<p><strong>Summary</strong></p><p>The Business Intelligence Analyst (Entry Level) supports the Business Intelligence & Data team by understanding and writing data queries, building visualizations, and working with end users to obtain clear and concise report requirements. The candidate should have familiarity with data models/relationships and strong analytical skills with great attention to detail. Eagerness to learn the business is a must. </p><p><strong> </strong></p><p><strong>Key Responsibilities</strong></p><ul><li>Assist in developing, maintaining, and enhancing dashboards and reports using BI tools </li><li>Extract, transform, and load (ETL) data from various sources into BI tools and databases </li><li>Perform data validation, reconciliation, and quality checks across multiple data sources</li><li>Translate business requirements into technical reporting specifications</li><li>Document data sources, transformations, metrics definitions, and report logic</li><li>Collaborate with BI & Data team and business stakeholders to produce impactful reports</li></ul><p><br></p>
Position: Data Analyst | Business Intelligence Analyst<br>Location: Kansas City, MO - Onsite<br>Salary: up to $95,000 base + excellent benefits<br><br>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***<br><br>Join a thriving, financially strong manufacturing company that’s investing in data to drive smarter decisions and operational excellence. Our client is seeking a Data Analyst | Power BI Developer with experience to help transform raw data into actionable insights that fuel growth and innovation.<br>What You’ll Do:<br> · Build and maintain dynamic Power BI dashboards, reports, and data models<br> · Write and optimize SQL queries and stored procedures on SQL Server<br> · Partner with business stakeholders to understand reporting needs and deliver clear, impactful visualizations<br> · Ensure accuracy, performance, and security across BI solutions<br>What You Bring:<br> · 3+ years of hands-on experience with Power BI and SQL Server<br> · Strong skills in T-SQL, DAX, and Power Query<br> · Solid understanding of ETL processes and data warehousing<br> · Excellent communication and problem-solving abilities<br>Bonus Skills:<br> · Exposure to Azure SQL, Data Factory, SSIS/SSRS<br><br>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. Also, you may contact me by office: 515-303-4654 or mobile: 515-771-8142. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
Position: Data Analyst | Business Intelligence Analyst<br>Location: Kansas City, MO - Onsite<br>Salary: $80,000 - 90,000 base annual salary + excellent benefits<br><br>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. ***<br><br>Join a thriving, financially strong manufacturing company that’s investing in data to drive smarter decisions and operational excellence. Our client is seeking a Data Analyst | Power BI Developer with experience to help transform raw data into actionable insights that fuel growth and innovation.<br>What You’ll Do:<br> · Build and maintain dynamic Power BI dashboards, reports, and data models<br> · Write and optimize SQL queries and stored procedures on SQL Server<br> · Partner with business stakeholders to understand reporting needs and deliver clear, impactful visualizations<br> · Ensure accuracy, performance, and security across BI solutions<br>What You Bring:<br> · 3+ years of hands-on experience with Power BI and SQL Server<br> · Strong skills in T-SQL, DAX, and Power Query<br> · Solid understanding of ETL processes and data warehousing<br> · Excellent communication and problem-solving abilities<br>Bonus Skills:<br> · Exposure to Azure SQL, Data Factory, SSIS/SSRS<br><br>*** For immediate and confidential consideration, please send a message to MEREDITH CARLE on LinkedIn or send an email to me with your resume. My email can be found on my LinkedIn page. Also, you may contact me by office: 515-303-4654 or mobile: 515-771-8142. Or one click apply on our Robert Half website. No third party inquiries please. Our client cannot provide sponsorship and cannot hire C2C. ***
We are looking for a motivated Data Analyst to join our team in Pittsburgh, Pennsylvania. This contract-to-permanent position offers an exciting opportunity to work closely with finance teams, gaining hands-on experience with data systems and processes. The ideal candidate will be eager to learn and contribute to maintaining and improving our data operations.<br><br>Responsibilities:<br>• Collaborate with finance teams to understand and address data-related queries and issues.<br>• Learn and master the organization's data warehouse systems to provide effective support.<br>• Perform regular maintenance routines to ensure data systems are functioning optimally.<br>• Automate existing processes to enhance efficiency and accuracy.<br>• Gain familiarity with Oracle's EPM platform and its application in financial data analysis.<br>• Develop an understanding of hierarchy and dimensions within data structures.<br>• Participate in training sessions to expand knowledge of Oracle platforms and related tools.<br>• Implement solutions to streamline data workflows and operations.<br>• Work onsite for a majority of the workweek, adhering to the team's schedule.
