches to improve accuracy, efficiency, and responsiveness in anti-fraud initiatives.
<p>We are looking for a Data Analyst to join a collaborative team in Atlanta, Georgia, where data is used to guide business strategy and operational decisions. This opportunity is ideal for someone who enjoys translating complex information into clear reporting and practical recommendations. The person in this role will partner with stakeholders across the business to uncover patterns, improve data quality, and deliver meaningful insights through analysis and visualization.</p><p><br></p><p>Responsibilities:</p><p>• Create interactive dashboards and recurring reports that help teams monitor performance and identify areas for improvement.</p><p>• Examine large and varied datasets to uncover trends, exceptions, and actionable business insights.</p><p>• Develop and run database queries to extract, organize, and interpret information from multiple sources.</p><p>• Review, reconcile, and validate data to maintain accuracy, consistency, and reliability in reporting outputs.</p><p>• Communicate findings to business partners and leadership through clear presentations, summaries, and visual storytelling.</p><p>• Work closely with cross-functional teams to support informed decision-making with timely analytical input.</p><p>• Apply analytical techniques to fraud-related data to help detect suspicious activity and strengthen anti-fraud efforts.</p>
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.
<p>We are looking for a detail-oriented QA Analyst to join our team Massachusetts in a contract position with the potential to become permanent. This position will support the quality, stability, and effectiveness of business applications by evaluating system behavior, validating workflows, and identifying issues before release. The role partners with product, design, engineering, documentation, and business teams to improve user experience and strengthen operational reliability. This is a strong opportunity for someone who enjoys working in a growing environment, building structure, and contributing to a developing quality-focused practice.</p><p><br></p><p>Responsibilities:</p><p>• Assess new and existing application features to confirm they operate correctly and meet defined business needs.</p><p>• Work closely with cross-functional partners to clarify expected outcomes, review workflows, and verify that delivered solutions align with user requirements.</p><p>• Execute hands-on testing across employee-facing and customer-facing systems, documenting defects, inconsistencies, and usability concerns.</p><p>• Support release preparation by validating readiness, confirming issue resolution, and helping reduce production risk before deployment.</p><p>• Develop and maintain repeatable testing approaches, including regression coverage and end-to-end workflow checks, as the systems environment expands.</p><p>• Contribute to performance and reliability evaluations to help ensure applications function effectively under expected usage conditions.</p><p>• Help establish practical quality standards, documentation practices, and testing processes for a growing technology organization.</p><p>• Assist with manual validation activities in areas where automation, tools, or formal procedures are still being developed.</p>
<p>Responsibilities</p><ul><li>The Procurement Analyst performs a variety of duties in support of the product and vendor acquisition process for the Firm</li><li>This position works with suppliers to negotiate prices, terms, prepares and processes purchase orders, monitors inventory, assists in managing vendor contracts, and helps with sourcing third-party vendors</li><li>The Procurement Analyst works under general supervision and relies on experience and judgment to plan and accomplish goals</li><li>Manage, track, negotiate and complete ordering process for various IT hardware, telecom, services, and other general purchasing requests as needed</li><li>Submit and track invoices for payment into payables system and for firm purchase credit card</li><li>Work closely with IT hardware & telecom managers to provide vendor analysis, review, and technical support</li><li>Use HelpDesk application to close tickets and answer IT hardware and telecom procurement inquiries</li><li>Utilize and administer purchasing system to process IT hardware & telecom renewals, new purchases, and other tasks as required by requestors</li><li>Assist with vendor review process, Request for Proposals (RFPs), Diversity & Inclusion initiatives, production and distribution of reports, and to communicate statuses to stakeholders</li><li>Analyze supply expenditures to help identify cost saving measures and initiatives</li><li>Maintain accurate records, files, and agreements using filing and contract applications</li><li>Assist users with annual budget process by providing past procurement information as needed</li><li>Ensure procurement activities are aligned with the department’s purchasing strategy and budgets</li><li>While performing the duties of this job, the employee is required to sit, use hands, reach with hands and arms, stoop, talk and hear</li><li>Employee must occasionally lift up to twenty (20) pounds</li></ul><p><br></p>
We are looking for a Data Analyst to support fraud detection and investigative reporting for a Long-term Contract opportunity based in Irvine, California. This role focuses on turning complex data into actionable insights that help identify suspicious activity, strengthen anti-fraud efforts, and support business decision-making. The ideal candidate brings strong analytical thinking, experience working with fraud-related datasets, and the ability to communicate findings clearly to stakeholders.<br><br>Responsibilities:<br>• Analyze transactional and behavioral data to uncover unusual patterns, emerging risks, and indicators of suspected fraud.<br>• Develop reports, dashboards, and data summaries that support fraud monitoring, case prioritization, and investigative follow-up.<br>• Partner with fraud prevention and investigation teams to translate data findings into practical actions and risk mitigation strategies.<br>• Review large datasets for inconsistencies, trends, and anomalies that may signal fraudulent activity or control weaknesses.<br>• Support ongoing anti-fraud initiatives by providing data-driven insights that improve detection accuracy and operational response.<br>• Document analytical findings in a clear and organized manner for business partners, investigators, and leadership review.<br>• Assist with refining data analysis methods and reporting processes to improve visibility into fraud trends and performance outcomes.
