<p>We are looking for an experienced Data Analyst to join our team on a long-term contract basis for a global finance firm. This role is fully remote. This role requires someone with strong attention to detail who excels in data reconciliation, fraud investigation, and analytics. You will play a key role in analyzing data for accuracy and identifying potential discrepancies or fraudulent activities.</p><p><br></p><p><strong><u>Responsibilities:</u></strong></p><p>• Conduct regular account reconciliations to ensure data consistency and accuracy.</p><p>• Investigate suspected fraudulent activities using advanced analytics tools.</p><p>• Perform in-depth data analysis to identify trends and anomalies.</p><p>• Utilize VLOOKUP and other Excel functions to organize and interpret complex datasets.</p><p>• Collaborate with cross-functional teams to address data discrepancies and improve processes.</p><p>• Develop and implement anti-fraud strategies based on identified risks.</p><p>• Maintain detailed documentation of findings and reconciliation processes.</p><p>• Provide actionable insights to support decision-making and enhance operational efficiency.</p><p>• Ensure compliance with relevant regulations and standards during data analysis and investigations.</p>
<p><strong>Data Engineer (Hybrid, Los Angeles)</strong></p><p><strong>Location:</strong> Los Angeles, California</p><p><strong>Compensation:</strong> $140,000 - $175,000 per year</p><p><strong>Work Environment:</strong> Hybrid, with onsite requirements</p><p>Are you passionate about crafting highly-scalable and performant data systems? Do you have expertise in Azure Databricks, Spark SQL, and real-time data pipelines? We are searching for a talented and motivated <strong>Data Engineer</strong> to join our team in Los Angeles. You'll work in a hybrid environment that combines onsite collaboration with the flexibility of remote work.</p><p><strong>Key Responsibilities:</strong></p><ul><li>Design, develop, and implement data pipelines and ETL workflows using cutting-edge Azure technologies (e.g., Databricks, Synapse Analytics, Synapse Pipelines).</li><li>Manage and optimize big data processes, ensuring scalability, efficiency, and data accuracy.</li><li>Build and work with real-time data pipelines leveraging technologies such as Kafka, Event Hubs, and Spark Streaming.</li><li>Apply advanced skills in Python and Spark SQL to build data solutions for analytics and machine learning.</li><li>Collaborate with business analysts and stakeholders to implement impactful dashboards using Power BI.</li><li>Architect and support the seamless integration of diverse data sources into a central platform for analytics, reporting, and model serving via ML Flow.</li></ul><p><br></p>
<p>Data Manager</p><p> Downtown Los Angeles (On-Site)</p><p> Compensation: Up to $160,000</p><p><br></p><p>This is a high-impact leadership role responsible for transforming how data is defined, managed, and leveraged across the business.</p><p><br></p><p>As Data Manager, you will own the enterprise data roadmap and serve as a strategic partner to leadership across e-commerce, supply chain, retail, customer insights, product development, and buying/planning.</p><p>You will play a critical role in:</p><ul><li>Establishing a single source of truth across departments</li><li>Improving data integrity and governance</li><li>Migrating the organization away from spreadsheet-heavy workflows</li><li>Building scalable systems and infrastructure to deliver faster, more reliable insights</li><li>Elevating analytics maturity across all functional teams</li></ul><p>This role combines hands-on technical execution with strategic leadership and cross-functional influence.</p><p><br></p><p>What You’ll Do</p><p>B<strong>usiness Partnership & Insights</strong></p><ul><li>Collaborate with stakeholders across e-commerce, supply chain, retail, customer insights, and merchandising</li><li>Translate ambiguous business questions into structured data problems</li><li>Deliver descriptive, predictive, and prescriptive insights that drive measurable business impact</li><li>Present findings through clear data storytelling that influences decision-making</li></ul><p><strong>Data Strategy & Infrastructure</strong></p><ul><li>Build and scale systems that ensure high product data integrity</li><li>Reduce reliance on spreadsheets by implementing more powerful, sustainable solutions</li><li>Leverage modern data platforms such as BigQuery, Looker, and NetSuite Analytics Warehouse</li><li>Define and enforce governance, master data management, and reporting standards</li></ul><p><strong>Execution & Leadership</strong></p><ul><li>Develop and execute a forward-looking data roadmap</li><li>Identify structural improvements to accelerate insight delivery</li><li>Increase speed and quality of execution across data initiatives</li><li>Raise analytics capability and technical acumen across teams</li></ul><p>If interested, apply now and direct message Reid Gormly on LinkedIN.</p>