Top Remote Data & Analytics Jobs in Austin, TX

The Research Analyst II at Enverus is responsible for owning datasets, leading research initiatives, and acting as a resource for clients. Duties include data collection and processing, data cleaning, and collaborating with teams on large projects. The role involves executing improvements to data collection, addressing client inquiries, and training new hires. Ideal candidates have a Bachelor's degree, 1-3 years of experience, familiarity with Agile methodologies, and technical skills in SQL, R, and Python.

Join a high-performing Data Science team to drive actionable insights across Customer Support Products. Leverage advanced statistical analysis and machine learning to shape product development and measure success. Partner with cross-functional teams to deliver analytics for programs or products.

As a Staff Machine Learning Engineer at Striveworks, you will be responsible for leading and executing machine learning projects for commercial and government clients. You will develop machine learning models and custom analytics solutions and automate data pipelines and algorithms. This is a remote work position with regular travel.

Senior Analyst role at Self Financial focusing on product analytics. Responsibilities include collaborating with cross-functional teams, performing comprehensive analyses, leading efforts in experimentation and predictive analytics, and communicating findings to stakeholders. Strong emphasis on data strategies for product innovation and acquisition. Requires expertise in Python, R, Redshift, and JupyterLab.

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.

The Security Research Analyst - Threat Intelligence at Cloudflare is responsible for reviewing and maintaining threat data feeds, analyzing IoCs and network behavior patterns, collaborating with data scientists to identify security threats, and implementing strategies for false positive controls. The role also involves defining metrics for product efficacy and exploring potential data science or machine learning projects.

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.