Top Remote Analysis Reporting Jobs in Reno, NV

The Customer Insights Analyst will collect quantitative and qualitative research to support strategy and provide data-driven insights for customer growth and retention.

Lead the transformation of insurance operations into scalable solutions on the Majesco platform, ensuring alignment with product architecture. Guide clients through the implementation of insurance strategies across policy administration, billing, claims, and digital experiences.

As a Senior Data Engineer, you'll design and maintain cloud-native data infrastructure, develop data pipelines, and ensure high-quality data solutions while mentoring teammates and influencing strategy across the data ecosystem.

As an Associate Director, you'll lead the design and implementation of integrations using iPaaS tools, manage teams, and help clients optimize ERP transformations.

Lead the Data & Analytics team, focusing on building data platforms, improving delivery speeds, and integrating Generative AI into data strategies.

The Insights Principal leads market research projects, turns data into insights, collaborates with teams, and ensures ethical research practices.

The Clinical Research Lead oversees the execution of clinical trials by engaging investigators, managing sites, and optimizing enrollment strategies in the Oncology field.

The Senior Director Analyst in MDM leads research and advisory functions, focusing on Master Data Management strategies and providing clients with actionable insights to enhance their data initiatives. This role requires strong analytical skills and the ability to communicate complex concepts effectively.

The Sr Data Analyst at BECU will analyze marketing campaign performance using SQL and develop insights through visualizations, collaborating with Marketing leadership to enhance engagement and reporting.

Design, build, and maintain production data pipelines and tooling (CI/CD, testing, validation) using Snowflake, dbt, and orchestration tools. Model, transform, document, and optimize data to produce reliable curated datasets for analytics and solutions, enforce engineering best practices, and mentor teammates while ensuring scalability, observability, and data integrity.