Top Entry Level Data & Analytics Jobs in Madison, WI

The Revenue Operations Analyst supports the full customer lifecycle in collaboration with Marketing, Customer Success, and Sales Leadership. This role focuses on optimizing revenue tools, maintaining data integrity, improving processes, managing leads, and supporting deal structures to drive business growth and enhance team productivity.

As a Software Engineer focusing on Data Analytics, you will develop tools and processes for autonomy software, optimize data pipelines, ensure data quality, and produce actionable insights through reports and dashboards, collaborating with stakeholders on performance metrics.

As a Data Visualization Consultant, you will design and develop analytics applications in BI platforms like Tableau and PowerBI, creating effective visualizations to meet healthcare clients' needs. Responsibilities include understanding client requirements, designing mockups, coaching organizations on best practices, and troubleshooting visualization issues.

The Data Integration Specialist will work with clients to onboard their data to Enterra solutions, validate data processes, and communicate requirements. Responsibilities include mapping data, addressing gaps, conducting initial data wrangling, and testing solutions. The role emphasizes collaboration with data engineers and understanding client data needs.

As a Managed Services Compliance Analyst, you will assist with compliance and regulatory matters for financial services, reviewing marketing materials, performing trade analysis, administering codes of ethics, and managing various compliance tasks using platforms like ComplySci and illumis.

As an Ad Hoc Data Processing/Data Entry Specialist, responsible for accurately entering and processing data according to company's standards and procedures. Requires high attention to detail, efficiency, and handling confidential information.

The People & Performance Associate will enhance people operations through talent acquisition, onboarding, performance management, data analysis, and strategic execution, utilizing AI tools and automation to improve efficiency and impact.