<p>We are looking for a highly skilled Tax Manager to lead the development and implementation of strategic tax technology solutions. This role involves collaborating with cross-functional teams to enhance tax processes, ensure compliance, and optimize the use of advanced tools in managing tax operations. The ideal candidate will have a strong background in tax technology and a proven track record in driving efficiency and innovation.</p><p><br></p><p>Responsibilities:</p><p>• Design and execute a comprehensive tax technology strategy to streamline compliance, reporting, data analytics, and process management.</p><p>• Serve as the primary tax representative on cross-functional project teams, ensuring tax requirements are met during technology implementations.</p><p>• Collaborate with IT and other departments to define functional requirements, review technical designs, and oversee application testing, deployment, and maintenance.</p><p>• Lead tax technology projects using recognized project management methodologies to ensure successful outcomes.</p><p>• Establish and maintain robust internal controls for all tax technology applications, ensuring compliance with Sarbanes-Oxley Section 404.</p><p>• Manage user access, perform system updates, and provide technical support for tax technology applications.</p><p>• Stay informed about emerging tax technology trends and refine strategies to achieve optimal performance.</p><p>• Develop detailed process documentation, deliver end-user training, and create policies for efficient technology use.</p><p>• Oversee relationships with vendors and consultants to ensure effective implementation and support of tax applications.</p><p>• Provide training to tax team members on software tools and process enhancements. </p><p><br></p>
<p>Robert Half is currently partnering with a well-established company in San Diego that is looking for a Senior Data Engineer, experienced in BigQuery, DBT (Data Build Tool), and GCP. This position is full time (permanent placement) that is 100% onsite in San Diego. We are looking for a Principal Data Engineer that is passionate about optimizing systems with advanced techniques in partitioning, indexing, and Google Sequences for efficient data processing. Must have experience in DBT!</p><p>Responsibilities:</p><ul><li>Design and implement scalable, high-performance data solutions on GCP.</li><li>Develop data pipelines, data warehouses, and data lakes using GCP services (BigQuery, and DBT, etc.).</li><li>Build and maintain ETL/ELT pipelines to ingest, transform, and load data from various sources.</li><li>Ensure data quality, integrity, and security throughout the data lifecycle.</li><li>Design, develop, and implement a new version of a big data tool tailored to client requirements.</li><li>Leverage advanced expertise in DBT (Data Build Tool) and Google BigQuery to model and transform data pipelines.</li><li>Optimize systems with advanced techniques in partitioning, indexing, and Google Sequences for efficient data processing.</li><li>Collaborate cross-functionally with product and technical teams to align project deliverables with client goals.</li><li>Monitor, debug, and refine the performance of the big data tool throughout the development lifecycle.</li></ul><p><strong>Minimum Qualifications:</strong></p><ul><li>5+ years of experience in a data engineering role in GCP .</li><li>Proven experience in designing, building, and deploying data solutions on GCP.</li><li>Strong expertise in SQL, data warehouse design, and data pipeline development.</li><li>Understanding of cloud architecture principles and best practices.</li><li>Proven experience with DBT, BigQuery, and other big data tools.</li><li>Advanced knowledge of partitioning, indexing, and Google Sequences strategies.</li><li>Strong problem-solving skills with the ability to manage and troubleshoot complex systems.</li><li>Excellent written and verbal communication skills, including the ability to explain technical concepts to non-technical stakeholders.</li><li>Experience with Looker or other data visualization tools.</li></ul>
We are looking for an experienced Senior Financial Analyst to join our team in La Jolla, California. In this role, you will play a critical part in providing insightful financial analysis and supporting key decision-making processes across the organization. The ideal candidate will possess strong communication skills, a strategic mindset, and a passion for driving data-driven decisions.<br><br>Responsibilities:<br>• Prepare and deliver comprehensive financial reports, including variance analyses, to senior management on a monthly and quarterly basis.<br>• Oversee the development and maintenance of budget and forecast reports to ensure accuracy and relevance for strategic planning.<br>• Conduct in-depth performance reviews, identify key drivers, and provide actionable recommendations to enhance organizational performance.<br>• Manage shared expense allocations and ensure accurate tracking throughout monthly reporting cycles.<br>• Develop detailed cash flow forecasts and effectively communicate updates to treasury and senior leadership.<br>• Support the preparation of investment analyses and contribute to quarterly financial assessments.<br>• Collaborate with accounting, treasury, and valuation teams to streamline processes and improve financial operations.<br>• Identify opportunities to enhance management reporting tools and implement impactful changes to support business growth.
<p>SUMMARY OF POSITION: </p><p>The Senior Data Analyst plays a pivotal role in transforming data into actionable insights that drive business decisions and operational excellence across the organization. As a senior member of the Data Team—part of the IT Division—the analyst will lead advanced data modeling, analytics, and visualization efforts, while mentoring peers and ensuring adherence to data governance and quality standards.</p><p><br></p><p>This position partners closely with stakeholders across Finance, Operations, HR, and Project Management to deliver trusted data solutions from our Azure Databricks Lakehouse and connected systems (Deltek Vantagepoint, Dynamics 365, Workday, and others). The ideal candidate is highly analytical, self-driven, and passionate about leveraging data to enable smarter business outcomes.</p><p><br></p><p>ESSENTIAL JOB FUNCTIONS:</p><p>• Lead advanced analytical projects using data sourced from the company’s Azure Databricks lakehouse, ensuring outputs align with strategic business objectives.</p><p>• Design and develop Power BI dashboards leveraging Microsoft Fabric capacity and robust data models for scalability, governance, and performance.</p><p>• Build and maintain data models and transformations in Databricks SQL using Delta tables, Unity Catalog, and Lakehouse architecture best practices.</p><p>• Collaborate with data engineers to enhance ingestion pipelines using Fivetran, Workato, REST APIs, and other connectors.</p><p>• Perform exploratory and diagnostic analyses using SQL, Python (pandas, numpy), and Power BI to uncover business trends, inefficiencies, and improvement opportunities.</p><p>• Ensure data quality and lineage through established data governance frameworks, including metadata documentation, business glossary maintenance, and data issue management.</p><p>• Develop stored procedures and SQL logic to support operational systems such as Deltek Vantagepoint and related financial integrations.</p><p>• Collaborate with business stewards and system owners to validate data accuracy and drive consistency across departments.</p><p>• Mentor junior analysts and help define Power BI development standards, DAX best practices, and model optimization techniques.</p><p>• Communicate insights effectively through visual storytelling, executive dashboards, and data narratives tailored for non-technical audiences.</p><p><br></p><p>EDUCATION & EXPERIENCE</p><p>• Bachelor’s degree in Computer Science, Data Science, Information Systems, Business Analytics, or a related field.</p><p>• Minimum 5–7 years of professional experience in data analytics, BI development, or related technical roles.</p><p>• Experience working with cloud-based data platforms (Azure, Databricks, or Snowflake).</p><p>• Microsoft Certification PL-300 (Power BI Data Analyst) or DP-900 / Databricks Certified Data Analyst preferred.</p>
