<p>We are looking for a detail-oriented Data Analyst to support data management and quality efforts in San Antonio, Texas. This is a 2-3 month Contract position focused on maintaining accurate records, refining spreadsheet-based information, and preparing data for reliable use across business needs. The ideal candidate is comfortable working independently, handling repetitive tasks with precision, and using Excel to identify issues and improve dataset quality.</p><p><br></p><p>Responsibilities:</p><p>• Transform raw Excel files into organized, reliable datasets by standardizing content and improving overall usability</p><p>• Examine data for inconsistencies, duplicate entries, formatting problems, and incomplete records, then resolve identified issues</p><p>• Input new information and maintain existing records within the local database system while ensuring a high degree of accuracy</p><p>• Perform routine checks to confirm data quality, validate entries, and help preserve the integrity of stored information</p><p>• Prepare data for reporting needs and provide basic analytical support for assigned projects</p><p>• Apply Excel tools such as sorting, filtering, formulas, and pivot tables to clean and structure large volumes of information</p>
We are looking for an Entry Level Accountant to support day-to-day financial operations for a growing team. This role is well suited for someone who enjoys working with numbers, maintaining accurate records, and contributing to a fast-moving business environment. The ideal candidate brings a solid academic foundation in accounting or finance, along with experience handling core transactional accounting tasks.<br><br>Responsibilities:<br>• Process vendor invoices and assist with timely accounts payable activities while maintaining accurate supporting documentation.<br>• Prepare customer billing records and help monitor accounts receivable balances to support consistent cash flow tracking.<br>• Record journal entries and update accounting data to keep financial information complete and current.<br>• Perform bank reconciliations and investigate discrepancies to ensure transactions are properly reflected in company records.<br>• Reconcile general ledger accounts on a regular basis and resolve outstanding variances with appropriate follow-up.<br>• Assist with month-end accounting activities by organizing records, reviewing transactions, and supporting financial close procedures.<br>• Communicate with internal team members and external contacts to clarify payment issues, account questions, and documentation needs.
We are looking for an Entry Level Accountant to join a construction-focused team in Colorado Springs, Colorado. This position is well suited for someone beginning an accounting career who is eager to build experience across financial records, payroll review, and spreadsheet-based reporting. The role offers the opportunity to support day-to-day accounting operations while developing a strong foundation in core accounting processes.<br><br>Responsibilities:<br>• Enter and organize financial data with accuracy to maintain reliable accounting records and support daily operations.<br>• Review payroll information for completeness and identify discrepancies that require correction or follow-up.<br>• Prepare and update Excel spreadsheets used for tracking transactions, balances, and routine financial activity.<br>• Assist with accounts payable tasks, including recording invoices and helping ensure timely processing of vendor payments.<br>• Support accounts receivable activities by maintaining payment records and monitoring outstanding customer balances.<br>• Perform bank and account reconciliations to help confirm that financial records align with supporting documentation.<br>• Post accounting entries and maintain organized documentation for audits, reporting, and internal review.<br>• Contribute to process-related administrative accounting work, including support for updates to financial tracking practices when needed.
