<p>Robert Half Management Resources is recruiting for a Procurement Analytics & AI Enablement Consultant to support a procurement-focused transformation effort to support our global entertainment client based in Los Angeles, California. This long-term hybrid contract opportunity is ideal for someone who can turn operational data into clear insights, build scalable reporting solutions, and strengthen team adoption of digital collaboration and AI-enabled tools. The person in this role will partner with stakeholders to improve visibility into priorities, performance, and opportunities through dashboards, automated reporting, and structured knowledge-sharing resources.</p><p><br></p><p>Responsibilities:</p><p>• Create executive-facing dashboards that highlight procurement activity, initiative status, potential value opportunities, and overall performance trends.</p><p>• Develop automated reporting processes by connecting Asana and other relevant data sources to deliver timely, reliable updates with less manual effort.</p><p>• Establish and manage a centralized SharePoint environment that organizes key documents, communications, and reference materials for the broader team.</p><p>• Promote effective use of SharePoint by defining content governance practices and ensuring information remains accurate, current, and easy to locate.</p><p>• Produce practical AI learning materials that help teams apply generative AI to sourcing activities, supplier outreach, proposal review, negotiation support, and reporting tasks.</p><p>• Lead workshops, user training sessions, and support hours to build confidence and increase adoption of AI-driven tools and workflows.</p><p>• Design reusable prompt libraries, templates, and productivity resources that enable more consistent and efficient ways of working.</p><p>• Identify workflow improvement opportunities within Asana and related processes to enhance operational efficiency and strengthen data quality.</p><p>• Support analytics needs tied to large-scale transformation or post-merger integration activities as part of the broader procurement program.</p><p>• Partner with stakeholders to gather feedback and continuously enhance reporting tools and analytics solutions.</p>
We are looking for a Business Analytics/Data Analyst to support finance and operations through in-depth analysis of complex business data in Santa Ana, California. This is a Long-term Contract opportunity expected to run 3 to 6 months, with a hybrid schedule that includes two days onsite each week. The person in this role will translate large datasets into practical reporting, performance insights, and decision support for leadership while working closely with finance and technology stakeholders.<br><br>Responsibilities:<br>• Gather, extract, and organize high-volume financial and operational information from core business systems for analysis and reporting.<br>• Create and refine SQL queries, including developing new queries when needed to access and structure data effectively.<br>• Build dashboards, recurring reports, and visual reporting tools in Power BI and other reporting platforms to support leadership decisions.<br>• Perform advanced analysis and spreadsheet modeling in Excel to evaluate trends, productivity, and business performance.<br>• Develop analytical models tied to operational outcomes such as project costs, workforce efficiency, and employee-related returns.<br>• Deliver custom financial and operational insights on an ad hoc basis for finance leaders and other business stakeholders.<br>• Collaborate with technology partners to improve data access, reporting reliability, and analytical workflows across systems.<br>• Interpret datasets through an accounting and finance lens to ensure reporting aligns with business and financial meaning.<br>• Recreate or rebuild important reporting logic and query-based outputs when legacy processes are not readily available.
