We are looking for a Data Scientist to help strengthen turbine reliability and improve operational visibility across a power generation fleet in Houston, Texas. This position combines hands-on data preparation, advanced analytics, and business reporting to turn complex equipment and performance data into practical insights for engineering and leadership teams. The ideal candidate can move comfortably between developing dashboards, analyzing downtime patterns, and creating predictive tools that support maintenance and performance decisions.<br><br>Responsibilities:<br>• Create and enhance dashboard reporting that highlights fleet financial results, equipment availability, and the primary factors affecting cost and performance.<br>• Convert operational and maintenance data into meaningful metrics and recurring reports for engineering teams, business partners, and leadership stakeholders.<br>• Gather, organize, and refine downtime, outage, and maintenance records from multiple operational sources and field documentation to support reliable analysis.<br>• Evaluate failure and outage events to identify root causes and categorize trends across mechanical, electrical, controls, weather, and grid-related issues.<br>• Build and maintain a dependable historical data set that supports querying, trend analysis, and long-term reliability reviews across the turbine fleet.<br>• Design and implement statistical and machine learning models that anticipate downtime risk, detect component deterioration, and support earlier intervention.<br>• Develop anomaly detection and early alert solutions using sensor and operating data such as vibration, temperature, pressure, and combustion-related measurements.<br>• Partner with reliability, operations, engineering, and asset management teams to validate analytical findings, improve data pipelines, and recommend maintenance strategy adjustments based on observed trends.<br>• Present technical conclusions and business implications clearly to both specialized and non-technical audiences, including management and leadership teams.
We are looking for an experienced, detail-oriented finance specialist to support planning, reporting, and business decision-making for a growing manufacturing organization in Houston, Texas. This role will partner with operational and leadership teams to interpret financial results, build forward-looking analyses, and communicate clear recommendations to executives. The ideal candidate brings strong FP&A capability, understands manufacturing cost drivers, and can work effectively in both English and Spanish across multiple locations.<br><br>Responsibilities:<br>• Develop financial models, forecasts, and annual operating plans to support strategic and day-to-day business decisions.<br>• Analyze monthly and quarterly results, identify performance trends, and explain key variances against budget, forecast, and prior periods.<br>• Partner with plant and business leaders to translate financial data into practical insights that improve operational and financial performance.<br>• Prepare concise executive-level summaries, presentations, and reporting materials that clearly communicate financial outcomes and recommendations.<br>• Support the budgeting cycle by coordinating inputs, validating assumptions, and helping maintain a disciplined planning process.<br>• Monitor manufacturing-related financial drivers, including cost behavior and production impacts, to strengthen business understanding and decision support.<br>• Collaborate with teams across Spanish-speaking locations to gather information, discuss results, and ensure alignment on financial priorities.<br>• Contribute to process improvement efforts and assist with finance-related system or reporting changes when needed.
<p>Financial Analyst</p><p>The Woodlands, TX (Fully In-Office)</p><p>Our client, a growing regional organization with operations across multiple states, is seeking a Financial Analyst for an immediate opportunity. This is a newly created position driven by company growth and offers significant visibility throughout the organization.</p><p>The Financial Analyst will partner closely with Accounting, Finance, Operational, Supply Chain, and Logistics leadership to analyze business performance, develop meaningful reporting, and identify opportunities for operational improvement. This role is ideal for a data-driven professional who enjoys working with large datasets, building impactful dashboards, and supporting strategic decision-making.</p><p>Key Responsibilities</p><ul><li>Analyze operational and financial data to identify trends, opportunities, and key performance indicators (KPIs).</li><li>Develop, maintain, and enhance complex reporting and dashboards utilizing Power BI.</li><li>Partner with Accounting, Finance, Operations, Supply Chain, and Logistics teams to provide actionable insights that drive business performance.</li><li>Monitor and analyze capital expenditures (CapEx) and operational expenditures (OpEx).</li><li>Support the purchase, movement, tracking, and analysis of physical goods across multiple locations.</li><li>Perform supply chain and logistics analysis to identify inefficiencies, optimize processes, and improve operational performance.</li><li>Analyze inventory movement, utilization trends, transportation metrics, and distribution-related data to support business objectives.</li><li>Assist leadership with forecasting, budgeting, performance analysis, and operational reporting.</li><li>Create and automate reporting processes to improve efficiency and decision-making.</li><li>Present findings and recommendations to various levels of management.</li></ul><p><br></p>
