Analytics Engineer Sr

Why Valtech? We’re the experience innovation company - a trusted partner to the world’s most recognized brands. To our people we offer growth opportunities, a values -driven culture, international careers and the chance to shape the future of experience. The opportunity At Valtech, you’ll find an environment designed for continuous learning, meaningful impact, and professional growth. Whether you're pioneering new digital solutions, challenging conventional thinking or building the next generation of customer experiences, your work will help transform industries. We are proud of: • The work we do and the innovation we drive • Our values of share, care a nd dare • Our borderless, global framework, which enables seamless collaboration The role As an Analytics Engineer , you are passionate about experience innovation and eager to push the boundaries of what’s possible. You bring 3+ YEARS of experience, a growth mindset and a drive to make a lasting impact. This BI and Analytics Engineer supports our client by delivering reliable data pipelines, reporting, and actionable insights. The role builds and maintains cloud-based ETL/ELT workflows using Databricks, APIs, and orchestration tools. It also develops automated reporting and Tableau dashboards, with Alteryx as a core skill. Day to day work will alternate between long term (ETL and dashboard projects) and quick-turn analytics requests. Working largely independently, the engineer translates business questions into clear analyses defines and builds maintainable workflows for client stakeholders. The role safeguards delivery quality and timeliness, manages the backlog and provides attentive client service. You will thrive in this role if you are: • A curious problem solver who challenges the status quo • A collaborator who values teamwork and knowledge-sharing • Excited by the intersection of technology, creativity and data • Experienced in Agile methodologies and consulting (a plus) Role responsibilities • Lead the development and maintenance of reusable, analysis-ready datasets for reporting, dashboarding, and analytical use cases. • Translate business questions into structured analytical approaches, reporting requirements, data needs, and output designs with limited oversight. • Analyze structured data to identify trends, anomalies, business drivers, and actionable opportunities. • Own lightweight transformation logic and dashboard-ready data modeling needed to support accurate and scalable analytics outputs. • Design and maintain ingest and business logic-based transformation s in tools such as Alteryx, Databricks SQL , Pyspark and related cloud data environments. • Build scalable ingestion pipelines using APIs and other connectors to ingest, transform and centralize data in analysis, data science and dashboard ready data sets. • Build scalable analytical models that support Data Analysts, Data Scientists, AI Scientists, and business stakeholders with reliable and understandable data assets. • Perform and improve data validation, QA, and logic review practices to ensure modeled datasets are accurate , complete, and aligned with business expectations. • Troubleshoot moderately complex modeling, transformation, semantic, or metric consistency issues and work with adjacent teams to resolve them. • Document transformation logic, source dependencies, joins, model assumptions, semantic definitions, and data quality considerations clearly and consistently. • Support structured code review, version-controlled development, and reusable workflow practices for analytics engineering assets. • Partner with Data Analysts, Data Scientists, AI Scientists, Data Engineers, and Architects to ensure transformed datasets align with reporting needs, modeling requirements, gove