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Top Senior Level Data & Analytics Jobs in Milwaukee, WI
The role involves building and maintaining a secure cloud-hosted laboratory for data science teams at the US Department of Treasury. Responsibilities include developing data pipelines, implementing tools like Databricks, managing AWS services, and ensuring compliance with data security and AI principles.
The IT Analyst - SAP Logistics will develop and support SAP Logistics solutions, manage incidents, and collaborate with stakeholders to ensure compliance and timely delivery. Responsibilities include configuring SAP modules and resolving issues in a post go-live environment.
The Senior Commission Analyst will support the Finance team by ensuring the accurate calculation, analysis, and reporting of sales commissions. Responsibilities include developing compensation plans, analyzing metrics, building compensation models, and enhancing process efficiencies. Collaboration with Sales, Finance, HR, and Operations is essential to ensure alignment and compliance with compensation strategies.
The Senior Revenue Operations Analyst at Apptegy will analyze performance data, develop forecasts, and collaborate with sales and client success teams to refine methodologies for client health scoring and commission structures, driving revenue growth and operational effectiveness.
The Lead Data Visualization Developer is responsible for designing and creating dashboards and reports based on client needs, utilizing SQL for data exploration and collaborating with stakeholders for effective data visualization solutions. This role focuses on supporting self-service analytics environments rather than advanced data science techniques.
The Data Architect at Sunnova is responsible for developing data collection, modeling, and integration strategies. This includes designing data pipelines, managing Snowflake data warehouses, and integrating data from Salesforce. The role involves optimizing data storage, ensuring data quality, and collaborating with analysts and scientists to support data-driven decision-making.
As a Senior Product Analyst, you'll lead product analytics initiatives, transforming raw data into actionable insights to guide product development and user engagement. Collaborating with cross-functional teams, you'll analyze user behavior, develop metrics and dashboards, and deliver data-driven recommendations to enhance product strategy.
As a Lead Data Scientist, you will focus on improving the Fingerprint Pro Identification Service by applying advanced data science and machine learning techniques. You will lead technical strategies, mentor engineers, and oversee data science projects from concept to deployment, integrating with the identification platform and enhancing the team’s technical expertise.
The Principal Data Architect will lead data integration and analytics efforts, collaborating with Data Science and Marketing teams. Responsibilities include designing data models, building data pipelines, improving integration practices, and ensuring service quality. They will work on enhancing data-driven marketing insights and maintaining high-quality data processes.
As a Staff Data Scientist at Zora, you will manage complex data challenges, design and build data systems like ETLs and dashboards, and promote a culture of experimentation through A/B testing. You will also develop metrics for products and contribute to algorithms and recommendations, collaborating with stakeholders to drive data-led decisions.
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