About The Role

Function: Product Management

Reports To: Sr Director, Cloud Platform

Are you...

Interested in using data to help shape product and business decisions?
Passionate about turning complex data into clear insights and intuitive Power BI dashboards?
Curious about how customers use products and excited to uncover trends, patterns, and opportunities in the data?

If so, we'd love to meet you.

Why Esko?

Esko, part of Veralto (NYSE: VLTO), is the global leader in packaging and product lifecycle solutions. More than 25,000 customers across 140+ countries rely on Esko to design, manage, manufacture, and deliver products found on store shelves every day. Packaging for 9 out of 10 major consumer brands is managed using Esko solutions. As we enter our next phase of growth, we're making significant investments in cloud, AI, and platform engineering to build the future of product innovation.

Our vision is to create the industry's leading AI-native Product Intelligence Platform. This modern, multi-tenant cloud platform unifies product, packaging, regulatory, quality, manufacturing, and supply chain data into a single intelligent ecosystem. By combining cloud-native architecture, intelligent automation, and AI-powered insights, we're helping global consumer goods, life sciences, and manufacturing companies innovate faster, improve compliance, reduce waste, and bring products to market with greater speed and confidence.

About the Role

Data is increasingly central to how our Product, Engineering, and Design organization sets priorities and measures progress. We are looking for a Junior Data Analyst to help build the analytics foundation that enables teams and leaders to make confident, evidence-based decisions.

You will work across product, engineering, design, and commercial teams to turn data into clear, trusted insights. A key part of the role will be helping build our product usage analytics capability - transforming product telemetry and usage data into Power BI dashboards that help teams understand adoption, engagement, feature usage, and customer behavior.

This is a high-impact opportunity for an early-career analyst who is curious about how products and businesses work and wants to grow by solving real-world problems with data.

What You Will Do

Define meaningful metrics: Partner with product, engineering, design, and commercial teams to understand their questions and translate them into measurable KPIs.
Turn data into insight: Analyze product, engineering, delivery, and commercial data to identify trends, opportunities, and areas requiring attention.
Build product usage analytics: Turn product telemetry and usage data into metrics and insights that help teams understand adoption, engagement, feature usage, and customer behavior.
Communicate the story: Present findings clearly to technical and non-technical audiences, connecting data and usage patterns to product and business decisions.
Improve and automate analytics: Validate data quality and improve recurring analytics and reporting so insights are timely, reliable, and scalable.

Required Experience

Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or relevant field.
2–4 years of experience in data analytics, business intelligence or a related role (including relevant academic projects and internships).
Strong understanding of statistics, probability, hypothesis testing, and data modeling.
Experience using Python for data analysis and manipulation.
Working knowledge of SQL for querying, transforming, and analyzing structured data.
Strong experience visualization tools such as Power BI, Tableau or related tools
Understanding of data models, data pipelines, and ETL/ELT concepts.
Strong attention to detail and a commitment to data quality and accuracy.
Ability to translate business questions into structured analyses and actionable insights.
Clear communication skills and the ability to collaborate with technical and non-technical stakeholders across teams and time zones.

Preferred Experience

Experience working with SaaS product telemetry or usage analytics, including metrics such as active users, adoption, engagement, feature usage, and retention.
Exposure to engineering and delivery metrics such as DORA metrics, Jira, or Azure DevOps data.
Exposure to commercial analytics such as customer adoption, sales, retention, or usage data.
Familiarity with cloud data platforms or data warehouses such as AWS, Snowflake, Azure, or BigQuery.
Experience analyzing software development lifecycle (SDLC) data, including the impact of AI-enabled development tools on engineering efficiency, quality, and delivery metrics.

What Success Looks Like

Within your first year, you will have

Helped establish consistent definitions and reporting for important product, engineering, and business metrics.
Turned product telemetry and other data into insights that influence product priorities and decisions.
Reduced manual reporting through automation and reusable analytics.
Developed a strong understanding of Esko's products and business and become a trusted analytics partner to cross-functional teams.

At Veralto, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

Unsolicited Assistance

We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at any of the Veralto companies , in any form without a valid, signed search agreement in place for the specific position, approved by Talent Acquisition, will be deemed the sole property of Veralto and its companies. No fee will be paid in the event the candidate is hired by Veralto and its companies because of the unsolicited referral.