<p>Robert Half Management Resources is looking for a Business Analytics/Data Analyst to support one of our clients on an interim basis. This role will contribute to Workday supply chain and procurement efforts by improving data quality, validating converted records, and resolving issues that affect system readiness. The position works closely with project stakeholders to ensure legacy information is accurately prepared, tested, and aligned with business rules in the target environment.</p><p><br></p><p><u>Responsibilities:</u></p><p>• Prepare, map, and transform legacy supply chain and procurement data for upload into Workday using approved conversion tools and templates.</p><p>• Perform detailed comparisons between source records and Workday data to confirm completeness, accuracy, and adherence to defined business rules.</p><p>• Investigate conversion failures and data-related defects, identify root causes, and coordinate fixes for issues affecting inventory, suppliers, requisitions, and purchasing records.</p><p>• Partner with functional leads, analysts, and implementation team members to address data discrepancies and keep conversion activities moving on schedule.</p><p>• Support unit, integration, and broader testing cycles by building reliable data sets and confirming converted information performs correctly in test environments.</p><p>• Use Excel, SQL, and related analysis tools to cleanse, reconcile, and organize large datasets for migration and validation activities.</p><p>• Track issues in project management or defect logging tools and provide clear updates on status, findings, and resolution progress.</p>
<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>About the Role</p><p>Robert Half is seeking a highly analytical and detail-oriented <strong>Data Analyst</strong> for a contract opportunity with an innovative technology company in Milford, Connecticut. This position is ideal for a professional who enjoys transforming complex data into actionable insights and supporting business decisions through reporting, analysis, and data visualization.</p><p>The Data Analyst will collaborate with cross-functional teams to collect, analyze, and interpret data, helping drive operational efficiency and strategic initiatives across the organization.</p><p>Responsibilities</p><ul><li>Collect, validate, and analyze large datasets from multiple sources</li><li>Develop and maintain reports, dashboards, and data visualizations</li><li>Identify trends, patterns, and key performance indicators to support business objectives</li><li>Prepare and present findings to management and key stakeholders</li><li>Perform data cleansing and quality assurance to ensure data accuracy</li><li>Assist with forecasting, business planning, and performance analysis</li><li>Create ad hoc reports and analyses to support departmental initiatives</li><li>Collaborate with IT and business teams to improve reporting processes and data integrity</li><li>Document reporting procedures, metrics, and data definitions</li><li>Support special projects and data-driven decision-making efforts</li></ul><p><br></p>
Our client is seeking an experienced Senior Data Operations Analyst to play a key role in transforming enterprise data into actionable business intelligence. This individual will help drive informed decision-making across underwriting, pricing, claims operations, fraud prevention, and customer experience initiatives while ensuring the organization's reporting environment remains accurate, reliable, and scalable. <br><br><br><br>The successful candidate will serve as a critical liaison between business stakeholders and technical teams, overseeing data validation, reporting accuracy, and data governance efforts across the organization. This role will be responsible for maintaining trusted data assets, identifying and resolving data quality issues, and supporting ongoing modernization initiatives through advanced analytics and reporting solutions. <br><br><br><br>Key Responsibilities<br><br>Maintain and validate centralized data repositories, ensuring data integrity, consistency, and timely availability. <br>Reconcile and verify data across source systems, data warehouses, semantic models, and reporting platforms.<br>Investigate data discrepancies and partner with Data Engineering and QA teams to implement sustainable solutions. <br>Design, develop, and support operational dashboards and reporting solutions using Power BI. <br>Assist with migration of legacy reporting processes to modern business intelligence platforms. <br>Manage datasets, semantic models, report distributions, and reporting governance processes. <br>Collaborate with business leaders to define reporting requirements and establish data standards. <br>Monitor reporting environments and batch processing activities, including month-end, quarter-end, and year-end operations. <br>Drive continuous improvement initiatives focused on operational efficiency, data quality, and reporting effectiveness.<br><br><br>Qualifications<br><br>Experience within the Property & Casualty insurance industry is required<br>Bachelor's degree in Data Science, Statistics, Actuarial Science, or a related discipline preferred. <br>8+ years of data analytics, data operations, or business intelligence <br>Strong technical skills in SQL, Python, Excel, ETL processes, data warehousing, and Power BI. <br>Experience with Microsoft Fabric and Medallion Architecture methodologies.<br>Working knowledge of insurance operations, rating structures, actuarial concepts, risk modeling, and regulatory requirements.<br>Ability to partner effectively with technical teams, business stakeholders, and cross-functional leadership groups. <br>Experience with Origami and/or DXC Assure Claims is a plus.
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.