<p>We are looking for a Data Analyst to support the creation, maintenance, and analysis of custom-formatted data reports that drive business decisions and operational improvements. This role will be responsible for transforming project requirements into actionable reporting solutions, managing the complete data lifecycle, and providing meaningful insights to Project Managers and stakeholders.</p><p>The ideal candidate will have experience working with large and complex datasets, strong SQL skills, excellent analytical abilities, and prior experience within the banking or financial services industry. This role requires a detail-oriented professional who can evaluate business processes, identify opportunities for improvement, and recommend data-driven solutions.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><p>· Translate business and project requirements into customized data reports and dashboards.</p><p>· Manage the end-to-end data generation lifecycle, including data extraction, validation, transformation, reporting, and documentation.</p><p>· Analyze business processes and identify data-driven opportunities to improve efficiency, accuracy, and decision-making.</p><p>· Develop, create, and maintain SQL queries to extract, manipulate, and analyze large datasets.</p><p>· Perform data audits to ensure completeness, consistency, and accuracy across multiple data sources.</p><p>· Identify data anomalies, gaps, quality issues, and reporting discrepancies and coordinate resolution efforts with stakeholders.</p><p>· Provide critical insights and reporting summaries to Project Managers and business leaders.</p><p>· Support data quality initiatives through systematic review processes and implementation of data controls.</p><p>· Analyze trends, metrics, and operational performance indicators to support strategic business decisions.</p><p>· Maintain thorough process documentation, reporting standards, and data governance practices.</p><p>· Collaborate with cross-functional teams to validate business requirements and reporting outputs.</p>
We are looking for a Data Analyst to join a non-profit organization in a contract-to-permanent capacity. This position will focus on building and improving data integration processes that support reporting, analytics, and day-to-day business operations. The role is ideal for someone who can turn complex data needs into dependable technical solutions while helping maintain strong data quality, performance, and governance standards.<br><br>Responsibilities:<br>• Develop and support data integration workflows that move information from internal systems, cloud environments, and external applications into centralized reporting platforms.<br>• Create, refine, and maintain scalable data pipelines that deliver accurate and timely datasets for analytics, operational reporting, and business intelligence tools.<br>• Investigate data inconsistencies, resolve processing issues, and establish validation checks to improve reliability and integrity across data assets.<br>• Contribute to data warehouse and data lake efforts by shaping transformation rules, supporting data models, and improving overall processing performance.<br>• Partner with stakeholders to understand reporting and analytical needs, then translate those needs into efficient and sustainable data solutions.<br>• Prepare and maintain clear technical documentation covering data mappings, process logic, workflow design, and integration steps.<br>• Enhance database and query performance while supporting scheduling, automation, and operational stability for recurring data jobs.<br>• Provide dependable data support for visualization and reporting platforms such as Power BI, Tableau, and similar business intelligence tools.<br>• Participate in data migration, application integration, and master data management initiatives as part of broader enterprise data projects.<br>• Help uphold data governance, security, and retention standards across integration and reporting processes.
