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Top Senior Level Data & Analytics Jobs in Milwaukee, WI
As a Senior Product Data Analyst, you will support the Product organization by curating data, uncovering insights, and creating dashboards. You will own the Product Analytics data catalogue, improve data quality, align the team around key metrics, manage experiments, and analyze product experience changes for better outcomes.
As a Senior Analytics Engineer at Tint, you will be responsible for designing and implementing data pipelines, optimizing data models, and collaborating with cross-functional teams to deliver insights efficiently. This role involves leading data initiatives, mentoring junior team members, and influencing data strategy and architecture to inform key business decisions.
Senior Data Scientist role with a focus on full stack data science. Responsibilities include improving precision/recall of clinical algorithms, developing customer-facing analytics, and growing data science infrastructure. Ideal candidate has 5+ years' healthcare data science experience, ML Ops skills, and a product-focused mindset. Compensation includes $170K to $200K base salary + equity.
The VP Level Strategic Consultant will lead projects for pharmaceutical and biotechnology clients, providing strategic direction, overseeing project execution, and driving business growth. They will leverage extensive leadership experience to deliver high-impact results and tailored solutions for clients.
Design and implement enterprise-wide data strategies, manage data engineering assets, collaborate with cross-functional teams, ensure data integrity and security, develop data models, and lead data governance initiatives.
The Senior Research Analyst will lead research initiatives aligning with business goals, define objectives and methodologies, translate findings into actionable insights, and collaborate with the team to enhance research capabilities. This role requires uncovering data-driven opportunities to impact business success and involve significant data analysis and collaboration with stakeholders.
The Data Scientist will develop and deploy predictive models, analyze complex datasets, create visualizations, and collaborate with teams to improve product capabilities and business outcomes. This role requires strong analytical skills and the ability to make data-driven recommendations.
The Data Steward role involves ensuring organized, robust data usage across the company, developing data governance policies, managing data catalog systems, and providing data insights training. It requires collaboration with various departments to optimize data access and compliance. The position calls for strong documentation skills and 5+ years of relevant experience in data management.
The Data Engineering Management Analyst will manage data migration, implement business management principles, and create ETL jobs using Azure Data Factory. Responsibilities include leading meetings, providing training, and contributing to business management and forecasting using advanced data techniques and tools such as PowerBI.
The Colleague Programmer/Analyst will collaborate with clients in higher education to develop integrations, customize and support their Colleague ERP instances, and ensure effective data reporting. Responsibilities include gathering requirements, developing specifications, managing technical projects, and assisting with systems integration and migrations.
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