<p>1-2 days a week work from home, mainly in office position. </p><p><br></p><p>We are looking for an Entry Level Accountant to support core accounting operations for a transport-focused organization in Georgetown, Kentucky. This role is well suited for an early-career candidate who is eager to strengthen fundamental accounting skills while contributing to accurate financial records and timely reporting. The position offers hands-on exposure to reconciliations, invoice activity, and month-end processes in a collaborative business environment.</p><p><br></p><p>Responsibilities:</p><p>• Support month-end close activities by preparing journal entries and completing reconciliations for bank accounts and general ledger balances.</p><p>• Review financial results to identify fluctuations, summarize key drivers, and provide clear explanations for variances.</p><p>• Process invoices with attention to customer- or business-specific requirements and assist with revenue-related cost calculations.</p><p>• Help maintain accurate accounts payable and accounts receivable records to support day-to-day accounting operations.</p><p>• Prepare organized workpapers and maintain thorough documentation to ensure accounting activity is traceable and audit-ready.</p><p>• Communicate findings, updates, and completed work to team members and stakeholders in a clear and thorough manner.</p><p>• Contribute to the preparation and review of financial information by applying a working understanding of core financial statements.</p>
<p>We are looking for an Entry Level Accountant to support accounts receivable, billing, and collection activities for growing company in Mt. Olive, New Jersey. This Long-term Contract opportunity is well suited for someone who enjoys detailed financial work, communicates effectively with customers, and is comfortable handling high-volume transactional tasks. The role begins Monday and will focus on maintaining accurate records, resolving payment issues, and supporting day-to-day accounting operations.</p><p><br></p><p>Responsibilities:</p><p>• Manage incoming accounts receivable activity by reviewing balances, posting updates, and helping keep customer accounts current.</p><p>• Conduct collection follow-up with customers in a detail-focused manner to address overdue payments and support timely resolution.</p><p>• Prepare and process billing transactions with close attention to accuracy, completeness, and deadlines.</p><p>• Perform high-volume data entry to maintain reliable financial information across accounting records.</p><p>• Use advanced Excel functions, including pivot tables and lookup formulas, to organize data and support reporting needs.</p><p>• Respond to customer inquiries related to billing, payments, and account status with strong service and care.</p><p>• Transfer financial and customer information from one software platform to another while preserving data accuracy.</p><p>• Assist the accounting team with routine reconciliation and administrative tasks tied to daily receivables operations.</p>
We are looking for a motivated entry-level accounting team member to join a growing team in Boston, Massachusetts. This contract opportunity is ideal for someone who is eager to build a foundation in accounting while gaining hands-on experience across payables, cash activity, and reconciliations. The role offers a supportive environment for someone with strong communication skills, a dependable work ethic, and the willingness to learn new processes and systems.<br><br>Responsibilities:<br>• Process vendor invoices and support timely payment activities while maintaining accurate financial records.<br>• Apply incoming cash receipts and help ensure transactions are posted correctly within the accounting system.<br>• Perform cash and account reconciliations to identify discrepancies and assist with resolution.<br>• Review and track company credit card activity, confirming expenses are properly recorded and documented.<br>• Provide basic accounts receivable support, including light follow-up on outstanding balances when needed.<br>• Prepare journal entries and assist with routine accounting updates to keep records current and organized.<br>• Work closely with the accounting team to support daily financial operations and contribute to process accuracy.
We are looking for a commercially minded Data Analyst to support procurement decision-making within a major real estate environment in Chicago, Illinois. This Long-term Contract position focuses on turning complex procurement and supplier data into practical insights that improve sourcing strategy, performance visibility, and cost control. The role works standard Eastern Hours and partners closely with procurement, finance, and business stakeholders to strengthen reporting, automation, and data quality across the function.<br><br>Responsibilities:<br>• Create and refine Power BI dashboards that provide clear visibility into spend patterns, supplier results, contract activity, and key procurement measures.<br>• Examine procurement data across areas such as property services, facilities, construction, fit-out, and specialized services to uncover trends and improvement opportunities.<br>• Perform detailed spend and benchmarking analysis to highlight savings potential, strengthen category strategies, and support more informed purchasing decisions.<br>• Track compliance-related metrics, identify off-contract purchasing behavior, and prepare reporting that supports governance across procurement activities.<br>• Build and maintain scalable data workflows using Microsoft technologies, including Fabric, Data Factory, Dataflows Gen2, Databricks, and related cloud-based tools.<br>• Develop unified procurement datasets by combining information from enterprise platforms, contract systems, and supplier sources into reliable analytical models.<br>• Use SQL, Python, and PySpark to clean, structure, and transform large volumes of data for reporting and advanced analysis.<br>• Design automation solutions with Power Automate to reduce manual effort, improve accuracy, and increase team productivity.<br>• Work with procurement leaders, finance partners, and other stakeholders to translate business questions into meaningful analysis and present findings in a clear, business-focused way.<br>• Maintain documentation for data definitions, reporting logic, and governance standards while promoting data quality and self-service reporting adoption within the team.
