<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><strong>RATE: $60 - $65/HOUR</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><br></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 large-scale enterprise implementation, while partnering with both business and technical teams to maintain accuracy and consistency. The ideal candidate brings strong analytical ability, hands-on data migration experience, and the communication skills needed to guide data-related activities from planning through execution.<br><br>Responsibilities:<br>• Examine legacy data sources to identify migration needs, data dependencies, and conversion priorities for the new enterprise platform.<br>• Prepare data for migration by performing cleansing, standardization, mapping, and transformation activities to improve quality and usability.<br>• Coordinate extraction, load, and reconciliation efforts to confirm that converted data is complete, accurate, and aligned with business expectations.<br>• Work closely with stakeholders, IT teams, and external implementation partners to investigate discrepancies and resolve data-related issues efficiently.<br>• Assist with test cycles, trial conversions, and cutover readiness activities to support a smooth transition into production.<br>• Create and maintain clear documentation for migration logic, validation rules, workflows, and internal controls.<br>• Monitor data quality throughout the project lifecycle and help uphold governance, integrity, and compliance standards.<br>• Use analytical and reporting tools to evaluate migration results, identify trends, and provide actionable insights to project teams.
We are looking for a Data Engineer to join a mission-driven team, where you will design and support the data foundation behind clinical reporting, advanced analytics, and predictive healthcare solutions. This contract position offers the opportunity to build dependable, scalable data workflows that deliver information from healthcare platforms and other source systems to clinicians and business teams. The role is highly hands-on and centers on transforming complex healthcare data into trusted, well-structured assets that support operational and clinical decision-making.<br><br>Responsibilities:<br>• Design, develop, and maintain robust data pipelines that move information from healthcare platforms and related source systems into analytics and reporting environments.<br>• Prepare, standardize, and validate data from claims, clinical records, and social determinants of health sources to ensure accuracy and usability.<br>• Apply sound data modeling practices to organize information for warehousing, business intelligence, and advanced analytical use cases.<br>• Build scalable processing solutions using tools such as Python, Apache Spark, Hadoop, and Kafka to support high-volume data operations.<br>• Partner with analytics, clinical, and business stakeholders to deliver reliable datasets that power descriptive, predictive, and prescriptive insights.<br>• Monitor pipeline performance, troubleshoot data issues, and improve the reliability and efficiency of end-to-end ETL processes.<br>• Support the full lifecycle of data initiatives, from source integration and transformation through delivery for reporting and analytical applications.
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>· 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 Financial Analyst to join a growing manufacturing organization in Plano, Texas. This position plays an important role in planning, forecasting, and performance analysis, helping leadership understand financial results and make informed business decisions. The role offers exposure to strategic initiatives, executive-level reporting, and cross-functional collaboration in a manufacturing-focused environment.</p><p><br></p><p>Responsibilities:</p><p>• Evaluate financial and operational data to identify performance patterns, risks, and opportunities across the business.</p><p>• Prepare recurring monthly and quarterly analyses that explain results against budget, forecast, and operating plans.</p><p>• Build, update, and refine forecasting models, budgeting tools, and long-range planning materials to support business planning.</p><p>• Investigate unexpected financial fluctuations and provide clear explanations for variances to management.</p><p>• Create ad hoc reports and decision-support analysis for leadership as business needs evolve.</p><p>• Partner with teams using business intelligence platforms to develop dashboards and improve visibility into key metrics.</p><p>• Develop financial models that assess potential strategic initiatives, investments, and new business opportunities.</p><p>• Deliver timely financial insights and detailed analysis to senior leaders to support operational and strategic decisions.</p><p>• Contribute to executive and board-level presentation materials by organizing financial findings into clear, actionable summaries.</p>
We are looking for a Marketing Analyst to support data-driven marketing decisions for a Long-term Contract position based in Fort Worth, Texas. This role focuses on turning campaign and customer data into clear insights that improve targeting, channel performance, and return on investment. The ideal candidate is comfortable working across analytics platforms and marketing systems to evaluate results, identify opportunities, and guide optimization efforts.<br><br>Responsibilities:<br>• Analyze marketing and campaign data to uncover trends, measure effectiveness, and provide actionable recommendations to stakeholders.<br>• Use Google Analytics and Adobe Analytics to monitor digital performance, build reports, and interpret user behavior across channels.<br>• Evaluate paid media activity, including Google AdWords campaigns, to improve audience reach, conversion outcomes, and budget efficiency.<br>• Partner with marketing and CRM teams to develop performance dashboards and track key metrics tied to customer engagement and retention.<br>• Translate complex data into concise findings that support planning, forecasting, and campaign optimization decisions.<br>• Maintain reporting accuracy by validating data sources, identifying inconsistencies, and supporting ongoing analytics improvements.<br>• Assist with marketing measurement processes related to platform or workflow changes when needed, ensuring continuity in reporting and insight delivery.
<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.
We are looking for a Senior Analytics Engineer to lead and advance the organization’s data and analytics ecosystem in Fort Worth, Texas. This role will serve as the central technical expert for analytics, shaping scalable reporting, data modeling, and platform strategy while working closely with leadership on high-impact business decisions. The ideal candidate combines strong engineering depth with business insight and can independently drive modern analytics initiatives, including future-focused work in predictive modeling and machine learning.<br><br>Responsibilities:<br>• Lead the day-to-day ownership, support, and continuous improvement of the company’s analytics environment across reporting, modeling, and data delivery.<br>• Design, develop, and refine interactive Power BI solutions that provide clear, reliable insights for operational and executive stakeholders.<br>• Create and maintain robust semantic, relational, and dimensional data models that support consistent reporting and analytical accuracy.<br>• Partner with senior leaders to translate business questions into actionable data products, metrics, and decision-support tools.<br>• Expand the use of Microsoft Fabric, including lakehouse and Direct Lake capabilities, to strengthen scalability and performance across the analytics platform.<br>• Drive initiatives related to predictive analytics and machine learning by identifying opportunities, developing analytical approaches, and supporting implementation.<br>• Establish stronger standards for data governance, documentation, validation, testing, and monitoring to improve trust in analytics outputs.<br>• Support evaluation and onboarding efforts for additional analytics talent, including offshore Power BI resources, while providing technical guidance to future team members.<br>• Contribute to the definition of long-term analytics architecture, development practices, and platform standards that align with business growth.<br>• Manage data integration workflows involving systems such as Salesforce and Fivetran to ensure dependable and timely access to business data.