CSS Service Insights Analyst

The CSS Service Insights Analyst is responsible for delivering advanced analytical insights that drive business growth, improve customer engagement, and support strategic decision-making across the Services organization.

The role analyzes large, complex datasets using SQL, Python, statistical methods, and AI-assisted analytical techniques to identify customer behaviors, performance trends, and business opportunities. Working closely with cross-functional business, product, and data engineering teams, the analyst develops measurement frameworks, defines analytical requirements, and translates data into actionable recommendations.

The position creates executive-ready dashboards, visualizations, and data-driven narratives that influence product strategy, customer experience, and monetization initiatives. Success in this role requires strong analytical problem-solving skills, effective stakeholder collaboration, and the ability to transform complex data into meaningful business outcomes.

Key Responsibilities

• Support growth initiatives and strategic programs through experiment design, performance measurement, customer insight development, and AI-assisted analytical techniques that improve business understanding and decision-making.
• Partner with customer engagement and cross-functional business teams to identify opportunities that increase subscriptions, customer engagement, retention, and product purchases through data-driven insights.
• Define measurement frameworks, analytical requirements, and data product specifications, partnering closely with data engineering teams to develop scalable data assets that enable advanced analytics and business insights.
• Deliver actionable insights by synthesizing data from multiple sources, including enterprise data warehouses, customer research, surveys, and behavioral data. Develop hypotheses, validate findings, and recommend actions that influence business strategy.
• Create compelling data stories and executive-ready presentations that clearly communicate analytical findings, business opportunities, and recommendations to stakeholders at all organizational levels.
• Apply statistical methods, machine learning techniques, and AI-enabled analytical capabilities, where appropriate, to uncover patterns, explain business performance, and support data-driven decision-making.
• Continuously identify new opportunities to leverage data, analytics, and emerging AI capabilities to improve analytical efficiency, enhance business insights, and support strategic business objectives.

Education and Experience Required

• Bachelor’s or Graduate degree in Mathematics, Analytics, Data Science, Marketing, Engineering, or Economics. Graduate degree preferred.
• 7+ years of analytic work experience with an emphasis on email and in-app campaigns and experiences in support of digital products.
• 3+ years working collaboratively with product teams.

Knowledge and Skills Required

• Analytical Tools

+ Expertise in business intelligence and analytics platforms, including Power BI, Looker, ThoughtSpot, Google Analytics, and other visualization tools used to transform complex data into actionable business insights. + Advanced SQL proficiency with experience developing complex queries, optimizing data retrieval, and analyzing large datasets; proficiency in Python for analytical workflows, automation, and advanced data analysis. + Experience with enterprise data platforms such as Databricks SQL, Amazon Redshift, and modern cloud-based data warehouse technologies. + Familiarity with AI-enabled analytical tools that enhance data exploration, insight generation, and analyst productivity while maintaining strong analytical rigor and validation.

• Analytical Skills

+ Demonstrated expertise in quantitative analysis with the ability to transform complex, large-scale datasets into meaningful business insights, strategic recommendations, and measurable outcomes. + Proven ability to navigate ambiguity, frame complex business problems, perform exploratory analysis with minimal direction, and develop structured analytical approaches to answer open-ended business questions. + Experience designing and evaluating A/B tests, multivariate experiments, and campaign performance across digital channels,including email, mobile applications, web experiences to measure impact and support data-driven decision-making. + Strong understanding of statistical analysis and machine learning techniques, including logistic regression, generalized linear models, decision trees, clustering, factor analysis, and other predictive or descriptive analytical methods. + Experience leveraging AI-assisted analytical capabilities to accelerate insight generation, summarize analytical findings, and improve decision support while applying sound statistical methods and business judgment to validate results.

• Cross-Org Skills

+ Effective Communication + Results Orientation + Learning Agility + Digital Fluency + Customer Centricity

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Long term/short term disability insurance
• Employee assistance program
• Flexible spending account
• Life insurance
• Generous time off policies, including;
• 4-12 weeks fully paid parental leave based on tenure
• 11 paid holidays
• Additional flexible paid vacation and sick leave