<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>
We are looking for a Senior Data Engineer to develop and optimize enterprise data systems that support analytics and digital solutions. In this role, you will design and implement robust data architectures, ensuring seamless data integration and transformation processes across the organization. Your expertise will drive the creation of reliable pipelines and scalable infrastructure, enabling advanced analytics and machine learning capabilities.<br><br>Responsibilities:<br>• Design and implement scalable data pipelines using Databricks, Spark, and Delta Lake to support enterprise-level analytics.<br>• Develop and maintain efficient data models tailored for AI, analytics, and operational systems.<br>• Lead Master Data Management initiatives to establish unified and accurate data records across platforms.<br>• Create batch and near-real-time data processing workflows for structured and semi-structured datasets.<br>• Collaborate with AI and software development teams to ensure delivery of high-quality datasets for machine learning.<br>• Define and enforce data architecture standards, ensuring scalability, reliability, and governance.<br>• Troubleshoot and optimize data systems to maintain performance and reliability in complex environments.<br>• Partner with cloud and IT teams to integrate modern data platforms and ensure seamless functionality.
We are looking for a Data Engineer to join our team in Texas. In this role, you will create and enhance modern cloud data platforms that power reporting, analytics, and intelligent business solutions. The position is ideal for a hands-on individual who excels at building scalable pipelines, improving data performance, and partnering with technical and business teams to deliver reliable data products.<br><br>Responsibilities:<br>• Create and maintain cloud-based data solutions on Azure using services such as Databricks, Synapse Analytics, Data Factory, and related platform tools.<br>• Build resilient data pipelines and integration workflows that support enterprise analytics, reporting, and business intelligence across large and complex datasets.<br>• Architect and implement lakehouse and warehouse environments, including layered data models that organize raw, refined, and business-ready data.<br>• Develop reusable notebooks and processing frameworks with Python, PySpark, Spark, and Scala to support scalable engineering patterns.<br>• Tune and troubleshoot data workloads to improve speed, stability, scalability, and overall cost efficiency in production environments.<br>• Deliver end-to-end data solutions by handling design, development, testing, deployment, documentation, and ongoing operational support.<br>• Apply source control, DevOps practices, and automated release processes to enable consistent and secure deployments.<br>• Partner with stakeholders, engineers, and leadership to convert business needs into practical technical designs and data solutions.<br>• Support AI and machine learning initiatives through data preparation, feature development, curated datasets, and platform capabilities for advanced analytics.<br>• Investigate production issues, evaluate new technologies, and recommend improvements that strengthen reliability, efficiency, and business value.
<p><strong>Overview</strong></p><p>We are seeking an experienced Data Engineer to join a growing data team supporting enterprise analytics, reporting, and data science initiatives. This role will focus on supporting and enhancing existing data pipelines while contributing to new development efforts within a modern data environment. The ideal candidate will have strong experience with Databricks, SQL, and Python, along with the ability to partner directly with business stakeholders and translate business requirements into scalable technical solutions.</p><p> </p><p><strong>POSITION: DATA ENGINEER</strong></p><p><strong>LOCATION: DALLAS, TX ONSITE</strong></p><p><strong>DURATION: 6-MONTH CONTRACT-TO-HIRE</strong></p><p> </p><p><strong>RESPONSIBILITIES</strong></p><ul><li>Develop, support, and enhance ETL and data pipeline solutions.</li><li>Design and build data transformations across Bronze, Silver, and Gold data layers within a Medallion Architecture environment.</li><li>Write, optimize, and troubleshoot complex SQL queries to support reporting, analytics, and operational business needs.</li><li>Develop and maintain data processing solutions using Python and PySpark within Databricks.</li><li>Partner directly with business stakeholders to gather requirements and translate business needs into technical solutions.</li><li>Monitor, troubleshoot, and resolve data pipeline issues while performing root cause analysis.</li><li>Design and maintain data warehouse and database models that support reporting, analytics, and data science initiatives.</li><li>Deliver trusted and certified datasets that power dashboards, self-service analytics, and business reporting.</li><li>Apply best practices related to data quality, testing, monitoring, performance optimization, documentation, and maintainability.</li><li>Collaborate with data engineers, analysts, data scientists, and business teams on strategic initiatives and ongoing support efforts.</li></ul>
We are looking for a Data Engineer to join a growing team and contribute to the delivery of reliable, analytics-ready data solutions. This contract opportunity with potential for a permanent role is ideal for someone who enjoys building scalable data pipelines, improving data models, and partnering with technical and business stakeholders to support reporting, self-service analytics, and data science. The role offers the chance to work hands-on with Databricks, Python, PySpark, SQL, and modern data engineering practices in a collaborative environment focused on quality and performance.<br><br>Responsibilities:<br>• Build, maintain, and enhance data pipelines that support dependable data availability for analytics and reporting needs.<br>• Collaborate with data engineering leaders to troubleshoot defects, resolve pipeline issues, and improve overall platform stability.<br>• Develop transformation logic using Python, PySpark, SQL, and Databricks to prepare clean, usable datasets for downstream consumers.<br>• Design and refine data models that improve usability, consistency, and performance across reporting and analytical workloads.<br>• Apply layered data architecture principles, including Bronze, Silver, and Gold structures, to organize and manage data effectively.<br>• Establish and follow engineering standards for validation, testing, monitoring, and documentation to strengthen data quality and maintainability.<br>• Optimize processing and query performance to support efficient data delivery at scale.<br>• Work with business and technical partners to translate data needs into practical engineering solutions that support trusted insights.
