Top Data & Analytics Jobs in Austin, TX
Research, analyze, and develop recommendations for compensation programs that align with business objectives. Communicate and educate company leaders on compensation program structure. Analyze market data to make competitive pay recommendations. Administer annual compensation planning processes and ensure compliance with laws and regulations.
The Principal Data Analyst will be responsible for deriving meaningful insights from data and supporting the Enterprise and Sales teams. They should have experience in sales data analysis, strategy, or business analysis, with proficiency in SQL, Excel, Tableau, and Salesforce. The successful candidate will be highly organized, analytical, and detail-oriented. A degree in Business, Statistics, Finance, or a related analytical field is preferred.
Partners with Consumer and Ecommerce Business Groups to ensure delivery of applications aligned to the business and IT strategy. Responsible for authoring data integrations and API related Consumer business requirements. Collaborates with business users, translates high-level requirements into actionable workloads, and leads troubleshooting efforts on critical issues.
CrowdStrike is seeking a Sr. HRIS Analyst with extensive Workday experience in Absence Management, Time Tracking, and Core HCM. Responsibilities include building integrations, managing payroll interfaces, and implementing new programs. The role requires 5+ years of HR technology experience in a global environment.
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Support the Data Science team in analyzing features for online real-time bidder models, creating machine learning bidder models, and collaborating with various teams to drive product efforts. Responsibilities include designing/acquiring features, implementing bidder algorithms, data analysis, model development, and presenting insights. Qualifications include an advanced degree in a quantitative field, proficiency in Python and SQL, experience in machine learning frameworks, and 3+ years of experience in developing machine learning algorithms.
The Client Analyst will be responsible for working with internal teams and clients to align on objectives and make recommendations for campaign optimization based on performance data analysis. They will serve as the day-to-day analytics point of contact for assigned client accounts and present insights to both internal and external audiences.
Lead and mentor the B2B Marketing and Sales Data Science & Analytics functions, develop a comprehensive data science and analytics strategy, provide thought leadership on analytic techniques, collaborate across the Customer Data Science & Analytics organization
Seeking an experienced Staff Machine Learning Engineer - MLOps Platform to join the Machine Learning team at Realtor.com. Responsible for designing data pipelines, enhancing infrastructure, optimizing model performance, and collaborating with product and engineering teams. Requires experience in Python, R, Spark, SQL, AWS, Kubernetes, and MLOps frameworks.
This role involves driving the robotics aspects of the Simulation Smart Agents software stack, collaborating with specialists to deploy algorithms and ML models, optimizing ML and system pipelines, improving data pipelines, defining metrics for evaluation, and closing gaps in tooling for accelerated engineering velocity within Simulation.
Seeking a collaborative Senior Data Engineer with strong experience in data modeling, SQL, Python, DBT, and Snowflake. Responsibilities include mentoring junior data engineers, building data transformations, and optimizing ETL jobs for processing large amounts of data. Must have 6+ years of experience in data engineering, a Bachelor’s degree in computer science, and proficiency in cloud native infrastructure (Azure), Docker, and object-oriented programming.
Join Square as a Senior Data Scientist in the Payment Risk team. Enhance risk controls, manage metrics, and advise stakeholders on risk controls. Lead fraud prevention efforts and develop machine learning solutions. Partner with various teams to influence product roadmaps and procedures. Requires 8+ years of experience in statistics, mathematics, or related field, proficiency in SQL, Python, and Looker, and strong knowledge in statistics and machine learning.
As a Staff Machine Learning Engineer at Personio, you will be at the forefront of shaping their Machine Learning landscape. You will provide technical leadership, guide engineers, collaborate with cross-functional teams, and write high-quality, maintainable code. You should have a strong background in Machine Learning frameworks, including Pytorch, Tensorflow, and NLP. Additionally, you should have experience building machine learning models and a proven track record of technical leadership.
Top Companies in Austin, TX Hiring Data + Analytics Roles
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