Top Remote Data & Analytics Jobs in Minneapolis, MN
The Commercial Operations Analyst is responsible for overseeing site data management, including collection, storage, and organization. This role supports feasibility and budgeting processes within the commercial team, ensuring accuracy and completeness of information, and maintaining relationships with investigative sites.
The BI Analyst will leverage data to enhance operational efficiency and inform product development, focusing on maintaining Tableau dashboards, optimizing data models, troubleshooting data discrepancies, and communicating insights to stakeholders for strategic decision-making.
The Marketing Data Analyst will build and manage audience segments, analyze campaign performance, and provide insights to optimize marketing strategies. This role involves maintaining CRM data, collaborating with marketing teams, and creating reports on key metrics while focusing on improving marketing effectiveness through data-driven decision-making.
As a Data Engineer, you will enhance and support data-related systems, ensuring data flows reliably from platforms to clients. Responsibilities include improving data pipelines, designing features for the Data Platform, operational support, and collaborating with product and engineering teams for project execution.
The Senior Analyst, Order to Cash Operations will manage the order-to-cash process, involving tasks like order management, invoicing, collections, and contract review. This role demands collaboration across teams to optimize processes and drive improvements. The analyst will also focus on data analysis, reporting, and the implementation of automation solutions.
The Staff Data Scientist will lead AI model design and development, conduct research to identify data trends, implement machine learning algorithms, and collaborate with cross-functional teams to integrate AI solutions into Tanium’s capabilities, ensuring optimal performance and scalability.
As a Senior Data Analyst at Typeform, you will collaborate with stakeholders to explain business performance metrics, conduct data analysis using SQL and Python, and create automated reports. You'll work closely with Marketing, Product, and Sales to align analytics with business goals and support data-driven decision-making through experimentation and insights.
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The Senior Data Analyst at Dutchie will implement measurement strategies for digital products, collaborate with product and ad-tech experts, create insightful reports and dashboards using SQL, and ensure data quality and availability. The analyst will leverage analytics to improve products and drive action within the company.
The role involves researching and developing quantitative trading strategies within the energy sector, performing trading performance analytics, and influencing the product direction with data-driven insights. The analyst will collaborate with teams to shape tools and processes that improve trading outcomes, while mentoring junior analysts and fostering a culture of experimentation.
As a Senior Data Analyst in Sales Operations, you will enhance sales analytics by utilizing SQL, Tableau, Metabase, and Snowflake to analyze and report on sales performance, forecast data, and operational metrics. You will create dashboards and perform customer segmentation analysis while identifying opportunities for data-driven improvements and automating workflows. Collaboration with senior leadership and team members is essential for success.
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