Get the job you really want.
Top Remote Data & Analytics Jobs in Austin, TX
As a Data Engineer II, you will clean and process large datasets, migrate client data, develop data quality assurance checks, and streamline data pipelines. You will collaborate cross-functionally to understand and fulfill data needs, while also monitoring and optimizing system performance for impactful healthcare data analysis.
As a KYC Investigations Analyst, you will manage CertiK's KYC badge product, conduct interviews to assess risks, perform investigations using OSINT, and provide customer service during the KYC process. You will document findings and evaluate project teams for quality and risks.
As a Senior Manager in Data and Analytics, you will lead projects to implement data strategies, build automation tools, and develop visualizations for clients. Responsibilities include project management, communicating business needs, and collaborating with stakeholders to drive data-driven transformations.
Lead the design and implementation of modern data architectures and scalable data platforms. Collaborate with various teams to ensure data integrity and accessibility while optimizing data pipelines and mentoring the engineering team. Foster innovation and address the data infrastructure needs of the organization by integrating AI/ML workflows.
As a Lead Data Analyst at Mindoula, you will guide a team in creating impactful data visualizations and analyses, lead business intelligence capabilities, ensure data accuracy, and build strong collaborations across departments to support healthcare delivery improvements.
The Research Scientist at Virdx will focus on developing MRI protocols and a diffusion simulation engine, utilizing machine learning and statistical inference for cancer detection. Responsibilities include optimizing imaging techniques and contributing to the advancement of non-invasive diagnostic methods.
As a Sr. Data Scientist at EverBright, you will develop machine learning and optimization solutions, evaluate solar production, ensure data quality, and work with large datasets. Strong leadership and communication skills are essential for collaborating with diverse teams and contributing effectively in an agile environment.
The AI Strategist will partner with sales and delivery teams to identify business value from generative AI initiatives, lead discussions with potential clients, assess AI project viability, and ensure alignment with strategic outcomes. The role requires strong business acumen, effective communication, and collaboration skills to facilitate successful AI solutions tailored to client needs.
As a Senior Analytics Engineer, you will implement scalable analytics infrastructure and convert raw data into standardized assets to drive business decision-making. Responsibilities include designing data models, defining engineering standards, collaborating across functions, and influencing analytics strategies for scalability.
The Data Analytics Manager will lead a team of data professionals, guide data analysis and business intelligence efforts, and foster a culture of analytics excellence. Responsibilities include developing strategic roadmaps, managing resources, and improving key team metrics while collaborating with cross-functional stakeholders.
All Filters
No Results
No Results