<p>We are looking for a Business Analytics/Data Analyst to join a long-term contract opportunity in Dallas, Texas within the energy and natural resources sector. This position will focus on preparing, organizing, and validating critical business data to support a major enterprise implementation. The ideal candidate will work across business and technical teams to improve data accuracy, ensure reliable conversion outcomes, and maintain strong documentation throughout the project lifecycle.</p><p>This is a 9-18 month contract assignment, offering a hybrid work schedule of 3 days a week in the office in Dallas, TX 75240, and 2 days a week working remotely.</p><p>This contract position will be assisting the client during an Oracle Fusion implementation.</p><p><br></p><p><strong><u>Data Analyst/Data Conversion Specialist (contract position):</u></strong></p><p>Responsibilities:</p><p>• Evaluate legacy data sources to identify structure, quality concerns, and migration needs for the target platform.</p><p>• Prepare data for conversion by performing cleansing, standardization, mapping, and transformation activities.</p><p>• Oversee data extraction, load coordination, and reconciliation efforts to confirm completeness and accuracy.</p><p>• Collaborate with stakeholders, IT teams, and external partners to investigate and resolve data-related issues.</p><p>• Assist with test cycles, trial conversions, and cutover readiness activities to support a smooth implementation.</p><p>• Create and maintain clear documentation for migration logic, business rules, controls, and validation procedures.</p><p>• Monitor data quality and integrity throughout the implementation to support compliance and dependable reporting.</p>
We are looking for a Business Intelligence and Data Analyst to join a collaborative analytics team supporting enterprise performance initiatives in Boston, Massachusetts. In this role, you will work closely with data engineering and business stakeholders to turn complex operational information into clear, actionable reporting. This position is ideal for an early-career analyst who enjoys building dashboards, improving reporting accuracy, and helping leaders make informed decisions through data.<br><br>Responsibilities:<br>• Create and refine Power BI dashboards and recurring reports that give teams clear visibility into performance trends and operational results.<br>• Analyze large and varied datasets to uncover meaningful patterns, explain performance drivers, and support business decision-making.<br>• Partner with data engineers and cross-functional teams to gather reporting needs, validate data sources, and improve the reliability of analytics outputs.<br>• Maintain, update, and enhance existing business intelligence solutions to ensure reporting remains accurate, relevant, and easy to use.<br>• Deliver both scheduled reporting and ad hoc analysis to help leadership monitor priorities and respond to emerging business questions.<br>• Develop and track key performance indicators that measure outcomes across departments and highlight opportunities for improvement.<br>• Present findings in a concise, business-friendly way so that both technical and non-technical stakeholders can act on the insights provided.<br>• Support broader analytics adoption by helping users understand reporting tools, metrics, and dashboard functionality.<br>• Contribute to technical assessments and problem-solving efforts related to reporting processes, data quality, and dashboard performance.
<p>Job Summary</p><p>A large, well‑known technology organization is seeking a <strong>Data Analyst I</strong> to support an engineering and operations team focused on hardware systems and large‑scale deployment programs. This role supports data analysis, reporting, and cross‑functional decision‑making in a fast‑paced environment.</p><p>Key Responsibilities</p><ul><li>Analyze operational, engineering, and process data to support program execution and decision‑making</li><li>Build and maintain reports, dashboards, and data summaries for stakeholders</li><li>Partner with engineering, supply chain, and operations teams to validate data accuracy</li><li>Support tracking of metrics, trends, and performance indicators</li><li>Assist with documentation, data audits, and ad‑hoc analysis requests</li><li>Ensure data consistency across systems and reporting tools</li></ul><p><br></p>
<p>We are looking for a Data Analytics Engineer to help strengthen and scale analytics capabilities supporting participant and healthcare-related data initiatives in Boston, Massachusetts. This role is ideal for an early-career data specialist who enjoys building reliable datasets, improving reporting foundations, and partnering with analysts and business teams to turn complex information into actionable insight. You will work in a modern cloud data environment and contribute to data products that support performance measurement, operational visibility, and informed decision-making.</p><p><br></p><p>Responsibilities:</p><p>• Build and support data pipelines, curated datasets, and analytics-ready data structures used for reporting and performance tracking.</p><p>• Clean, join, and reshape data from multiple sources to produce dependable outputs for dashboards, KPI measurement, and deeper analysis.