<p>· Seeking a highly flexible individual comfortable with large amounts of information, and adept at managing expectations </p><p>· Supporting weekly, quarterly and annual Area/Segment level Bookings and P&L forecasting </p><p>· Analyzing performance to date and assessing potential risks and opportunities </p><p>· Understanding and explaining internal and external drivers impacting performance and trending </p><p>· Learning and applying econometric and statistical methods to forecasting </p><p>· Enabling effective Business Intelligence (BI) to provide forward-looking insight and decision support </p><p>· Provide analytical support during New Year readiness/Year End planning cycle </p><p>· Drive the strategy and business planning process</p><p>· Become embedded within the Marketing and Customer Success organizations. Establish trust and quickly understand the key drivers of the business, economic trends and core metrics</p><p>· Work with senior executives on strategic deep dives by developing financial models and insights on topics such as: Retention forecasts, Campaign Planning & Tracking, return on investment of strategic investments, event tracking and execution, strategic resource allocation and prioritization</p><p>· Work closely with cross-functional partners in Accounting, Recruiting, People and Operations to execute against plans</p><p>· Track monthly and quarterly performance through comparison of actuals versus expectations and enable business partners to handle their resources in the best way possible</p><p>· Drive monthly reporting to business partners on financial results and actions required</p><p>· Work with Accounting on the monthly and quarterly financial close process</p>
<p>We are looking for a Financial Analyst to support strategic planning and financial visibility for a dynamic entertainment organization in Dallas, Texas. This role will help guide budgeting, forecasting, reporting, and performance analysis while partnering with teams across the business to strengthen decision-making. The ideal candidate brings strong analytical ability, sound financial judgment, and the ability to translate data into clear, actionable insight.</p><p><br></p><p>Responsibilities:</p><p>• Lead the development and upkeep of annual budgets, periodic forecasts, and longer-range financial outlooks to support organizational planning.</p><p>• Evaluate financial performance by comparing actual results with budgeted targets, updated projections, and historical trends, then communicate key drivers behind the results.</p><p>• Build models and scenario analyses that help leadership assess operational choices, revenue opportunities, and cost impacts.</p><p>• Prepare recurring monthly and quarterly reports, dashboards, and presentation-ready analyses for executives, managers, and board-level stakeholders.</p><p>• Assemble financial data and supporting schedules for grant applications, compliance reporting, and ongoing tracking of funded programs.</p><p>• Monitor restricted and designated funding to confirm spending aligns with donor intent and grant requirements, while partnering with fundraising teams on related financial information.</p><p>• Contribute to month-end and year-end close activities through reconciliations, supporting schedules, and coordination with accounting to maintain accurate financial records.</p><p>• Support audit readiness by organizing documentation, responding to information requests, and helping preserve the reliability of financial data.</p><p>• Track key performance indicators across areas such as financial results, ticket revenue, fundraising activity, audience participation, educational programs, and operational effectiveness.</p><p>• Partner with department leaders to explain budget performance, improve reporting processes, and enhance financial controls and data quality, including support for business intelligence and dashboard tools where needed.</p><p><br></p><p>If interested in being considered for this hybrid role (3 days a week in office), please email a resume to Liz Noyes at Robert Half via linked in.</p>
