Medtronic
Healthcare
AdvancedAnalyticsManager(FinanceAnalytics)
Neural analysis suggests this role is
optimal for Manager candidates.
“Advanced Analytics Manager(Finance Analytics) at Medtronic. Skills: Finance Analytics, Data Engineering, Power BI, SQL. Develop AI-driven analytics. Operationalize machine learning models”
Industry & Context.
Data-driven decision making
4-5 days/week US overlap
What They're Looking For.
Must Have
8+ years Finance Analytics experience, 8+ years Business Intelligence experience, 8+ years Data Engineering experience, Degree in Finance or Engineering, Power BI data modeling, Power BI DAX expertise, SQL / Snowflake data warehousing, Financial processes understanding, Own end-to-end analytics solutions
Nice to Have
MBA in Finance preferred, Power Apps experience, Power Automate experience, Workflow automation tools experience, Python familiarity, Spark familiarity, Advanced analytics use cases, ML use cases, SAP experience, OneStream experience, ERP systems experience, Communication skills, Storytelling skills, Senior stakeholder communication, Proactive mindset, Passion for automation, Passion for simplification, Passion for digital transformation, Organizational ability, Time-management ability, Manage multiple priorities
What You'll Do.
Develop AI-driven analytics
Operationalize machine learning models
Integrate models into Power BI dashboards
Enable predictive insights
Enable prescriptive insights
Design Power BI dashboards
Develop Power BI dashboards
Maintain Power BI dashboards
Optimize data pipelines
Perform deep-dive financial analysis
Collaborate with finance leaders
Collaborate with business stakeholders
Translate requirements into solutions
Act as bridge between finance and technology
Ensure alignment on data definitions
Ensure alignment on KPIs
Support strategic initiatives
Perform ad hoc analysis
Perform scenario modeling
Lead team of analysts
Lead team of engineers
Establish data governance best practices
Enforce data governance best practices
Establish reporting standards
Enforce reporting standards
Establish analytics design best practices
Enforce analytics design best practices
Drive continuous improvement
Drive automation across finance analytics
How You'll Work.
Team & Collaboration
Finance teams; Data Science teams; Engineering teams; Finance leaders; Business stakeholders
Communication Scope
Storytelling
Full Job Description
At Medtronic you can begin a life-long career of exploration and innovation, while helping champion healthcare access and equity for all. You’ll lead with purpose, breaking down barriers to innovation in a more connected, compassionate world. # **A Day in the Life** As an Advanced Analytics Manager (Finance Analytics Hands-On) in the Reporting, Analytics & Insights (RAI) COE within Global Finance, you will play a critical role in driving end-to-end finance analytics, data engineering, and reporting solutions while actively contributing as an individual contributor. This role is designed for a techno-functional leader who combines strong finance acumen (FP&A, P&L, forecasting) with deep expertise in data, analytics, and visualization tools. You will not only lead initiatives but also personally build dashboards, data pipelines, and analytical models that enable data-driven decision-making across the organization. You will work closely with Finance, Data Science, and Engineering teams to develop interactive visualizations that drive data accessibility. This role requires an average of 4-5 days per week of overlapping working hours with the U.S. team to ensure seamless collaboration. **Responsibilities may include the following and other duties may be assigned:** * Embed AI-driven analytics and decision intelligence by developing and operationalizing machine learning models (e.g., revenue forecasting, anomaly detection, and scenario simulation) and integrating them into Power BI dashboards and finance workflows to enable predictive and prescriptive insights. Hands-On Analytics & Delivery (60–70%) * Design, develop, and maintain Power BI dashboards and financial reports with strong data modeling and DAX expertise. * Build and optimize data pipelines and transformations using SQL, Snowflake, or similar platforms. * Perform deep-dive financial analysis (revenue, margin, cost, forecasting, variance analysis). Stakeholder & Business Partnering (20–30%) * Collaborate with fi
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