Top Data & Analytics Jobs in Minneapolis, MN
The Oracle Cloud Financials Analyst is responsible for working with clients to understand their financial management needs, designing solutions using Oracle Fusion Financials, configuring applications, conducting testing, overseeing data migration, and training users on new systems. Post-implementation support is also a key responsibility.
The Senior Compensation Analyst will design and oversee compensation programs including salary structures and merit matrices. Responsibilities involve analyzing compensation trends, collaborating with HR, preparing SEC documents, and managing budget and compensation processes. The role requires a strong analytical background and experience in compensation compliance and strategy.
The Data Analyst will leverage Power BI and data analysis skills to provide actionable insights for HR and business decisions. Responsibilities include conducting ad-hoc analyses, generating predictive insights, developing reports and dashboards, and collaborating with various teams to enhance decision-making based on employee data and trends.
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The Senior Data Engineer will architect and construct a new version of the data services platform, improve and maintain data services, ensure data governance, and integrate third-party tools into a scalable platform, while enhancing system performance and reliability.
As a Data Engineer at Roofstock, you will architect and construct the Data Services 2.0 platform, improve the data services platform, ensure data governance, develop effective architectures, and integrate third-party tools for optimized performance.
The Senior Data & AI Specialist at IOTA will lead data analysis, model development using machine learning, and product strategy development. Responsibilities include data visualization, cross-functional collaboration, and process optimization to enhance data management and insights.
As a Junior Customer Data Scientist at Recast, you will develop automated data pipelines in R, perform data analyses, and present results to clients. You will work on understanding complex statistical models and contribute to measuring marketing effectiveness for major brands.
As an Applied Statistical Modeler, you will help customers build media mix models using the Recast platform, focusing on practical Bayesian statistical modeling. Your role includes diagnosing modeling issues, collaborating with research statisticians, and understanding customer challenges.
As a Marketing Data Scientist, you will perform complex data analyses, onboard clients to Recast's platform, develop and manage data pipelines in R, and improve efficiency within the data science team. You will present analysis results to clients, work with marketing teams, and contribute to product direction and strategy.
The Senior Data Scientist will conduct research and develop advanced machine learning models to solve complex business problems while collaborating with cross-functional teams. Responsibilities include mentoring junior data scientists, integrating models into products, communicating results to stakeholders, and staying updated on industry trends.
The Learning Community Experience Analyst will support the delivery of high-quality educational experiences, enhance learner engagement, and improve graduation rates through operational support, data analysis, and program coordination. Responsibilities include maintaining dashboards, conducting data analysis, and assisting learners with program-related queries.
Join Sand Technologies for a one-year Graduate Programme designed for aspiring data practitioners and software engineers. This program offers comprehensive training in essential tools and technologies, providing hands-on experience to prepare you for a successful career in the tech industry without requiring prior work experience.
The Tax Technology Analyst will focus on tax technology design and implementation, including configuring tax compliance in NetSuite ERP and utilizing the AvaTax platform. Responsibilities include researching tax content, integrating APIs, troubleshooting tax issues, conducting audits, and identifying process improvements. The role also involves documenting project work and assisting the Tax Manager with tax requirements and solutions.
As a Staff Machine Learning Engineer, you will design and implement ML systems for security applications, lead technology development, and collaborate with engineers and data scientists. You'll assess problems suitable for ML and guide design decisions to optimize solutions involving Edge IoT devices and Cloud Services.
The Technical Analyst will design, implement, and optimize Salesforce solutions, collaborating with business stakeholders and engineering teams. Responsibilities include analyzing requirements, providing technical advice, leading solution design, and participating in Salesforce customization and configuration.
Top Companies in Minneapolis, MN Hiring Data + Analytics Roles
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