Data Scientist/Analyst

Job Description

Job Description (JD): Data Scientist / Analyst – Insights, Growth, SEO & Forecasting
Company

Adobe

Job Title

Data Scientist / Analyst – Insights, Growth, SEO & Forecasting

Job Level

P20 – Individual Contributor

Location
Bangalore
Noida
Experience Required

3–5 Years

Job Summary

Adobe is seeking a Data Scientist/Analyst to join the Adobe.com Digital Media (DMe) and Digital Experience (DX) Product Analytics teams. The role focuses on customer analytics, web analytics, SEO analytics, forecasting, experimentation, data science, and business intelligence. The successful candidate will leverage Adobe Experience Cloud, SQL, Big Data platforms, and statistical modeling to generate actionable insights that improve customer experience, product engagement, and business growth.

Key Responsibilities
Customer & Web Analytics
Analyze customer behavior across Adobe.com, mobile applications, desktop applications, and web products.
Perform cross-surface analytics using multiple Adobe data sources.
Generate actionable customer insights to improve engagement and conversion.
Data Analysis
Collect, clean, stitch, and analyze structured and unstructured datasets.
Interpret large datasets to identify customer behavior patterns and business trends.
Deliver meaningful insights for business decision-making.
Business Intelligence
Monitor key business metrics such as:
Website Traffic
Conversion Rate (CVR)
Product Mix
ARR (Annual Recurring Revenue)
Customer Lifetime Value (LTV)
Click Through Rate (CTR)
Product Engagement
High Value Actions
SEO Rankings
Forecasting & Predictive Modeling
Develop forecasting models for business growth.
Build statistical models for:
SEO
Customer Lifetime Value (LTV)
Product Recommendation
Next Best Action
Keyword Clustering
CTR Prediction
Growth Forecasting
SEO Analytics
Own SEO analytics and reporting.
Build and enhance SEO dashboards.
Develop SEO data marts.
Analyze search trends and improve search performance.
Experimentation & Growth
Support A/B testing and experimentation.
Validate test hypotheses.
Measure campaign performance.
Perform quality assurance for experiments.
Present recommendations based on experiment results.
Customer Journey Analytics
Understand end-to-end customer journeys.
Analyze customer intent using Voice of Customer (VoC) analytics.
Identify opportunities to improve customer experience.
Dashboard & Reporting
Collaborate with Data Engineering teams.
Develop reports and dashboards.
Present business insights visually.
Communicate findings to stakeholders.
Cross-functional Collaboration

Work closely with:

Product Teams
Marketing
Finance
eCommerce
Data Engineering
Business Leadership
Required Technical Skills
Analytics Tools
Adobe Analytics
Customer Journey Analytics (CJA)
Adobe Experience Cloud
Adobe Debugger
Programming & Query Languages
SQL
Hive
Hadoop
DBx (Databricks)
Data Science
Statistical Modeling
Predictive Analytics
Forecasting
Data Modeling
Machine Learning Fundamentals
SEO Analytics
Keyword Analysis
SEO Forecasting
Keyword Clustering
Search Performance Analytics
Experimentation
A/B Testing
Hypothesis Testing
Growth Analytics
Optimization
Dashboarding
Business Dashboards
Data Visualization
Reporting
Business Knowledge

Candidates should understand:

Customer Analytics
Digital Marketing
Product Analytics
eCommerce Analytics
Growth Metrics
Customer Journey Analytics
Customer Behavior Analysis
Marketing Attribution
Key Performance Metrics
Website Traffic
Conversion Rate (CVR)
Product Engagement
Product Mix
ARR
CTR
SEO Ranking
Customer Lifetime Value (LTV)
High Value Actions
Required Soft Skills
Strong analytical thinking
Excellent problem-solving ability
Critical thinking
Business acumen
Communication skills
Presentation skills
Stakeholder management
Cross-functional collaboration
Curiosity and continuous learning
Attention to detail
Preferred Experience
Product Analytics
Web Analytics
Digital Marketing Analytics
SEO Analytics
Customer Journey Analytics
Forecasting Models
Statistical Modeling
Experimentation Frameworks
Data Science in Digital Products
Tools & Technologies
Adobe Ecosystem
Adobe Analytics
Adobe Experience Cloud
Adobe Customer Journey Analytics
Adobe Debugger
Big Data
Hadoop
Hive
Databricks (DBx)
Data
SQL
Structured Data
Unstructured Data
Analytics
Forecasting Models
SEO Models
Optimization Models
LTV Models
CTR Models
Keyword Clustering
Education

Bachelor’s or Master’s degree in one of the following fields is typically preferred:

Computer Science
Data Science
Statistics
Mathematics
Information Technology
Engineering
Analytics or related disciplines