</p><p>• Partner with analysts, engineers, and business stakeholders to translate reporting needs into practical data models and scalable solutions.</p><p>• Investigate pipeline failures and data inconsistencies, then implement fixes that improve reliability, accuracy, and timeliness.</p><p>• Maintain clear documentation for data definitions, model logic, source mapping, and lineage to improve transparency across the analytics function.</p><p>• Create recurring and on-demand analyses that help teams monitor trends, evaluate outcomes, and support current business priorities.</p><p>• Contribute to the upkeep and optimization of analytics workflows within tools such as Databricks, Microsoft Fabric, and related cloud platforms.</p><p>• Provide data support to operational teams and assist with information requests tied to cross-functional initiatives or external-facing needs.</p>
We are looking for a Data Analytics Consultant to lead the design and delivery of modern data engineering and business intelligence solutions for client engagements in Pennsylvania. This Long-term Contract position is ideal for a client-facing consultant who can combine technical architecture expertise with strong communication and consulting skills to guide data strategy, platform design, and analytics adoption. The role will partner with stakeholders across business and technical teams to create scalable data environments, translate complex requirements into practical solutions, and support the continued advancement of enterprise analytics capabilities.<br><br>Responsibilities:<br>• Act as a trusted advisor to clients by evaluating technical options and recommending data and analytics solutions aligned with business goals.<br>• Architect, build, and launch scalable data platforms across cloud and on-premises environments using modern engineering and business intelligence technologies.<br>• Lead discovery meetings, stakeholder workshops, and solution presentations to uncover needs and define effective analytics strategies.<br>• Establish frameworks for data ingestion, transformation, storage, governance, and reporting to support reliable decision-making.<br>• Develop implementation roadmaps and delivery plans for data initiatives, ensuring technical solutions support long-term business priorities.<br>• Assess current data ecosystems, identify improvement opportunities, and produce clear architectural documentation and technical recommendations.<br>• Engage with audiences ranging from executive leadership to delivery teams to explain solution choices, tradeoffs, and expected business impact.<br>• Contribute across multiple phases of delivery, including consulting, architecture, hands-on development, and pre-sales support when needed.<br>• Provide deep technical expertise in analytics, data integration, visualization, and modern lakehouse or warehouse design, including security considerations such as row-level access.<br>• Use tools such as Microsoft Fabric, Azure, Python, Spark, Hadoop, Kafka, SQL, and ETL frameworks to build high-quality analytics and data processing solutions.
We are looking for a Data Analytics Consultant to help organizations shape and deliver modern data solutions that turn complex information into actionable business insight. This role partners with stakeholders across technical and executive teams to define data strategies, recommend scalable platforms, and guide implementation across cloud-based environments. Based in Wyomissing, Pennsylvania, the position combines advisory expertise with hands-on architecture and analytics leadership to support impactful client outcomes.<br><br>Responsibilities:<br>• Partner with clients as a technical advisor, helping them evaluate options and make informed decisions on analytics and data platform solutions.<br>• Architect and deliver data environments across public and private cloud ecosystems, ensuring solutions are scalable, secure, and aligned with business goals.<br>• Lead discussions on data governance, quality standards, architecture direction, and long-term analytics strategy for client organizations.<br>• Facilitate discovery meetings, workshops, and executive presentations to gather requirements and translate business needs into practical technical plans.<br>• Explain emerging data technologies and analytics capabilities in a way that highlights measurable value for both business and technical audiences.<br>• Establish effective approaches for collecting, storing, transforming, and analyzing data to support reporting, operational insight, and decision-making.<br>• Create implementation roadmaps and phased delivery plans for analytics initiatives, including assessments of current-state environments and future-state architecture.<br>• Review existing data solutions, identify improvement opportunities, and produce clear documentation that supports design decisions and project execution.<br>• Collaborate with stakeholders ranging from senior executives to engineering teams while contributing across multiple phases of the project lifecycle, including pre-sales support.<br>• Apply analytics expertise to use cases involving risk monitoring, fraud-related analysis, and investigative data interpretation where business needs require it.
