Make a big difference in healthcare access, performing custom ad hoc analyses and developing robust data pipelines to automate data extraction, transformation, and loading (ETL) processes. Build intelligent data models, utilize Databricks, SQL Server, and Python to process and analyze large datasets efficiently.

As a People Data and Insights Analyst, you'll build a robust data foundation, collaborate with technology owners and the Enterprise Data Office, and design data models. This role requires an understanding of data warehousing principles and the ability to translate data into actionable insights for strategic people decisions.

Lead the development of advanced analytics solutions, including predictive modeling, machine learning, and real-time dashboards. Collaborate with cross-functional teams to extract actionable insights and identify key performance indicators (KPIs) that align with organizational goals. Stay current with emerging technologies.

Support AI product development through data analysis, predictive model building, and insight extraction, while collaborating with AI engineers and working with real-world datasets to improve business decision making by implementing machine learning techniques on internal/external projects and following MLOps practices in software development.

This role develops and scales business intelligence and analytics capabilities. The individual will oversee both technical and strategic aspects of BI, including data modeling, architecture, reporting, and insights. This position is a key partner across multiple teams, delivering high-quality dashboards, data models, and actionable insights to support decision-making.

Analytics engineers turn vast amounts of data into insightful, easy-to-use, automated reports. They work closely with both the internal team of engineers and our partners’ projects teams to deliver reports that inform better business decisions. This role requires 5 years of experience with SQL, data modeling, ELT process, Git, and BI tools.

As a Product Analyst at Kiavi, you define, execute and launch improvements to customer experience, implement changes to credit policy / pricing, manage production support & deliver small improvements to enhance customer experience. You will prioritize a backlog of internal & external problems, collaboratively defining solutions that are tech-debt neutral.

As a Data Analyst you will be responsible for analyzing, transforming, and optimizing large datasets to provide actionable insights that drive business decisions, working with Sales, Finance, Product, and Marketing teams to understand business needs and translate them into data solutions. The role involves building, optimizing, and maintaining ETL pipelines to process and transform raw data into structured, meaningful datasets.

Lead data initiatives, provide actionable insights, and develop scalable solutions to optimize deal outcomes and drive business growth. Own KPI reporting, predictive modeling, and workflow automation to optimize Deal Desk capacity, as well as collaborate cross-functionally with business partners to leverage insights to support data-based decision making and increase deal velocity.

As a Business Intelligence Analyst within GP will be leveraging data to spot relevant insights, identify trends and opportunities for the Marketing and Sales team. The person who fills this role will create visually appealing reports and dashboards that correctly communicate key findings to stakeholders. We are looking for a data driven mind with a passion for analytics.