IoT Data Analyst: AI-Driven Insights & Dashboards

DEXIS

Quakertown (Bucks County)

On-site

USD 109,000 - 133,000

Full time

9 days ago

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Benefits offered by this job

Annual bonus
Medical/dental/vision benefits
401K match

Job summary

DEXIS, part of Envista, is seeking an IoT Data Analyst to turn connected-device telemetry from global DEXIS equipment into actionable insights. You will partner with Engineering, Product, Commercial Operations, Sales, and Support to deliver dashboards and predictive insights that improve customer experience and drive revenue.

The role requires 3–5 years in data analytics and BI, expertise in Tableau/Power BI, SQL/Python, and experience handling large datasets in cloud platforms.

Qualifications

  • Bachelor's degree in a related field; equivalent experience considered.
  • 3–5 years in data analytics, business intelligence, reporting, or commercial operations.
  • Experience with BI platforms such as Tableau or Power BI and large datasets.

Responsibilities

  • Leverage IoT data to identify trends and opportunities for insights.
  • Develop dashboards and automated reporting for multiple stakeholders.
  • Apply AI/ML tools to accelerate insight generation.
  • Translate business needs into data-driven solutions with cross-functional teams.
  • Ensure data quality and governance across sources.
  • Travel up to 10% as business needs require.

Skills

Data analytics
Business intelligence
Reporting
Cross-functional collaboration

Education

Bachelor's degree in Science or related field

Tools

Tableau
Power BI
SQL
Python
Scala

Job description

DEXIS, part of Envista, is seeking an IoT Data Analyst to turn connected-device telemetry from global DEXIS equipment into actionable insights. You will partner with Engineering, Product, Commercial Operations, Sales, and Support to deliver dashboards and predictive insights that improve customer experience and drive revenue.

The role requires 3–5 years in data analytics and BI, expertise in Tableau/Power BI, SQL/Python, and experience handling large datasets in cloud platforms.

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