Top Remote Data & Analytics Jobs in Austin, TX

Inovalon seeks candidates to join their Talent Community, emphasizing data-driven solutions to enhance healthcare outcomes and economics.

Develop and maintain datasets for visualization and machine learning; automate data pipelines; partner with teams to build data products.

The Senior Data Engineer will manage and transform data pipelines, implement changes in Snowflake, monitor costs, and resolve data issues.

The Sr. Product Analyst will identify growth opportunities through user data analysis, manage A/B testing, enforce statistical rigor, and create dashboards to support the Growth team.

The Senior Growth Analyst will drive data analysis to optimize product execution, support growth strategies, and enhance company-wide impact through insights and performance metrics.

The Senior Manager, Data Science & Analytics will lead a team to drive analytics and experimentation strategies for Yahoo Mail's growth and monetization, engaging with product, finance, and marketing to transform data insights into actionable strategies for success.

In this role, you will lead deal analytics efforts, providing data-driven insights for strategic decisions, manage client relationships, and develop junior team members while participating in business development activities.

Lead and scale advertising analytics and tooling to optimize paid-media performance and incrementality. Build predictive and prescriptive models (forecasting, pacing, bidding, attribution), enable automation and self-service insights, and partner cross-functionally to align ad strategy with business goals while coaching a high-performing analytics team.

Manage AmRisc catastrophe modeling: audit portfolio data and model results, implement and test vendor model changes, develop portfolio optimization tools, liaise with vendors, IT, carriers and leadership, support capacity efforts and deliver projects for senior management.

Senior domain expert responsible for translating payment integrity domain knowledge (CR, COB, DM) into scalable rule logic, workflows, automation, and AI-enabled solutions. Partners with product, engineering, analytics, and operations to design, govern, and continuously improve rules, orchestration, and automation to reduce false positives and prevent improper payments.