Marketing Science Senior Analyst - BI, Conversational Analytics & Data Engineering
Criticalmass · San Jose
About this role
**Role Overview** We are seeking a Marketing Science Senior Analyst to help design, build, and scale modern marketing analytics solutions that connect marketing investments to business outcomes. This role sits at the intersection of data engineering, analytics, measurement, and business intelligence, with a strong focus on developing robust data foundations, scalable reporting ecosystems, and AI-enabled analytics capabilities. You're equally comfortable building data pipelines, designing reporting frameworks, developing dashboards, and translating business questions into actionable insights. **Key Responsibilities** **Data Engineering & Data Foundations** • Design, build, and maintain scalable data pipelines integrating marketing, CRM, web analytics, partner, and business outcome data • Develop unified data models that support cross-channel measurement and reporting • Establish data governance, documentation, taxonomy standards, and metadata management processes • Implement data quality controls, automated validation checks, and anomaly detection mechanisms • Support the development of scalable reporting datasets and semantic layers • Collaborate with technical teams to optimize data architecture, performance, and reliability **Analytics, Reporting & Dashboard Development** • Design and develop dashboards and reporting solutions for executive, operational, and campaign-level stakeholders • Translate business objectives into KPIs, reporting frameworks, and measurement solutions • Build scalable datasets, calculated metrics, and reusable reporting structures • Support self-service analytics initiatives by creating intuitive reporting experiences • Deliver regular performance reporting, campaign analysis, and insight generation **Measurement & Marketing Analytics** • Develop and maintain measurement frameworks aligned to marketing and business objectives • Define KPIs across demand creation, engagement, progression, conversion, and pipeline contribution • Conduct analytical deep dives to identify opportunities for optimization and growth • Support advanced analytics initiatives including attribution, forecasting, and audience segmentation **AI & Conversational Analytics** • Support the adoption of AI-enabled analytics and reporting capabilities • Develop automated insight generation and performance monitoring processes • Implement anomaly detection and alerting frameworks • Enable conversational analytics experiences that allow stakeholders to interact with data through natural language **Required Experience** • Bachelor's degree in Business Analytics, Computer Science, Engineering, Statistics, Mathematics, Economics, or related quantitative field • 3-5 years of experience in Marketing Analytics, Business Intelligence, Data Analytics, Data Engineering, or Marketing Science • Strong SQL skills and experience working with large and complex datasets • Experience building and maintaining data pipelines, ETL/ELT processes, and data integration workflows • Hands-on experience developing dashboards and business intelligence solutions • Familiarity with cloud-based data platforms and modern data architectures • Strong analytical, problem-solving, and stakeholder communication skills **What We Offer** • Maternity and parental leave extra days • Competitive benefits packages • Vacation, compassionate leave, sick days, and flex days • Access to online services for families and new parents • Diversity and Inclusion Board with 12 affinity group
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