<p>Robert Half is hiring! We are looking for a Data Analyst to join our team in Greenville, South Carolina. In this role, you will combine technical expertise, analytical thinking, and team leadership to drive data-focused initiatives that support business goals. This position offers the opportunity to guide projects, collaborate with cross-functional partners, and strengthen the quality and efficiency of data solutions across the organization.</p><p><br></p><p>Responsibilities:</p><p>• Guide and support a team of technical contributors by providing mentorship, feedback, and day-to-day leadership.</p><p>• Coordinate concurrent data and operational initiatives, helping set priorities and keep deliverables on track.</p><p>• Work closely with developers and technical partners to address complex issues and enhance existing data solutions.</p><p>• Contribute to project planning by organizing workloads, aligning timelines, and keeping stakeholders informed of progress.</p><p>• Champion effective practices for database management, automation, system integrations, testing, documentation, and production support.</p><p>• Identify opportunities to refine workflows, improve team standards, and increase overall operational efficiency.</p><p>• Collaborate with business partners to understand requirements and translate them into practical, scalable technical outcomes.</p>
<p>We are seeking a Data Analyst with strong Azure and Power BI experience to help transform business data into actionable insights. This role will work closely with stakeholders to build reporting solutions, analyze trends, and support data-driven decision-making.</p><p>Responsibilities</p><ul><li>Develop and maintain Power BI dashboards and reports</li><li>Analyze large datasets to identify trends, patterns, and business opportunities</li><li>Create and optimize SQL queries for reporting and analytics</li><li>Support data validation and data quality initiatives</li><li>Partner with business teams to gather reporting requirements</li><li>Build and maintain data models and KPI metrics</li><li>Leverage Azure data services to access and analyze enterprise data</li></ul><p><br></p>
We are looking for a detail-oriented Data Analyst to support fraud detection and investigative analysis efforts in Rockledge, Florida. This Long-term Contract position is ideal for someone who can turn complex data into clear insights that help identify suspicious activity and reduce risk. The role will partner with operational and investigative teams to examine patterns, surface anomalies, and strengthen anti-fraud decision-making.<br><br>Responsibilities:<br>• Analyze large and varied datasets to identify unusual behavior, emerging fraud patterns, and potential risk indicators.<br>• Develop reports, dashboards, and recurring analyses that help stakeholders monitor suspicious activity and make informed decisions.<br>• Partner with fraud prevention and investigation teams to translate business questions into data-driven findings and practical recommendations.<br>• Review transaction and behavioral data to detect inconsistencies, trends, and anomalies that may require deeper examination.<br>• Support fraud investigations by organizing evidence, validating data points, and summarizing findings in a clear and actionable format.<br>• Refine analytical methods and detection logic to improve the accuracy and efficiency of anti-fraud monitoring activities.<br>• Present insights to internal partners in a concise manner, highlighting key risks, root causes, and opportunities for process improvement.
We are looking for a Data Analyst to support revenue cycle performance through thoughtful reporting, data interpretation, and visual analytics in Westerville, Ohio. This contract opportunity with permanent potential is ideal for someone who can turn complex operational and financial data into clear recommendations that help leaders improve patient accounts outcomes. The role partners closely with analytics and revenue cycle stakeholders to build dependable reporting tools, surface performance insights, and guide informed business decisions while handling sensitive information with discretion.<br><br>Responsibilities:<br>• Evaluate revenue cycle and patient accounts data to uncover patterns, variances, and opportunities that influence operational and financial results.<br>• Gather, clean, transform, and organize data from multiple sources to create consistent datasets for recurring analysis and reporting.<br>• Design, update, and optimize dashboards, scorecards, and automated reports that improve visibility into key performance indicators.<br>• Deliver ad hoc analyses for leadership, translating findings into practical recommendations that support timely decision-making.<br>• Work with managers and business partners to investigate root causes of performance issues and quantify their impact on outcomes.<br>• Present analytical findings through concise written summaries, visualizations, and verbal updates tailored to stakeholder needs.<br>• Maintain clear documentation for data definitions, logic, methodologies, and reporting assets to support transparency and long-term usability.<br>• Collaborate effectively across teams, share knowledge with colleagues, and help maintain workflow coverage when business needs require additional support.
