• Uncover retention and growth drivers by leveraging exploratory analytical techniques • Dive into our data to discover insights on player behavior across different cohorts, segments, and stages of the user lifecycle, and communicate collect feedback on your findings from peers, and business and product partners • Work with business, product, and engineering teams to [plan → design → ship → evaluate] experiments/AB-Tests, and communicate their results/impact with the company. • Work directly in BigQuery to extract truths and trends that inform and guide business and product decisions • Collaborate with analysts/data-scientists in building scalable, and reproducible analyses, and communicate their insights with the company • Develop tools and best practices to ensure high data quality and identify and prevent errors before they reach production datasets

• Perform analyses, cross-checks and organize data to support decision-making. • Maintain and monitor existing dashboards, reports and automations. • Identify process improvement opportunities through data and technology. • Support the creation of analytical solutions and automations using various tools. • Participate in the structuring, validation and monitoring of KPIs. • Collect, clean and prepare datasets. • Collaborate with different teams to understand requests and translate needs into practical solutions. • Test new tools, artificial intelligence features and ways to increase efficiency in daily workflows. • Document processes, analyses and initiatives developed.

Role Description Support the execution of the Quality Lab Excellence and Quality Digital Transformation Roadmap. The role contributes to building a seamlessly connected digital quality ecosystem for Quality lab equipment. The role is remote and will be open with a fixed-term contract for 1 year. You will: - Operate within Global Quality Systems Management, including SAP QM, LIMS, and related platforms. - Support design, implementation, and continuous improvement of global Quality Systems to ensure data integrity, traceability, and performance tracking. - Act as a Quality Process Champion for SAP, ensuring alignment between Quality process requirements and corporate architecture. - Provide system user support, data analysis, and issue resolution contributing to continuous system enhancement. Digital Excellence and Data Governance: - Support the digitalization of global Quality lab processes and systems to enhance speed, transparency, and data quality. - Support the implementation of an end-to-end data management infrastructure, ensuring accuracy, consistency, and accessibility of quality data. - Support the development of data systems and dashboards for advanced analytics and decision making. - Drive continuous improvement initiatives across digital and system-related activities for scalability and sustained effectiveness. - Contribute to the creation of a fully integrated Digital Quality Ecosystem linking systems, laboratories, and global data sources. - Design, test, and deploy innovative digital tools and dashboards enabling real-time insights and predictive analytics. - Maintain structured repositories of knowledge and ensure consistent distribution and training across user communities. Laboratory Standards, Infrastructure, and Performance Excellence: - Support the implementation of efficiency and utilization measures in Quality Laboratory Equipment. - Participate in defining and validating Givaudan’s global laboratory meta-standards and best practices. - Facilitate knowledge and best practice sharing through the regional Quality Laboratory Coordinator Network. - Assist with training and knowledge transfer programs supporting Laboratory Excellence initiatives. - Collect and analyze key indicators to monitor laboratory performance, resource utilization, and process efficiency. Qualifications - Master’s or bachelor's degree in computer science, Data Science, Quality Management, Engineering, or related field. - Overall work experience minimum 1-3 years. - Solid project management skills and utilization of project management techniques. - Technical understanding of product life cycle management. - Good communication and stakeholder management skills. - Basic understanding of Flavours or Fragrance Quality Laboratory Processes and Principles. - Good understanding of SAP ECC. - Good understanding of Excel, Tableau, data analysis, and BI reporting. - Experience with database systems and ETL tools. Benefits - 37.5-hour week under the chemical industry collective agreement. - Flexible hours. - 30 days of vacation each year. - Parking facilities. - Modern canteen. - Leased bicycles. - Unlimited fresh fruit, water, coffee, and tea.

Role Description We’re looking for a Product Data Analyst to help our product teams make smarter, faster, and more data-driven decisions. In this role, you’ll partner closely with Product Managers, Engineering, and Design to uncover insights that improve the customer experience, drive engagement, and support long-term retention. You’ll play a key role in reinforcing CompanyCam’s continuous discovery approach by helping teams: - Define success metrics - Validate assumptions - Measure experimentation outcomes - Use data to guide product strategy This role blends analytical rigor, experimentation, and stakeholder collaboration in a fast-paced SaaS environment. Location: This is a remote position. You must live and work permanently in the U.S. to be considered. What You'll Do - Partner with Product Managers to define KPIs, measure success, and support continuous discovery practices - Analyze product usage, customer behavior, and funnel performance to identify trends and opportunities - Support experimentation and A/B testing efforts by measuring results and translating findings into actionable recommendations - Build and maintain dashboards and reporting in tools such as Metabase and Amplitude - Develop analyses that help teams improve product adoption, engagement, and retention - Work with cross-functional teams to ensure consistent metric definitions and trusted reporting - Leverage SQL, dbt, and analytics tools to transform and analyze product data - Enable self-service analytics by training stakeholders on dashboards, reporting tools, and best practices - Communicate complex findings clearly and effectively to both technical and non-technical audiences - Help foster a culture of experimentation, curiosity, and data-driven decision-making across Product and Engineering teams The Impact You'll Have At CompanyCam, your work makes a real impact. Whether you're writing code, supporting customers, or designing experiences, your contributions directly shape the product we deliver and the people we serve. In this role, you’ll drive impact by: - Helping product teams make more informed, customer-focused decisions - Improving product experiences through experimentation and behavioral insights - Increasing visibility into product performance, engagement, and retention trends - Strengthening the company’s culture of continuous discovery and data-driven iteration - Empowering teams with accessible, trusted analytics and reporting tools Qualifications - 2+ years of experience in product analytics, data analytics, or a related field - Strong SQL skills and experience working with modern analytics tools such as dbt, Metabase, Amplitude, Secoda, or similar platforms - Experience supporting product experimentation and A/B testing initiatives - Strong analytical and problem-solving skills with the ability to turn complex data into actionable insights - Experience building dashboards, reports, and data visualizations for business stakeholders - Ability to communicate findings clearly across technical and non-technical audiences - Comfortable working in a fast-paced, collaborative product environment - Experience working closely with Product and Engineering teams in a SaaS environment - Familiarity with cohort analysis, funnel optimization, and behavioral analytics - Background in statistics, experimentation methodology, or quantitative analysis - Passion for continuous learning, experimentation, and improving decision-making through data - A continuous growth-mindset, with a focus on learning, embracing challenges, and continuously improving - A knack for creativity and innovation, bringing fresh ideas to the table and solving complex problems Benefits - This is a salaried position at CompanyCam. Our starting salary range is $115,000-$123,000 per year and is based on experience. - We also offer meaningful equity and other benefits.