Top Data & Analytics Jobs in Minneapolis, MN
As a Data Analyst II at Human Interest, you'll architect and implement data-driven strategies, collaborate with business leaders to integrate data into operations, build data models in DBT, and provide insights using statistical analysis to enhance decision-making.
The Marketplace Researcher will conduct research on college admissions and extracurricular opportunities for high school students, creating personalized data sets and communicating findings to families. The role requires excellent written communication and the ability to work collaboratively in a virtual environment, with an opportunity to progress into the Product field.
As a Workforce Management Analyst II at Wisetack, you will manage scheduling and efficiency for Customer Support and Loan Servicing teams. Responsibilities include monitoring agent performance, capacity planning, developing schedules, and analyzing key metrics to drive operational improvements.
Featured Jobs
The Staff Research Scientist will develop AI technology focusing on NLP and ASR. Responsibilities include designing and implementing neural net architectures, optimizing training pipelines, and collaborating with ML engineers to enhance product capabilities based on real-world data analyses.
The Costpoint Systems Analyst will provide technical support for Costpoint and its modules, lead implementations, monitor application performance, support users, and ensure compliance with SOX and audit requirements. Responsibilities include gathering requirements, performing regression testing, and maintaining documentation.
The Senior Database Engineer will manage data governance, design data products, collaborate with data stewards, and ensure data quality. Responsibilities include establishing workflows and lineage in Collibra, communicating effectively with stakeholders, and maintaining production support outside office hours.
The Data Analyst will focus on forecasting, reporting, and dashboard creation to support CareRev's growth organization. Responsibilities include translating business needs into insights, building leadership dashboards, conducting ad hoc analyses, synthesizing complex datasets, and managing sales forecasting in collaboration with finance.
As a Senior Analytics Architect, you will develop analytics strategies, conduct workshops with clients, select appropriate analytics tools, integrate analytics into products, and create user-friendly dashboards to present insights into user behavior and product performance.
The Mail Fraud Investigative Support Analyst provides essential investigative assistance for criminal and civil investigations, including the analysis of business records, data mining to identify fraud, and preparation of detailed reports and presentations. The role involves extensive research and collaboration with Postal Inspectors.
The Revenue Fraud Analyst retrieves and analyzes data from USPS and Inspection Service systems to support revenue fraud investigations. Responsibilities include reviewing complaints, data mining for deficiencies and fraud, preparing detailed reports, and coordinating tasks to ensure completion for investigative projects.
The Data Engineer will develop and maintain data pipelines using Python, analyze business requirements, and document data flows and structures while collaborating with cross-functional teams to implement effective data solutions. Responsibilities include optimizing data pipelines and troubleshooting data-related issues.
The Senior Data Scientist will leverage expertise in Data Science and AI to design and build advanced analytics engines. Responsibilities include developing analytical models, collaborating with cross-functional teams, and ensuring business value through effective communication of results.
.jpg)
All Filters
No Results
No Results