<p>Our client, a B2B organization in Houston, is looking for a Digital Marketing Analyst to turn marketing data into clear, actionable insight. This person will measure campaign performance across channels, build reporting that leadership relies on, and help the team spend smarter. It's a great fit for someone who is as comfortable telling the story behind the numbers as building the dashboard.</p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Build and maintain dashboards and recurring reports in [Tableau / Power BI / Looker Studio]</li><li>Analyze performance across paid, organic, email, social, and web channels to identify trends and opportunities</li><li>Manage GA4 configuration, event tracking, and tag management through Google Tag Manager</li><li>Develop and refine attribution models to measure channel contribution to revenue</li><li>Calculate and report on KPIs including CAC, ROAS, conversion rates, and customer lifetime value</li><li>Partner with marketing, sales, and finance to define goals and measurement frameworks</li><li>Design and analyze A/B and multivariate tests</li><li>Present findings and recommendations tostakeholders in clear, non-technical terms</li></ul><p><br></p><p><br></p>
We are looking for a Data Engineer to join our Data & Analytics team in Houston, Texas, and help strengthen the reporting foundation that supports decisions across the business. In this role, you will shape data into reliable, business-ready models, develop scalable reporting structures, and work closely with teams such as Finance and Operations to turn complex rules into clear insights. This position blends technical data engineering with analytics-focused development, offering the opportunity to improve reporting quality, maintain dependable data flows, and contribute to ongoing enhancements in our analytics environment.<br><br>Responsibilities:<br>• Develop and maintain structured data models, including staging layers, reporting tables, and dimensional designs within the Azure-based data warehouse environment.<br>• Create and support Power BI semantic models, calculated measures, security configurations, dashboards, and reports used for operational and enterprise reporting.<br>• Monitor scheduled data workflows and dataset refresh activity, investigate processing issues, and resolve failures to keep reporting available and accurate.<br>• Adjust and enhance existing ETL and orchestration processes as business needs evolve, using tools such as Azure Data Factory and related Microsoft data platforms.<br>• Collaborate with stakeholders across functions to translate reporting needs, financial logic, and operational rules into dependable analytical solutions.<br>• Produce clear technical and business documentation covering model design, metric definitions, transformation logic, and data ownership.<br>• Apply and help refine development standards for naming, modeling approach, query design, and reporting structure to improve consistency and quality.<br>• Identify opportunities to streamline current data practices, improve performance, and introduce effective tools or methods that strengthen analytics capabilities.
<p>We are looking for a Financial Analyst to join our manufacturing team in Houston, Texas and contribute to informed financial decision-making across a growing organization. This role will focus on turning financial data into meaningful insights, supporting leadership with reporting and forecasting, and helping improve operational performance. The ideal candidate brings strong analytical ability, sound business judgment, and the motivation to grow within a fast-paced environment.</p><p><br></p><p>Responsibilities:</p><p>• Create financial analyses, forecasts, and management reports that support planning and business decisions.</p><p>• Prepare recurring and ad hoc reporting on financial performance, including trend analysis, key indicators, and budget-to-actual comparisons.</p><p>• Evaluate operational and financial results to uncover opportunities for greater efficiency and improved performance.</p><p>• Build and refine financial models that guide strategic planning, budgeting, and scenario analysis.</p><p>• Partner with leadership to deliver project-based analysis and recommendations for business initiatives.</p><p>• Stay current on applicable financial policies, reporting practices, and internal guidelines to ensure accurate analysis.</p><p>• Assist the Division Controller with special requests, customized reporting, and other analytical needs as they arise.</p><p><br></p><p>For immediate consideration contact Mark, mark.loiacano@roberthalf</p>
We are looking for an experienced Lead Data Engineer to oversee the design, implementation, and management of advanced data infrastructure in Houston, Texas. This role requires expertise in architecting scalable solutions, optimizing data pipelines, and ensuring data quality to support analytics, machine learning, and real-time processing. The ideal candidate will have a deep understanding of Lakehouse architecture and Medallion design principles to deliver robust and governed data solutions.<br><br>Responsibilities:<br>• Develop and implement scalable data pipelines to ingest, process, and store large datasets using tools such as Apache Spark, Hadoop, and Kafka.<br>• Utilize cloud platforms like AWS or Azure to manage data storage and processing, leveraging services such as S3, Lambda, and Azure Data Lake.<br>• Design and operationalize data architecture following Medallion patterns to ensure data usability and quality across Bronze, Silver, and Gold layers.<br>• Build and optimize data models and storage solutions, including Databricks Lakehouses, to support analytical and operational needs.<br>• Automate data workflows using tools like Apache Airflow and Fivetran to streamline integration and improve efficiency.<br>• Lead initiatives to establish best practices in data management, facilitating knowledge sharing and collaboration across technical and business teams.<br>• Collaborate with data scientists to provide infrastructure and tools for complex analytical models, using programming languages like Python or R.<br>• Implement and enforce data governance policies, including encryption, masking, and access controls, within cloud environments.<br>• Monitor and troubleshoot data pipelines for performance issues, applying tuning techniques to enhance throughput and reliability.<br>• Stay updated with emerging technologies in data engineering and advocate for improvements to the organization's data systems.
