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Data Analytics Manager
Not specifiedFull-timeBusiness IntelligenceMedical Devices
Lead hands-on analytics across connected-device, customer, commercial, and enterprise data. Build trusted analytics tools and turn findings into actionable insights that support business decisions and customer value.
Responsibilities
- Develop understanding of connected-device data, business logic, and KPI definitions; work with AWS and enterprise data sources.
- Partner with BI teams to define data requirements and improve trusted metrics, data models, quality, reliability, and usability.
- Identify opportunities to apply AI-enabled solutions to data infrastructure and analytics workflows.
- Design, build, maintain, and improve dashboards and analytics solutions.
- Explore IoT, enterprise, customer, and business datasets to identify trends, anomalies, and opportunities.
- Connect findings across data sources to understand customer behavior, business performance, and commercial opportunities.
- Translate complex analysis into clear insights and proactively communicate findings to stakeholders.
- Partner with commercial teams on customer engagement, sales narratives, and data-driven sales tools.
- Measure the impact of data-driven initiatives and refine them based on results.
- Drive adoption of analytics tools, train business users, and promote data-informed ways of working.
Requirements
- Strong experience in business intelligence, business analytics, data analytics, or a similar role.
- Strong SQL skills and ability to independently explore complex datasets.
- Hands-on experience building and maintaining dashboards and analytics solutions using QuickSight, Power BI, Qlik, or similar platforms.
- Ability to understand complex data structures, relationships, business logic, and KPI definitions.
- Demonstrated curiosity and ability to independently uncover meaningful insights.
- Business acumen and ability to connect data findings to business opportunities and actions.
- Strong data visualization and storytelling skills.
- Strong communication and stakeholder-management skills across technical and non-technical audiences.
- Ability to drive adoption and influence without formal authority.
- Proactive, independent approach and comfort working in an evolving data environment.
Nice to have
- Experience with IoT, connected-device, or product-usage data.
- Experience with AWS, S3, Amazon QuickSight, or Qlik.
- Experience with Salesforce or SAP data.
- Experience in medical devices, healthcare, SaaS, or businesses with a large connected installed base.
- Experience with customer-engagement or commercial analytics.
- Experience applying AI, machine learning, or generative AI to data infrastructure, analytics workflows, or business intelligence.
- Python or other analytical programming experience.
- Experience in a global organization.