We are looking for a Data Analyst to join an education-focused organization on a contract-to-permanent basis. This role will bring structure and visibility to contract and vendor data by turning scattered information into reliable insights that support renewal planning and procurement decisions. The person in this position will work closely with sourcing, software asset management, finance, and vendor management stakeholders to improve oversight of agreements and help the team operate more proactively. This opportunity is well suited for someone who combines strong analytical ability with hands-on experience in vendor contracts, renewals, and procure-to-pay environments.<br><br>Responsibilities:<br>• Consolidate contract, procurement, finance, and usage information from multiple systems into organized datasets that support accurate tracking and reporting.<br>• Review and cleanse existing records to improve data quality, identify gaps, and create a dependable foundation for renewal and vendor oversight activities.<br>• Analyze upcoming contract expirations and renewal timelines to help the team prioritize actions and reduce reactive management of agreements.<br>• Partner with sourcing leads, software asset management professionals, and vendor management stakeholders to evaluate vendor portfolios and support governance reviews.<br>• Generate reports and spreadsheets that highlight contract status, vendor tiering, financial considerations, and lifecycle activity for decision-makers.<br>• Extract and interpret information from platforms such as Coupa, ServiceNow, finance tools, and other contract repositories to build useful business insights.<br>• Support vendor lifecycle and procure-to-pay analysis by identifying trends, tracking obligations, and improving visibility across active agreements.<br>• Collaborate with internal teams and external vendors to validate contract details, resolve discrepancies, and maintain consistent records across systems.
We are looking for a Data Analyst to join an education-focused organization in Cambridge, Massachusetts on a contract basis with the potential to become permanent. This role will help bring structure and visibility to contract and vendor information by turning fragmented data into clear, actionable insights. The person in this position will work closely with sourcing, software asset management, procurement, finance, and vendor partners to support renewal planning, vendor oversight, and operational decision-making.<br><br>Responsibilities:<br>• Consolidate contract, procurement, finance, and usage information from multiple systems into a reliable dataset that supports informed planning and reporting.<br>• Review and cleanse vendor and contract records to improve data accuracy, consistency, and accessibility across the contract lifecycle.<br>• Analyze upcoming renewal activity and build tracking methods that help the team manage deadlines, priorities, and follow-up actions more proactively.<br>• Partner with sourcing leads, software asset management specialists, and vendor management stakeholders to support governance reviews and vendor segmentation efforts.<br>• Extract and organize information from platforms such as Coupa, ServiceNow, finance applications, and spreadsheet-based workbooks for operational analysis.<br>• Develop reports, summaries, and Excel-based analyses that highlight renewal status, spend patterns, contract risks, and vendor trends.<br>• Support procure-to-pay and vendor lifecycle processes by identifying gaps in documentation, data alignment, and process visibility.<br>• Collaborate with external vendors and internal business partners to validate contract details, resolve discrepancies, and improve record completeness.