<p>Essential Duties and Responsibilities:</p><p> · Knowledge of database coding and tables; as well as general database management</p><p> · Understanding of client management, support, and communicating progress and timelines accordingly</p><p> · Organizes and/or leads Informatics projects in the implementation/use of new data warehouse tools and systems</p><p> · Ability to train new hires; as well as lead in training of new client staff members</p><p> · Understanding data schema and the analysis of database performance and accuracy</p><p> · Understanding of ETL tools, OLAP design, and data quality processes</p><p> · Knowledge of Business Intelligence life cycle: planning, design, development, validation, deployment, documentation, and ongoing support</p><p> · Working knowledge of electronic medical records software (eCW, Nextgen, etc) and the backend storage of that data</p><p> · Ability to generate effective probability modeling and statistics as it pertains to healthcare outcomes and financial risks</p><p> · Ability to manage sometimes lengthy and complicated projects from throughout the life cycle and meet the deadlines associated with these projects</p><p> · Development, maintenance, technical support of various reports and dashboards</p><p> · Knowledge of Microsoft® SQL including coding language, creation of tables, stored procedures, and query design</p><p> · Fundamental understanding of outpatient healthcare workflows</p><p> · Knowledge of relational database concepts and flat/formatted file processing.</p><p> · Possesses strong commitment to data validation processes in order to ensure accuracy of reporting (internal quality control)</p><p> · Possesses a firm grasp of patient confidentiality and system security practices to prevent HIPAA and other security violations.</p><p> · Knowledge of IBM Cognos® or other database reporting software such as SAS, SPSS, and Crystal Reports</p><p> · Ability to meet the needs of other members of the Informatics department to maximize efficiency and minimize complexity of end-user products</p><p><br></p><p>Requirements:</p><p> · Education: Bachelor's Degree</p><p> · Proven experience as a dbt Developer or in a similar Data Engineer role.</p><p> · Expert-level SQL skills — capable of writing, tuning, and debugging complex queries across large datasets.</p><p> · Strong experience with Snowflake or comparable data warehouse technologies (BigQuery, Redshift, etc.).</p><p> · Proficiency in Python for scripting, automation, or data manipulation.</p><p> · Solid understanding of data warehousing concepts, modeling, and ELT workflows.</p><p> · Familiarity with Git or other version control systems.</p><p> · Experience working with cloud-based platforms such as AWS, GCP, or Azure.</p><p><br></p><p><br></p>
<p><strong>Robert Half is seeking a Data Analyst to support a Financial Services organization focused on Incentive Compensation operations.</strong> This role supports the ongoing enhancement and maintenance of incentive compensation models and reporting processes. The position is a <strong>remote contract-to-hire opportunity</strong> with strong conversion potential due to team growth and project backlog.</p><p>Apply today!</p><p><br></p><p>Job Details:</p><ul><li><strong>Schedule:</strong> 8:am PST - 5:00pm PST </li><li><strong>Duration:</strong> Contract-to-Hire</li><li><strong>Location:</strong> Remote</li></ul><p><br></p><p><br></p><p>Job Responsibilities:</p><ul><li>Build and enhance <strong>Anaplan Incentive Compensation models</strong> (formulas, modules, lists, import actions)</li><li>Support <strong>monthly IC processing</strong> including data preparation, QA validation, reconciliations, and reporting</li><li>Develop and maintain <strong>SQL and Snowflake queries</strong> feeding Anaplan models</li><li>Document processes, business logic, and test steps to ensure audit readiness</li><li>Partner with the Lead IC Data Analyst to execute a backlog of enhancements and reporting requests</li><li>Support audit inquiries and implement small automation/quality improvements</li><li>Assist with integration of new employees from acquisitions into compensation systems</li><li>Update SQL logic and Anaplan models to support new financial product</li></ul><p><br></p>