<p>We are looking for a detail-oriented <strong><u>Part-Time (20 hours a week) Business Analyst with Power BI</u></strong> to support operational reporting and performance analysis for a growing team in Dallas, Texas. This <strong><u>Remote Long-term Contract opportunity</u></strong> is well suited for someone who can quickly step into a fast-paced environment, turn complex data into practical insights, and help leaders make informed decisions. The role focuses on dashboard development, KPI tracking, forecasting support, and cross-functional collaboration to strengthen reporting accuracy and business planning.</p><p><br></p><p>Responsibilities:</p><p>• Create and maintain Power BI dashboards, scorecards, and analytical reports that highlight business performance, trends, and key operational indicators.</p><p>• Evaluate capacity, resource usage, productivity, and project-related metrics to identify patterns, risks, and opportunities for improvement.</p><p>• Deliver timely ad hoc analysis and executive-ready reporting to support leadership decisions in a dynamic operating environment.</p><p>• Develop forecasting tools and benchmarking approaches that help guide planning, prioritization, and strategic discussions.</p><p>• Partner with stakeholders across teams to align reporting inputs, improve data integrity, and simplify recurring reporting processes.</p><p>• Compile research and operational information from multiple sources to support budget-related reviews, planning activities, and departmental analysis.</p><p>• Translate data findings into clear business recommendations that non-technical stakeholders can easily understand and act upon.</p><p>• Assist with ongoing operational coordination and administrative analysis that supports departmental goals and performance management.</p>
We are looking for a Credit Analyst to support credit evaluation and accounts receivable activities for a manufacturing operation in McKinney, Texas. This position focuses on reviewing customer financial information, monitoring account performance, and helping reduce payment risk while maintaining strong business relationships. The ideal candidate brings sound judgment, strong attention to detail, and the ability to manage collection priorities in a fast-paced environment.<br><br>Responsibilities:<br>• Review customer credit applications, financial records, and payment history to determine appropriate credit decisions and exposure levels.<br>• Monitor receivables aging and account activity, identify developing risk patterns, and recommend practical actions to improve collections performance.<br>• Communicate with customers regarding past-due balances, resolve payment issues professionally, and support positive long-term account relationships.<br>• Prepare and maintain accurate documentation related to credit evaluations, collection activity, account status, and reporting requirements.<br>• Partner with internal teams such as sales, customer service, and finance to address account concerns and support timely resolution of billing or payment matters.<br>• Analyze trends in delinquency, dispute activity, and customer payment behavior to provide informed recommendations to leadership.<br>• Use SAP and other accounting or office systems to track account information, update records, and generate reports as needed.
We are looking for a Financial Analyst/Manager to join a consumer products organization in Dallas, Texas. This role focuses on turning complex financial and operational information into practical recommendations that strengthen profitability, support planning, and improve decision-making across the business. The ideal candidate brings strong analytical judgment, a process-oriented mindset, and the ability to translate results into clear business narratives for cross-functional partners.<br><br>Responsibilities:<br>• Evaluate high-volume financial and operational datasets to uncover opportunities to reduce expenses, improve margins, streamline workflows, and monitor business performance patterns.<br>• Lead detailed variance reviews and convert findings into meaningful recommendations that support stronger financial and operational decisions.<br>• Contribute to the annual budget, forecasting cycles, and year-end planning by preparing analyses that improve accuracy and visibility.<br>• Support balance sheet planning activities, including coordination and analysis related to material intercompany transactions.<br>• Design and refine financial planning and reporting methods to create more efficient, reliable, and scalable processes.<br>• Work closely with accounting partners to ensure planning assumptions and reported results remain aligned throughout the reporting cycle.<br>• Promote the effective use of approved AI solutions within the finance function to enhance analysis, reporting, and overall productivity.<br>• Communicate financial outcomes in a way that explains underlying business drivers, risks, and opportunities rather than only presenting the numbers.
