Top Data & Analytics Jobs in Minneapolis, MN
As a Senior Payments Data Analyst, you will analyze payment data to provide insights, optimize processes, and monitor payment success metrics. You'll collaborate with teams for innovative testing initiatives and lead automated performance monitoring systems, while also preparing various reports for executive leadership. Strong analytical skills are essential for understanding trends and making data-driven decisions.
The Head of Data Operations will oversee global data operations ensuring data accuracy, availability, and reliability. This role includes managing an international team, overseeing data transfers/services, incident management, and optimizing operational workflows while responding to dynamic priorities.
The Sr. Data Analyst will analyze large-scale data sets to identify trends and performance metrics, develop enterprise-wide data analysis and reporting solutions, provide analytical support across departments, ensure data quality, and assist in software development and sales processes.
The Data Analyst at Vetsource is responsible for using a data warehouse to build models and dashboards that provide insights. They will normalize messy datasets, understand clients' business needs, optimize SQL queries, and visualize findings with Looker/PowerBI, while also suggesting process improvements and designing KPIs.
The Billing Analyst manages the billing process, ensuring accuracy and timeliness. Responsibilities include generating invoices, preparing reports, maintaining client billing guidelines, and providing high-quality customer service. This role also involves troubleshooting electronic billing issues and managing unpaid funds.
As a Market Intelligence Analyst, you will conduct market research and analysis of the semiconductor capital equipment market, develop financial models, provide strategic recommendations to senior leadership, and collaborate with various teams to implement market strategies and campaigns.
The Technical Analyst Lead will oversee system and infrastructure operations, provide technical direction to improve workflows, manage hardware and software deployments, and ensure successful integration of critical projects, all while working with multiple teams.
The Data & KPI Analyst collects, analyzes, and interprets large datasets to provide actionable insights for decision-making. The role involves developing KPIs, creating reports and dashboards with tools like Tableau and Power BI, ensuring data accuracy, and collaborating with cross-functional teams to drive business performance improvements.
The Lead Data Engineer will design and develop Snowflake Data Cloud solutions, including data ingestion pipelines and data architecture, mentoring junior engineers, and leading technical teams. This role requires expertise in cloud data warehouses and ETL/ELT processes to optimize data systems for customer projects.
As a Model Risk Analyst, you will develop and implement model risk management practices, validate models, identify potential risks, and support risk mitigation activities. The role involves collaboration with internal teams and customers to ensure models are accurately managed, while tracking and reporting model risk issues regularly.
Top Companies in Minneapolis, MN Hiring Data + Analytics Roles
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