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Senior Data & Systems Analyst (AWS) at Enroute. We love technology, and we enjoy what we do. We are always looking for innovation. We have social awareness and strive to improve it daily. We make things happen. You can trust us. Our Enrouters are always up for a challenge. We ask questions, and we love to learn.. We pride ourselves on having great benefits and compensations, a fantastic work environment, flexible schedules, and policies that positively impact the balance of work and life outside of it. We care about who you are in the office and as an individual. We get involved, we like to know our people, and we want every Enrouter to become part of a great community of highly driven, responsible, respectful, and above all, happy people.. At Enroute, we are looking for a . Senior Data & Systems Analyst (AWS). with a strong . hybrid background in Data Engineering, Systems Analysis, and client advisory work. . This role requires a professional who can . design and build data pipelines. , understand system integrations end to end, and . act as a trusted technical advisor for the client. . You will work independently, ask the right questions, and translate business needs into scalable AWS-based data solutions.. This is . not a traditional Systems Analyst role. — hands-on AWS experience and pipeline development are mandatory.. Responsibilities. Design, build, and maintain . ETL/data pipelines on AWS. . . Work hands-on with . AWS Glue, S3, Lambda, and API Gateway. . . Understand business and system requirements and translate them into technical data solutions. . Act as a . technical advisor. to the client, explaining options, trade-offs, and recommendations. . Collaborate with stakeholders to clarify ambiguous requirements and drive decisions. . Analyze data flows, integrations, and system interactions end to end. . Use . SQL. to validate data, analyze results, and support pipeline logic. . Troubleshoot data and integration issues across systems and AWS services. . Document data flows, transformations, business rules, and integration logic. . Work independently with minimal guidance, owning deliverables from analysis through implementation. . Participate actively in meetings, contributing ideas and recommendations.. ✅ . Must-Have. Proven hands-on experience with . AWS. , specifically: . AWS Glue. . Amazon S3. . AWS Lambda. . API Gateway. . Experience . building and maintaining ETL/data pipelines. (not only documenting them). . Strong . SQL. skills for data analysis and validation. . Experience working with . data integrations and distributed systems. . . Ability to act as a . consultant/advisor. , asking the right questions and guiding clients. . Strong analytical and problem-solving skills. . Ability to work . independently. , manage ambiguity, and take ownership. Experience working in . Agile environments. (Scrum or Kanban). . Ability to . communicate clearly in English (B2+/C1). with business and technical stakeholders. . Proven ability to work . independently and proactively. with minimal supervision.. Knowledge of . process modeling and data modeling. . . Working knowledge of . Python. for querying or data validation. . Experience with . data analysis or data mapping. (Excel, SQL tools, BI tools). . Ability to understand . system architecture diagrams. and technical documentation. . Experience using . Jira. or similar project management tools. . Basic knowledge of . Git / version control. . . Understanding of . SDLC processes. and secure data handling (PII).. ✨ . Nice to Have. Experience in . financial services or insurance. environments. . Experience with additional AWS services or cloud-based data platforms. . Background combining . Data Engineering and Business/System Analysis. roles. . Familiarity with Agile/Scrum environments.. Company Location: Mexico.