<p>Robert Half is seeking a Contract Data Analyst to join our client's team. As a Data Analyst, you will be responsible for collecting, processing, and analyzing data to provide actionable insights that support business decisions. This contract position offers an exciting opportunity to work with a dynamic team and help drive data-driven strategies for a respected organization.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ol><li><strong>Data Collection and Analysis:</strong> Collect, clean, and analyze data from various sources to identify trends, patterns, and insights that inform business decisions.</li><li><strong>Reporting:</strong> Create and maintain dashboards, reports, and visualizations that communicate findings to stakeholders in a clear and concise manner.</li><li><strong>Data Validation:</strong> Ensure data integrity by conducting regular audits, validation, and quality checks.</li><li><strong>Collaboration:</strong> Work closely with cross-functional teams to understand data requirements and provide insights that support strategic goals.</li><li><strong>Data Modeling:</strong> Develop and maintain data models, forecasts, and simulations to support business planning and operations.</li><li><strong>Trend Analysis:</strong> Monitor key performance indicators (KPIs) and analyze data trends to identify opportunities for improvement.</li><li><strong>Documentation:</strong> Document data processes, methodologies, and findings to ensure transparency and reproducibility of results.</li><li><strong>Ad Hoc Analysis:</strong> Provide ad hoc analysis and reporting support as needed to assist in decision-making processes.</li></ol><p><br></p>
<p>Robert Half is seeking a skilled <strong>Cybersecurity Analyst</strong> to join our client’s IT security team. This role is responsible for monitoring, analyzing, and responding to security threats across the organization’s network, systems, and applications. The ideal candidate has hands-on experience with security tools, incident response, vulnerability management, and risk mitigation in an enterprise environment.</p><p>This is an excellent opportunity to play a critical role in protecting business-critical systems and sensitive data.</p><p><br></p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li><strong>Security Monitoring:</strong> Monitor security systems including SIEM tools, firewalls, IDS/IPS, and endpoint detection platforms to identify potential threats.</li><li><strong>Incident Response:</strong> Investigate and respond to security incidents, perform root cause analysis, and document findings.</li><li><strong>Vulnerability Management:</strong> Conduct vulnerability scans, risk assessments, and coordinate remediation efforts.</li><li><strong>Threat Analysis:</strong> Analyze emerging threats and recommend proactive security measures.</li><li><strong>Access & Identity Management:</strong> Review and manage user access controls in accordance with security policies.</li><li><strong>Policy & Compliance:</strong> Assist in maintaining security policies and ensuring compliance with industry standards (e.g., HIPAA, PCI-DSS, SOC 2, NIST).</li><li><strong>Security Audits:</strong> Support internal and external security audits.</li><li><strong>Security Awareness:</strong> Provide guidance and training to end-users on security best practices.</li><li><strong>Documentation:</strong> Maintain accurate incident reports, risk assessments, and remediation documentation.</li></ul><p><br></p>
<p>We are looking for an experienced AI & Analytics Platform Manager to spearhead the integration of artificial intelligence and groundbreaking technologies. The AI & Analytics Platform Manager leads our client’s integration of artificial intelligence and emerging technologies to enhance efficiency, improve service delivery, and drive innovation. This role defines and carries out AI strategy, identifying opportunities for machine learning, natural language processing, and automation—especially in legal technology. Partnering with senior leadership and cross-functional teams, the Manager evaluates, implements, and optimizes AI-enabled solutions supporting operations and client outcomes. </p><p><br></p><p><strong>Strategic Planning and Execution</strong></p><ul><li>Develop and lead AI strategy aligned with business goals.</li><li>Identify opportunities to use AI and automation to improve workflows and client service.</li><li>Evaluate emerging technologies and plan for long-term growth.</li><li>Work with leadership to create governance for responsible AI use and data privacy.</li><li>Advance analytics and reporting initiatives for the organization.</li></ul><p><strong>Team Leadership and Development</strong></p><ul><li>Align AI initiatives with business needs and current systems.</li><li>Promote adoption of AI capabilities and professional development.</li><li>Support resource allocation for high-impact AI projects.</li></ul><p><strong>Operational Management</strong></p><ul><li>Oversee AI tools and platforms from development to deployment.</li><li>Manage vendor relationships and partnerships for scalable solutions.</li><li>Monitor system performance, resolve issues, and ensure compliance with company standards.</li></ul><p><strong>Continuous Improvement</strong></p><ul><li>Lead modernization of operations through AI and emerging tech.</li><li>Stay current on industry trends and regulatory developments.</li><li>Collect stakeholder feedback to refine AI solutions.</li><li>Foster a culture of innovation and iterative improvement.</li></ul>
<p>Robert Half is seeking a <strong>Contract Data Engineer</strong> to support our client’s data and analytics initiatives. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that enable efficient data ingestion, transformation, and delivery. The ideal candidate has strong experience working with modern data platforms, cloud environments, and large-scale datasets.</p><p><br></p><p><strong>Key Responsibilities:</strong></p><ul><li><strong>Data Pipeline Development:</strong> Design, build, and maintain scalable ETL / ELT pipelines to ingest, transform, and deliver data from multiple sources.</li><li><strong>Data Architecture:</strong> Develop and optimize data models, schemas, and warehouse structures to support analytics, reporting, and business intelligence needs.</li><li><strong>Cloud Data Platforms:</strong> Work within cloud environments such as <strong>AWS, Azure, or GCP</strong> to deploy and manage data solutions.</li><li><strong>Data Warehousing:</strong> Design and support enterprise data warehouses using platforms such as <strong>Snowflake, Redshift, BigQuery, or Azure Synapse</strong>.</li><li><strong>Big Data Processing:</strong> Develop solutions using big data technologies such as <strong>Spark, Databricks, Kafka, and Hadoop</strong> when required.</li><li><strong>Performance Optimization:</strong> Tune queries, pipelines, and storage solutions for performance, scalability, and cost efficiency.</li><li><strong>Data Quality & Reliability:</strong> Implement monitoring, validation, and alerting processes to ensure data accuracy, integrity, and availability.</li><li><strong>Collaboration:</strong> Work closely with Data Analysts, Data Scientists, Software Engineers, and business stakeholders to understand requirements and deliver data solutions.</li><li><strong>Documentation:</strong> Maintain detailed documentation for pipelines, data flows, and system architecture</li></ul><p><br></p>