Associate - Digital Process - Digital Competitive Intelligence

The interview process typically starts with a timed online assessment covering aptitude and basic programming. Successful candidates move to a technical interview that focuses on data mapping, Python/SQL queries, and scenario‑based case studies. The final HR round evaluates cultural fit, communication skills, and motivation. Preparation should include mock tests, data‑handling exercises, and clear articulation of past projects.

Digital Acceleration fosters a fast‑paced, collaborative culture where ideas are turned into products quickly. Employees enjoy a blend of autonomy and mentorship, with ample opportunities for upskilling through internal training programs and cross‑team projects.

Graduates (B.Tech/B.E/MCA/BA) from any stream with a minimum of 60% aggregate (or CGPA 6.5/10). Final year students can apply; must be able to join full‑time after graduation. No active backlogs allowed at the time of joining. Candidates from the 2025, 2026 or 2027 batch are preferred but not mandatory.

Round 1: Online Assessment (aptitude & logical reasoning) → Round 2: Technical Interview (data handling, Python/SQL, case studies) → Round 3: HR Interview (fit, motivation, compensation discussion)

Digital Acceleration (DA) is a fast‑growing arm of Amazon that focuses on building data‑driven solutions for the e‑commerce giant’s marketplace ecosystem. The team works closely with product, engineering, and business stakeholders to deliver insights that power pricing, selection, and competitive strategies across multiple geographies. With a culture that encourages experimentation, rapid prototyping, and cross‑functional collaboration, DA has become a hub for innovators who love turning raw data into actionable business value. The organization prides itself on a meritocratic environment where fresh talent can quickly take ownership of high‑impact projects and see the tangible results of their work. The role of DCI Operations is centered on the end‑to‑end lifecycle of digital competitive intelligence. You will start by manually mapping Amazon product data to external sources such as competitor websites, social media feeds, and niche online repositories. Over time, you will transition these manual processes into automated pipelines, ensuring data accuracy through rigorous audit and validation steps. The position also involves multilingual tasks like translation and content review, with a focus on Japanese, and provides support for various digital business services including new competitor identification, price‑monitoring, marketplace analysis, lowest‑price recommendation, and contractual audits. Key Responsibilities: 1. Collect and document business requirements for competitive intelligence workflows. 2. Perform feasibility analysis and design mapping strategies between Amazon catalog and external data sources. 3. Manually construct and validate data mappings before automation. 4. Develop and maintain automated scripts or tools for data extraction and transformation. 5. Conduct regular audits to ensure data integrity post‑automation. 6. Generate analytical reports for Digital Acceleration and program management teams. 7. Assist in multilingual content translation, review, and language processing tasks. 8. Identify new competitor sources and recommend enhancements to monitoring frameworks. 9. Collaborate with engineering, data science, and product teams to refine data pipelines. 10. Participate in continuous improvement initiatives and knowledge‑sharing sessions. Tech Stack: Python, SQL, AWS services (S3, Lambda, Glue), Tableau/PowerBI for reporting, basic knowledge of web‑scraping tools, and familiarity with translation APIs. Growth Path: Starting as an Associate, you can progress to Senior Analyst, then to Team Lead, and eventually move into Product Management or Data Engineering roles within Amazon’s broader ecosystem. Why Join: You will work on real‑world, high‑visibility projects that directly influence Amazon’s market positioning. The role offers exposure to cutting‑edge data technologies, multilingual challenges, and a supportive environment that invests heavily in learning and career progression.