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3 results for Data in 91706
- Diamond Bar, CA
- onsite
- Temporary / Contract
- 71.25 - 82.5 USD / Hourly
- We are looking for a Data Analyst to support reporting, audience targeting, and data-driven decision-making for a manufacturing organization in Diamond Bar, California. This Long-term Contract position partners closely with business stakeholders to translate operational goals into meaningful reports, reliable datasets, and actionable audience lists. The ideal candidate brings strong analytical skills, hands-on experience with SQL and Excel, and the ability to communicate clearly while maintaining high standards for data accuracy.<br><br>Responsibilities:<br>• Partner with business teams to gather reporting needs, clarify audience outreach objectives, and turn those needs into practical data solutions.<br>• Develop and refine reports, datasets, and audience lists that help stakeholders measure performance and support business priorities.<br>• Write and troubleshoot SQL queries across multiple tables, using joins and backend reporting techniques to extract accurate information.<br>• Pull, validate, and organize data from platforms such as Salesforce and marketing-related systems to support analysis and campaign targeting.<br>• Perform data validation checks and investigate quality issues to improve confidence in reporting outputs and audience segmentation.<br>• Use advanced Excel functions, including PivotTables and lookup formulas, to analyze trends, reconcile data, and present findings clearly.<br>• Build targeted audience segments and list selections based on defined business rules, data attributes, and outreach requirements.<br>• Communicate proactively with cross-functional partners to provide status updates, resolve issues quickly, and ensure deliverables align with expectations.
- 2026-10-23T00:00:00Z
- Los Angeles, CA
- onsite
- Permanent / Full Time
- 70000 - 90000 USD / Yearly
- <p>We are looking for a Data Scientist to join our clients pricing and analytics team. This role is ideal for someone early in their career who combines strong statistical thinking with an interest in insurance economics, especially in areas such as pricing, reserving, and telematics-driven analysis. You will partner closely with senior pricing and actuarial leaders, working across the full analytical lifecycle from raw data exploration to business-facing recommendations. The position offers broad exposure to how insurance performance is measured, explained, and improved through disciplined modeling and clear communication.</p><p><br></p><p>Responsibilities:</p><p>• Perform end-to-end analytical work that supports insurance rate reviews, including data preparation, trend evaluation, loss development analysis, and documentation used for regulatory support.</p><p>• Develop, test, and refine pricing and telematics models using statistical and machine learning techniques, ensuring results are accurate, explainable, and suitable for business use.</p><p>• Assist with reserving analysis by working with loss triangles, development patterns, and ultimate loss estimates that align actuarial findings with financial reporting.</p><p>• Create and maintain recurring performance dashboards and reporting that track key indicators such as loss ratios, claim frequency, claim severity, and cohort behavior.</p><p>• Investigate unusual shifts in portfolio performance, segment results, or customer retention trends, and translate findings into actionable insights for the broader team.</p><p>• Write organized, reusable code and data workflows that support independent analysis while making it easy for others to review and build on your work.</p><p>• Collaborate with pricing and actuarial stakeholders to gradually take ownership of increasingly complex analyses and modeling assignments as your experience grows.</p><p>• Communicate analytical conclusions clearly in written materials and presentations for audiences that need business impact explained without technical detail.</p>
- 2026-10-19T00:00:00Z
- Commerce, CA
- onsite
- Permanent / Full Time
- 140000 - 160000 USD / Yearly
- <p>Lead Data Engineer</p><p>Salary: Up to $160,000 Location:</p><p>On-Site | South Los Angeles Area</p><p>Employment Type: Full-Time</p><p><br></p><p>Build the Foundation for Enterprise Analytics</p><p><br></p><p>We are seeking a Lead Data Engineer to drive the architecture, modernization, and expansion of a growing enterprise data platform built within the Microsoft Azure ecosystem. This is a highly visible technical leadership role where you'll help shape the future of data across multiple business functions by building scalable, secure, and high-performing data solutions.</p><p><br></p><p>If you're passionate about Databricks, cloud data platforms, and mentoring engineering teams while remaining hands-on with development, this is an opportunity to make a significant impact.</p><p><br></p><p>What You'll Do</p><ul><li>Lead the design, implementation, and optimization of an enterprise Azure Databricks Lakehouse environment utilizing Bronze, Silver, and Gold data layers.</li><li>Architect and execute migrations from SQL Server and legacy platforms into modern cloud-native data solutions.</li><li>Develop and optimize large-scale ETL/ELT pipelines supporting operational reporting, business intelligence, advanced analytics, and data science initiatives.</li><li>Integrate data from multiple enterprise systems, APIs, operational platforms, and third-party sources.</li><li>Establish best practices for data engineering, data modeling, testing, CI/CD, monitoring, governance, and production support.</li><li>Implement and maintain data governance frameworks, security controls, lineage tracking, and access management.</li><li>Lead code reviews, technical design discussions, and engineering standards across the data team.</li><li>Mentor and support data engineers while fostering a culture of technical excellence.</li><li>Partner closely with business stakeholders, analysts, and data scientists to deliver trusted, scalable data products.</li></ul><p>For immediate consideration, apply now and direct message Reid Gormly on LINKEDIN</p>
- 2026-11-04T00:00:00Z