Key Responsibilities:<br><br>· Design, develop, and maintain scalable backend systems to support data warehousing and data lake initiatives.<br><br>· Build and optimize ETL/ELT processes to extract, transform, and load data from various sources into centralized data repositories.<br><br>· Develop and implement integration solutions for seamless data exchange between systems, applications, and platforms.<br><br>· Collaborate with data architects, analysts, and other stakeholders to define and implement data models, schemas, and storage solutions.<br><br>· Ensure data quality, consistency, and security by implementing best practices and monitoring frameworks.<br><br>· Monitor and troubleshoot data pipelines and systems to ensure high availability and performance.<br><br>· Stay up-to-date with emerging technologies and trends in data engineering and integration to recommend improvements and innovations.<br><br>· Document technical designs, processes, and standards for the team and stakeholders.<br><br><br><br>Qualifications:<br><br>· Bachelor’s degree in Computer Science, Engineering, or a related field; equivalent experience considered.<br><br>· Proven experience as a Data Engineer with 5 or more years of experience; or in a similar backend development role.<br><br>· Strong proficiency in programming languages such as Python, Java, or Scala.<br><br>· Hands-on experience with ETL/ELT tools and frameworks (e.g., Apache Airflow, Talend, Informatica, etc.).<br><br>· Extensive knowledge of relational and non-relational databases (e.g., SQL, NoSQL, PostgreSQL, MongoDB).<br><br>· Expertise in building and managing enterprise data warehouses (e.g., Snowflake, Amazon Redshift, Google BigQuery) and data lakes (e.g., AWS S3, Azure Data Lake).<br><br>· Familiarity with cloud platforms (AWS, Azure, Google Cloud) and their data services.<br><br>· Experience with API integrations and data exchange protocols (e.g., REST, SOAP, JSON, XML).<br><br>· Solid understanding of data governance, security, and compliance standards.<br><br>· Strong analytical and problem-solving skills with attention to detail.<br><br>· Excellent communication and collaboration abilities.<br><br><br><br>Preferred Qualifications:<br><br>· Certifications in cloud platforms (AWS Certified Data Analytics, Azure Data Engineer, etc.)<br><br>· Experience with big data technologies (e.g., Apache Hadoop, Spark, Kafka).<br><br>· Knowledge of data visualization tools (e.g., Tableau, Power BI) for supporting downstream analytics.<br><br>· Familiarity with DevOps practices and tools (e.g., Docker, Kubernetes, Jenkins).
We are looking for a skilled Data Analyst / Engineer to join our team in Marysville, Ohio. In this long-term contract position, you will play a vital role in analyzing complex data sets, developing solutions, and ensuring data security and quality. This onsite role requires working four days a week on location, collaborating with cross-functional teams to drive insightful decision-making.<br><br>Responsibilities:<br>• Analyze and interpret complex data sets to uncover meaningful insights and trends.<br>• Design and maintain efficient data pipelines utilizing AWS services such as S3, Redshift, and Lambda.<br>• Collaborate with developers, designers, and business stakeholders to gather requirements and deliver tailored data solutions.<br>• Present findings and recommendations effectively to both technical and non-technical audiences.<br>• Lead data-related projects, ensuring accurate and timely delivery of tasks.<br>• Implement data governance standards and best practices to maintain data integrity and security.<br>• Create and manage data models, dashboards, and reports to visualize performance metrics.<br>• Troubleshoot data issues and provide technical support to resolve challenges.<br>• Stay informed on emerging data technologies to improve processes and outcomes.
<p>Robert Half is seeking a skilled <strong>Power BI Analyst </strong>with deep expertise in <strong>Power BI</strong> and the <strong>Microsoft Fabric ecosystem</strong> to support reporting, analytics, and data optimization initiatives for a law firm based in Seattle, WA. This role is ideal for someone who enjoys troubleshooting complex reporting issues, optimizing DAX for performance, and partnering with other analysts to elevate overall data quality and usability.</p><p><br></p><p><strong>Duration:</strong> 3 months with potential to extend</p><p><strong>Location: </strong>100% Remote</p><p><strong>Schedule:</strong> Monday - Friday 8 to 5pm (Core Hours)</p><p><br></p><p>The Power BI Analyst will play a key role in reviewing and enhancing existing reports, building new analytics solutions, and ensuring secure, scalable, and well-governed reporting across the organization.</p><p> </p><p><strong>Job Responsibilities: </strong></p><ul><li>Review and remediate a backlog of Power BI reports that are not functioning correctly.</li><li>Enhance existing reports and create new Power BI reports and dashboards to meet business needs.</li><li>Validate report accuracy, refresh schedules, and data sources.</li><li>Translate business requirements into effective reporting solutions.</li><li>Build, maintain, and enhance Power BI data models.</li><li>Write, optimize, and refactor DAX expressions to improve report performance and scalability.</li><li>Review Power BI reports created by other analysts and provide recommendations for DAX optimization and model improvements.</li><li>Create data ingestion workflows and reporting stories using Fabric tools.</li><li>Support data lifecycle management and reporting best practices.</li><li>Implement and maintain role-level security (RLS) and object-level security (OLS) within Power BI.</li><li>Ensure reporting solutions comply with data governance, security, and access control standards.</li><li>Support updates and changes to governed datasets and semantic models.</li><li>Troubleshoot credential issues, refresh failures, and report errors.</li><li>Partner with business stakeholders and fellow analysts to resolve data and reporting challenges.</li><li>Contribute to documentation and knowledge sharing to improve team efficiency and reporting quality.</li></ul>
