4 results for Cloud Computing Analyst in Cerritos, CA

HRIS Analyst

Los Angeles, CA
onsite
Permanent
100000 - 125000 USD / Yearly
We are looking for an experienced HRIS Analyst to join our team in Los Angeles, California. This role involves configuring, maintaining, and supporting HR and time management systems, ensuring seamless integration and functionality. The ideal candidate will collaborate closely with business owners and technical teams to deliver innovative solutions that meet organizational needs. Responsibilities: • Partner with business owners and technical teams to gather requirements and create detailed functional documentation. • Conduct gap analyses to identify system needs and provide recommendations for solutions. • Configure, troubleshoot, and maintain HR and workforce management systems, including integrations and customizations. • Provide production support for HR and time management applications, ensuring timely and high-quality responses to customer requests. • Develop and implement functional designs, configurations, and support for HRIS applications with a primary focus on HR and time attendance systems. • Evaluate the application needs of various departments and recommend suitable system solutions. • Design, test, and enhance internal application systems, databases, and operational environments. • Create and configure dashboards and reports using business intelligence tools such as Power BI. • Prepare test data, review code, test applications, and oversee the implementation of system builds.
2026-02-17T00:00:00Z

Data Analyst

Irvine, CA
onsite
Permanent
140000 - 170000 USD / Yearly
We are looking for a skilled Revenue Operations Analyst to oversee the development and optimization of reporting and analytics across Sales, Marketing, and Customer Care teams. This role requires a strategic thinker who can transform data into actionable insights, standardize performance metrics, and enhance operational efficiency. Based in Irvine, California, this position offers the opportunity to lead data-driven initiatives that support organizational growth. Responsibilities:• Create and maintain dashboards and automated reports for Sales, Marketing, and Customer Care teams using Salesforce, Excel, and visualization tools.• Define and implement standardized key performance indicators (KPIs) to measure and optimize the revenue cycle from lead generation to customer satisfaction.• Conduct detailed analyses of sales funnel performance, conversion rates, and customer care trends to identify actionable insights.• Act as a Salesforce expert, ensuring data accuracy, optimizing workflows, and developing advanced reports.• Manage and mentor a team of two analysts, fostering their attention to detail and maintaining high-quality standards.• Write and maintain queries to extract, transform, and analyze data from Salesforce and associated databases.• Document data definitions, reporting logic, and business rules to ensure consistency and institutional knowledge.• Identify inefficiencies in revenue processes and propose data-driven solutions for improvement.• Provide historical data insights and predictive analysis to support campaign planning.• Ensure compliance with industry regulations and internal standards in all data management and reporting activit
2026-03-03T00:00:00Z

Data Engineer

Woodland Hills, CA
onsite
Permanent
140000 - 175000 USD / Yearly
Data Engineer (Hybrid, Los Angeles)Location: Los Angeles, CaliforniaCompensation: $140,000 - $175,000 per yearWork Environment: Hybrid, with onsite requirementsAre 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 Data Engineer to join our team in Los Angeles. You'll work in a hybrid environment that combines onsite collaboration with the flexibility of remote work.Key Responsibilities:<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>
2026-02-23T00:00:00Z

Data Engineer

Los Angeles, CA
onsite
Temporary
55.4135 - 64 USD / Hourly
**** For Faster response on the position, please send a message to Jimmy Escobar on LinkedIn or send an email to Jimmy.Escobar@roberthalf(.com) with your resume. You can also call my office number at 424-270-9193**** We are looking for a skilled Data Engineer to join our team on a long-term contract basis in Los Angeles, California. In this role, you will design, build, and maintain robust data infrastructure to support business operations and analytics. This position offers an opportunity to work with cutting-edge technologies and contribute to impactful projects. This position is a hybrid that is 3 days a week on-site and 2 days remote. Responsibilities:• Develop and implement scalable data pipelines using Apache Spark, Hadoop, and other big data technologies.• Collaborate with cross-functional teams to understand and translate business requirements into technical solutions.• Create and maintain ETL processes to ensure data integrity and accessibility.• Manage and monitor large-scale data processing systems, ensuring seamless operation.• Design and deploy solutions for real-time data streaming using Apache Kafka.• Perform advanced data analytics to support business decision-making.• Troubleshoot and resolve issues related to data infrastructure and applications.
2026-03-04T00:00:00Z