Top Analysis Reporting Jobs in Milwaukee, WI

The Data Engineer will build and scale data systems, manage data pipelines, ensure data quality, and collaborate with cross-functional teams to utilize entertainment data effectively.

As a Senior Data Engineer, you will build and maintain the data platform infrastructure, oversee data lakehouse architecture, and collaborate with product engineering to ensure reliable data delivery and adherence to data contracts.

As a Data Engineer, you'll build and support scalable data pipelines and modern analytics platforms, focusing on real-time and batch data for decision-making. Responsibilities include maintaining ETL processes, data modeling, technical writing, and advocating for reliable data systems.

The Data Quality Analyst will manage customer data migrations, ensuring accuracy and success while working with internal teams to facilitate the process. They will spend 60% of their time with clients and 40% on technical tasks like writing SQL queries and analyzing data structures.

The Staff Data Engineer will manage data governance, ETL/ELT operations, design security for reporting, and support ML workloads, while evolving a self-service reporting platform.

The Data Engineer will develop and optimize data pipelines, ensure data workflow performance, and collaborate with data teams to improve data operations and quality.

The Senior Data Scientist will focus on customer analytics, developing models for segmentation, retention, and experimentation to drive engagement and revenue decisions.

The Senior Data Analyst will analyze product usage data, develop dashboards, and guide product decisions by translating complex data into actionable insights to improve clinician engagement and outcomes.

Design and maintain data pipelines for analytics and operational decision-making. Collaborate with teams to ensure reliable data systems and governance, utilizing Python and SQL.

The Senior Data Architect designs and implements data architecture solutions, leveraging modern platforms and methodologies to enhance data management, modeling, and integration across applications and stakeholders.

The Snowflake Data Architect will oversee the architecture of Snowflake environments in healthcare, focusing on EHRs and data migration, ensuring HIPAA compliance, and leading complex projects.

The Senior Data Architect will design and manage data architectures using Databricks and cloud technologies, ensuring efficient integration and governance while leading technical discussions with stakeholders.

The Principal Biostatistician will lead statistical analyses for Phase 1 studies and safety analyses for Phase 2/3 trials, serve as an unblinded DMC statistician, and contribute to regulatory submissions and study design discussions.

As a Principal Statistical Programmer, you will manage statistical programming tasks in clinical trials, ensuring high-quality data reporting and compliance with regulations.