<p>We are seeking a <strong>Data Analyst</strong> with strong <strong>Power BI</strong> experience to transform data into actionable insights that drive business decisions. This role will be responsible for gathering requirements, analyzing complex datasets, developing dashboards and reports, and partnering with stakeholders across the organization to improve business performance.</p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain interactive <strong>Power BI dashboards and reports</strong></li><li>Collect, analyze, and interpret large datasets from multiple sources</li><li>Translate business requirements into meaningful data visualizations and reporting solutions</li><li>Create and optimize data models, measures, and calculations using <strong>DAX</strong></li><li>Develop and maintain data extraction, transformation, and loading (ETL) processes</li><li>Perform data validation and quality assurance to ensure reporting accuracy</li><li>Identify trends, patterns, and opportunities through data analysis</li><li>Partner with business stakeholders to understand reporting needs and provide recommendations</li><li>Automate recurring reports and improve reporting efficiency</li><li>Document data definitions, reporting processes, and business logic</li></ul><p><br></p>
We are looking for a Data Analyst to join a team in Florida on a contract basis with the potential for a permanent position. In this role, you will turn business needs into reliable reporting, data solutions, and actionable insights that support day-to-day operations and long-term decision-making. The position offers the opportunity to work across analytics, database management, integrations, and process improvement while partnering closely with both technical teams and business stakeholders.<br><br>Responsibilities:<br>• Create, refine, and optimize database queries across multiple query languages to support reporting, analysis, and operational needs.<br>• Partner with internal stakeholders to gather reporting goals, translate requirements into effective dashboards and visualizations, and enhance BI solutions over time.<br>• Build and maintain data interfaces that connect enterprise systems, databases, and external sources to ensure dependable data flow.<br>• Administer and monitor on-premise and cloud-based databases, helping maintain performance, availability, data quality, and security standards.<br>• Design and deliver custom analytics tools, automated workflows, and data-driven solutions that improve efficiency and align with business priorities.<br>• Provide advanced troubleshooting and support for BI, reporting, and analytics platforms, including handling escalated issues and assisting frontline support when needed.<br>• Prepare and update technical documentation for reports, integrations, databases, automated processes, and other data solutions.<br>• Contribute to ETL and pipeline activities that support consistent data transformation, movement, and accessibility across platforms.
<p>We are looking for a Data Analyst to support reporting, data interpretation, and decision making. This role turns business questions into clear data plans, builds practical reporting solutions, and delivers insights that non-technical stakeholders can use confidently. The position works across multiple databases and reporting tools to organize information, evaluate trends, and present findings in a concise and meaningful way.</p><p><br></p><p>Responsibilities:</p><p>• Translate stakeholder needs into organized data extraction and reporting approaches that support business decisions.</p><p>• Develop clear reports, analytical summaries, and impact models that make complex information accessible to operational teams.</p><p>• Query source systems and work with database structures, tables, and stored procedures across multiple platforms to gather accurate data.</p><p>• Combine information from different datasets to create reliable measures, validate results, and connect summary trends to detailed records.</p><p>• Build and maintain Excel-based dashboards, pivot-driven analyses, and presentation materials for business review discussions.</p><p>• Use SQL, Excel, Power BI, and presentation tools to deliver recurring and ad hoc analysis for business partners.</p><p>• Interpret relational data structures and support reporting solutions that align with data warehouse and schema design principles.</p><p>• Ensure all analytical work is completed with accuracy, professionalism, and consistency with organizational standarss</p>
<p>We are looking for a Data Analyst I to support operational reporting and continuous improvement efforts in Phoenix, AZ. This is a long-term contract position for someone who enjoys examining data, uncovering patterns, and turning findings into practical process enhancements. The role suits a proactive individual who investigates issues thoroughly, works well with cross-functional partners, and brings a thoughtful approach to solving business problems.</p><p><br></p><p>Responsibilities:</p><p>• Review reporting outputs and workflow activity to spot recurring issues, performance patterns, and opportunities to improve efficiency.</p><p>• Examine underlying causes of operational challenges and recommend practical changes that reduce repeat work and support lasting improvement.</p><p>• Analyze ticket and process data to identify bottlenecks, highlight trends, and inform better day-to-day business decisions.</p><p>• Research unfamiliar or complex issues independently and work toward timely, well-supported resolution.</p><p>• Create clear documentation for findings, recommendations, and updated procedures so improvements can be consistently applied.</p><p>• Partner with internal stakeholders to simplify workflows, remove unnecessary steps, and strengthen overall operational effectiveness.</p><p>• Support ongoing refinement of reporting and business processes through structured analysis and follow-through on identified actions.</p>
We are looking for a Data Reporting Analyst to support critical HR-related data, reporting, and system operations for an organization based in Cleveland, Ohio. This Long-term Contract position offers the opportunity to work in a hybrid environment while helping maintain reliable data processes, reporting accuracy, and day-to-day system performance across multiple functional areas. The role is well suited for someone who combines strong analytical ability with hands-on experience in enterprise HR systems and can contribute to both operational support and process improvement.<br><br>Responsibilities:<br>• Oversee daily support activities for HR, payroll, benefits, student employment, and related data systems to help ensure consistent operations.<br>• Investigate and resolve system and data issues across enterprise platforms, partnering with technical teams and business stakeholders as needed.<br>• Coordinate testing efforts for updates, patches, and system enhancements to confirm functionality, accuracy, and compliance.<br>• Administer user access, approval structures, and organizational security settings that affect HR and payroll processes.<br>• Perform data validation, cleanup, reconciliation, and documentation activities to support accuracy across PeopleSoft, Workday, and connected systems.<br>• Develop recurring and on-demand reports, including compliance-focused reporting and responses to formal data requests.<br>• Analyze workflows, reporting structures, and system controls to identify opportunities for stronger efficiency and data quality.<br>• Support activities related to system transition efforts by helping maintain clean data, reliable reporting, and documented processes across platforms.
