Marketing Science Senior Analyst - BI, Conversational Analytics & Data Engineering

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. You will partner closely with Marketing Science, Media, Analytics, CRM, and Engineering teams to create scalable solutions that support enterprise B2B marketing measurement and decision-making. 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 consumed by dashboarding and analytics tools. 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. Support Quarterly Business Reviews (QBRs), campaign recaps, and stakeholder presentations. 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. Establish performance baselines and benchmarking methodologies. Conduct analytical deep dives to identify opportunities for optimization and growth. Support advanced analytics initiatives including attribution, forecasting, trend analysis, audience segmentation, and marketing effectiveness studies. Partner with stakeholders to ensure measurement approaches evolve alongside business priorities. 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 to proactively identify issues and opportunities. Enable conversational analytics experiences that allow stakeholders to interact with data through natural language. Evaluate emerging technologies that improve reporting efficiency and decision-making. Collaboration & Leadership Partner with Marketing Science, Media, CRM, Analytics, and Engineering teams to align business requirements and technical solutions. Present findings, insights, and recommendations to stakeholders in a clear and actionable manner. Contribute to analytics best practices, governance standards, and documentation. Experience Bachelor's degree in Business Analytics, Computer Science, Engineering, Statistics, Mathematics, Economics, or a 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. Experience translating business needs into reporting requirements and analytical 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 groups Internal learning and development programs Enterprise-wide employee discounts And more… At Critical Mass, we value our employees and offer competitive compensation and benefits packages. The Talent Team at Critical Mass is focused on ensuring we provide the best training, onboarding, and employee experience possible! Our new hires & employees are the future of our organization, and we want to set you up for long-term success. In an effort to do so, we expect our team to work from anoffice a minimum of 3 days a week . The ask stems from our want to: Strengthen opportunity for continuous learning Improve collaboration and team relationships. Increase employee engagement This work model balances the need for individual flexibility while maintaining the relentless customer focus we provide at CM. We understand that not everyone may feel comfortable with this expectation, so we ask that you please let us know immediately if there are any concerns so we can help navigate accordingly. #J-18808-Ljbffr Criticalmass