<p>We are looking for an AI Data Analyst to join our team in Greater Milwaukee. In this role, you will turn business challenges into practical data, automation, and AI solutions that improve daily operations and support stronger decision-making. You will work closely with internal stakeholders to evaluate processes, uncover meaningful insights, and deliver scalable tools that align technology with organizational goals. <strong>This role requires the candidate to be onsite, with a hybrid schedule.</strong></p><p><br></p><p>Responsibilities:</p><p>• Create and launch AI-enabled processes, tools, and agents that streamline operational activities and improve team productivity.</p><p>• Develop and support connections between internal applications and third-party platforms using APIs, data flows, and related integration methods.</p><p>• Evaluate business and operational data to surface patterns, identify gaps, and recommend opportunities for process improvement.</p><p>• Produce dashboards, reporting assets, and analytical tools that help teams monitor performance and make informed decisions.</p><p>• Partner with stakeholders across the organization to gather requirements, define success measures, and convert business needs into technical solutions.</p><p>• Test, refine, and deploy solutions in real-world environments, making ongoing enhancements based on user feedback and results.</p><p>• Investigate and resolve issues involving systems, workflows, and integrations to maintain reliable performance.</p><p>• Promote sound practices for data quality, governance, security, and long-term scalability across tools and workflows.</p><p>• Build a strong understanding of company operations, systems, and industry-specific processes to ensure solutions are accurate and relevant.</p>
We are looking for a Data Security Analyst to support and strengthen email and messaging security operations for a Contract position based in Chicago, Illinois. This role focuses on protecting the organization from phishing, malware, impersonation, and other email-borne threats while improving the reliability and security of mail delivery. The ideal candidate brings deep experience with Proofpoint, hybrid messaging environments, and user-focused security practices, along with the ability to communicate clearly across technical and non-technical teams.<br><br>Responsibilities:<br>• Investigate and resolve complex email security and delivery issues, including routing failures, encryption challenges, quarantine events, and user-reported security concerns.<br>• Review dashboards, system logs, and alert activity to identify and respond to phishing attempts, malware incidents, spoofing, and impersonation threats.<br>• Administer and optimize Proofpoint Essentials and related integrations to maintain strong protection across the messaging environment.<br>• Configure and maintain email security controls, including encryption settings, policy rules, and quarantine management processes.<br>• Lead initiatives involving Proofpoint enhancements, platform updates, and rollout of new security capabilities.<br>• Develop clear guidance and training materials for IT teams and end users on secure email practices and available protection tools.<br>• Support security awareness efforts by helping manage phishing simulation activities and user education programs.<br>• Collaborate with broader security operations by connecting email security insights with SIEM platforms and other enterprise security tools where applicable.
We are looking for a Data Analyst to turn complex technical data into clear insights that support performance, reliability, and user experience improvements. This role partners closely with teams across development, product, and IT to shape reporting needs and deliver meaningful analysis. Based in Grand Rapids, Michigan, the position focuses on building trusted data assets, uncovering patterns in system behavior, and helping guide informed operational decisions.<br><br>Responsibilities:<br>• Create interactive dashboards, reporting solutions, and visual summaries that translate technical metrics into actionable information for stakeholders.<br>• Examine data sets to detect patterns, outliers, and improvement opportunities that can strengthen platform stability and end-user satisfaction.<br>• Work with developers, product leaders, and IT partners to gather reporting needs and define accurate, useful data inputs.<br>• Analyze infrastructure and application performance data to support monitoring efforts, resource forecasting, and capacity planning activities.<br>• Investigate system-related issues through root cause analysis and present recommendations backed by data findings.<br>• Uphold data quality by validating information, resolving inconsistencies, and maintaining dependable reporting across technology environments.<br>• Contribute to predictive analytics and automation efforts that improve efficiency and enable more proactive decision-making.<br>• Track developments in analytics platforms, programming tools, and emerging technologies to enhance reporting and analytical capabilities.
