Top Data & Analytics Jobs in Minneapolis, MN
Seaport Research Partners seeks a Senior Equity Analyst with at least 7 years of experience in equity research. The role involves generating differentiated research, maintaining strong buy-side client relationships, and providing management access opportunities. Candidates should possess excellent communication skills and an entrepreneurial mindset, with MBAs and/or CFA preferred.
As a Principal Data Scientist II (AI), you will shape AI strategies and develop innovative AI solutions. Responsibilities include defining AI architecture, collaborating with data scientists, integrating AI capabilities across the platform, providing technical leadership, and driving product innovation.
The Senior Data Analyst will build and enhance CXO data models, develop compelling data visualizations, and present insights to senior leadership. This role involves collaborating with cross-functional teams to improve customer experience and serving as a subject matter expert on VoC data.
The Data Architect at Expel will evolve the data architecture for improved data lineage, quality, and governance. This role involves optimizing legacy systems, integrating new data patterns, and collaborating with teams to enhance data pipelines and storage. Strong leadership skills are necessary to guide multiple teams towards a mature data strategy.
As an Analytics Engineer at Beam, you will collaborate with various teams to enhance data usability and reliability, develop and maintain the data warehouse, and implement software engineering best practices in analytics processes.
The Data Analyst will work remotely to interpret and develop data project requirements, utilizing tools like Python, Excel, and SQL for data cleansing, analysis, and interpreting complex data issues. The role requires effective communication with both technical and non-technical clients and self-management in a fast-paced environment.
The Data Architect at StraighterLine is responsible for developing and maintaining a long-term data strategy to drive business growth, designing data lake/warehouse solutions, integrating systems into a cohesive data architecture, and implementing data governance initiatives. Collaboration with various stakeholders and support for advanced analytics and machine learning initiatives are also key responsibilities.
Develop predictive models and machine learning algorithms to optimize financial processes. Conduct exploratory data analysis to identify patterns, collaborate with teams to design analytical solutions, and build the Data Analytics function as the company expands.
The Senior Data Integration Engineer will develop data models and processing pipelines for large data sets, utilizing SQL and RESTful APIs. Responsibilities include designing and maintaining ETL processes, integrating data from various sources, and ensuring data quality and integrity.
The Business Development Analyst will support Nava's mission by identifying and analyzing procurement opportunities, conducting competitive market research, and maintaining the Salesforce CRM. The role requires strategic thinking and effective communication to help prioritize growth opportunities and understand new programs and public policy.
Top Companies in Minneapolis, MN Hiring Data + Analytics Roles
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