<p>We are looking for a Business Analyst to support a long-term contract opportunity in Coppell, Texas. This role focuses on accounting data and general ledger activities tied to mortgage servicing environments, with close collaboration across accounting, operations, and project teams. The ideal candidate brings strong business analysis experience, a solid grasp of financial systems, and the ability to help drive accurate testing, validation, and requirement alignment throughout a system conversion initiative.</p><p>This is a 7-month contract position</p><p>Hybrid work schedule with 3 days a week in the office in Coppell, Texas</p><p>Must have Mortgage Servicing industry experience</p><p><br></p><p><strong><u>Business Analyst with mortgage servicing experience (contract position):</u></strong></p><p>Responsibilities:</p><p>• Partner with accounting, operations, and project stakeholders to collect, clarify, and document business and functional requirements.</p><p>• Analyze accounting data and general ledger structures to support accurate system setup and downstream reporting needs.</p><p>• Translate business needs into detailed process documentation, use cases, and gap analysis findings for project teams.</p><p>• Support data mapping activities by identifying source-to-target relationships and helping resolve conversion issues.</p><p>• Coordinate and execute testing efforts, including test case review, result validation, and defect tracking.</p><p>• Perform reconciliation and data validation activities to confirm financial information is complete and accurate after conversion events.</p><p>• Work with cross-functional teams to identify risks, escalate issues, and maintain alignment on project milestones and deliverables.</p><p>• Provide business analysis support throughout implementation and conversion phases to help ensure a smooth transition within the mortgage servicing environment.</p>
We are looking for a hands-on IT Systems Analyst to deliver reliable technical support in a Microsoft-centric environment in Dallas, Texas. This position is ideal for someone who thrives in a user-facing role, can resolve a broad range of endpoint and application issues, and is comfortable supporting both business staff and leadership. The successful candidate will work with limited oversight, contribute to daily operations, and partner with a distributed IT team to keep systems and users productive.<br><br>Responsibilities:<br>• Deliver Tier II technical assistance for employees using Windows and macOS devices, addressing issues with software, hardware, and user access.<br>• Administer Microsoft 365 services, including user support, configuration tasks, and issue resolution across core applications.<br>• Assist with Microsoft 365 migration-related activities as part of ongoing environment improvements.<br>• Manage Active Directory functions such as account creation, access changes, onboarding setup, and offboarding activities.<br>• Support Intune-managed devices, laptops, mobile hardware, and software deployments to maintain secure and functional endpoints.<br>• Diagnose and resolve problems involving Microsoft applications, peripherals, connectivity, wireless access, and basic network performance.<br>• Own support tickets from intake through closure, keeping users informed with clear and timely status updates.<br>• Maintain accurate records for onsite equipment and update technical documentation to support operational continuity.<br>• Help orient and train new employees on systems, devices, and standard technology practices.<br>• Use Microsoft Copilot and other AI-enabled tools to streamline support processes and improve team efficiency.
<p>Seeking a hands-on Data Platform Engineer to build and operate the AWS infrastructure supporting an enterprise analytics environment. This is an engineering-focused position centered on <strong>building pipelines, orchestration, and cloud infrastructure</strong>, not dashboards or business analysis.</p><p><br></p><p>What You'll Do</p><ul><li>Build and maintain an AWS-based data platform and Amazon Redshift environment.</li><li>Code and build data pipelines using Python, dbt, and AWS Lambda.</li><li>Work across AWS services including S3, Glue, Step Functions, IAM, and CloudWatch.</li><li>Develop ETL/ELT processes and data transformation workflows.</li><li>Monitor pipeline health and troubleshoot failures, latency, and infrastructure issues.</li><li>Build for reliability, scalability, security, and cloud cost efficiency.</li><li>Support data ingestion into the warehouse environment.</li><li>Maintain data-flow documentation and operational runbooks.</li><li>Translate analytics requirements into technical pipeline and infrastructure solutions.</li><li>Recommend automation and architectural improvements as the platform grows.</li></ul>
We are looking for a Senior Data Engineer to help shape and expand a modern enterprise data ecosystem in Dallas, Texas. This role is ideal for a highly technical specialist who enjoys building scalable cloud-based data solutions, improving platform performance, and collaborating with both engineering and business leaders. The position offers the opportunity to contribute directly to lakehouse design, advanced pipeline development, and data initiatives that support analytics and emerging AI use cases.<br><br>Responsibilities:<br>• Architect and develop scalable data platforms using Azure Databricks, Spark, PySpark, Python, Delta Lake, and related big data technologies.<br>• Create and maintain layered lakehouse data models across raw, refined, and curated environments to support enterprise reporting and analytics.<br>• Lead the movement of legacy data assets into Azure-based cloud environments as part of broader platform modernization efforts.<br>• Build, enhance, and monitor high-volume ETL and streaming workflows, notebooks, and distributed processing jobs for reliability and efficiency.<br>• Integrate tools such as Azure Synapse Analytics and Azure Data Factory to support end-to-end data ingestion, transformation, and delivery.<br>• Improve performance of large-scale data workloads by tuning Spark jobs, optimizing code, and applying engineering best practices.<br>• Establish and follow modern software delivery standards through source control, Azure DevOps pipelines, CI/CD processes, and deployment automation.<br>• Prepare and structure data for machine learning, generative AI, and MLOps initiatives, including feature creation and production-ready integration.<br>• Work closely with implementation partners, architects, technical teams, business stakeholders, and senior leadership to align solutions with organizational goals.<br>• Contribute hands-on engineering expertise while also helping guide technical design and platform architecture decisions.