Job Details: - Technical and end user operation management of data warehouse and business intelligence infrastructure on day-to-day basis - Full responsibility of new development tasks to expand functionality of current data warehouse including dashboards/reports - Working with Finance to gather/analyze reporting requirements (Business Analysis) - Presenting technical solutions for new business requirements to manager and final technical implementation - Actively supporting end users and error management of data warehouse with dashboards/reports - Organizing technical and end user testing for final deployments to different technical environments - Creating/maintaining technical and end user documentation - Second technical contact for Business Intelligence
<p><strong>Business Intelligence Analyst</strong></p><p><br></p><p><strong>Location:</strong> Fully Remote (New Haven, CT)</p><p><strong>Employment Type:</strong> 3-Month Contract to Permanent</p><p><br></p><p><strong>Overview</strong></p><p>We are seeking an experienced Business Intelligence Analyst to support enterprise reporting, analytics, and data-driven decision-making. This role works closely with business and technical stakeholders to deliver insights that inform strategy, operations, and performance. The ideal candidate brings a strong analytical foundation, sound business judgment, and the ability to operate with minimal oversight in a dynamic environment.</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Partner with business leaders and functional teams to translate high-level objectives into analytical and reporting solutions</li><li>Design, develop, and maintain dashboards, reports, and analytical models that support both strategic and operational decision-making</li><li>Interpret complex data sets to identify trends, risks, and opportunities across the organization</li><li>Provide guidance on data usage, definitions, and best practices to ensure consistency and reliability</li><li>Support data quality initiatives, validation efforts, and continuous improvement of reporting processes</li><li>Perform ad hoc analysis and provide executive-ready insights as business needs evolve</li><li>Communicate findings clearly and confidently to technical and non-technical audiences</li><li>Contribute to longer-term analytics and reporting roadmaps as needed</li></ul><p><br></p>
<p><strong>Position Summary:</strong></p><p>We are seeking a <strong>Technical Business Analyst / Applications Analyst</strong> to support, enhance, and lead the implementation of enterprise systems, with a focus on <strong>systems integration, APIs, and reporting</strong>. While experience with Ellucian Colleague is a plus, we welcome candidates with expertise in other ERP systems or enterprise platforms used in higher education. The ideal candidate will have a strong background in business analysis, system configuration, and cross-platform integrations, particularly with cloud-based technologies.</p><p><strong> </strong></p><p><strong>Key Responsibilities:</strong></p><ul><li>Lead and manage projects related to the implementation, enhancement, and integration of ERP or enterprise systems (e.g., finance, housing, HR, admissions).</li><li>Collaborate with stakeholders to gather, document, and analyze business and technical requirements.</li><li>Translate business needs into system functionality through configuration, workflow design, and limited coding/customization.</li><li>Work with APIs and integration tools to ensure seamless data exchange across systems.</li><li>Design and support reports and dashboards to meet operational and strategic decision-making needs.</li><li>Create and maintain documentation for system configurations, workflows, data mappings, and integrations.</li><li>Deliver user training and provide ongoing support for system users and departments.</li><li>Stay informed of best practices and trends in ERP systems, data integration, and higher education technology.</li></ul><p><br></p>
