Digital Analyst

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. 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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 .