<p>Benefits:</p><ul><li>medical</li><li>dental</li><li>vision</li><li>life insurance</li><li>401k</li><li>paid time off</li></ul><p>Responsibilities</p><ul><li>Collect, validate, and maintain accurate data across multiple systems and reports.</li><li>Enter, update, and reconcile data within SAP to ensure consistency and data integrity.</li><li>Develop, maintain, and enhance spreadsheets, dashboards, and reports using Microsoft Excel (including formulas, pivot tables, lookups, and data analysis tools).</li><li>Analyze large datasets to identify trends, discrepancies, and actionable insights.</li><li>Support operational and financial teams with recurring and ad hoc data requests.</li><li>Perform routine data quality checks and audits to ensure accuracy and completeness.</li><li>Document data processes, definitions, and reporting standards.</li></ul><p><br></p>
<p>Benefits:</p><ul><li>medical</li><li>dental</li><li>vision</li><li>life insurance</li><li>401k</li><li>paid time off</li></ul><p><br></p><p>Responsibilities</p><ul><li>Collect, validate, and maintain accurate data across multiple systems and reports.</li><li>Enter, update, and reconcile data within SAP to ensure consistency and data integrity.</li><li>Develop, maintain, and enhance spreadsheets, dashboards, and reports using Microsoft Excel (including formulas, pivot tables, lookups, and data analysis tools).</li><li>Analyze large datasets to identify trends, discrepancies, and actionable insights.</li><li>Support operational and financial teams with recurring and ad hoc data requests.</li><li>Perform routine data quality checks and audits to ensure accuracy and completeness.</li><li>Document data processes, definitions, and reporting standards.</li></ul>
<p><strong>Data Analyst - Operations & Engineering Support (Entry Level) </strong></p><p><br></p><p>Overview: This isn't a traditional "pull reports and make charts" analyst role.</p><p><br></p><p>As an entry level <strong>Data Analyst</strong>, you’ll operate at the intersection of data engineering, technical support, and operations. You’ll help troubleshoot data issues, support pipeline reliability, and fulfill ad-hoc data requests while gaining hands-on exposure to the full data ecosystem. This is a fast-paced, high-impact role where adaptability, curiosity, and problem-solving are key. You don’t need to know everything on day one—we’re looking for someone proactive, resourceful, and eager to learn. The ideal candidate takes initiative, explores problems independently, and uses available tools (including AI) to find solutions efficiently.</p><p><br></p><p><strong>Key Responsibilities</strong></p><p>Data Issue Triage: Investigate and resolve L2/L3 data-related issues by analyzing datasets, writing queries, and clearly documenting findings for internal teams.</p><p>Pipeline Monitoring & Support: Develop an understanding of data pipelines, identify potential points of failure, and proactively flag issues.</p><p>Data Quality & Validation: Perform quality checks on datasets (both spatial and tabular) to ensure accuracy before distribution.</p><p>Data Integration: Assist with onboarding new data sources into ETL processes, including setup, testing, and validation.</p><p>AI-Driven Problem Solving: Leverage AI tools to accelerate troubleshooting, learn new systems, and improve efficiency—while applying sound judgment.</p><p><br></p><p><strong>Required Skills & Technologies </strong></p><p>SQL: Comfortable writing queries using joins, filters, and aggregations to explore and analyze data.</p><p>Programming Exposure: Familiarity with Python, R, or similar scripting languages; not afraid to work with code.</p><p>Ticketing Systems: Experience with tools like Jira, Asana, or similar for managing and tracking work.</p><p>Version Control: Basic understanding of Git (commits, branches, pull requests). Experience & Mindset 0–2 years of experience in data analytics, technical support, or a related field. Naturally curious and resourceful; able to research, test, and problem-solve independently.</p><p>Strong attention to detail with a focus on data accuracy. Comfortable working in a dynamic environment with shifting priorities. Clear and concise communicator, especially in written formats (tickets, documentation, messaging tools).</p><p>Interested in growing toward a data engineering career path.</p>
We are looking for an experienced Data Analyst to join our team on a long-term contract basis. In this role, you will play a vital part in transforming business requirements into actionable insights by utilizing advanced data analysis and reporting techniques. Based in Mequon, Wisconsin, this position offers an excellent opportunity to design and deliver custom reporting solutions that empower decision-making across the organization.<br><br>Responsibilities:<br>• Develop and implement reporting solutions using SQL Server Reporting Services (SSRS) and other technologies based on detailed requirement analysis.<br>• Conduct rigorous testing of reports to ensure accuracy, performance, and alignment with business needs.<br>• Deploy reporting solutions to both development and production environments while adhering to best practices.<br>• Create dynamic data visualizations that simplify complex information for decision-makers.<br>• Collaborate proactively with stakeholders to understand their needs and develop tailored reporting solutions.<br>• Ensure compliance with security policies for data and reporting systems.<br>• Design and maintain clear documentation for data points and reporting definitions.<br>• Establish subscriptions and manage user permissions for reports to ensure accessibility.<br>• Validate reports against trusted data sources to maintain consistency and reliability.<br>• Translate business needs into measurable insights using graphs, charts, and actionable data points.