<p>We are looking for a highly skilled Sr Data and Business Intelligence Analyst to join a mid size law firm. This role is pivotal in driving data-driven decision-making by benchmarking organizational performance, supporting cross-departmental reporting needs, and implementing advanced business intelligence tools. The ideal candidate will possess a strong analytical mindset and a proven ability to manage and optimize data systems, ensuring the seamless flow of information across the organization.</p><p>This is a remote role for candidates in CA, TX and CO.</p><p><br></p><p>Responsibilities:</p><p>• Develop and maintain comprehensive financial analyses, including profitability, time and billing, accounts payable, accounts receivable, collections, and general ledger, using advanced reporting and querying tools.</p><p>• Collaborate with firm leadership and technical teams to define and implement a business intelligence strategy that aligns with organizational goals.</p><p>• Design, create, and optimize data models, analytics layers, and dashboards using tools like Power BI, Tableau, and Aderant.</p><p>• Provide technical support and guidance to departments such as Finance, Human Resources, and Legal Recruiting to enhance their use of business intelligence applications.</p><p>• Investigate and resolve discrepancies and issues in business systems, ensuring data consistency and integrity across all platforms.</p><p>• Manage and enhance practice management tools related to budgeting, reporting, and data functionalities, while ensuring smooth implementation of new applications.</p><p>• Partner with departments to develop and maintain internal evaluations and surveys, ensuring alignment with organizational objectives.</p><p>• Oversee data flows between various firm systems, including Aderant, IntApp, and payroll systems, to ensure seamless integration and functionality.</p>
We are looking for a skilled Business Intelligence Developer to join our team in Houston, Texas. In this role, you will transform complex data into meaningful insights through advanced data modeling and dynamic dashboards. You will collaborate closely with leadership to translate business needs into technical solutions, ensuring the delivery of high-quality, actionable reports. This is a long-term contract position that offers an exciting opportunity to work with cutting-edge technologies and contribute to strategic decision-making.<br><br>Responsibilities:<br>• Develop and optimize data pipelines within Fabric and Snowflake environments to facilitate efficient real-time and batch reporting.<br>• Design and maintain advanced data models, such as star schemas, ensuring reliable performance and data accuracy.<br>• Create visually engaging and user-friendly dashboards in Power BI, focusing on intuitive data presentation and executive-grade insights.<br>• Implement security measures, including row-level security, to ensure data accessibility is limited to authorized stakeholders.<br>• Collaborate with leadership to identify key performance indicators and translate business requirements into technical specifications.<br>• Conduct root-cause analysis on performance issues, optimizing SQL queries and Power BI expressions for faster response times.<br>• Present reports and dashboards to executive stakeholders, explaining data trends and providing actionable recommendations.<br>• Manage Power BI workspaces and ensure governance practices are in place for secure data sharing.<br>• Work within Agile methodologies using Azure DevOps to track progress and manage development priorities.<br>• Partner with cross-functional teams to align technical solutions with business objectives.
We are looking for an experienced Database Analyst to join our team in Jersey City, New Jersey. This Contract-to-Permanent position offers an opportunity to make a significant impact by leveraging advanced analytics and statistical methodologies to optimize user experiences and drive product innovation. The ideal candidate will collaborate with cross-functional teams to deliver data-driven insights, guide experimentation strategies, and improve key business metrics.<br><br>Responsibilities:<br>• Conduct comprehensive analytical projects to identify opportunities and address challenges within the user journey.<br>• Serve as a strategic partner to product leaders by providing data-based recommendations to shape roadmaps and prioritize initiatives.<br>• Utilize advanced statistical methods, including regression analysis, Bayesian inference, and clustering, to derive actionable insights.<br>• Design and execute experimentation strategies, including A/B testing and quasi-experimental methods, to measure and enhance product performance.<br>• Develop predictive models to anticipate user behavior and assess long-term impacts on business outcomes.<br>• Create and maintain executive-level dashboards to monitor product KPIs and communicate findings effectively using visualization tools.<br>• Translate complex data analyses into clear, actionable recommendations for senior leadership.<br>• Mentor less experienced team members, fostering their skills in analytics, communication, and stakeholder engagement.<br>• Collaborate with engineering and UX teams to ensure alignment and integration of analytical solutions.