<p>Robert Half is partnering with one of its clients for a true entry level data analysis project. Role is expected to be 2 to 3 months in length. Expectations are to help with an excel reconciliation project. Great opportunity to build out a resume!</p><p><br></p><p>Responsibilities:</p><p>• Examine records to identify duplicate entries, inconsistencies, and data quality issues.</p><p>• Use Excel formulas and analytical techniques to organize, validate, and reconcile large sets of information.</p><p>• Investigate irregular payment patterns and summarize findings for internal stakeholders.</p><p>• Clean and update datasets to improve accuracy, consistency, and reporting reliability.</p><p>• Maintain clear documentation of data issues, corrective actions, and recurring trends.</p><p><br></p>
We are looking for a Data Analyst to join a healthcare organization in Bloomington, Minnesota, and turn complex data needs into clear, actionable reporting solutions. This role partners with internal stakeholders to define reporting objectives, develop reliable analyses, and deliver insights that support informed operational and business decisions. The ideal candidate brings strong technical ability, careful attention to accuracy, and a service-oriented approach to improving reporting tools and data usability.<br><br>Responsibilities:<br>• Partner with departments across the organization to clarify reporting goals, uncover the underlying business question, and identify the most effective analytical approach.<br>• Create, maintain, and enhance recurring and ad hoc reports using existing data sources, presenting information in formats that are easy for end users to understand and apply.<br>• Translate user needs into reporting specifications, then coordinate validation and testing to confirm that delivered outputs are accurate and aligned with expectations.<br>• Analyze datasets with appropriate statistical and logical methods to produce meaningful findings that support decision-making.<br>• Explain report content, data definitions, and inclusion or exclusion criteria so stakeholders can interpret results with confidence.<br>• Work with cross-functional teams to identify opportunities for better automation, stronger reporting processes, and more efficient delivery of analytics services.<br>• Troubleshoot reporting issues, correct defects, and implement updates when changes in business logic or system development affect existing outputs.<br>• Maintain documentation for completed requests, update shared libraries and project tracking tools, and support planning activities related to timelines and deliverables.<br>• Perform audits of key reports, assist with analytics database testing, and contribute user stories or feedback to help ensure data accuracy and system performance.<br>• Review report usage trends, provide ongoing user education, and recommend enhancements that increase adoption and improve report functionality.
We are looking for a Data Analyst to support fraud detection efforts through thoughtful analysis, investigative insight, and data-driven decision-making. This Long-term Contract position is based in Scottsdale, Arizona, and offers the opportunity to work with teams focused on identifying suspicious activity and strengthening anti-fraud strategies. The ideal candidate will combine strong analytical skills with practical experience reviewing fraud patterns, interpreting complex datasets, and helping improve investigative outcomes.<br><br>Responsibilities:<br>• Analyze large datasets to identify unusual behavior, emerging fraud trends, and potential risk indicators.<br>• Review suspicious activity and translate findings into clear insights that support fraud prevention and investigative actions.<br>• Partner with fraud, operations, and business teams to develop reporting that improves visibility into high-risk activity.<br>• Examine transaction and behavioral data to uncover patterns that may indicate fraudulent conduct.<br>• Create dashboards, summaries, and recurring reports that help stakeholders monitor fraud-related performance metrics.<br>• Support fraud investigations by gathering, organizing, and interpreting relevant data from multiple sources.<br>• Recommend analytical approaches that enhance anti-fraud monitoring and strengthen detection capabilities.
We are looking for a Data Analyst to support a financial services organization in Boston, Massachusetts through a Long-term Contract engagement. This position focuses on portfolio and investment data within a private equity setting, helping teams improve reporting accuracy, streamline data processes, and turn complex business needs into reliable technical solutions. The ideal candidate brings strong analytical judgment, hands-on experience with Chronograph, and the ability to work closely with investment, finance, operations, and technology partners.<br><br>Responsibilities:<br>• Manage the collection, organization, and maintenance of portfolio-company data to support reporting and analysis across private equity and alternative investment activities.<br>• Translate business objectives into clear data definitions, rules, and technical requirements for reporting and workflow improvements.<br>• Perform data mapping, transformation, validation, and reconciliation activities to ensure consistency and accuracy across multiple data sources.<br>• Partner with investment professionals, finance teams, portfolio operations, and technology stakeholders to deliver dependable data solutions aligned with business priorities.<br>• Monitor data quality, investigate inconsistencies, and drive issue resolution through root-cause analysis and corrective actions.<br>• Support reporting processes by preparing and validating financial, operational, and investment-related datasets and key performance indicators.<br>• Use tools such as Snowflake and Microsoft Azure to assist with data processing, storage, and analysis in a controlled environment.<br>• Contribute to data migration and workflow enhancement initiatives where portfolio and investment data must be integrated or restructured.
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.
