<p>Robert Half is looking for an experienced Business Analyst to join our client's team in Ankeny, Iowa. In this role, you will analyze business processes, provide insights through financial and manufacturing analytics, and support decision-making with data-driven recommendations. This position is ideal for someone who is detail oriented and has strong expertise in accounting systems, financial analysis, and business intelligence tools.</p><p><br></p><p>Responsibilities:</p><p>• Evaluate business processes and identify opportunities for improvement within manufacturing and financial operations.</p><p>• Analyze financial data, including debit and credit entries, to ensure accuracy and compliance with accounting standards.</p><p>• Utilize Power BI to create dashboards and visualizations that support strategic decision-making.</p><p>• Collaborate with cross-functional teams to gather requirements and implement solutions that align with business objectives.</p><p>• Work with SAP systems to streamline operations and enhance data reporting capabilities.</p><p>• Conduct thorough financial analysis to support budgeting, forecasting, and strategic planning.</p><p>• Develop and document business requirements for new initiatives and system enhancements.</p><p>• Provide actionable insights to stakeholders by interpreting complex data sets.</p><p>• Monitor and report on key performance indicators to track progress and identify areas for improvement.</p><p>• Support manufacturing analytics to optimize production processes and resource allocation.</p>
We are looking for an experienced AI Business Analyst/Consultant to join our team in West Des Moines, Iowa. In this long-term contract position, you will play a key role in leveraging artificial intelligence to drive business insights and improve operational efficiencies. If you have a strong background in business analysis, AI technologies, and the ability to translate complex concepts into actionable strategies, we encourage you to apply.<br><br>Responsibilities:<br>• Analyze business processes and identify opportunities to implement AI-driven solutions.<br>• Collaborate with cross-functional teams to gather requirements and define project scope.<br>• Develop comprehensive documentation for AI initiatives, ensuring clarity and alignment with business goals.<br>• Utilize tools like Microsoft Power BI to create data visualizations and support decision-making.<br>• Conduct research on emerging AI technologies and recommend their application to business challenges.<br>• Work within Agile methodologies to manage project timelines and deliverables.<br>• Provide expertise in applied artificial intelligence to improve operational workflows.<br>• Evaluate the effectiveness of implemented AI solutions and suggest improvements.<br>• Partner with stakeholders to ensure alignment between AI capabilities and organizational needs.<br>• Use platforms like AWS to deploy and manage AI-driven applications.
We are looking for a skilled Data Analytics Engineer with deep expertise in Power BI to join our team in Ankeny, Iowa. In this role, you will design, optimize, and manage semantic data models while ensuring the seamless performance of business intelligence tools. Your contributions will help drive data-driven decision-making across the organization.<br><br>Responsibilities:<br>• Design and implement semantic data models, including dimensional modeling and star schemas, to support business intelligence needs.<br>• Develop and optimize Power BI reports and dashboards, ensuring high performance and efficient query execution.<br>• Utilize Power Query (M) to transform and manipulate data for reporting purposes.<br>• Configure and enforce row-level security within Power BI to safeguard sensitive data.<br>• Conduct performance tuning for Power BI, including query plan optimization and refresh strategies.<br>• Collaborate with stakeholders to understand analytical requirements and translate them into actionable insights.<br>• Leverage tools such as Tabular Editor and deployment pipelines (Azure DevOps, GitHub) to streamline BI asset management.<br>• Work with cloud-based data platforms, including Databricks, Snowflake, or BigQuery, to support lakehouse architectures.<br>• Maintain adherence to enterprise BI governance practices and ensure scalable solutions for large datasets.<br>• Implement CI/CD patterns to manage semantic models and facilitate environment promotions.