<p><strong>Data Pipeline Development</strong></p><ul><li>Design, build, and optimize scalable ETL/ELT pipelines to support analytics and operational workflows.</li><li>Ingest structured, semi-structured, and unstructured data from multiple internal and external sources.</li><li>Automate and orchestrate data workflows using tools like Airflow, Azure Data Factory, AWS Glue, or similar.</li></ul><p><strong>Data Architecture & Modeling</strong></p><ul><li>Develop and maintain data models, data marts, and data warehouses (relational, dimensional, and/or cloud-native).</li><li>Implement best practices for data partitioning, performance optimization, and storage management.</li><li>Work with BI developers, data scientists, and analysts to ensure datasets are structured to meet business needs.</li></ul><p><strong>Cloud Engineering & Storage</strong></p><ul><li>Build and maintain cloud data environments (Azure, AWS, GCP), including storage, compute, and security components.</li><li>Deploy and manage scalable data systems such as Snowflake, Databricks, BigQuery, Redshift, or Synapse.</li><li>Optimize cloud data cost, performance, and governance.</li></ul><p><strong>Data Quality & Reliability</strong></p><ul><li>Implement data validation, error handling, and monitoring to ensure accuracy, completeness, and reliability.</li><li>Troubleshoot pipeline failures, performance issues, and data discrepancies.</li><li>Maintain documentation and data lineage for transparency and auditability.</li></ul><p><strong>Collaboration & Cross‑Functional Support</strong></p><ul><li>Partner with product, engineering, and analytics teams to translate business requirements into technical solutions.</li><li>Support self-service analytics initiatives by preparing high-quality datasets and data products.</li><li>Provide technical guidance on data best practices and engineering standards.</li></ul><p><br></p><p><br></p>
<p>Noe Silva with Robert Half Finance and Accounting is assisting a large organization in securing them a Business Analyst. We are seeking a highly analytical and collaborative Business Analyst to support business and financial planning, performance analysis, cross-functional initiatives, and executive decision-making. This role serves as a strategic partner across departments, enabling data-driven improvements in profitability and operational efficiency. This is a strategic role is reporting to the President. If interested, please contact Noe Silva with Robert Half Finance and Account at 808.452.0264. All inquiries are confidential.</p><p><br></p><p><strong>Business & Financial Planning</strong></p><ul><li>Lead and coordinate the annual budgeting process with accounting and operations teams.</li><li>Analyze financial and operational performance to deliver actionable insights for executive leadership.</li><li>Support the assessment and validation of business plans, investments, and operational strategies.</li></ul><p><strong>Profitability & Cost Management</strong></p><ul><li>Collaborate with Accounting, Production, and Supply Chain teams on cost and margin analysis.</li><li>Lead the development and evaluation of pricing strategies, including impact modeling and performance monitoring.</li><li>Identify, develop, and implement cost reduction and productivity improvement initiatives across sales, distribution, warehousing, and manufacturing.</li></ul><p><strong>Cross-Functional Business Support</strong></p><ul><li>Act as a business and financial thought partner to Sales, Logistics, Warehouse, and Production/Manufacturing teams.</li><li>Translate operational challenges into financial and strategic implications, providing recommendations for improvement.</li><li>Foster departmental alignment around profitability-focused decision making.</li></ul><p><strong>Liaison & Communication</strong></p><ul><li>Serve as a key liaison with global headquarters, aligning on financial performance, budgeting, and strategic goals.</li><li>Support consistency and transparency in financial reporting with the accounting team.</li><li>Facilitate communication and alignment with affiliated entities and external partners as required.</li></ul><p><strong>Executive Decision Support</strong></p><ul><li>Prepare analyses, presentations, and recommendations for executive and leadership meetings.</li><li>Advise executive management with objective, data-driven perspectives.</li><li>Assist leadership with balancing near-term results and long-term organizational goals.</li><li>Take on special projects and other duties as assigned by executive leadership.</li></ul><p><strong>Organizational Positioning</strong></p><ul><li>This position does not perform routine accounting activities.</li><li>No direct reports.</li><li>Success is measured by outcomes, improvements in profitability, and quality of decision support, not by team size.</li></ul><p><br></p><p><br></p><p><br></p>
<p>Role Overview</p><p>You will analyze non‑IT business problems, develop requirements, prepare ROI evaluations, and document current vs. future state processes. In addition, you will manage data extraction, validation, testing, reporting, and dashboard development to support decision‑making and data quality improvements.</p><p>Key Responsibilities</p><ul><li>Analyze business processes and define improvement requirements</li><li>Prepare ROI and financial payback documentation</li><li>Document current/desired state workflows and recommend solutions</li><li>Manage full data lifecycle: extraction → validation → testing → analysis</li><li>Build dashboards and reports to support SAP transition and business insights</li><li>Ensure data accuracy and work cross‑functionally with business and technical teams</li></ul>
