Remote Data Jobs • Tableau

Work closely with the product management team to track feature success metrics. Understand the functionality of our online platforms by reviewing product and technical requirements. Conduct independent analyses to support the product management team with actionable user behavior and business insights. Perform regular checks to ensure data integrity. Creation of KPI based dashboards for understanding complex business issues to enable strategic and operational decision-making.

Kiavi’s Risk Analytics team is seeking a talented Data Scientist to join us in our effort to reinvent real estate investment lending. You will be working with the Director of Risk Analytics to tackle fun business problems related to credit risk management, asset valuation, process optimization, and more. An ideal candidate should be able to utilize advanced data manipulation and modeling techniques to work on structured and unstructured data to solve complex business problems.

In this role on the Healthcare Data Analytics team, you will play a pivotal role in analyzing and interpreting complex healthcare data to support strategic decision-making and improve population health outcomes. You will work closely with Interwell Health colleagues and stakeholders to understand analytical needs, develop insights that drive healthcare initiatives, optimize resource allocation, and enhance patient care.

As a Technical Product Analyst you will analyze high level business requirements and translate them into technical specifications for our engineering team, collaborating with data, design, and engineering teams to drive consistent and scalable customer event and profile tracking. The analyst will monitor and analyze product experimentation to assess and quantify the impact of product and lifecycle marketing changes, reporting to the Director, Business Intelligence.

Work on end-to-end data projects with the Ad Network squads to improve performance and drive targeting and revenue improvements. You'll gather needs from stakeholders, share progress and provide actionable recommendations. Build data collection and transformation pipelines, and actionable dashboards. Analyze large, complex data sets with billions of events.

Reporting to the Senior Manager of Development and Operations, you will be an expert in designing and developing end-to-end data solutions from source data ingestion, ETL process, visualization, and to business insights delivery. You will identify automation opportunities in existing data pipelines and propose design of the automation process. You will collaborate with Engineering teams to discover and use data being introduced into the environment.

You will lead a team of analysts and data scientists partnering with Measurement Strategy and Product Science leaders to scale the delivery and interpretation of experiment results and insights from our cutting-edge science platform. Your team’s work will be critical to meeting growing customer demand with clarity, speed, and reliability. As a trusted leader, you will ensure customers understand and gain value from our scientific outputs, driving confidence and long-term adoption.

Play a crucial role in driving the company metrics that empower the Inspiren team with the data-driven insights and recommendations needed to make informed decisions to optimize operations and facilitate performance improvement in a fast-paced, dynamic healthcare technology environment.

This role will turn data—from web, sales, subscriptions, customer behavior, and more—into insights that shape strategy across growth, operations, product, and beyond. The role involves data analysis and transformation, working hands-on with large, diverse datasets across e-commerce, web/behavioral tracking, subscription, marketing, and AI/ML systems. Deliver insights with confidence and clarity, bridging the gap between raw numbers and business strategy.

Reporting to the Senior Manager of Development and Operations you will be an expert in Design and Developing end-to-end data solutions from source data ingestion, ETL process, visualization, and to business insights delivery. You will identify automation opportunities in existing data pipelines and propose design of the automation process, collaborate with Engineering teams, write secure, stable, testable, and maintainable Python code, and troubleshoot data.