Top Senior Analysis Reporting Jobs in Minneapolis, MN

Designs and develops scalable Azure and Databricks data pipelines using Python, PySpark, Spark, Delta Lake, ADF, and ADLS. Partners with AI and Data Science teams to operationalize machine learning models, feature stores, and streaming analytics. Builds reusable automation frameworks, ensures data quality, governance, security, and compliance, and optimizes batch and streaming workflows. Participates in Agile delivery, CI/CD, code reviews, production support, and responsible AI implementation.

Build trusted, secure, and repeatable data pipelines, transformations, data products, retrieval layers, and semantic data assets. Assess data quality, lineage, governance, privacy, and access constraints; support AI retrieval, embeddings, vector stores, and grounding strategies. Create test and de-identified datasets, implement monitoring and quality checks, document data assets, and ensure reliable data for AI products, control-group testing, and production handoff.

Analyzes account portfolio whitespace, pipeline, deal performance, campaign attribution, rep productivity, budgets, forecasts, and expenses. Builds models and executive reporting to improve revenue planning, forecast accuracy, and account management decisions. Partners with Account Management, Finance, Marketing, Contract Administration, and regional leaders; validates Salesforce data and translates complex findings into actionable recommendations.

Lead design and implementation of data architecture for healthcare systems, influence stakeholders, mentor teams, ensure regulatory compliance, enable data integration and transformation, and apply AI techniques to improve healthcare operations and reporting.

Design, build, and maintain scalable ETL/ELT pipelines and data warehouse architecture. Partner with cross-functional teams to define KPIs, ensure data quality and governance, own billing data infrastructure, and deliver dashboards and analytics for leadership while mentoring peers.

Designs and governs enterprise data architecture across Azure, Microsoft Fabric, OneLake, Dynamics 365 F&O, and Dataverse. Establishes architecture standards, patterns, governance, data modeling, integration, metadata, lineage, data quality, and master data practices. Defines current, transition, and future-state architectures; guides implementation with engineering teams; evaluates technologies; resolves complex technical issues; mentors engineers; and reduces technology complexity and technical debt.

Build GCP data pipelines, ETL/ELT processes, integrations, data models, and analytics solutions. Support AI/ML development with Vertex AI and Gemini, including MLOps, prompt engineering, embeddings, and RAG experimentation. Participate in client requirements gathering, technical implementation, data governance, quality, security, monitoring, and documentation while collaborating with senior engineers and architects.

Mobile Analyst role requiring 6+ years experience. Candidate must have strong SQL skills and experience with DOMO, Snowflake, and Adobe Analytics (or similar). Position is located in Shakopee, MN, 12+ month duration, and restricted to U.S. citizens/local candidates.

Leads enterprise reporting, analytics, data integration, and process automation initiatives. Acquires and integrates data from multiple sources, performs complex analysis, identifies trends, develops actionable recommendations, and presents findings through clear reports and visualizations. Collaborates with business partners, monitors outcomes, ensures data governance compliance, and supports large-scale reporting environments.

Leads enterprise analytics initiatives, partnering with senior leaders to define business questions, analyze complex datasets, conduct experimentation, develop dashboards, automate reporting, and deliver data-driven recommendations. The role influences growth, customer experience, operations, risk, technology, and banking decisions while mentoring analysts and advancing enterprise analytics capabilities.

Analyzes complex marketing, healthcare, and digital datasets to generate actionable insights, dashboards, campaign KPIs, ROI and attribution models. Develops predictive analytics, machine learning, AI applications, and customer segmentation models to improve HCP engagement and marketing performance. Supports data governance, accessibility, compliance, and responsible AI practices while partnering with marketing, sales, legal, compliance, and IT teams.

Design, implement, and maintain cloud-based data pipelines; integrate disparate data sources; optimize data lakes/warehouses and Spark workflows; automate Quote-to-Cash/Quote-to-Fulfillment processes; collaborate with platform, analytics, and business stakeholders to deliver scalable, reliable data solutions while ensuring data quality and security.