Position:
Data Scientist / Data Analyst
Company:
Adobe Systems India Pvt. Ltd.
Location:
Bangalore, Karnataka, India
Noida, Uttar Pradesh, India
Job type:
Full-time
Job mode:
Onsite
Job requisition id:
R157694
Years of experience:
0-3 years
Company Description:
Adobe is a global leader in digital experiences, empowering individuals and organizations to create, manage, and deliver exceptional content across platforms.
Known for pioneering creative tools like Photoshop, Illustrator, Premiere Pro, and Acrobat, Adobe continues to innovate across digital media and digital experience domains.
The company embraces diversity and inclusion, promoting an open and respectful workplace culture.
Adobe operates at scale, delivering powerful software and services for creatives, businesses, and enterprises.
The organization fosters a collaborative and transparent environment where ideas from any level of the company can lead to innovation.
With a firm belief in equal opportunity, Adobe emphasizes accessibility, ethical AI, sustainability, and community responsibility.
Headquartered in San Jose, California, Adobe has a strong presence in India, particularly in tech hubs like Bangalore and Noida.
Adobe is recognized globally for its forward-thinking approach, employee benefits, and focus on continuous learning and growth.
Profile Overview:
The role sits within the Digital Media (DMe) and Digital Experience (DX) product analytics teams at Adobe.
It involves generating insights from Adobe’s digital surfaces like Adobe.com, mobile apps, desktop software, and web apps.
You will work with a wide array of stakeholders across marketing, product, finance, and engineering teams.
The position combines web analytics, SEO, forecasting, statistical modeling, and data science.
Analysts in this role help improve customer journeys, engagement, conversion rates, and SEO performance.
Expect to dive into Big Data using tools like Hive, SQL, and Adobe’s proprietary analytics platforms.
Responsibilities extend across report automation, building forecasting models, experimentation frameworks, and interpreting user behavior.
You will contribute to critical metrics such as ARR, CTR, LTV, product mix, CVR, and more.
Understanding of cross-surface usage and customer touchpoints is key.
The position is ideal for those who enjoy solving real-world problems using data and collaborating globally.
Qualifications:
A bachelor’s or master’s degree in data science, computer science, statistics, engineering, or a related field is preferred.
Strong foundation in SQL and hands-on experience with Big Data platforms such as Hive or Hadoop.
Familiarity with Adobe Experience Cloud tools like Adobe Analytics, CJA, or Adobe Debugger is a plus.
Understanding of SEO concepts, keyword clustering, forecasting, and optimization frameworks is desirable.
Competence in building models for Lifetime Value (LTV), Next Best Action, and Product Recommendation is advantageous.
Strong communication skills with the ability to distill complex data into actionable insights.
A keen eye for quality assurance in analytics implementations and experimentation setups.
Comfort working in a fast-paced, global environment with evolving priorities.
Ability to think critically and identify patterns in both structured and unstructured datasets.
Enthusiasm for customer-centric analytics and driving measurable business impact.
Additional Info:
You will take ownership of SEO analytics and contribute to long-term strategy.
The role emphasizes close collaboration with engineering to drive dashboard/report automation.
You’ll be encouraged to innovate, propose solutions, and question existing assumptions.
There’s strong support for career development, with access to Adobe’s extensive learning resources.
This is a highly visible position with opportunities to influence product and marketing decisions.
You’ll gain experience with a wide range of performance metrics and reporting frameworks.
Insights you generate will directly shape Adobe’s growth and customer experience strategies.
Adobe encourages analytical curiosity, experimentation, and independent thinking.
Your work will span multiple surfaces and help unify fragmented user journeys.
The company provides flexible benefits, learning budgets, and employee wellness initiatives.
Please click here to apply.
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