Job Description

What You'll Do

As a Commercial Data Insights Analyst, you will bridge business needs and analytical solutions to support data-driven decision making across Technical Support and related service organizations.

Primary Impact

Drive operational excellence and customer experience improvements by transforming support and service data into actionable insights, business requirements, and performance-enhancing recommendations.

Key Responsibilities

• Analyze Technical Support and Field Service data to identify trends, patterns, root causes, anomalies, and opportunities to improve operational performance and customer outcomes.
• Develop and maintain recurring and ad hoc reporting solutions that measure key operational metrics, including support volume, backlog, response times, resolution times, service level performance, escalation rates, reopen rates, and first-contact resolution.
• Evaluate performance across products, customer segments, regions, issue types, support channels, priority levels, and service tiers to uncover meaningful business insights.
• Deliver fact-based recommendations that improve support effectiveness, workforce planning, customer satisfaction, and operational efficiency.
• Translate business challenges and stakeholder needs into clear business requirements for reporting, systems enhancements, and process improvements.
• Partner closely with Technical Support leadership, CDIA, IT, Data Engineering, and Reporting teams to ensure analytics solutions align with business objectives.
• Create executive-ready dashboards, presentations, scorecards, and analyses that support operational reviews and strategic decision making.
• Monitor customer experience indicators, including CSAT, NPS, customer effort, and support-related feedback, to identify improvement opportunities.
• Support AI and data science initiatives through data preparation, exploratory analysis, feature evaluation, and interpretation of analytical outputs.
• Collaborate across Commercial Analytics functions, contributing insights that support Sales, Finance, Customer Success, Implementation, and other commercial business areas.

Who You Are

You are a curious and analytical problem solver who enjoys transforming data into business value. You combine strong technical capabilities with excellent communication skills and thrive in highly collaborative, cross-functional environments.

Minimum Qualifications

• Bachelor's degree in Analytics, Business, Statistics, Information Systems, Economics, or a related field.
• Minimum of 2 years of experience in Data Analytics, Business Intelligence, Market Insights, Commercial Analytics, or a related analytical discipline.
• Proficiency in SQL and/or statistical programming languages such as Python or R for querying, transforming, and analyzing data.
• Experience working with structured operational, commercial, service, CRM, sales, or financial datasets.
• Experience creating clear analytical outputs including dashboards, visualizations, summaries, and business recommendations.
• Familiarity with business intelligence and data visualization platforms such as Power BI or Tableau.
• Demonstrated interest in applying generative AI tools and techniques to improve analytical processes and business outcomes.
• Strong attention to detail with the ability to identify, investigate, and resolve data quality issues.
• Excellent written and verbal communication skills with the ability to present findings to business stakeholders and leadership.
• Ability to manage multiple priorities and projects in a fast-paced, evolving environment.

Preferred Qualifications

• Experience supporting Technical Support, Customer Service, Field Service, Customer Success, or other service operations functions.
• Experience working with service, incident, case management, CRM, or ticketing datasets.
• Knowledge of platforms such as Salesforce, SAP C4C, Gainsight, ServiceNow, or similar solutions.
• Understanding of support and service metrics including SLA compliance, backlog aging, escalation rates, first-contact resolution, mean time to resolution, and customer satisfaction measures.
• Experience utilizing customer feedback and survey management platforms.
• Experience within healthcare, medical device, medication management, or other regulated industries.
• Familiarity with cloud-based data environments such as Databricks, Snowflake, Microsoft Fabric, or similar technologies.
• Experience developing executive-level presentations, scorecards, and operational performance reporting.

How You'll Elevate at Omnicell

At Omnicell, success is defined not only by the results you deliver but also by how you achieve them. As a Commercial Data Insights Analyst, you will demonstrate our Elevate Behaviors every day:

Collaborate

Build strong partnerships across Technical Support, IT, Data Engineering, Customer Success, and Commercial teams to develop analytics solutions that address shared business goals.

Inspire

Communicate insights in a compelling and actionable way, helping stakeholders make informed decisions and embrace data-driven strategies.

Develop

Continuously strengthen your analytical, technical, and AI capabilities while sharing knowledge and best practices that help elevate team performance.

Execute

Take ownership of analytical projects, establish priorities, maintain high standards of data quality, and consistently deliver meaningful business outcomes.

Impact

Leverage data, technology, and innovation to improve customer experience, optimize support operations, and contribute to Omnicell's mission of advancing healthcare outcomes.

Work Conditions

• Flexible remote or hybrid work environment.
• Occasional travel may be required for collaboration with corporate teams, business stakeholders, or participation in industry events.