We are looking for a Data Analyst to join a financial services organization in Moline, Illinois on a contract-to-permanent basis. In this role, you will turn business questions into clear technical requirements and help teams use data to make informed decisions. You will work closely with stakeholders across business, technology, and security functions to support the development of reliable reporting and analytics solutions.<br><br>Responsibilities:<br>• Partner with business teams to gather, clarify, and document reporting and analytics needs in a way that supports technical development.<br>• Convert business objectives into detailed specifications for data products, dashboards, and reporting solutions.<br>• Act as a key connection point between operational stakeholders and analytics teams to ensure requirements are complete, accurate, and actionable.<br>• Create meaningful visualizations and data narratives that help associates and members understand trends, performance, and opportunities.<br>• Support the design and delivery of business intelligence solutions using reporting and analytics tools aligned with organizational needs.<br>• Collaborate with information technology, data owners, and security partners to maintain data quality and uphold standards for confidentiality, integrity, and availability.<br>• Analyze data sets to identify issues, answer business questions, and recommend practical solutions with minimal supervision.<br>• Contribute to ongoing analytics initiatives by tracking requirements, coordinating feedback, and assisting with related project activities as needed.
<p>We are seeking a detail-oriented and analytical Data Analyst to join our team in Maple Grove, Minnesota. This role is responsible for collecting, analyzing, and interpreting complex data sets to support business decision-making, operational performance, and strategic planning. The ideal candidate will have advanced expertise in Microsoft Excel and proven experience in market forecasting, trend analysis, and reporting.</p><p><br></p><p>Key Responsibilities</p><p><br></p><ul><li>Analyze large data sets to identify trends, patterns, and actionable business insights.</li><li>Develop and maintain dashboards, reports, and models to support leadership decision-making.</li><li>Use advanced Excel functions to manipulate, summarize, and analyze data, including:</li><li>PivotTables and PivotCharts</li><li>XLOOKUP, INDEX/MATCH, SUMIFS, COUNTIFS</li><li>Nested IF statements</li><li>Power Query</li><li>Data validation</li><li>Conditional formatting</li><li>Advanced formulas and financial/statistical functions</li><li>Build and refine market forecasting models to project sales, demand, revenue, and business trends.</li><li>Partner with cross-functional teams to gather reporting requirements and deliver meaningful analysis.</li><li>Monitor key performance indicators and provide recommendations based on findings.</li><li>Ensure data integrity, accuracy, and consistency across reporting systems.</li><li>Present analytical findings to stakeholders in a clear, concise, and business-friendly manner.</li><li>Support budgeting, planning, and strategic initiatives through data-driven forecasting and scenario analysis.</li><li>Identify opportunities to improve reporting processes and increase efficiency through automation and best practices.</li></ul><p><br></p>
We are looking for a detail-oriented Data Analyst to support fee schedule oversight and claims-related analysis for healthcare programs. This Long-term Contract position will focus on monitoring reimbursement updates, identifying discrepancies, and helping maintain accurate configuration outcomes for a distributed team. Based in Minneapolis, Minnesota, this opportunity is well suited for someone who understands procedure coding, public payer reimbursement structures, and data validation in Excel. Flexible daytime hours are available, and the role offers the chance to contribute to high-visibility operational work in a remote environment.<br><br>Responsibilities:<br>• Review monthly Medicaid reimbursement updates across multiple states and document changes that affect fee schedule accuracy.<br>• Track quarterly Medicare fee schedule revisions and translate findings into clear analysis for internal stakeholders.<br>• Analyze daily claims reporting to identify pricing or configuration issues tied to fee schedules and coding logic.<br>• Investigate variances in claim outcomes by comparing procedure codes, payer rules, and reimbursement references.<br>• Support ongoing fee schedule maintenance by validating data elements used in system configuration activities.<br>• Collaborate with a nine-member remote team to monitor operational trends and help resolve reimbursement-related exceptions.<br>• Prepare organized Excel-based summaries, trackers, and audit files to support routine review cycles and issue follow-up.
