Top Analytics Jobs in Minneapolis, MN
The GIS Analyst will provide technical expertise in GIS, create and maintain GIS database products, conduct analysis, support end-users, and ensure quality assurance of GIS applications. Responsibilities include developing documentation and conducting testing of GIS applications.
The Lead Data Manager oversees all data management activities in clinical trials, coordinating data management tasks, client communications, and project timelines. Responsibilities include creating study documentation, user acceptance testing, data review, and training Data Managers. The role requires maintaining data quality and conducting project-specific training while ensuring compliance in deliverables and documentation.
As a member of the Data Ops team, you will process investment data from venture capital firms, analyze financial statements, assist in onboarding new customers, ensure data accuracy, and collaborate with various departments to streamline data workflows.
The Senior Data Quality Analyst will enhance data quality through automation and collaboration with data operations and reporting teams, applying statistical methods and tools to ensure accuracy, completeness, and reliability of data for government health programs, particularly for CMS. Responsibilities include analyzing data, developing quality policies, and presenting findings to stakeholders.
As a Data Scientist/Analyst at PayZen, you will develop statistical and machine learning models to improve patient engagement and financial processes. Responsibilities include collaborating with teams to optimize data strategies, designing AI/ML model infrastructure, and executing A/B tests to drive unbiased insights for better business outcomes.
The Epic Analyst role involves creating architectural diagrams to illustrate interactions between Epic systems using FHIR and HL7 standards, focusing on EMR records related to appointments, scheduling, orders, and incident management.
The Research Associate role at a new AI startup involves data collection, QA, data analysis, and improving AI interactions with humans. This position offers opportunities for career advancement and learning new software skills on the job.
The Senior Analytics Engineer designs and optimizes data systems using Snowflake and dbt. Responsibilities include collaborating with sales, marketing, and finance analytics teams, developing data models, overseeing dbt projects, analyzing product performance, building financial models, and maintaining data quality and governance.
As a Lead Compliance Analyst, you will conduct branch office inspections using risk-based testing methodologies to ensure compliance with FINRA and state insurance laws. Responsibilities include developing inspection plans, analyzing data, and delivering results to partners, while maintaining compliance and identifying risk exposures.
As a Senior AI Researcher at Cerence, you will architect and implement advanced generative AI models for ASR and TTS applications, optimizing large language models for accuracy and efficiency. You will collaborate with cross-functional teams to develop customized solutions and stay updated on the latest advancements in AI and language modeling.
Top Companies in Minneapolis, MN Hiring Data + Analytics Roles
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