<p>Marketing Analyst</p><p><strong>Location:</strong> Phoenix, AZ</p><p><strong>Job Type:</strong> Contract-to-Hire</p><p><strong>Pay:</strong> $34–$43/hour</p><p><strong>Schedule:</strong> Full-time | Hybrid</p><p><br></p><p>About the Role</p><p>We’re looking for a Marketing Analyst to help a growing Phoenix-area marketing team turn campaign and customer data into actionable insights.</p><p>This role will work across digital marketing, lead generation, customer acquisition, campaign reporting, and executive dashboards. You’ll partner with marketing leaders and channel owners to understand what’s working, what isn’t, and where the team should invest next.</p><p>The ideal candidate enjoys digging into data but can also explain findings clearly to people who don’t live in spreadsheets all day.</p><p>What You’ll Do</p><ul><li>Analyze performance across digital marketing campaigns and channels</li><li>Build recurring marketing dashboards and performance reports</li><li>Track leads, conversions, pipeline, and campaign attribution</li><li>Monitor website and digital campaign performance in GA4</li><li>Analyze customer acquisition costs, conversion rates, and ROI</li><li>Identify trends and opportunities within marketing data</li><li>Partner with paid media, email, content, and digital marketing teams</li><li>Evaluate campaign performance against goals and benchmarks</li><li>Analyze lead quality and movement through the marketing funnel</li><li>Build reports using Excel, Power BI, Tableau, or Looker Studio</li><li>Present findings and recommendations to marketing leadership</li><li>Assist with forecasting and marketing budget analysis</li><li>Improve reporting processes and data accuracy</li></ul><p><br></p><p><br></p>
<p>We are looking for a Data Analyst I to support operational reporting and continuous improvement efforts in Phoenix, AZ. This is a long-term contract position for someone who enjoys examining data, uncovering patterns, and turning findings into practical process enhancements. The role suits a proactive individual who investigates issues thoroughly, works well with cross-functional partners, and brings a thoughtful approach to solving business problems.</p><p><br></p><p>Responsibilities:</p><p>• Review reporting outputs and workflow activity to spot recurring issues, performance patterns, and opportunities to improve efficiency.</p><p>• Examine underlying causes of operational challenges and recommend practical changes that reduce repeat work and support lasting improvement.</p><p>• Analyze ticket and process data to identify bottlenecks, highlight trends, and inform better day-to-day business decisions.</p><p>• Research unfamiliar or complex issues independently and work toward timely, well-supported resolution.</p><p>• Create clear documentation for findings, recommendations, and updated procedures so improvements can be consistently applied.</p><p>• Partner with internal stakeholders to simplify workflows, remove unnecessary steps, and strengthen overall operational effectiveness.</p><p>• Support ongoing refinement of reporting and business processes through structured analysis and follow-through on identified actions.</p>
<p><br></p><p>We are seeking a detail-oriented <strong>Contract Data Analyst</strong> to support a contract data remediation and quality improvement initiative within a Contract Lifecycle Management (CLM) environment.</p><p><br></p><p>This project will focus on reviewing contract records, validating key contract information, correcting data discrepancies, and improving the accuracy of contract repositories used for reporting, compliance, and business operations.</p><p><br></p><p>This is an excellent opportunity for professionals with backgrounds in <strong>contract administration, legal operations, contract management, procurement, paralegal services, or compliance</strong>.</p><p><br></p><p>Responsibilities</p><ul><li>Review commercial contract records within a contract management platform</li><li>Validate contract metadata against executed agreements</li><li>Identify and correct inaccurate or incomplete contract information</li><li>Review key contract terms including:</li><li>Effective dates</li><li>Expiration dates</li><li>Renewal provisions</li><li>Notice periods</li><li>Contracting parties</li><li>Signatures and approvals</li><li>Perform quality assurance reviews and document findings</li><li>Research and resolve contract data discrepancies</li><li>Partner with legal, finance, procurement, operations, and business stakeholders</li><li>Support contract repository cleanup and data governance efforts</li><li>Provide status updates on remediation progress</li></ul>
<p>Our client is seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and cloud-based data solutions that support business intelligence, analytics, and operational reporting initiatives. This role will partner closely with data analysts, software developers, and business stakeholders to ensure the organization's data infrastructure is reliable, secure, and optimized for performance.</p><p>The ideal candidate will have experience working with large datasets, modern cloud platforms, ETL/ELT processes, and data warehousing technologies. This position offers the opportunity to play a key role in developing enterprise-wide data solutions that drive business decision-making.</p><p>Key Responsibilities</p><ul><li>Design, develop, and maintain scalable data pipelines and integration processes.</li><li>Build, optimize, and support enterprise data warehouses and data lakes.</li><li>Develop ETL/ELT workflows to ingest, transform, and load data from various internal and external sources.</li><li>Collaborate with business and technical teams to define data requirements and deliver reliable reporting solutions.</li><li>Monitor and improve data quality, consistency, and governance practices.</li><li>Optimize database performance, query execution, and overall data architecture.</li><li>Implement data security, privacy, and compliance best practices.</li><li>Troubleshoot and resolve data-related issues across multiple systems and platforms.</li><li>Support business intelligence initiatives and provide clean, accessible datasets for reporting and analytics tools.</li><li>Create and maintain technical documentation, data dictionaries, and process documentation.</li></ul><p><br></p>