IoT Data Analyst — Predictive Insights & Dashboards

Envista Holdings Corporation; Quakertown (Bucks County); On-site; USD 109,000 - 133,000; Full time

Benefits offered by this job

Annual bonus

Benefits package

401K match

Job summary

Envista is seeking an IoT Data Analyst to leverage connected-device data from DEXIS equipment globally to generate insights that boost customer experience, improve operations, and drive revenue. You will partner with Engineering, Product, Sales, and Customer Support to turn complex IoT data into dashboards, reports, and predictive insights.

Responsibilities include identifying trends, developing KPIs, and enabling data-driven decisions across the organization, with up to 10% travel.

Qualifications

• Bachelor's degree in Business Analytics, Data Analytics, Information Systems, Statistics, Engineering, or related field; equivalent experience considered.
• 3-5 years of experience in data analytics, business intelligence, reporting, or commercial operations.
• Experience with BI platforms such as Tableau, Power BI, or similar platforms.
• Experience analyzing large datasets.
• Advanced Excel skills.
• Experience working with CRM systems.
• Experience supporting global stakeholders and cross-functional teams within Sales, Marketing, Operations, Engineering, and Customer Support functions.

Responsibilities

• Leverage IoT equipment data to identify trends, opportunities, and actionable insights that improve customer experience, operational efficiency, and revenue growth.
• Demonstrate ability to leverage AI, machine learning and advanced analytics tools to accelerate experience managing, querying, and analyzing large-scale datasets within cloud-based data platforms such as AWS, Snowflake, Databricks or similar enterprise data environments.
• Proficiency in data engineering and analytics programming languages to translate complex data into measurable business outcomes and influence commercial decisions.
• Experience transforming large-scale IoT, device telemetry and customer usage data into actionable insights through ETL/ELT processes, collaborating with subject matter experts to identify trends, improved customer outcomes, optimize support operations and uncover revenue growth opportunities.
• Demonstrate ability to leverage AI, machine learning and advanced analytic tools to accelerate insight generation, automate workflows and improve business decision-making.
• Partner with Engineering, Product Management, Sales, Commercial Operations, and Customer Support teams to translate business needs into data-driven solutions and recommendations.
• Integrate and analyze data from multiple sources, including IoT, CRM, ERP, and business intelligence platforms, to improve decision-making and reporting capabilities.
• Conduct root cause analysis and identify opportunities for process improvements, customer engagement, and commercial growth.
• Monitor and improve data quality through validation, anomaly detection, and ongoing governance practices.
• Define, track, and communicate project and business performance metrics to measure the impact of IoT-driven initiatives.
• Manage ad hoc analytical requests and present findings and recommendations to stakeholders across the global organization.
• Support the development of predictive and proactive insights that help identify customer needs and potential revenue opportunities.
• Travel up to 10% as business needs require.

Skills

IoT analytics

SQL

Python

Tableau

Power BI

CRM experience

Advanced analytics

Education

Bachelor's degree in related field

Tools

AWS

Snowflake

Databricks

Job description

Envista is seeking an IoT Data Analyst to leverage connected-device data from DEXIS equipment globally to generate insights that boost customer experience, improve operations, and drive revenue. You will partner with Engineering, Product, Sales, and Customer Support to turn complex IoT data into dashboards, reports, and predictive insights.

Responsibilities include identifying trends, developing KPIs, and enabling data-driven decisions across the organization, with up to 10% travel.