Top Remote Analysis Reporting Jobs in Indianapolis, IN

As the GTM Engineer, you'll build Mento's revenue systems, automate workflows, clean data, and collaborate with sales and marketing teams to drive revenue growth.

The Solutions Architect oversees project architecture and delivery, acts as a product liaison, and contributes to the professional services development for Trimble's Construction One platform.

The Principal Decision Scientist will lead data-driven insights for strategic decisions, driving business impact through advanced analytics, AI, and mentoring within a data science team.

Design and manage data processing systems, develop data models, ensure data integrity, collaborate on data sources, and implement data governance practices.

The Senior Data Engineer will focus on Data Modeling, utilizing SQL, Snowflake, and Apache Airflow to develop efficient data models and deliver data products.

The Data Processing Specialist processes and reviews laboratory orders, ensuring accuracy and compliance while working independently and collaboratively in a remote setting.

The Growth Analyst supports capture efforts by producing decision-support artifacts from source documents, using Excel and AI tools for effective organization and analysis of information.

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.

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.