<p>Robert Half is seeking a Contract Data Analyst to join our client's team. As a Data Analyst, you will be responsible for collecting, processing, and analyzing data to provide actionable insights that support business decisions. This contract position offers an exciting opportunity to work with a dynamic team and help drive data-driven strategies for a respected organization.</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>
<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 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.
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.
<p>Data Analyst</p><p><strong>Job Description</strong></p><p>Seeking a Data Analyst to collect, analyze, and interpret data to help drive business decisions and improve operational performance.</p><p><strong>Responsibilities</strong></p><ul><li>Analyze large datasets and identify trends</li><li>Create reports, dashboards, and visualizations</li><li>Perform data validation and quality checks</li><li>Present findings and recommendations</li><li>Collaborate with cross-functional teams</li></ul>
<p>Robert Half is looking for a detail-oriented Data Analyst to join a Financial Services organization based in the Philadelphia, Pennsylvania area on a contract basis with the potential for a permanent position. In this Data Analyst role, you will support transaction processing, documentation review, fraud screening, and customer-facing coordination to help move finance deals through to completion. The ideal Data Analyst candidate is comfortable working in a fast-paced environment, balancing accuracy with responsiveness while partnering with both internal teams and external business contacts. Put your talents to the test and get your career going in the right direction by clicking the apply button today. If you have any questions, please contact Robert Half at 215-568-4580 and mention job reference #03720-0013511486.</p><p><br></p><p>As a Data Analyst your duties will include but aren't limited too:</p><p>• Partner with business development teams to advance equipment finance transactions, resolve incomplete files, and help drive timely deal closure.</p><p><br></p><p>• Prepare, distribute, track, and maintain finance agreements and supporting records using electronic document platforms for approved transactions.</p><p><br></p><p>• Review executed contracts and funding packages to confirm completeness, accuracy, and compliance with established company policies and controls.</p><p><br></p><p>• Update transaction records in lending and CRM systems to ensure correct billing setup, servicing details, and documentation history.</p><p><br></p><p>• Communicate with customers, vendors, and brokers to address outstanding conditions, clarify agreement terms, and support closing requirements.</p><p><br></p><p>• Conduct welcome calls with new customers to verify key contract details and confirm documentation aligns with approved terms.</p><p><br></p><p>• Perform fraud reviews, due diligence checks, and funding authorization steps while documenting findings thoroughly.</p><p><br></p><p>• Create and issue purchase orders to third-party equipment dealers and provide status updates to internal stakeholders as needed.</p><p><br></p><p>• Contribute to audit readiness, follow internal control procedures, and assist with special projects requested by credit or operations leadership.</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.
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><strong>Pricing/Data Analyst </strong></p><p> </p><p>A client of ours is looking for a Pricing/Data Analyst for a contract. his role is responsible for managing customer membership eligibility, contract participation, pricing validation, and rebate-related data activities across GPOs, IDNs, Specialty Pharmacies, distributors, and other customer channels. The ideal candidate will possess strong analytical capabilities, advanced Excel skills, and direct experience working with Model N in a pharmaceutical environment.</p><p><br></p><p><strong>Responsibilities of Pricing/Data Analyst </strong></p><ul><li>Manage customer membership additions, removals, and eligibility validation for GPOs, IDNs, Specialty Pharmacies, and other contracted customer segments.</li><li>Support membership onboarding activities and contract participation requests while ensuring compliance with approved contract terms.</li><li>Maintain and validate customer master data, including Class of Trade (COT), DEA, HIN, and other customer attributes.</li><li>Coordinate distributor membership communications and electronic data interchange (EDI) membership transmissions.</li><li>Monitor membership disconnects, pricing exceptions, discrepancies, and credit/rebill activity to ensure accurate contract execution.</li><li>Review contract compliance, membership activity, and pricing data utilizing Model N and related systems.</li><li>Analyze customer and contract data to identify inconsistencies, resolve issues, and improve data integrity.</li><li>Partner with internal stakeholders to support pricing operations, membership administration, and contract management initiatives.</li><li>Prepare reports, analyze trends, and provide recommendations to support business decisions and operational efficiency.</li><li>Ensure compliance with pharmaceutical contracting policies, procedures, and customer agreements.</li></ul><p><br></p>
