Digital Analyst
AI in this role
Digital analyst role focusing on web analytics, data modeling, and building LLM-based applications like chatbots and RAG pipelines.
Digital Analyst
Job Description Summary:
Digital Analyst would be part of the Digital Media Web Analytics team, responsible for interacting with Product Management, Business and eCommerce teams to provide necessary analytics support towards Digital Media business acquisition on Adobe.com using Web Analytics tools and advanced data querying & modeling techniques. The successful candidate will have the highest level of data analysis and problem-solving skills and be versed in best practices of data science models.
Responsibilities: The Candidate would be-
- Responsible to provide Analytical Insights & Intelligence support towards aligned business or project or initiative.
- Drive partnership with US Web Analytics team, Go-To-Market teams, eCommerce teams, Adobe.com Product Managers team etc. and be the Subject Matter Expert for aligned areas.
- Provide in-depth narration towards Weekly Performance of the business.
- Innovate and deploy analytical solutions including data science models to solve the business problems e.g. building an Anomaly & contribution tool to
- Defining Analytics requirements and validation of any new assets or launches, events etc.
- Conduct A/B or multivariate test analysis and present the findings and recommendations to the stakeholders.
- Provide Pre vs Post impact analyses towards changes on the Adobe.com
- Building Visitor/customer journeys on Adobe.com to achieve desired outcome.
- Building solutions that are scalable, repeatable, effective, and meet the expectations of stakeholders.
Analytics Skill Set: The Candidate should possess-
- 2-5 years related work experience in online ecommerce environments. MBA or Masters in a quantitative field like Economics, Statistics, Engineering, or IT is desirable.
- Expert with Adobe Analytics analysis or Customer Journey Analytics (CJA) and insight generation.
- Proven ability to perform in-depth data analysis and present insights in a clear manner
- Strong analytical and quantitative orientation along with story telling skills.
- Basic understanding of A/B testing /experimentation design (hypothesis formulation, statistical significance, read-out).
- Hands-on, production-level proficiency in Python and SQL for data extraction, transformation, and analysis.
- Demonstrated experience building LLM-based applications — e.g., chatbots, AI agents, retrieval-augmented generation (RAG) pipelines, prompt-engineered tools, or automation skills with a portfolio or examples you can walk through.
- Proficient in utilizing Microsoft Excel/Microsoft PowerPoint- Expert at the creation and use of Excel pivot tables to drive analytics.
- Experience with data visualization tools, such as Tableau, Power BI etc. is a plus
- Strong knowledge of online marketing strategies.
- Excellent verbal and written communication skills.
About Adobe
Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences. Adobe’s industry-leading offerings including Adobe Acrobat Studio, Adobe Express, Adobe Firefly, Creative Cloud, Adobe Experience Platform, Adobe Experience Manager, and GenStudio enable people and businesses to turn ideas into impact, powered by AI and driven by human ingenuity.
Our 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth. We’re on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.
Let’s Adobe together
At Adobe, we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life, including our values and culture, focus on people, purpose and community, Adobe for All, comprehensive benefits programs, the stories we tell, the customers we serve, and how you can help us advance our mission of empowering everyone to create.
Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic. Learn more.
Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com.
AI Use Guidelines for Interviews:
Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.
At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.
How we rate this
Digital Analyst at Adobe rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where web analytics was part of your work. What did you do?
- Tell me about a project where data science was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: RAG, AI Agents, Web Analytics, Data Science, and Machine Learning. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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