<p>We are looking for an experienced Business Analyst IT L3 to join our team in Southern California. In this role, you will serve as a key expert in Transportation and Warehouse Systems, supporting enterprise-level logistics applications to ensure smooth operations and successful project delivery. This is a long-term contract position requiring onsite work four days per week, with occasional travel.</p><p><br></p><p>Responsibilities:</p><p>• Act as a primary functional expert for Warehouse Management and Transportation Management Systems, providing operational and application support.</p><p>• Analyze logistics and warehouse business requirements to develop functional designs, system configurations, and integration solutions.</p><p>• Lead or assist in implementing application enhancements, resolving defects, and managing multi-phase projects.</p><p>• Oversee the full delivery lifecycle, including requirements gathering, design, configuration, testing, deployment, and post-implementation support.</p><p>• Provide daily production support by troubleshooting and resolving issues affecting warehouse operations and transportation systems.</p><p>• Coordinate integrations between logistics platforms, mainframe systems, carriers, and third-party providers to ensure seamless data flow.</p><p>• Investigate production incidents, perform root cause analysis, and collaborate with technical teams and vendors to resolve disruptions.</p><p>• Manage Oracle Cloud operations, including service requests, quarterly updates, regression testing, and business readiness activities.</p><p>• Ensure logistics systems are scalable, secure, and aligned with enterprise standards to support solution and integration architecture.</p><p>• Handle application security and user access, including role setup and troubleshooting for warehouse and transportation platforms.</p>
<p>The Data Engineer role focuses on designing, building, and optimizing scalable data solutions that support diverse business needs. This position requires the ability to work independently while collaborating effectively in a fast-paced, agile environment. The individual in this role partners with cross-functional teams to gather data requirements, recommend enhancements to existing data pipelines and architectures, and ensure the reliability, performance, and efficiency of data processes.</p><p>Responsibilities</p><ul><li>Support the team’s adoption and continued evolution of the Databricks platform, leveraging features such as Delta Live Tables, workflows, and related tooling</li><li>Design, develop, and maintain data pipelines that extract data from relational sources, load it into a data lake, transform it as needed, and publish it to a Databricks-based lakehouse environment</li><li>Optimize data pipelines and processing workflows to improve performance, scalability, and overall efficiency</li><li>Implement data quality checks and validation logic to ensure data accuracy, consistency, and completeness</li><li>Create and maintain documentation including data mappings, data definitions, architectural diagrams, and data flow diagrams</li><li>Develop proof-of-concepts to evaluate and validate new technologies, tools, or data processes</li><li>Deploy, manage, and support code across non-production and production environments</li><li>Investigate, troubleshoot, and resolve data-related issues, including identifying root causes and implementing fixes</li><li>Identify performance bottlenecks and recommend optimization strategies, including database tuning and query performance improvements</li></ul>
<p>Since it’s 2026, the Data Engineering landscape in DC has shifted heavily toward <strong>Cloud-Native architectures</strong> and <strong>GenAI-ready pipelines</strong>. Robert Half typically recruits for both their internal corporate teams and their high-end consulting arm (Protiviti).</p><p>Here is a tailored job description based on current 2026 market standards and Robert Half’s specific hiring trends in the District.</p><p><br></p><p>Job Title: Data Engineer</p><p><strong>Location:</strong> Washington, DC (Hybrid – Downtown DC Office)</p><p><strong>Company:</strong> Robert Half </p><p><strong>Employment Type: </strong>Contract-to-Hire</p><p>Role Overview</p><p>As a Data Engineer at Robert Half, you will be the backbone of our data-driven decision-making process. You aren't just "moving data"; you are architecting the flow of information that powers our localized market analytics and global recruitment engines. In the DC market, this often involves handling high-compliance data environments and integrating cutting-edge AI frameworks into traditional ETL workflows.</p><p><br></p><p><br></p>
<p>We are looking for a skilled Reporting Analyst to join our dynamic team in San Antonio, Texas. This role is integral to maintaining the accuracy and efficiency of our loan servicing operations, cash management processes, and investor reporting functions. The ideal candidate will bring expertise in financial modeling, reconciliation, and analytical problem-solving to ensure seamless operations and compliance across multiple systems.</p><p><br></p><p>Responsibilities:</p><p>• Reconcile daily loan servicing transactions, including payments, payoffs, and adjustments, with cash receipts to ensure accuracy.</p><p>• Process borrower payments and updates related to interest, escrow, and adjustments within the servicing system.</p><p>• Investigate and resolve discrepancies in cash reconciliation processes promptly.</p><p>• Prepare and review monthly investor remittance reports, ensuring data accuracy and compliance.</p><p>• Conduct financial modeling to calculate interest charges and disbursements for warehouse lending operations.</p><p>• Analyze loan sale trade terms and reconcile them with system data and third-party servicer records.</p><p>• Perform quality control checks on servicing records across internal and external systems to maintain data integrity.</p><p>• Update internal systems with escrow balance changes and insurance-related transactions executed by third-party providers.</p><p>• Develop and implement internal controls to enhance the accuracy of cash flow reporting and loan accounts</p>
