• Support the Data Center of Excellence (Data COE) team across five key areas: documentation of data processes and reporting logic, exploratory data analysis beyond standard grant reporting, data pipeline and dashboard cleanup and maintenance, qualitative data capture from member research and surveys, and general research to support grant strategy and benchmarking. • Draft and refine plain-language documentation of how metrics are calculated, data is cleaned, and reports are generated for grant programs. • Develop step-by-step guides for updating and maintaining Power BI dashboards and grant reporting processes. • Perform exploratory analysis on grant data (e.g., credential and placement outcomes, wage trends, training impact) and prepare summary findings for the team. • Assist with data quality checks, including identifying duplicates, missing values, and inconsistencies across datasets. • Support data pipeline tasks such as validating outputs, documenting code logic, and assisting with light cleanup of Python notebooks. • Synthesize qualitative feedback and patterns from member meetings, surveys, and program interactions into structured summaries. • Conduct landscape research on how peer organizations handle subgrantee data reporting, metric definitions, and data collection practices. • Support preparation of materials for internal and external stakeholder meetings as needed.

• Interpret and monitor performance of authentication models within the spectral library • Support creation and review of model snapshots, including associated metadata checks • Collaborate closely with Data Scientists and technical teams on model refinement and updates • Contribute to model validation, release, and maintenance in support of Authentifield operations • Document methods, decisions, and changes in line with governance and compliance expectations • Data Science team coordination

• Support marketing analytics strategies aligned with organizational goals and digital performance objectives. • Collaborate with cross-functional teams including digital marketing, CRM, lifecycle, and sales. • Ensure data integrity and consistency across Salesforce, Pardot, and integrated platforms. • Utilize data, analytics, and AI-driven insights to inform campaign performance and strategic decisions. • Stay current with analytics best practices, AI capabilities, and data privacy regulations. • Support compliance with global data privacy standards including CCPA, GDPR, and related regulations. • Build and maintain dashboards and reporting frameworks using tools such as Power BI, Looker Studio, or similar platforms. • Develop standardized reporting templates to track marketing performance, pipeline, and revenue impact. • Analyze campaign performance across channels including web, email, paid media, and lifecycle programs. • Identify trends, patterns, and optimization opportunities using both traditional analytics and AI-assisted analysis.

Role Description We are looking for a Data Analyst with expertise in spectroscopy (NIR required), chemometrics, and multivariate data analysis to support the monitoring, validation, and maintenance of authentication models, working closely with Data Scientists in a regulated environment. - Strong background in spectroscopy and chemometrics (NIR mandatory; Raman / FTIR as a plus) - Proven experience in multivariate analysis and chemometric modelling (PCA, PLS‑DA, classification models) - Ability to monitor, interpret, and maintain model performance across spectral libraries - Hands‑on experience with ideally Python‑based data analysis (e.g. Jupyter notebooks, NumPy, SciPy, scikit‑learn) - Experience working with validated / regulated environments and producing inspection‑ready documentation Qualifications - Interpret and monitor performance of authentication models within the spectral library - Support creation and review of model snapshots, including associated metadata checks - Collaborate closely with Data Scientists and technical teams on model refinement and updates - Contribute to model validation, release, and maintenance in support of Authentifield operations - Document methods, decisions, and changes in line with governance and compliance expectations Requirements - Data Science team coordination Benefits - Broad range of activities, tasks, and projects - Flexible working conditions - Minimum 5 weeks of vacation - Paid sick days - Meal vouchers - Vouchers (B-day voucher, wedding, and new born surprise) - Contributions to wellness programs (multisport card) - Fishing for Friends program – our referral program - Refreshments in the D-ploy office - Further development and professional advancement - Friendly and international working environment - Company-sponsored events - Competitive salary and various benefits