Senior Platform Data Analyst Ansell Guardian

About the role

The Senior Platform Data Analyst, AnsellGUARDIAN™ is responsible for ensuring the quality, integrity, and availability of the data that powers Ansell’s safety assessment platform, algorithms, and AI-driven recommendation tools. This role works closely with Product Management, Data Science, Engineering, and global Guardian teams to support data pipeline monitoring and optimization across multiple enterprise systems.

Responsibilities

• Manage, monitor, and improve data pipelines across key enterprise systems (Salsify, GIS, TRMS, and other data sources), ensuring data quality, integrity, and readiness for analytics and AI applications.
• Perform data cleansing, validation, transformation, and governance activities to support safety algorithms, digital products, and business decision-making.
• Analyze platform data to identify usage trends, product performance insights, and opportunities to enhance customer outcomes and platform effectiveness.
• Develop dashboards, reports, and visualizations to track key performance indicators, algorithm accuracy, adoption, and business impact.
• Support data integration initiatives by collaborating with Product Management and Engineering teams to validate data flows and technical requirements.
• Contribute to the development, testing, and continuous improvement of AI-powered features within the AnsellGUARDIAN™ platform.
• Aid in user story creation, acceptance criteria definition, user acceptance testing (UAT), and AI feature validation.
• Partner with product managers, data scientists, software engineers, and global Guardian teams to deliver scalable, data-driven solutions aligned with business objectives.
• Drive continuous improvement of data reliability, accessibility, and platform performance across the Guardian digital ecosystem.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field required. Master’s degree preferred but not required.
• 3–5 years of experience in Data Analytics, Data Engineering, Business Intelligence, or related roles, with the ability to independently manage data initiatives and collaborate across cross-functional teams.
• Hands-on experience with data cleansing, transformation, validation, and visualization tools.
• Experience working with large and complex datasets to drive insights and support business decisions.
• Exposure to machine learning workflows, analytics platforms, or API-based data structures is preferred.
• Experience supporting AI/ML-enabled products or participating in product management activities such as user story creation, user acceptance testing (UAT), and user research is a plus.
• Familiarity with Agile/Scrum methodologies and digital product development environments.
• Experience within B2B, industrial, healthcare, or digital platform organizations is preferred.
• Working knowledge of interface definitions, JSON payloads, API documentation tools (e.g., Swagger/OpenAPI), and SQL-based data analysis.
• Experience with modern data platforms and technologies such as Snowflake, Databricks, AWS, or Azure is preferred.
• Strong understanding of data architecture, system integrations, and cloud-based data ecosystems.
• Proficiency in SQL, Python, or R for data analysis, manipulation, and reporting.
• Experience with data visualization and business intelligence tools such as Power BI, Tableau, or similar platforms.
• Strong understanding of data modeling, ETL processes, data integration, and API-based data exchange.
• Experience working with large datasets, ensuring data quality, accuracy, and consistency.
• Strong analytical, problem-solving, and critical-thinking skills with high attention to detail.
• Ability to translate complex data insights into clear, actionable recommendations for both technical and non-technical stakeholders.
• Excellent communication and stakeholder management skills in cross-functional environments.
• Fluent English, both written and spoken.
• Familiarity with Product Management methodologies, including user story development, acceptance criteria definition, and user acceptance testing (UAT).
• Experience working in Agile/Scrum environments and supporting the delivery of data-driven digital products or AI-enabled solutions is preferred.

Qualifications

• Exceptional attention to detail and commitment to maintaining high standards of data accuracy, quality, and integrity.
• Strong analytical mindset with the ability to identify patterns, generate insights, and uncover opportunities for continuous platform improvement.
• Effective collaboration and communication skills, with the ability to work across global, cross-functional teams and translate data findings into actionable recommendations.
• Learning agility and adaptability to quickly understand new technologies, data systems, tools, and evolving business requirements.
• Strong problem-solving skills, with the ability to investigate root causes, address data issues, and implement sustainable solutions.
• High level of ownership and accountability, consistently delivering reliable, accurate, and timely results.
• Customer- and product-oriented mindset, balancing technical data requirements with business objectives and user needs.
• Genuine interest in AI-powered technologies and digital products, with a willingness to contribute to the development, testing, and enhancement of AI-driven solutions.
• Ability to thrive in a fast-paced, evolving environment at the intersection of data, analytics, AI, and product management.

Skills

• SQL, Python, or R for data analysis, manipulation, and reporting.
• Data visualization and business intelligence tools such as Power BI, Tableau, or similar platforms.
• Data modeling, ETL processes, data integration, and API-based data exchange.
• Large datasets, ensuring data quality, accuracy, and consistency.
• Strong analytical, problem-solving, and critical-thinking skills with high attention to detail.
• Communication and stakeholder management skills in cross-functional environments.
• Product Management methodologies, including user story development, acceptance criteria definition, and user acceptance testing (UAT).
• Experience working in Agile/Scrum environments and supporting the delivery of data-driven digital products or AI-enabled solutions.

Benefits and Opportunities

• Competitive compensation plan, including a performance-based annual incentive.
• A flexible and hybrid work model.
• A culture of belonging, inclusion, and collaboration across our global community.
• Ansell University, LinkedIn Learning & mentorship programs.
• Opportunities for advancement and professional development.

Pay

The base salary range for this position is $95,000 to $105,000 US Dollars per year. Specific salary for this role may vary within this range based on many factors including geographic location, candidate experience, and skills.

Schedule

Occasional travel (up to 10%) to support cross-regional collaboration, data governance initiatives, platform integration activities, and stakeholder workshops.

Global AnsellGUARDIAN™ data governance, data quality, and platform performance review initiatives

Collaborate with global teams to drive best practices, standardization, and consistency in data management processes and reporting.

Knowledge Sharing and Cross-functional Engagement

Support knowledge sharing and cross-functional engagement to enhance the effectiveness, scalability, and adoption of the Guardian platform.