<p>Business Intelligence Developer</p><p><br></p><p><strong>Location:</strong> Remote</p><p><br></p><p><strong>Clearance:</strong> Must hold an <strong>active DOJ Public Trust</strong></p><p><br></p><p><strong>Citizenship:</strong> <strong>U.S. Citizenship required</strong></p><p><br></p><p>Position Overview</p><p>Seeking a Business Intelligence Developer to lead the development and delivery of high‑impact reports and dashboards supporting Federal Government clients. This role focuses on building scalable, high‑performance analytics solutions using Microsoft Power BI and Azure‑based data services in a cloud environment. The ideal candidate has strong experience partnering with business stakeholders, translating data needs into actionable insights, and supporting enterprise reporting platforms.</p><p>Key Responsibilities</p><ul><li>Work directly with stakeholders to gather and document reporting and analytics requirements and provide ongoing user support</li><li>Design, develop, and deliver operational and analytical reports, dashboards, visualizations, and data extracts using Power BI and related query tools</li><li>Reengineer existing Power BI and SSRS reports to source data from Azure Data Lake, Synapse Analytics, and Azure SQL Managed Instance</li><li>Analyze existing ETL logic and data sources, including SQL Server databases and SSAS cubes, to understand and implement required data transformations</li><li>Monitor and optimize report performance by tuning DAX queries, Power Query, data models, visual components, and caching strategies</li><li>Leverage Azure data services such as Azure Data Lake, Synapse Analytics, Azure SQL, and Analysis Services to deliver efficient and scalable reporting solutions</li><li>Collaborate with business analysts, data modelers, data architects, and data engineers to support data model design and data transformations</li><li>Design and implement processes to ensure data accuracy, consistency, and quality across reports and analytics</li><li>Support Power BI administration, including workspace management, access controls, apps, gateways, cloud data source connections, and usage monitoring</li><li>Ensure reporting solutions align with established data governance policies and procedures</li><li>Incorporate AI and ML capabilities, including Power BI Copilot, to enhance analytics and reporting workflows</li><li>Assist the Help Desk with incident and problem management related to reporting and analytics</li><li>Support end user training and adoption of reporting tools</li><li>Actively participate in Agile DevOps processes, including Program Increment planning</li><li>Maintain continuous learning to stay current with evolving BI and cloud technologies</li></ul>
<p>As a Data Engineer at Robert Half, you will be the backbone of our data-driven decision-making process. You aren't just "moving data"; you are architecting the flow of information that powers our localized market analytics and global recruitment engines. In the DC market, this often involves handling high-compliance data environments and integrating cutting-edge AI frameworks into traditional ETL workflows.</p>
<p>Robert Half is seeking an experienced Data Architect to design and lead scalable, secure, and high-performing enterprise data solutions. This role will focus on building next-generation cloud data platforms, driving adoption of modern analytics technologies, and ensuring alignment with governance and security standards.</p><p><br></p><p>You’ll serve as a hands-on technical leader, partnering closely with engineering, analytics, and business teams to architect data platforms that enable advanced analytics and AI/ML initiatives. This position blends deep technical expertise with strategic thinking to help unlock the value of data across the organization.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li>Design and implement end-to-end data architecture for big data and advanced analytics platforms.</li><li>Architect and build Delta Lake–based lakehouse environments from the ground up, including DLT pipelines, PySpark jobs, workflows, Unity Catalog, and Medallion architecture.</li><li>Develop scalable data models that meet performance, security, and governance requirements.</li><li>Configure and optimize clusters, notebooks, and workflows to support ETL/ELT pipelines.</li><li>Integrate cloud data platforms with supporting services such as data storage, orchestration, secrets management, and analytics tools.</li><li>Establish and enforce best practices for data governance, security, and cost optimization.</li><li>Collaborate with data engineers, analysts, and stakeholders to translate business requirements into technical solutions.</li><li>Provide technical leadership and mentorship to team members.</li><li>Monitor, troubleshoot, and optimize data pipelines to ensure reliability and efficiency.</li><li>Ensure compliance with organizational and regulatory standards related to data privacy and security.</li><li>Create and maintain documentation for architecture, processes, and governance standards.</li></ul>
