Top Senior Level Data & Analytics Jobs in Minneapolis, MN

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.

As a Staff Data Engineer at Twilio, you will design, build, and maintain data pipelines, optimize data warehouse structures, and collaborate with cross-functional teams to leverage data for business strategies. You will also develop machine learning infrastructure and ensure efficient data processing and analysis.

As the Lead Data Scientist, you will establish a data science practice, collaborate with various teams to optimize systems, leverage data for strategic decisions, and utilize advanced analytics techniques to derive insights that drive business outcomes.

The Director of Data & Analytics will lead client projects by creating and implementing data strategies and automation processes, utilizing tools such as Python and Alteryx. Responsibilities include managing project workflows, communicating objectives to stakeholders, and delivering data-driven insights through dashboards and predictive analytics. Strong financial and analytical skills are essential for transforming client needs into actionable solutions.

The Senior Database Administrator is responsible for managing the ADABAS Database environment, including installation, customization, maintenance, performance tuning, security management, disaster recovery planning, and the implementation of new technologies. They collaborate with development teams to optimize database queries and support both structured and unstructured data management.

The Data Scientist will design and implement advanced machine learning models for real-time anomaly detection, automate data discovery from a global honeypot network, and enhance product features through AI/ML techniques. Collaboration with cross-functional teams and direct customer engagement will be essential.