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 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.
We are looking for an experienced Data Analyst to join a mission-driven non-profit organization in Battle Creek, Michigan. This onsite position is ideal for someone who is detail oriented and can quickly step into a lean team environment and turn complex information into clear, decision-ready reporting. The role centers on analyzing data, developing impactful dashboards, and supporting fraud-focused insights through strong business intelligence practices.<br><br>Responsibilities:<br>• Analyze organizational data to identify trends, patterns, and actionable insights that support reporting needs and operational decisions.<br>• Build and maintain Power BI dashboards and reports that present information in a clear, accurate, and useful format for stakeholders.<br>• Produce recurring and ad hoc reports to meet business needs, with a focus on timely and reliable delivery.<br>• Support fraud-related analysis by reviewing data for irregularities, risk indicators, and areas requiring further investigation.<br>• Work with data sources and warehousing structures to improve reporting quality, consistency, and accessibility.<br>• Collaborate closely with a small onsite team, contributing independently while helping strengthen overall analytics capacity.<br>• Translate raw data into business intelligence outputs that help leadership monitor performance and make informed choices.
<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>
<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>
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 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 looking for a detail-oriented Data Analyst to support master data operations in Park Ridge, New Jersey. This Long-term Contract position focuses on maintaining data accuracy, strengthening reporting support, and helping business teams manage critical information efficiently. The ideal candidate will collaborate across departments, investigate data issues, and contribute to process improvements that support reliable day-to-day operations.</p><p><br></p><p>Responsibilities:</p><p>• Create and maintain master data records in enterprise systems to support business needs and operational accuracy.</p><p>• Partner with cross-functional teams to understand how core data elements connect to internal workflows and business activities.</p><p>• Work closely with departments across the organization to ensure timely, complete, and accurate entry of critical data.</p><p>• Support communication among stakeholders to improve coordination, clarify data requirements, and streamline information flow.</p><p>• Help develop practical templates, reference materials, and process documentation to improve routine master data activities.</p><p>• Extract, organize, and prepare data from multiple tables to assist with reporting, uploads, and business requests.</p><p>• Review data for inconsistencies, investigate discrepancies, and take corrective action to improve data quality.</p><p>• Provide additional support on assigned master data tasks and contribute to ongoing process enhancement efforts.</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 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 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-focused Data Analyst to join a Contract assignment supporting high-volume contract and billing data validation in Scottsdale, Arizona. This role is ideal for someone who works accurately with structured information, understands how contract terms affect invoicing, and can manage repetitive tasks without losing precision. The position will involve reviewing large volumes of records, entering and aligning key data elements, and participating in quality checks to help ensure customer billing information is accurate.<br><br>Responsibilities:<br>• Review contract and billing records to identify, compare, and align critical data elements such as rates, customer details, and related agreement information.<br>• Enter and update information in company systems with a high degree of accuracy to support correct invoicing outcomes.<br>• Process a substantial number of contracts efficiently while maintaining close attention to detail across each transaction.<br>• Perform validation checks on completed entries and support end-of-process reviews to confirm data integrity.<br>• Work with internal billing resources to clarify discrepancies, resolve record issues, and improve accuracy in contract-related data.<br>• Support data preparation efforts tied to imported records by matching fields and confirming consistency across systems.<br>• Attend training sessions and participate in scheduled morning meetings while maintaining availability within the required business timezone.<br>• Use an employer-issued laptop and follow established procedures for handling sensitive financial and customer information.
<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><strong>Division Order & Unclaimed Property Analyst (Temp)</strong></p><p><strong>Location:</strong> North Oklahoma City, OK</p><p><strong>Schedule:</strong> 100% Onsite</p><p><strong>Duration:</strong> 1-2 Month Temporary Assignment</p><p><strong>Pay:</strong> Equivalent of $60,000-$80,000 annually, depending on experience</p><p><br></p><p><strong>Position Overview</strong></p><p>We are seeking an experienced <strong>Division Order & Unclaimed Property Analyst</strong> for a short-term project with a growing midstream organization in North Oklahoma City. This role will focus on reviewing and processing unclaimed property and escheatment activities while supporting division order functions. The ideal candidate will have prior experience in the oil & gas industry, specifically within a midstream environment, and possess a strong understanding of owner records, compliance requirements, and division order processes.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Review and research outstanding owner payments and unclaimed property items.</li><li>Prepare and process escheatment filings in accordance with applicable state regulations.</li><li>Analyze owner records and identify discrepancies requiring correction or follow-up.</li><li>Support division order activities, including ownership maintenance, transfer documentation, and ownership updates.</li><li>Research returned mail, stale-dated checks, and dormant accounts to determine proper disposition.</li><li>Ensure compliance with company policies and state unclaimed property requirements.</li><li>Coordinate with accounting, land, and owner relations teams to resolve ownership and payment issues.</li><li>Maintain accurate documentation and audit-ready records related to unclaimed property and division order transactions.</li><li>Assist with special projects and data cleanup efforts related to ownership and revenue records.</li></ul><p><br></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.
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><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>
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>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><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 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 support advanced analytics and machine learning initiatives in Sacramento, California. This Long-term Contract position focuses on creating practical, production-ready solutions that improve operational decision-making, with an early emphasis on predictive maintenance and fleet performance in asset-heavy environments. The role works closely with business leaders and technical teams to turn complex data into reliable models, useful insights, and scalable AI capabilities.<br><br>Responsibilities:<br>• Build, test, and implement machine learning and analytical models using operational, maintenance, and telemetry data to improve equipment reliability and reduce unexpected downtime.<br>• Create pilot solutions with measurable success criteria, then develop high-performing concepts into stable model pipelines suitable for ongoing production use.<br>• Convert analytical results into clear recommendations, dashboards, or decision-support outputs that help both technical teams and business stakeholders act with confidence.<br>• Partner with data engineering teams to shape requirements for data intake, transformation, feature creation, and model delivery across the broader data environment.<br>• Document methodologies, assumptions, dependencies, and performance results to support transparency, repeatability, and effective model governance.<br>• Provide input on enterprise data architecture needs from a data science perspective, including dataset design, feature availability, experiment tracking, and model readiness.<br>• Identify data limitations, quality concerns, and enrichment opportunities that could influence model accuracy or business value.<br>• Work with cross-functional partners to define new analytics and AI opportunities and assess external tools or vendor-developed solutions when needed.