We are looking for a detail-oriented Data Analyst to support long-term research and data validation initiatives in New York, New York. This is a Long-term Contract position focused on building reliable company intelligence through careful analysis of corporate structures, ownership relationships, and transaction activity. The ideal candidate will combine strong investigative research skills with a disciplined approach to data accuracy, organization, and consistency across complex datasets.<br><br>Responsibilities:<br>• Investigate public and internal information sources to compile organized records of companies, related entities, and corporate affiliates.<br>• Clean and align company names, identifiers, and reporting structures so information remains consistent across datasets.<br>• Map ownership connections by documenting parent organizations, subsidiaries, and other entity relationships.<br>• Examine corporate events such as mergers, acquisitions, divestitures, and reorganizations to capture relevant transaction details.<br>• Review and interpret data from multiple sources, then sort, filter, and refine findings according to defined research criteria.<br>• Perform validation checks to confirm records are accurate, complete, and formatted to established standards.<br>• Identify unclear, missing, or conflicting information and escalate items that require additional research or clarification.
<p><strong>Job Summary</strong></p><p>We are seeking a Data Analyst with strength in data visualization and the use of AI tools to support reporting, dashboard development, and business insights. This role will transform data into meaningful visual outputs, identify trends, and help improve decision-making through modern analytical tools. The ideal candidate is curious, analytical, and skilled at presenting data in a clear and impactful way.</p><p><strong>Key Responsibilities</strong></p><ul><li>Analyze data from multiple sources to identify trends and insights</li><li>Build dashboards, reports, and visualizations for business users</li><li>Support data quality, validation, and cleansing efforts</li><li>Use AI-enabled tools to streamline analysis and reporting workflows</li><li>Translate business questions into actionable data outputs</li><li>Partner with stakeholders to define reporting needs</li><li>Present findings in a clear, concise, and visually effective format</li><li>Support process improvement and automation initiatives</li></ul><p><br></p>
We are looking for a Data Analyst to support a long-term contract engagement in Middletown, Delaware. This position is ideal for someone who combines strong technical integration expertise with a practical understanding of accounting-related systems, especially within QuickBooks desktop environments. The role will focus on assessing data flow, identifying efficient integration approaches, and helping business stakeholders turn operational needs into workable technical solutions.<br><br>Responsibilities:<br>• Evaluate existing systems and recommend effective integration approaches between QuickBooks desktop platforms and related business applications.<br>• Review DataForma capabilities and determine practical options for connecting, exchanging, or synchronizing information across systems.<br>• Analyze current data structures to support imports, exports, migration planning, and process automation opportunities.<br>• Work closely with business users to gather needs, clarify challenges, and translate operational goals into technical recommendations.<br>• Troubleshoot data movement issues and help define reliable methods for improving accuracy, consistency, and efficiency.<br>• Support project execution by documenting integration logic, data handling requirements, and solution considerations for stakeholders.<br>• Collaborate with onsite and remote teams to ensure proposed solutions align with system access constraints and project timelines.
<p>We are looking for a Data Analyst. In this role, you will turn complex business and project data into clear reporting that helps leaders improve performance, measure progress, and make informed decisions. The position is well suited for someone who enjoys building dashboards, uncovering trends, and working closely with stakeholders across the organization. You will play a key role in strengthening visibility into operations through accurate analysis, practical insights, and scalable reporting solutions.</p><p><br></p><p>Responsibilities:</p><p>• Examine information from multiple platforms and datasets to identify meaningful patterns, exceptions, and performance insights.</p><p>• Create and refine Power BI dashboards and visual reports that support operational monitoring and leadership decision-making.</p><p>• Develop core reporting tools for business operations, project oversight, and executive-level performance measurement.</p><p>• Produce scheduled and on-demand analyses that translate data findings into useful recommendations for internal teams.</p><p>• Track department metrics and key indicators to highlight progress, risks, and areas requiring attention.</p><p>• Collaborate with managers and business partners to define reporting needs and convert them into effective analytics solutions.</p><p>• Review source data for completeness and accuracy to maintain dependable and consistent reporting across functions.</p><p>• Analyze trends and irregularities to uncover opportunities for process improvement and stronger business outcomes.</p><p>• Communicate findings to management through clear summaries, visualizations, and actionable recommendations.</p><p>• Support project-focused reporting by working with Microsoft Project data and helping streamline reporting through automation.</p>
We are looking for a Data Analyst to support reliable data operations and help maintain the flow, quality, and usability of critical information across the organization. This role is based in Nashville, Tennessee, and is well suited for someone who combines strong Python and SQL skills with a methodical approach to troubleshooting data issues. The person in this position will work closely with technical teams and business partners to identify problems, improve pipeline performance, and keep stakeholders informed in a fast-paced environment.<br><br>Responsibilities:<br>• Oversee daily data processing activities to identify failed loads, broken workflows, or feed issues and take prompt action to restore normal operations.<br>• Investigate delays in incoming data, determine underlying causes, and implement corrective steps to improve consistency and timeliness.<br>• Collaborate with internal technology teams, delivery partners, and external vendors to communicate status updates, risks, and progress on data-related work.<br>• Troubleshoot coding and data quality problems, fulfill support requests, and develop practical measures that reduce repeat incidents.<br>• Evaluate competing issues independently, set priorities based on business impact, and recommend improvements to inefficient code or operational processes.<br>• Maintain clear documentation and provide regular communication so stakeholders understand incidents, resolutions, and next steps.<br>• Participate in an on-call support rotation to respond to pipeline or data availability incidents when needed.<br>• Contribute to additional operational and analytical initiatives that strengthen data reliability and support organizational goals.