<p><strong>Overview</strong></p><p>We are seeking an experienced Data Analyst to support a large-scale healthcare data and reporting transformation initiative. This role is ideal for a hands-on analyst who is comfortable working with complex datasets, building reports and dashboards, and partnering with business stakeholders to ensure critical reporting remains accurate and available during system transitions. You will play a key role in maintaining reporting continuity, supporting data validation efforts, and delivering actionable insights in a fast-paced environment.</p><p><br></p><p><strong>POSITION: DATA ANALYST</strong></p><p><strong>LOCATION: REMOTE</strong></p><p><strong>DURATION: CONTRACT</strong></p><p><br></p><p><strong>RESPONSIBILITIES:</strong></p><ul><li>Develop, maintain, and enhance reports and dashboards to support business and operational reporting needs.</li><li>Migrate and rebuild reporting assets as data sources and reporting requirements evolve.</li><li>Create and optimize SQL queries to extract, analyze, and validate data from enterprise data warehouse environments.</li><li>Build, maintain, and enhance Power BI reports, dashboards, and semantic data models.</li><li>Analyze reporting requirements and translate business needs into actionable data solutions.</li><li>Validate data accuracy, troubleshoot reporting discrepancies, and partner with technical teams to resolve issues.</li><li>Support data integration, reporting continuity, and analytics initiatives during system and process changes.</li><li>Collaborate with business stakeholders, analysts, and technical teams to prioritize and deliver reporting requests.</li><li>Document report logic, data sources, business rules, and reporting processes.</li><li>Provide analytical support across multiple projects while managing shifting priorities and deadlines.</li></ul>
<p>We are looking for a Data Analyst to turn complex healthcare, financial, and operational data into meaningful insights that guide leadership decisions. This position supports organizational performance by connecting information from clinical and business systems, building practical reporting tools, and highlighting trends that matter. Based in Milwaukee, Wisconsin, the role works closely with finance, operations, and clinical stakeholders to improve visibility, planning, and overall effectiveness. <strong><em>Local candidates to the Greater Milwaukee area with Healthcare Epic experience is desired. </em></strong></p><p><br></p><p>Responsibilities:</p><p>• Create and maintain dashboards, scorecards, and recurring reports that combine Epic data with financial and operational information from connected platforms.</p><p>• Work with leaders across finance, operations, and clinical teams to define measurable indicators and track performance in patient services, revenue activity, and resource use.</p><p>• Gather, clean, and evaluate large datasets to support forecasting, monthly business reviews, and long-range planning initiatives.</p><p>• Present findings in a clear, business-focused format so non-technical stakeholders can understand trends, risks, and opportunities.</p><p>• Collaborate with IT and data governance partners to uphold data accuracy, reporting consistency, and compliance with organizational standards.</p><p>• Identify patterns in clinical and administrative workflows and recommend improvements that increase efficiency and support better decision-making.</p><p>• Contribute to reporting automation and process enhancements that improve speed, reliability, and access to timely performance data.</p>
