<p>We are looking for a Data Engineer/Analyst to join a B2B technology team in San Francisco, California. This role focuses on turning complex business questions into clear reporting, actionable metrics, and effective dashboard solutions that support multiple teams. The ideal candidate is comfortable working with large datasets, building scalable Tableau reporting, and querying data directly in Databricks. This opportunity is well suited for someone who can balance a steady flow of requests while clearly communicating insights to cross-functional stakeholders.</p><p><br></p><p>This is a 3-6 month contract opportunity. </p><p><br></p><p><br></p><p>Responsibilities:</p><p>• Oversee and prioritize a continuous pipeline of analytics requests coming from different business groups to ensure timely delivery of insights.</p><p>• Investigate reporting issues, resolve dashboard errors, and create new Tableau dashboards designed for long-term scalability and usability.</p><p>• Convert loosely defined business needs into measurable KPIs, structured analysis, and intuitive data visualizations.</p><p>• Write and refine SQL queries against the Databricks data lake to retrieve accurate data for reporting and analysis.</p><p>• Prepare large datasets by extracting, transforming, merging, and summarizing information from multiple sources.</p><p>• Improve query efficiency and enhance data structures to support faster, more reliable dashboard performance.</p><p>• Develop reporting focused on operational metrics such as performance trends, transfer activity, and response or resolution measurements.</p><p>• Design visual outputs such as trend analyses, comparison views, and region-based reporting to help stakeholders interpret results quickly.</p><p>• Present dashboards to partners and explain the methodology, assumptions, and logic behind the analysis in a clear manner.</p>
We are looking for a Data Analyst to support a luxury retail organization in Corte Madera, California. This Long-term Contract opportunity is ideal for someone who enjoys bringing order to complex information, partnering with creative and marketing stakeholders, and improving how data moves across teams. The role calls for strong analytical skills, comfort working across several platforms, and the ability to prepare accurate, usable data for publishing and downstream business needs.<br><br>Responsibilities:<br>• Partner with creative and marketing teams to fulfill daily data requests and ensure information is ready for active business use.<br>• Organize, clean, and standardize inconsistent datasets gathered from multiple teams and systems to improve accuracy and usability.<br>• Prepare and format files for downstream partners, making sure data structures align with workflow and publishing requirements.<br>• Work across tools such as Oracle, Adobe Experience Manager, and Airtable to maintain data continuity between platforms.<br>• Translate information between teams using different systems and file formats so assets and records remain usable throughout the process.<br>• Support the movement and coordination of InDesign-related files and associated data between cross-functional teams.<br>• Investigate and resolve metadata or tagging issues that affect file organization, discoverability, or handoff quality.<br>• Guide team members on approved data handling practices to promote consistency and reduce operational confusion.<br>• Assist senior colleagues with documentation, shadowing, and knowledge-sharing activities to strengthen team capability over time.
<p>Our client is seeking a Data Scientist II – Generative AI to join a cutting-edge team focused on building scalable, production-ready AI solutions that transform business workflows and deliver measurable impact across global operations. This role is ideal for professionals passionate about leveraging Generative AI technologies, creating intelligent agents, and driving innovation at scale.</p><p><br></p><p>You will design and implement GenAI-powered agents that streamline internal processes, enhance productivity, and support business development initiatives. Responsibilities include developing robust prompt engineering frameworks, building RAG pipelines, and converting prototypes into production-ready solutions. You’ll collaborate closely with engineering and business teams to ensure solutions meet diverse client needs and are optimized for global deployment.</p><p><br></p><p>Key projects include extending the company’s GPT platform, creating AI agents that improve efficiencies for RFP development, onboarding materials, and SOW requirements. Success in this role means quickly ramping up on backlog projects, delivering high-priority initiatives, and staying ahead of emerging GenAI frameworks to continuously advance internal AI capabilities.</p>