We are looking for a detail-oriented Data Analyst with expertise in Microsoft Excel to join our team in Tampa, Florida. In this role, you will work with raw data, transforming it into meaningful insights and actionable reports to support organizational initiatives. The ideal candidate thrives in analyzing complex datasets and has a strong understanding of data integrity, visualization, and reporting standards.<br><br>Responsibilities:<br>• Organize, analyze, and interpret raw data using advanced Excel functionalities, including formulas, macros, and pivot tables.<br>• Consolidate and integrate data from multiple sources to build cohesive reports and dashboards.<br>• Create and deliver detailed presentations and reports tailored to various stakeholders, including executives and board members.<br>• Ensure data accuracy and consistency through regular audits and quality checks.<br>• Collaborate with team members to enhance data collection processes and implement best practices.<br>• Develop and maintain centralized data repositories for streamlined reporting.<br>• Identify trends and patterns in data to provide actionable insights for organizational improvement.<br>• Train staff on data management tools and techniques to promote consistent and efficient data handling.<br>• Monitor performance indicators to detect discrepancies and recommend corrective actions.<br>• Implement protocols to guarantee data security and compliance with organizational standards.
<p>Robert Half is seeking an <strong>DMSi Agility Consultant</strong> with deep expertise in DMSI Agility to support a critical data and systems optimization initiative. This individual will play a key role in evaluating the current environment and rebuilding core product data structures. This position is a 6-month contract with the potential to extend and is Hybrid in Puyallup, WA. Apply today!</p><p><br></p><p><strong>Location:</strong> Hybrid, onsite a few days in Puyallup, WA.</p><p><strong>Schedule:</strong> Monday – Friday 7:30A-4:30PM PST </p><p><strong>Duration:</strong> 6–12-month contract with potential to extend</p><p><br></p><p><strong>Key Responsibilities</strong></p><ul><li>Assess current-state systems and processes with a fresh, objective perspective </li><li>Lead the rebuild and standardization of the product catalog </li><li>Perform comprehensive master data cleanup and governance improvements </li><li>Align ERP data structures with an already implemented ecommerce platform </li><li>Organize and optimize Bills of Materials (BOMs), SKUs, and related product hierarchies </li><li>Develop and document standard operating procedures (SOPs) tied to product and production workflows </li><li>Collaborate cross-functionally to ensure data integrity across systems </li><li>Drive project progress from current state to future state, ensuring alignment with business goals </li></ul>
<p><strong>Jennifer Fukumae</strong> with <strong>Robert Half Financial Services</strong> is partnering with an established East Bay RIA managing <strong>$4B+ in AUM</strong> to hire an <strong>Operations Manager</strong> to lead a team of talented Client Service Associates. This is an excellent opportunity for an experienced <strong>Operations Manager</strong> or <strong>Lead CSA</strong> with prior management experience.</p><p> </p><p><strong>If you are interested in learning more about the firm and team, please send Jennifer Fukumae a message on LinkedIn to schedule a conversation!</strong></p><p><br></p><p><strong>Responsibilities</strong></p><ul><li>Manage day-to-day operations supporting advisors and clients.</li><li>Streamline, document, and maintain workflows for client service, onboarding, and reporting.</li><li>Identify and implement process improvements to support firm growth.</li><li>Oversee client onboarding, account administration, and transfers.</li><li>Ensure compliance with regulatory and internal standards.</li><li>Foster a culture of accuracy, efficiency, and proactive problem-solving.</li><li>Train, mentor, and hold the operations team accountable.</li><li>Oversee CRM, portfolio reporting, and workflow automation platforms.</li><li>Improve system integration, automation, and implement AI tools where applicable.</li></ul><p><br></p>