<p>We are looking for a Data Scientist to join a cutting-edge team in Columbia, SC. This role is suited for a hands-on, detail-oriented individual who can quickly step into an established engineering environment and contribute as an individual contributor alongside a stable, collaborative team. You will work closely with software engineering partners to build data-driven solutions, support analytics initiatives, and apply machine learning and ETL expertise to business needs.</p><p><br></p><p>Responsibilities:</p><p>• Develop, maintain, and improve data pipelines that collect, transform, and prepare information for analytical and operational use.</p><p>• Design and implement machine learning models that address business challenges and support data-informed decision-making.</p><p>• Partner with software engineers, product stakeholders, and quality teams to integrate data science solutions into broader technical workflows.</p><p>• Analyze complex datasets to identify trends, generate insights, and recommend practical next steps based on findings.</p><p>• Step into ongoing initiatives with minimal ramp-up time by reviewing existing work and continuing progress on active projects.</p><p>• Translate business questions into structured analytical approaches, selecting appropriate methods, tools, and validation techniques.</p><p>• Document methodologies, model performance, and data processes to support knowledge sharing and maintainability across the team.</p><p>• Participate in periodic onsite collaboration in Irmo, South Carolina, with in-person attendance expected once per quarter.</p>
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 join our team in Jacksonville, Florida, and deliver advanced analytics solutions that support decision-making in a financial services environment. In this role, you will transform complex data into scalable models, actionable insights, and clear visual narratives for business and technical partners. The ideal candidate brings strong experience across machine learning, big data platforms, and model deployment, along with the ability to turn exploratory concepts into production-ready solutions.<br><br>Responsibilities:<br>• Build, validate, and implement machine learning and predictive analytics solutions that address business needs within banking, payments, or financial services use cases.<br>• Prepare and refine large, complex datasets by performing data cleaning, transformation, and feature development to improve model performance and reliability.<br>• Develop analytical models using statistical and machine learning techniques such as classification, clustering, ensemble methods, and other predictive approaches.<br>• Work with big data tools and distributed processing frameworks to analyze high-volume datasets efficiently and support scalable model development.<br>• Create dashboards, visual reports, and data stories that communicate findings and recommendations to both technical teams and business stakeholders.<br>• Use Databricks capabilities such as collaborative notebooks, experiment tracking, model management, and automated workflows to support end-to-end model development.<br>• Design proof-of-concept initiatives that explore new opportunities, assess business value, and guide the expansion of successful solutions into broader use.<br>• Apply natural language processing methods where appropriate to extract insight from unstructured information and solve business problems.<br>• Partner with cross-functional teams to deploy, monitor, and maintain production-ready models in alignment with governance and operational expectations.
We are looking for a Data Scientist to join a healthcare-focused technology team in Bala Cynwyd, Pennsylvania on a Long-term Contract basis. This position will support predictive analytics initiatives tied to state programs, quality oversight, compliance monitoring, and risk evaluation. The role is well suited for someone who can work comfortably across technical analysis, stakeholder communication, and team guidance while using modern Microsoft-based data tools.<br><br>Responsibilities:<br>• Build and refine predictive models that support healthcare analytics, quality measurement, compliance assessment, and risk-related reporting.<br>• Analyze complex datasets to uncover trends, generate actionable insights, and improve decision-making for program and operational stakeholders.<br>• Create interactive dashboards and reporting solutions in Power BI to present findings in a clear and business-friendly format.<br>• Use R, Python, SQL, and related tools to prepare data, perform statistical analysis, and develop repeatable analytical workflows.<br>• Work within Azure and Microsoft-based data environments, including SQL Server and MySQL, to manage and access structured data sources.<br>• Partner with analysts and business teams to translate technical results into practical recommendations for non-technical audiences.<br>• Provide day-to-day guidance and informal leadership within a small analytics team, helping coordinate priorities and support best practices.<br>• Contribute to data engineering and integration activities, including ETL processes and the use of tools such as Spark, Hadoop, and Kafka where needed.<br>• Leverage approved AI tools such as Copilot to improve efficiency in analysis, documentation, and reporting tasks.
