Top Senior Level Data & Analytics Jobs in Los Angeles, CA
Restaurant365 is seeking a Manager, Business Intelligence to lead the Data & Analytics team in driving data-informed decision-making. Responsibilities include people management, data product management, project management, and stakeholder engagement. The successful candidate will need 8+ years of experience in data and 3-5 years of formal people manager experience.
Provide research and analysis of schedule and technical data, develop schedule risk assessments, lead support to space program offices, develop integrated master schedules, conduct schedule diagnostics, communicate effectively with program office and customers, work as part of a team in a fast-paced environment, think critically, and synthesize information from multiple sources.
The Space Systems Analyst will provide analytical support, algorithm development, systems engineering and architecting, and modeling and simulation analysis for space surveillance systems.
The Pricing Analyst for CrowdStrike Financial Services will provide pricing support and analysis for CFS's financing portfolio. Responsibilities include performing pricing and profitability analysis, leading the development of pricing models, and coordinating with senior leadership to optimize returns and grow the portfolio.
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Looking for a senior data engineer passionate about testing data and enhancing datasets. Responsibilities include working with SQL, analyzing complex data, building ETL/ELT pipelines, and collaborating with peers. Qualifications require 5+ years of data engineering experience, knowledge of tools to improve data quality, and experience with continuous integration tools and source control systems.
Manager position focusing on data conversion and management within the financial services sector, specifically insurance and asset management. Responsibilities include developing new skills, resolving issues, coaching team members, analyzing proposals, and using data to inform decisions. Preferred qualifications include knowledge of Guidewire Policy and Claims Data Model, data migration, data analytics, and data warehousing.
As a Senior Data Operations Specialist at ServiceNow, you will be responsible for evolving the foundational Data services and capabilities for AI and Machine Learning solutions. You will work closely with AI Product Managers and engineers to research, troubleshoot, and resolve data requests and issues in a timely manner. This role requires deep engagement with the engineering team in data initiatives and providing exceptional support to business units with customer datasets.
Seeking a Director of Data Science to lead a team in partnering with marketing, sales, and product teams to drive business growth and launch high-impact initiatives. Responsibilities include driving high-quality data practices, developing predictive models, analyzing marketing trends, and building scalable data foundations. This strategic role will involve shaping the future of the business through data-driven insights and leadership.
Looking for a Data Engineer to leverage various data sources and technologies to help stakeholders create products and answer business questions. Responsibilities include working with business stakeholders, building standardized data solutions, ensuring data quality, and collaborating with data analysts. Required skills include SQL proficiency, object-oriented language experience, and expertise in building scalable data pipelines.
Design, build, and manage distributed services and pipelines for Underwriting & Credit at Cash App. Lead cross-functional projects, ensure high code quality, collaborate with teams, and solve technical challenges at scale. Mentor and support fellow engineers to enhance development capabilities.
As a Sr. BI Reporting Analyst, you will be responsible for building and maintaining Tableau dashboards and reports, meeting with stakeholders to gather requirements, and transforming data for efficient presentation. You will also provide input into the architecture and design of a business intelligence solution and recommend improvements to streamline processes. The position requires a strong attention to detail, data visualization and design skills, and proficiency in Tableau and SQL.
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