Role Description We're looking for a strong analyst to join our Data Science team. Our DS teams ship models and run experiments that directly impact revenue and core B2B metrics. Qualifications - 2–3+ years in Data or Product Analytics - Strong SQL: complex queries, CTEs, window functions - Python for analysis and calculations - Hands-on experience running A/B tests - Solid grasp of statistics and basic mathematical analysis - Experience with BI tools (Tableau, Metabase, or similar) - Ability to quantify impact in revenue terms and work with ROI - Proactive mindset with a business-first approach Benefits - Flexible schedules and opportunity to work remotely - Ambitious and supportive team who love what they do, appreciate each other, and grow together - Internal programs for adaptation and training, development of soft skills, and leadership abilities - Partial compensation for participating in external training and conferences - Corporate English school: Group and individual lessons, speaking clubs with colleagues from all over the world - Corporate prices on hotels and travel services - MyTime Day Off - an extra non-working day without loss of compensation

• 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.