<p>Our client in North Houston is seeking a motivated, detail-oriented <strong>Billing Specialist on a contract to full-time basis</strong> to prepare, review, and issue accurate customer invoices in a timely manner. This role works closely with Sales, Operations, and Accounting to resolve billing discrepancies, maintain accurate records, and support financial reporting and month-end close activities. <strong>This position is fully onsite, Monday-Friday from 8-5pm. </strong></p><p><strong>Key Responsibilities</strong></p><ul><li>Prepare, review, and send customer invoices based on contracts, sales orders, and service documentation.</li><li>Verify billing details such as pricing, quantities, purchase orders, and account information.</li><li>Research and resolve billing discrepancies with internal teams.</li><li>Maintain organized billing records and supporting documentation.</li><li>Respond to customer billing questions and provide requested backup.</li><li>Monitor unbilled items to ensure timely invoicing.</li><li>Assist with month-end and year-end close, reconciliations, and reporting.</li><li>Partner with Collections and Accounts Receivable to resolve payment discrepancies.</li><li>Support process improvements to increase billing accuracy and efficiency.</li><li>Provide backup support to billing team members or front desk as needed.</li></ul><p><br></p>
We are looking for a D365 CRM Business Analyst to support business stakeholders by translating operational and customer engagement needs into effective Microsoft Dynamics 365 CRM solutions. This role focuses on evaluating data, improving business processes, and guiding system enhancements that strengthen sales and marketing performance. The position is based in Houston, Texas, and requires close coordination with technical teams, project leadership, and end users to deliver reliable, well-documented outcomes.<br><br>Responsibilities:<br>• Partner with business teams to gather, clarify, and document functional needs related to Dynamics 365 CRM and supporting business processes.<br>• Evaluate proposed changes to applications and workflows to identify business impact, system dependencies, and implementation considerations.<br>• Advise stakeholders on solution options, system improvements, and future-state enhancements aligned with organizational goals.<br>• Provide informed guidance on system functionality, data usage, process flow, and expected outputs for both current and planned capabilities.<br>• Define detailed business and functional specifications that enable successful configuration, development, and deployment activities.<br>• Prepare status updates, reporting materials, timelines, and visual summaries to communicate project progress and expectations to key stakeholders.<br>• Coordinate and support testing activities, maintain accurate documentation, and verify that system modifications perform as intended.<br>• Work closely with project managers, IT teams, and external vendors to ensure deliverables meet business needs and project commitments.<br>• Investigate application issues, analyze root causes, and support resolution efforts using data samples, test results, and system analysis.<br>• Stay informed on Dynamics 365 CRM standards, industry developments, Agile delivery practices, and DevOps approaches to recommend effective solutions.
<p>Join a growing data engineering team supporting mission-critical analytics and business operations within the <strong>energy, commodities trading, oil & gas, or financial services sector</strong>. This role is focused on designing and supporting cloud-based data solutions using <strong>Python, Snowflake, and AWS</strong>, enabling scalable, reliable, and high-performance data platforms.</p><p>You will work closely with business stakeholders, analysts, and engineering teams to build production-grade data pipelines, modernize legacy data environments, and deliver trusted datasets that support operational and strategic decision-making.</p><p><br></p><p>Responsibilities</p><ul><li>Design, develop, and maintain scalable <strong>Python-based data pipelines</strong> that ingest, transform, and deliver data from internal and external sources.</li><li>Build and optimize data models within <strong>Snowflake</strong>, ensuring performance, scalability, and cost efficiency.</li><li>Develop ELT/ETL solutions leveraging cloud-native AWS services.</li><li>Create, monitor, and support batch and near real-time data integration workflows.</li><li>Work with structured, semi-structured, and time-series datasets from operational, trading, financial, and market data systems.</li><li>Modernize legacy data processes and migrate legacy database workloads into modern cloud architectures.</li><li>Implement data quality, reconciliation, monitoring, and alerting capabilities across the data platform.</li><li>Collaborate with analysts, traders, business users, and technology teams to deliver data solutions aligned with business objectives.</li><li>Participate in code reviews, testing, documentation, and deployment activities following engineering best practices.</li><li>Support production environments and troubleshoot data pipeline issues as needed.</li></ul><p><br></p><p><br></p><p><br></p>