<p>Robert Half Management Resources is looking for a Revenue & Accounting Data Analyst to support one of our healthcare clients through detailed financial analysis, revenue reporting, and data-driven insight generation. This interim position is ideal for someone who can connect accounting fundamentals with healthcare revenue performance and reporting accuracy. The role focuses on turning complex financial and billing data into clear findings that help strengthen decision-making, improve visibility into trends, and support operational efficiency.</p><p><br></p><p><u>Responsibilities:</u></p><p>• Examine financial and revenue data to identify inconsistencies, validate reporting accuracy, and support timely reconciliations across accounting activities.</p><p>• Analyze healthcare billing and collections performance to uncover trends, variances, and opportunities to improve revenue cycle outcomes.</p><p>• Use SQL and related data tools to extract, organize, and evaluate large datasets from financial and operational systems.</p><p>• Build dashboards and reporting assets in Tableau or similar business intelligence platforms to present key revenue and accounting metrics.</p><p>• Leverage advanced Excel capabilities, including complex formulas and Power Query, to prepare, reconcile, and interpret financial information.</p><p>• Partner with finance and operational stakeholders to explain findings, answer reporting questions, and support informed business decisions.</p><p>• Streamline recurring reporting and reconciliation work through data preparation and automation tools such as Alteryx or comparable platforms.</p><p>• Support analysis tied to systems such as Microsoft Dynamics 365 when reviewing financial records, reporting outputs, or workflow-related data.</p><p>• Apply GAAP-based accounting knowledge and healthcare revenue cycle understanding to maintain reliable analysis and reporting standards.</p>
<p>We are partnering with a well-established organization that is investing heavily in its enterprise data platform and analytics capabilities. As they continue to expand their data ecosystem, they are seeking a Business Intelligence Analyst to join a collaborative team responsible for building, maintaining, and enhancing enterprise data models that support critical business operations and decision-making.</p><p>This role is ideal for someone who enjoys working on the technical side of business intelligence, creating scalable data solutions, developing enterprise data models, and ensuring reliable data is available for reporting and analytics across the organization.</p><p>What You'll Be Doing</p><ul><li>Design, develop, and maintain enterprise data models that support reporting and analytics initiatives across the organization.</li><li>Build and enhance data pipelines that integrate multiple business systems and data sources.</li><li>Collaborate with business and technical stakeholders to understand data requirements and implement scalable solutions.</li><li>Support and administer Power BI environments, including semantic models, refresh schedules, capacity management, and performance optimization.</li><li>Develop and maintain SQL and Python-based solutions for data transformation, automation, and data quality initiatives.</li><li>Troubleshoot data issues, resolve defects, and support ongoing enhancements to enterprise data assets.</li><li>Participate in an on-call rotation supporting critical enterprise data platforms and reporting environments.</li><li>Contribute to Agile ceremonies and collaborate closely with team members on backlog prioritization and project delivery.</li></ul><p>Technical Environment</p><ul><li>Snowflake</li><li>dbt</li><li>SQL</li><li>Python</li><li>Power BI</li><li>Terraform</li><li>GitHub Copilot</li></ul><p>Why Consider This Opportunity?</p><ul><li>Join a highly collaborative and technically focused data team.</li><li>Work on enterprise-scale data models that support critical business functions across the organization.</li><li>Contribute to a growing data platform with significant investment and leadership support.</li><li>Influence the future direction of business intelligence, analytics, and data engineering initiatives.</li><li>Opportunity to work with modern cloud data technologies and emerging AI capabilities.</li></ul><p>This position is best suited for a BI professional who enjoys building and maintaining the data foundation behind reporting and analytics rather than focusing solely on dashboard creation and business-facing analysis.</p>
<p>Looking for a BI/Data Analyst to turn data into actionable insights and help drive business decision-making.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Build dashboards and reports using <strong>Power BI / Tableau</strong></li><li>Analyze data trends and provide insights to stakeholders</li><li>Write complex queries using <strong>SQL</strong></li><li>Work with data engineers to ensure data availability and accuracy</li><li>Present findings in a clear, business-friendly manner</li></ul><p><br></p>