We are looking for a Data Scientist to join a fast-paced investment environment in New York, New York, where data-driven insight plays a central role in research and decision-making. This position will focus on turning complex datasets into practical analysis, scalable tools, and clear intelligence that support investment ideas. The ideal candidate brings strong technical depth, sound statistical judgment, and the ability to shape loosely defined questions into structured, repeatable research.<br><br>Responsibilities:<br>• Work closely with investment professionals to create quantitative studies, analytical frameworks, and practical tools that strengthen fundamental research workflows.<br>• Identify promising alternative data sources, assess their relevance and quality, and support their integration into the research process.<br>• Design and execute backtests, predictive models, and exploratory investigations to evaluate and refine investment hypotheses.<br>• Produce and maintain analyst-facing dashboards and reporting views within internal analytics environments.<br>• Convert one-off research requests into repeatable, clearly documented analyses that can be reused and scaled over time.<br>• Partner with engineering teams to define data needs, support ingestion processes, and improve dataset availability for research use.
We are looking for a Data Scientist to support AI and machine learning initiatives that advance patient care, research, and operational decision-making in Palo Alto, California. This is a Contract position focused on turning healthcare data into practical, high-impact solutions through model development, validation, and deployment. The role works closely with clinical, research, and operational partners to translate complex problems into scalable analytical approaches while maintaining strong standards for quality, fairness, and performance.<br><br>Responsibilities:<br>• Create, implement, and support AI- and ML-driven workflows that improve clinical, research, and administrative processes.<br>• Partner with cross-functional stakeholders to define analytical needs and deliver data science solutions aligned with healthcare use cases.<br>• Assess and refine tools, platforms, and methods used to manage model development, deployment, and ongoing lifecycle activities.<br>• Train, test, and validate internally developed or externally sourced machine learning models using hospital data and established quality controls.<br>• Perform bias reviews and model performance checks to help ensure responsible and reliable use of predictive algorithms.<br>• Analyze large-scale healthcare datasets using Python, R, SQL, and cloud-based or distributed computing environments.<br>• Work alongside clinicians and researchers to adapt analytical methods for real-world use in care delivery and related settings.
We are looking for a Data Analyst III to join a team in Windsor, Connecticut, where you will help connect data sources, support reporting needs, and resolve integration-related issues across business systems. This Long-term Contract position is well suited for someone with early to mid-level experience who is comfortable working with databases, APIs, and Power BI while partnering with both business and technical teams. The role offers the opportunity to turn operational needs into practical reporting solutions, improve data reliability, and assist users through clear communication and analysis.<br><br>Responsibilities:<br>• Build, revise, and support SQL queries and stored procedures to deliver reliable data for reporting and operational use.<br>• Contribute to system integration efforts by assisting with API connectivity, monitoring data flows, and investigating interface problems.<br>• Create and refine Power BI dashboards and reports that present meaningful insights for business users and stakeholders.<br>• Gather business needs from cross-functional partners and convert those needs into clear technical specifications and data solutions.<br>• Work closely with IT and project teams during development, testing, deployment, and follow-up issue resolution activities.<br>• Provide support to internal teams and external customers by answering questions, researching data concerns, and clarifying integration behavior.<br>• Perform initial debugging and help identify root causes for reporting discrepancies, data defects, and system-related errors.<br>• Review data outputs for consistency and accuracy to help maintain strong data quality across reports and integrated platforms.