CSS Service Insights Analyst
About The Position
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.
Requirements
- 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.
- 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.
- Effective Communication
- Results Orientation
- Learning Agility
- Digital Fluency
- Customer Centricity
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.
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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