<p><strong>Data Analyst III (Contract)</strong></p><p><strong>Job Type:</strong> 26 Week Contract / Temporary</p><p><strong>Location:</strong> Remote - Philadelphia, PA</p><p><strong>Overview</strong></p><p>Seeking a highly analytical <strong>Data Analyst III</strong> to drive business decisions through advanced data analysis, strategic insights, and KPI optimization. This role is responsible for transforming large, complex datasets into actionable recommendations that support business strategy, operational improvements, and performance measurement.</p><p>The ideal candidate brings strong technical expertise, business acumen, and the ability to clearly communicate insights to stakeholders at multiple levels.</p><p><strong>Key Responsibilities</strong></p><ul><li>Perform advanced data analysis on large, complex datasets using multiple analytical techniques to drive improvements in KPIs and business objectives</li><li>Develop methodologies, establish baselines, and independently execute recurring or related analytical projects</li><li>Apply industry best practices to ensure accurate measurement, KPI development, and statistical significance</li><li>Write and optimize complex SQL queries across multiple platforms while maintaining performance best practices</li><li>Serve as a subject matter expert (SME) for data sources, owning data selection, methodology, and validation processes</li><li>Conduct data validation and identify inconsistencies; collaborate with stakeholders to implement solutions and resolve anomalies</li><li>Partner with data quality and architecture teams to support data ingestion, automation, and reporting needs</li><li>Create reports, dashboards, and presentations that effectively communicate analytical findings and business recommendations</li><li>Develop compelling data visualizations that clearly convey insights and support strategic decision-making</li><li>Translate technical methodologies into clear, concise messaging tailored to various audiences</li><li>Identify trends, shifts in performance, and relationships between dependent KPIs to inform business strategy</li><li>Plan, manage, and execute projects independently; proactively communicate progress, risks, and timelines</li><li>Utilize tools such as JIRA to track tasks, manage workflows, and ensure project transparency</li><li>Participate in cross-functional initiatives, team processes, and knowledge-sharing activities</li><li>Support continuous improvement in reporting, analytics, and operational processes</li></ul>
We are looking for a Senior Data Analytics Engineer to help shape and scale modern data capabilities for a real estate and property organization in Reston, Virginia. This role focuses on designing reliable data pipelines, structuring analytical datasets, and enabling high-quality reporting and advanced insights across the business. The ideal candidate brings strong engineering depth, practical analytics expertise, and the ability to turn business needs into well-architected data solutions.<br><br>Responsibilities:<br>• Design, build, and maintain scalable data pipelines that ingest, transform, and deliver trusted datasets for analytics and operational use.<br>• Develop curated data layers using medallion-style architecture to improve data quality, accessibility, and consistency across the platform.<br>• Create and optimize dimensional models, including fact and dimension structures, to support reporting, trend analysis, and business intelligence needs.<br>• Use Python, PySpark, SparkSQL, and notebook-based development environments to engineer efficient data processing workflows.<br>• Partner with business and technical stakeholders to gather requirements and translate them into practical data products and analytics solutions.<br>• Apply data governance, security, and enterprise data management standards to protect information and support compliant data usage.<br>• Contribute to collaborative development practices through version control, code review, and shared engineering standards using Git.<br>• Support advanced analytics initiatives by preparing data foundations that can be used for machine learning and AI-driven use cases.
We are looking for a skilled .Net/SQL Healthcare Data Analyst to join our team in Sarasota, Florida. This role is ideal for someone with a strong background in healthcare analytics and technical expertise in Python scripting, SQL Server, and reporting tools. The successful candidate will play a key role in analyzing data, gathering requirements, and supporting various IT functions.<br><br>Responsibilities:<br>• Analyze healthcare data to identify trends, insights, and actionable solutions.<br>• Develop and maintain SQL Server databases and ensure their optimal performance.<br>• Create and manage reports using SQL Server Reporting Services (SSRS).<br>• Collaborate with stakeholders to gather and document technical and business requirements.<br>• Write Python scripts to automate data processing and reporting tasks.<br>• Provide IT support across multiple functions, ensuring seamless operations.<br>• Work with HL7 standards to process and integrate healthcare data effectively.<br>• Conduct quality assurance checks to ensure data accuracy and reliability.<br>• Support cross-functional teams with data-driven insights and technical expertise.