We are looking for a Data Analyst to support enterprise decision-making through advanced analytics, business intelligence, and data-driven recommendations. This Long-term Contract position is based in Boca Raton, Florida, with remote work flexibility and occasional travel as needed. The person in this role will turn complex operational and financial data into clear insights, practical reporting tools, and predictive models that help leaders improve performance and identify new opportunities.<br><br>Responsibilities:<br>• Analyze current and historical business data to uncover trends, risks, and opportunities that influence operational and strategic outcomes.<br>• Create and maintain dashboards, scorecards, and key performance indicators that give leadership clear visibility into business performance.<br>• Write advanced SQL queries and use Python to extract, transform, and evaluate large datasets from multiple enterprise platforms.<br>• Translate analytical findings into concise recommendations, executive-ready presentations, and decision support materials for senior stakeholders.<br>• Develop statistical, forecasting, and automated analytical solutions that strengthen reporting efficiency and business planning.<br>• Partner with operations, quality, finance, IT, business intelligence, and data science teams to define requirements and deliver practical analytics solutions.<br>• Perform ad hoc analysis in support of strategic initiatives, leadership requests, and continuous improvement efforts.<br>• Validate data integrity, investigate anomalies, and coordinate with technical teams to resolve data quality issues.<br>• Build repeatable analytical workflows and reusable code that reduce manual effort and improve scalability across reporting processes.
<p>Robert Half is working with a client in the metro-Atlanta area seeking a Data Analyst.</p><ul><li>Build reports and dashboards</li><li>Analyze trends and datasets</li><li>Write SQL queries</li><li>Clean and validate data</li><li>Present insights to stakeholders</li><li>Support business decisions</li></ul>
<p>We are looking for a detail-oriented Data Analyst to support operations in Irvine, California through accurate data management and insightful reporting. This Long-term Contract position focuses on maintaining data quality, producing timely analyses, and helping stakeholders review financial and operational information with confidence. The role is well suited for someone who is comfortable working with large datasets, identifying irregular patterns, and using Power BI to turn information into clear business insight.</p><p><br></p><p>Responsibilities:</p><p>• Maintain and update datasets to ensure records remain complete, accurate, and ready for reporting needs.</p><p>• Prepare ad hoc analyses and recurring reports that help teams monitor business performance and respond to emerging questions.</p><p>• Review financial information for consistency, highlight unusual findings, and support follow-up analysis when discrepancies appear.</p><p>• Build and refine Power BI dashboards and visual reports that present trends, exceptions, and key metrics in a clear format.</p><p>• Examine transactional and operational data to detect suspicious activity and contribute to fraud-related analysis efforts.</p><p>• Support investigations by organizing relevant data, validating source information, and summarizing findings for internal stakeholders.</p><p>• Perform routine data quality checks and resolve inconsistencies to improve reliability across reporting outputs.</p>
<p><strong>Data Analyst I</strong></p><p><strong>Location: Hybrid, 4 days onsite / 1 day remote </strong></p><p><strong>Duration: Contract with potential for full-time conversion</strong></p><p><br></p><p>This entry-level Data Analyst opportunity is ideal for a highly curious, analytical, and proactive problem solver who enjoys identifying trends, investigating issues, improving processes, and driving operational efficiency. The role focuses on root cause analysis, process optimization, and collaborating with business partners to create sustainable operational improvements.</p><p><br></p><p><strong>Responsibilities:</strong></p><ul><li>Identify trends, recurring issues, and opportunities for process improvement across operational workflows</li><li>Investigate root causes of issues and implement sustainable corrective actions</li><li>Analyze data from daily reports, closed tickets, and workflow activities to improve operational efficiency</li><li>Research, troubleshoot, and resolve complex or unfamiliar issues</li><li>Document findings, recommendations, process updates, and operational changes</li><li>Partner with stakeholders to streamline processes and eliminate unnecessary work</li><li>Monitor workflow performance and recommend enhancements to improve business outcomes</li><li>Support continuous improvement initiatives through data-driven analysis and problem-solving</li></ul>
