Top Analysis Reporting Jobs in Indianapolis, IN

As a Data Engineer, you will build and optimize data pipelines, manage ETL workflows, and ensure efficient data access and quality within the infrastructure.

The Data Engineer will develop and maintain data pipelines, build data models, ensure data quality, and support cross-functional teams while improving internal data platform infrastructure and documentation.

The Senior Data Scientist will build frameworks for data-driven decision making, develop predictive models, ensure data quality, and enhance customer experiences through analytics and operational insights.

The Organic Growth Analyst will support SEO and content strategies for B2B SaaS clients, conduct analyses, and help track performance.

The Salesforce Business Solution Architect I translates business needs into solutions within Salesforce, capturing requirements, designing processes, and mentoring project teams. Responsibilities include leading projects, defining data and processes, and ensuring use of technology aligns with business goals.

Conduct public records research (county recorder/assessor/GIS) to identify home sales and parcel owners for new-home communities, update the company database, and report findings via a web portal to a Regional Research Manager. Part-time, remote role with flexible schedule.

The Senior Data Analyst will analyze large datasets, especially in the insurance sector, to provide actionable insights, validate data submissions, and support business objectives with reporting solutions.

The Qlik Support Engineer provides ongoing support for QlikSense environments by developing data models and dashboards, monitoring system performance, and collaborating with stakeholders for enhancements.

The Data Architect will design scalable data models, transform raw data into actionable insights, and deploy analytics solutions for healthcare providers, with a strong emphasis on SQL proficiency and cloud technologies.

The Data Analyst will maintain KPI standards for Customer Support, build dashboards, produce analyses, and lead metric alignment conversations, ensuring accurate data interpretation and decision-making support.