Description

Key Skills: Customer Journey Analytics(CJA), GCP, Bigquery, Ab Testing, Clickstream, SQL, Python

Roles and Responsibilitises:

• Lead experimentation analytics for A/B tests, multivariate tests, and feature rollout experiments; evaluate outcomes against success metrics and business objectives.
• Perform customer behavior and journey analytics using clickstream and customer journey data, including funnel analysis, segmentation, and cohort analysis.
• Conduct advanced analytical investigations for unexpected results, quantifying incrementality, cannibalization, seasonality, migration, and traffic shifts.
• Partner with Product, Experimentation, Customer Experience, Business, and Data Engineering teams to define measurement strategies and communicate insights to technical and executive audiences.
• Design and maintain experimentation dashboards and KPI reporting frameworks; support self-service analytics by creating reusable datasets and analytical assets.

Skills Required:

• 3 - 6 years of experience in experimentation analytics, product analytics, customer analytics, digital analytics, or related analytical roles.
• BigQuery for querying and analyzing large-scale experimentation and customer datasets.
• A/B Testing and experimentation analytics to measure lift, validate outcomes, and assess statistical significance.
• GCP for end-to-end analytics workflows and cloud-based data access.
• Customer Journey Analytics (CJA) including clickstream and journey measurement to connect behavior to experiment impact.

Good to Have:

• Python and SQL for data preparation, lightweight transformations, and deeper analytical investigations.

Education: Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science, Engineering, Analytics, Economics, or a related field

Key Skills

Education

Any Graduate