We are looking for a Data Scientist to join a healthcare-focused analytics team in Texas, where you will turn complex data into practical insights and scalable solutions. This contract position with the potential to become permanent is ideal for someone who combines strong statistical knowledge with curiosity, business acumen, and a passion for solving meaningful problems. You will work closely with technical and business partners to design predictive models, improve data quality, and communicate findings that support informed decision-making.<br><br>Responsibilities:<br>• Transform large, complex datasets into actionable insights by exploring trends, identifying patterns, and uncovering opportunities that support business goals.<br>• Build, test, and refine machine learning models and predictive solutions that improve decision-making and deliver measurable value.<br>• Prepare structured and unstructured data for analysis through cleansing, validation, and preprocessing to ensure reliability and usability.<br>• Strengthen data acquisition practices by recommending improvements that capture the information needed for advanced analytics initiatives.<br>• Partner with business leaders, analysts, and IT teams to define problems, evaluate options, and shape data-driven strategies.<br>• Communicate analytical findings through clear narratives, presentations, and visualizations that make complex results easy to understand.<br>• Create impactful dashboards and visual tools that highlight performance gaps, emerging opportunities, and areas for operational improvement.<br>• Facilitate discussions with stakeholders to gather requirements, iterate on analytical approaches, and align solutions with business needs.<br>• Handle sensitive information with discretion while supporting a culture of continuous improvement, accountability, and evidence-based decision-making.
We are looking for a Data Scientist to help strengthen turbine reliability and improve operational visibility across a power generation fleet in Houston, Texas. This position combines hands-on data preparation, advanced analytics, and business reporting to turn complex equipment and performance data into practical insights for engineering and leadership teams. The ideal candidate can move comfortably between developing dashboards, analyzing downtime patterns, and creating predictive tools that support maintenance and performance decisions.<br><br>Responsibilities:<br>• Create and enhance dashboard reporting that highlights fleet financial results, equipment availability, and the primary factors affecting cost and performance.<br>• Convert operational and maintenance data into meaningful metrics and recurring reports for engineering teams, business partners, and leadership stakeholders.<br>• Gather, organize, and refine downtime, outage, and maintenance records from multiple operational sources and field documentation to support reliable analysis.<br>• Evaluate failure and outage events to identify root causes and categorize trends across mechanical, electrical, controls, weather, and grid-related issues.<br>• Build and maintain a dependable historical data set that supports querying, trend analysis, and long-term reliability reviews across the turbine fleet.<br>• Design and implement statistical and machine learning models that anticipate downtime risk, detect component deterioration, and support earlier intervention.<br>• Develop anomaly detection and early alert solutions using sensor and operating data such as vibration, temperature, pressure, and combustion-related measurements.<br>• Partner with reliability, operations, engineering, and asset management teams to validate analytical findings, improve data pipelines, and recommend maintenance strategy adjustments based on observed trends.<br>• Present technical conclusions and business implications clearly to both specialized and non-technical audiences, including management and leadership teams.