<p>We are looking for a Director of Data Analytics to lead and expand a growing analytics function in Columbia, South Carolina. This leader will combine technical depth with strategic direction to strengthen enterprise reporting, advance data governance practices, and build strong partnerships across the institution. The role is well suited for someone who enjoys balancing hands-on problem solving with team leadership and is ready to shape a modern analytics capability.</p><p><br></p><p>Responsibilities:</p><p>• Lead the institution’s data analytics strategy while serving as a key member of the analytics leadership team.</p><p>• Oversee the development of internal reporting capabilities, reducing reliance on external reporting support and improving access to actionable insights.</p><p>• Guide the continued growth of the analytics team by recruiting, mentoring, and structuring roles across management, engineering, and analyst functions.</p><p>• Partner with administrative and academic stakeholders to understand reporting needs and translate them into scalable data solutions.</p><p>• Direct data warehouse and ingestion efforts to ensure reliable, consistent, and well-organized data for reporting and analysis.</p><p>• Establish and strengthen data governance standards that improve data quality, stewardship, and institutional trust in reporting.</p><p>• Support the evaluation and adoption of business intelligence tools, including cloud-based visualization platforms and enterprise reporting technologies.</p><p>• Contribute both strategically and technically by helping design data architecture, advising on engineering practices, and supporting complex analytics initiatives</p>
<p><strong>Data Analyst I</strong></p><p><strong>4-month Contract with potential extensions/conversion</strong></p><p><strong>Hybrid, 4 days/week onsite in Phoenix, AZ; Shift 6:00am-2:30pm</strong></p><p><br></p><p>We are looking for a detail-oriented Data Analyst I to support operational improvement efforts in Phoenix, AZ. This is a contract position focused on examining workflow data, uncovering recurring issues, and helping the business operate more efficiently. The ideal candidate brings strong curiosity, sound judgment, and a proactive approach to solving problems while working closely with internal stakeholders. This role follows a hybrid schedule with in-office work Monday through Thursday and remote work on Friday.</p><p><br></p><p>Responsibilities:</p><p>• Review reporting and workflow activity to detect patterns, recurring issues, and opportunities to improve day-to-day operations.</p><p>• Conduct root cause analysis on service or process problems and recommend practical, lasting solutions.</p><p>• Investigate complex cases or unfamiliar requests, using research and data analysis to drive resolution.</p><p>• Create clear documentation for findings, process updates, recommendations, and operational changes.</p><p>• Partner with cross-functional teams to simplify procedures, reduce manual effort, and improve consistency.</p><p>• Use tools such as SQL, SharePoint workflows, and reporting platforms to analyze performance and support decision-making.</p><p>• Track closed-ticket activity and related metrics to identify inefficiencies and support continuous improvement initiatives.</p><p>• Contribute to process changes and workflow enhancements that strengthen service quality and operational effectiveness.</p>
<p>We are looking for a detail-oriented Master Data Analyst to support an organization in Canton, Ohio. This Long-term Contract opportunity is ideal for someone who combines strong analytical thinking with precise data maintenance and enjoys working across business teams to improve data quality. In this role, you will help strengthen master data processes, support governance efforts, and ensure reliable information is available for operational and planning needs.</p><p><br></p><p>Responsibilities:</p><p>• Manage the accuracy and completeness of master data records across key business domains, including product, vendor, and planning information.</p><p>• Support data alignment activities between legacy platforms and Microsoft Dynamics 365 by reviewing records, validating changes, and helping maintain consistency across systems.</p><p>• Investigate data issues, identify root causes, and resolve discrepancies through research, analysis, and coordination with internal stakeholders.</p><p>• Maintain and update mapping documentation used for data conversion, validation, and ongoing master data control.</p><p>• Perform routine audits and quality checks to verify that data standards are followed and records remain reliable for business use.</p><p>• Work closely with teams in Master Data Management, Supply Chain, Operations, Planning, and IT to improve consistency and usability of enterprise data.</p><p>• Contribute to data governance and stewardship initiatives by helping define, apply, and reinforce data management practices.</p><p>• Assist with the setup and maintenance of item numbering frameworks across products and locations to support standardized data structures.</p><p>• Recommend process enhancements that improve efficiency, data quality, and master data management standards over time.</p>