Top Hybrid Data & Analytics Jobs in Austin, TX
Lead analytics projects and provide insights to support product growth in the gaming industry. Collaborate with cross-functional teams and analyze data to optimize game performance and achieve business goals. Own analytics lifecycle and mentor team members. Must have 5+ years of experience in data-driven organizations.
The Senior Gameplay Analyst at SciPlay works on data analysis for social, casual, and mobile businesses. Responsibilities include optimizing marketing spend, producing financial analysis, and providing business intelligence support. Requires a Bachelor's degree and 5+ years of experience in analytics, statistics, or engineering.
Manager position in Business Intelligence responsible for leading and mentoring BI Developers, designing and developing BI infrastructure, initiating advanced ETL processes, building visualizations using Tableau, ensuring data integrity, and supporting decision makers with gap analysis. Requires 5+ years of experience in BI development with strong SQL and Tableau skills.
Design, build, execute, and troubleshoot Warehouse Management System (WMS) and related systems to ensure efficient material flow in high-volume manufacturing plants. Coordinate change requests and continuous improvements. Partner with cross-functional teams to understand and document business processes and best practices.
As a Compensation Analyst at LogicMonitor, you will be responsible for conducting and maintaining compensation benchmarking, ensuring data integrity, and cultivating a pay-for-performance culture. You will work closely with the Employee Success team and business leaders to facilitate compensation review cycles and drive special projects in Total Rewards.
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Seeking a Data Governance Specialist to maintain and enhance Cloudflare's data governance program, collaborate with internal stakeholders, document data flows, classify data, and develop governance policies and standards. Requires a Bachelor's degree and 3+ years of experience in data-related field.
The Associate Research Analyst position is responsible for gathering and analyzing data to provide insights and answers to critical business questions. They will monitor market and economic conditions, forecast trends, and prepare reports for stakeholders. The ideal candidate will have a bachelor's degree in Economics, Finance, or related field, and 1-2 years of experience in an analytical or research role.
The Sr. Business Intelligence Analyst will be responsible for acquiring, synthesizing, and organizing business data to create actionable insights through automated reporting and visualization tools. Key responsibilities include working with allied functions, querying data repositories, integrating business intelligence tools, and managing data flow.
Conduct UX research to inform product development and design decisions for AI and Analytics products. Collaborate with cross-functional teams and influence product roadmaps and design decisions. Expected salary range between $154,700 and $180,000 per year.
Financial Crime Risk Analyst role at Wise Platform in Austin, Texas. Responsible for monitoring financial crime risks of integrated partners, assessing documentation quality, and communicating findings to stakeholders. Developing strategies for risk mitigation and maintaining compliance integrity with partners. Collaborating with various teams across the organization to manage ongoing monitoring and facilitate growth of partners.
Responsible for defining and implementing key advanced analytics and automation solutions in support of Finance initiatives, particularly focusing on Treasury operations. Collaborates with cross-functional teams to drive data-driven decision-making and operational excellence. Leads dashboard development, data analysis, and visualization using PowerBI. Supports greater adoption of advanced analytics and automation to scale processes with business growth. Ensures data governance and compliance with regulatory requirements.
Join an enterprise AI company as a Revenue Operations Analyst to support sales and marketing teams in selling better, faster, and more efficiently. Responsibilities include refining lead qualification processes, supporting sales team with analytics, maintaining CRM data, and enhancing sales productivity.
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