Top Senior Analytics Jobs in Minneapolis, MN

Leads governance and lifecycle management for financial crimes and sanctions screening models, including AI-enabled solutions. Responsibilities include model documentation, monitoring, controls, performance analysis, change management, issue remediation, regulatory support, audit coordination, and AI governance. Partners with risk, technology, operations, data, and audit stakeholders while presenting model effectiveness, risk assessments, and remediation updates to leadership and regulators.

Collects, processes, and analyzes complex datasets to produce actionable insights, automated reports, dashboards, and visualizations. Partners with cross-functional teams to ensure data accuracy, integrity, and effective decision-making. Performs statistical analysis, validates data, improves reporting processes, and coaches stakeholders on data consumption. Preferred experience includes applying AI tools, developing AI-enabled solutions, translating business needs into AI use cases, and following responsible AI practices.

Manage client data, analytics, and AI managed-services workstreams. Develop data pipelines, dashboards, reporting, and analytics outputs; remediate data-quality issues; tune AI models and platform components; and improve data operations, observability, and reporting workflows. Collaborate with clients to translate business needs into data solutions, interpret insights, review deliverables, and mentor junior team members.

Leads client managed services engagements involving data, analytics, and AI operations. Oversees project planning, budgets, timelines, data quality, master data management, pipelines, platform maintenance, model tuning, and performance monitoring. Translates business requirements into data solutions, reviews deliverables, manages risks, and coaches team members while promoting AI-enabled automation and adherence to professional standards.

Supports an internally developed financial application processing healthcare data for accounting and journal entries. Analyzes clinical practice management and financial data, develops complex SQL and stored procedures, investigates data issues, and supports integrations, validation, reconciliation, reporting, and production processes. Translates business needs into technical requirements, mappings, testing plans, and documentation while improving data quality, controls, automation, and governance. Partners across Finance, Accounting, Revenue Cycle, Analytics, Engineering, and Technology, providing technical leadership without direct people management.

Leads an analytics and reporting team supporting a Medicaid Enterprise Data Warehouse. Oversees reporting delivery, dashboards, governance, data quality, compliance, resource planning, and continuous improvement. Partners with government stakeholders and technical teams to translate business needs into reliable analytics solutions, manage service-level commitments, and provide strategic guidance on reporting modernization and data-driven decisions.

Leads a client-facing healthcare analytics team that designs and maintains prior authorization decision automation programs. Consults PaaS clients, develops strategic roadmaps, translates requirements into technical blueprints, analyzes authorization and claims data, and builds KPI reports using visualization tools. Manages direct reports, improves analytics processes and AI tooling, partners with product and engineering teams, and ensures automation outcomes and client KPIs are achieved.

Designs and maintains scalable data infrastructure, ETL/ELT pipelines, canonical datasets, and AI context layers. The role improves data quality and alignment across sales and finance systems, investigates data inconsistencies, leads requirements through UAT and implementation, supports analytics self-service, and partners with cross-functional teams to deliver process improvements and reliable business data.

Leads a team delivering real estate planning analytics, dashboards, reporting, and insights. Sets the analytics roadmap, modernizes technology through automation and AI, partners with executives and technical teams, and translates business needs into strategic recommendations. The role supports workplace portfolio decisions, occupancy strategy, and workforce location forecasting while requiring SQL, data warehouse, visualization, stakeholder management, and people leadership expertise.

Own marketing measurement from initial engagement through closed-won revenue. Manage cross-channel reporting tied to Salesforce pipeline, tracking across GA4, advertising platforms, SEO, and AI search. Validate multi-touch attribution, analyze marketing experiments, model budget impact, and recommend investment priorities. Present performance insights to marketing and sales leadership across global regions.

Build Deepgram’s governed decision layer above warehouse gold tables. Responsibilities include modeling cross-system entities, owning semantic and metrics definitions, creating agent-facing data tools and MCP surfaces, implementing data quality assertions and reconciliation checks, evaluating AI agent accuracy, and answering business questions while leaving reusable models behind. The role requires production-grade SQL and Python, semantic-layer ownership, strong data modeling judgment, AI-native workflows, clear writing, and comfort building infrastructure from scratch.

Leads enterprise data and analytics strategy, architecture, modernization, and delivery across cloud and on-premises environments. Oversees data platforms, engineering, integration, governance, quality, lineage, security, and compliance. Partners with executives to define roadmaps and investments, manages cross-functional teams and vendors, enables AI/ML capabilities, and mentors data professionals while driving scalable, trusted data solutions and measurable business outcomes.

