Top Senior Analysis Reporting Jobs in Minneapolis, MN

Leads customer intelligence analytics, survey design, A/B testing, predictive modeling, forecasting, and customer behavior analysis. Develops SQL-based data models and reporting using Excel, Tableau, Python, or R; translates complex findings into strategic recommendations for revenue, loyalty, marketing, and network planning. Presents insights to executives, mentors junior analysts, improves analytical processes, and manages multiple high-impact projects.

Leads workforce intelligence and productivity analytics for Arctic Wolf’s Security Services organization. Builds productivity, capacity, cost-to-serve, savings realization, and ROI frameworks; identifies operational inefficiencies; and provides executive reporting to guide staffing, automation, product priorities, and organizational scaling. Partners with Finance, Product, Data Science, and Engineering to measure business outcomes and validate productivity improvements. Requires advanced analytics, AI/ML modeling, SQL, BI tools, and experience in 24x7 operational environments.

The Data and Analytics Manager partners with stakeholders to gather reporting requirements, build Power BI or similar dashboards, manage data quality and governance, and deliver actionable business insights. The role oversees data modeling, SQL queries, ETL/ELT collaboration, documentation, reporting intake, user training, and vendor coordination. It also supports data infrastructure improvements, ensures privacy and security compliance, and may mentor junior analysts.

Provide financial and statistical analysis, deliver scheduled and ad-hoc reports, reconcile trustee and cash reports, maintain loan assets in WSO, track ratings, and act as liaison among business, trustees, and vendors to support project implementation and reporting accuracy.

Leads Employee Benefits sales reporting, commercial insights, and broader data strategy. Establishes KPIs, dashboards, governance, prioritization models, trusted data sources, and multiyear roadmaps. Partners with business, Technology, Enterprise Data, Analytics, and AI teams to translate needs into capabilities, improve reporting adoption, and support data-driven decisions. The role begins as a highly visible individual contributor with potential to build a reporting and data strategy team.

Designs and develops enterprise data engineering solutions, pipelines, integrations, and resilient software platforms. Leads architecture, technology strategy, DevOps, incident resolution, vendor evaluation, engineering standards, and cross-team collaboration. Provides technical leadership and mentorship while working with big data, cloud, streaming, data warehousing, CI/CD, infrastructure as code, and modern data stack technologies.

Leads geospatial and GIS projects using the Esri platform to create maps, dashboards, spatial analyses, and field data solutions. Manages spatial data quality, project budgets, timelines, client relationships, proposals, and multidisciplinary deliverables. Advises clients on geospatial technologies and serves as a GIS project lead while supporting environmental assessments, infrastructure, permitting, and resource-planning projects.

Leads a data engineering team responsible for designing, developing, testing, deploying, and maintaining scalable data products and platforms. Sets technical direction, manages team performance and development, establishes engineering standards, and oversees data quality, security, governance, and operational excellence. Partners with product owners, enterprise architecture, information security, data governance, and business stakeholders to deliver data solutions. Defines team strategy and roadmap, evaluates emerging technologies, and communicates metrics and progress to senior leadership.

Leads end-to-end data engineering solutions across multiple client engagements, from discovery and architecture through production support. Designs and optimizes Snowflake data platforms, models, warehouses, ELT/ETL pipelines, APIs, integrations, and deployments. Provides technical leadership, client communication, estimation, governance, performance and cost management, engineering standards, mentoring, training, and production escalation support.

Defines and evolves enterprise data architecture supporting analytics, reporting, governance, integration, and AI capabilities. Designs scalable Lakehouse and Medallion architectures, data models, contracts, APIs, and event-driven integrations. Establishes governance standards and trusted data products while aligning platform investments with business and regulatory needs. Leads modernization initiatives, develops data strategy and roadmaps, supports KPI frameworks, mentors technical talent, and guides distributed engineering teams.