<p><strong>Business Analyst - AI Chatbots (Contract)</strong></p><p><strong>Employment Type:</strong> 28 Week Contract, Potential for Extension or Conversion</p><p><strong>Location: </strong>Hybrid/Onsite Philadelphia, PA</p><p><br></p><p><strong>Position Overview</strong></p><p>We are seeking a highly analytical Business Analyst to support the strategy, optimization, and delivery of conversational AI experiences, including chatbot solutions. In this role, you will uncover insights from transcripts, customer journeys, and cross channel behavior; translate those insights into clear use cases and requirements; and ensure chatbot features are grounded in data, customer needs, and measurable business value.</p><p><br></p><p>In this position, you will serve as a measurement and insights lead and a trusted subject matter expert, elevating how we track performance and use analysis to drive product improvements. This requires strong independent judgment and ownership: you will identify the next best steps, proactively propose improvements to processes and ways of working, and drive alignment to move work forward.</p><p>You will also partner closely with Product, Engineering, and Conversational Design to define requirements and support delivery through user stories and UAT to drive continuous improvement across AI powered interactions.</p><p><br></p><p>This role is ideal for an independent thinker who excels at blending data analysis, customer experience understanding, and structured business requirements to help bring high impact conversational AI features to life.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p>• Define KPIs and success metrics for conversational AI features, establish a reporting cadence, and proactively translate results into clear next actions</p><p>• Independently conduct deep dive analysis of transcripts, customer journeys, and cross channel behaviors; form hypotheses, validate root causes, and recommend high impact automation opportunities</p><p>• Own ongoing intent performance monitoring to spot trends early, diagnose issues, and proactively drive prioritization of next best improvements (with clear rationale and expected impact)</p><p>• Proactively surface gaps, risks, and decision points; bring options with a recommended path forward, align stakeholders, and drive decisions to closure</p><p>• Lead cross functional synthesis across unassisted channels (chatbots, voice) to identify integration needs, propose solutions, and drive alignment on the path forward</p><p>• Perform competitive and SWOT analysis to benchmark conversational AI experiences, identify strategic gaps, and recommend where to invest or change course</p><p>• Develop and socialize data driven roadmap recommendations—sizing opportunities, clarifying tradeoffs, and proposing a prioritized sequence of work tied to business goals</p><p>• Translate insights into clear requirements, user stories, and acceptance criteria—anticipating questions, driving clarity on business rules, and unblocking delivery teams</p><p>• Collaborate with Conversational Designers and Authors to refine intents, optimize journeys, and tune prompts based on insights</p><p>• Participate in backlog grooming, story writing, sprint planning, and support UAT cycles to ensure features meet business and conversational requirements</p>
<p>Our client is seeking a Data Scientist II – Generative AI to join a cutting-edge team focused on building scalable, production-ready AI solutions that transform business workflows and deliver measurable impact across global operations. This role is ideal for professionals passionate about leveraging Generative AI technologies, creating intelligent agents, and driving innovation at scale.</p><p><br></p><p>You will design and implement GenAI-powered agents that streamline internal processes, enhance productivity, and support business development initiatives. Responsibilities include developing robust prompt engineering frameworks, building RAG pipelines, and converting prototypes into production-ready solutions. You’ll collaborate closely with engineering and business teams to ensure solutions meet diverse client needs and are optimized for global deployment.</p><p><br></p><p>Key projects include extending the company’s GPT platform, creating AI agents that improve efficiencies for RFP development, onboarding materials, and SOW requirements. Success in this role means quickly ramping up on backlog projects, delivering high-priority initiatives, and staying ahead of emerging GenAI frameworks to continuously advance internal AI capabilities.</p>
We are looking for an experienced Healthcare SQL/Python Data Analyst to join our team in Sarasota, Florida. In this role, you will play a critical part in analyzing and integrating healthcare data to support organizational goals. If you have a strong technical background and a passion for leveraging data to improve healthcare solutions, we encourage you to apply.<br><br>Responsibilities:<br>• Perform in-depth data analysis to identify trends, insights, and opportunities for improvement within healthcare datasets.<br>• Develop and maintain SQL queries and scripts to support data extraction, manipulation, and reporting needs.<br>• Utilize Python for advanced data processing, automation, and analytical tasks.<br>• Integrate and manage data from multiple sources, ensuring accuracy and consistency.<br>• Collaborate with stakeholders to gather requirements and translate them into actionable data solutions.<br>• Design and generate reports using SSRS to present findings to internal teams and leadership.<br>• Work with HL7 standards to facilitate seamless data exchange and interoperability within healthcare systems.<br>• Troubleshoot and resolve issues related to data quality, integration, and system performance.<br>• Contribute to the development of data-driven strategies to enhance operational efficiency and patient care outcomes.