Develop and execute revenue growth analyses covering pricing, promotions, price-pack architecture, product mix, and trade terms. Identify revenue and profit opportunities using shopper, customer, market, competitive, and promotional insights. Partner with Sales, Marketing, Finance, and Supply Chain on commercial planning, pricing cycles, scenario modeling, and promotional ROI. Scale analytical frameworks internationally and support the evolution of RGM tools, operating models, and decision-making routines.

Manages programmatic analytics and insights for client accounts, leading measurement frameworks, brand lift studies, incrementality testing, and A/B experiments. Develops media and campaign strategies, communicates performance insights to clients, and supports pitches and QBRs. Oversees, mentors, and develops analysts while partnering with Product, Engineering, Sales, and Customer Success teams to improve measurement tools, campaign optimization, and analytical capabilities.

Develops credit card analytics strategies to grow partner relationships and customer engagement. Integrates and analyzes large data sets, applies statistical techniques and predictive modeling, builds secure data environments, evaluates measurement tools, and delivers actionable insights. Leads dashboard and performance metric development while collaborating with marketing, product, analytics, vendors, and other cross-functional teams.

Owns fraud performance analytics for depository products, including monitoring losses, approval rates, false positives, customer friction, and risk metrics. Builds data models, transformation pipelines, dashboards, scorecards, and monitoring frameworks. Conducts fraud deep dives and develops optimized rules, policies, thresholds, models, and decision strategies. Partners with Product, Engineering, Machine Learning, Data Engineering, Fraud Operations, and Risk teams to improve fraud detection and support product launches.

Leads analytics strategy and technical delivery for clients, specializing in Adobe Analytics and Customer Journey Analytics. Conducts measurement workshops, defines KPI and implementation strategies, oversees tagging and data quality, guides experimentation, and reviews dashboards and insights. Advises senior stakeholders, manages and mentors consultants, supports proposals and account growth, and contributes to Adobe Experience Platform initiatives involving Target, RT-CDP, and AJO.

Leads a team of analysts delivering spend, sourcing, contracting, and performance insights. Directs complex analyses, develops scalable analytics solutions, guides data storytelling, and partners with business, analytics, and technology teams on strategic initiatives. The role drives standardization, automation, performance measurement, and actionable recommendations while coaching analysts and translating complex data into business value.

Provides customized healthcare analytics and insights using procedural, supply utilization, cost, outcomes, and performance data. Conducts advanced comparative analyses, identifies improvement opportunities, translates findings into recommendations, presents results to clients and leaders, facilitates requirements meetings, ensures accurate reporting, and contributes to mentoring and best practices. Requires healthcare analytics experience, advanced Excel and SQL proficiency, and strong communication and problem-solving skills.

Leads complex healthcare analytics projects using clinical, administrative, claims, and related datasets. Develops advanced SQL queries, analytical methodologies, cohorts, outcomes, and segmentation approaches; investigates data anomalies; translates client needs into analytic requirements; validates deliverables through quality assurance; and collaborates with consultants, statisticians, and subject matter experts to produce actionable insights for strategic decisions, clinical quality improvement, and real-world evidence.

Lead analytics, reporting, and data warehouse strategy for Respiratory Health. Build KPI frameworks, oversee data governance and quality, translate business needs into scalable data solutions, drive advanced analytics/AI initiatives, and manage a high-performing BI and data enablement team while partnering with IT, Finance, and Operations.

Build and lead Surescripts’ commercial analytics function, including governed Salesforce and CRM data models, KPI definitions, dashboards, forecasting, pipeline analytics, customer journey insights, automated reporting, quota modeling, and territory planning. Manage an analyst and partner with Sales, Marketing, Finance, Data, and Business Applications. Present actionable recommendations to senior leaders while improving data quality and enabling self-service analytics.

Own end-to-end production data platforms, writing Python and SQL, designing AWS pipelines, modeling analytics data, and implementing quality and reconciliation controls. Make architecture decisions independently, ensure correctness and auditability, and use AI coding tools effectively. The role also supports applied AI initiatives including entity resolution, LLM-assisted analytics, embeddings, and anomaly scoring.

Leads and scales the Growth Product Insights data practice, managing and mentoring data analysts while contributing hands-on analytical work. The role drives proactive insights, experimentation, causal inference, cohort modeling, KPI development, and strategic recommendations for product and growth leaders. It also strengthens data quality and metric governance, partners with engineering teams on complex pipelines and event data, and integrates modern analytics and generative AI tools into team workflows.

Leads actuarial technology and reporting initiatives, expanding adoption of the Actuarial Technology Platform. Designs and implements process improvements for financial reporting and pricing, develops process maps, supports legacy actuarial solutions, and promotes AI-enabled analytics. Collaborates with actuarial data, enterprise analytics, and platform teams while providing technical leadership, governance, issue resolution, training, and mentorship.