Technical Digital Analyst

Description If digital and product analytics are your world, but you're looking to expand your understanding of the technical side of data and take ownership of how data works behind the scenes, this role is for you. As a Technical Digital Analyst at M:AD Growth, K-Verse's data and technology company, you'll move beyond traditional analytics into building data infrastructure, working with cloud technologies, and creating AI-powered solutions that drive real business impact. This is a role for builders. We don't separate analytics from execution. We believe in people who take ownership, build solutions, and work across the full data lifecycle - from raw data to business impact. You'll work with some of Israel's leading brands while gaining hands-on experience with modern data, cloud, and AI technologies at scale. Responsibilities Investigate user behavior, funnels, and conversion journeys directly from GA4 raw data in BigQuery Build scalable data models and semantic layers that support analytics and business reporting Design and maintain automated data pipelines, integrating data from APIs and external data sources Work with cloud-based data infrastructure, including Cloud Functions, Scheduled Queries, and Pub/Sub Develop and implement AI-powered agents and automation solutions on Google infrastructure Build business-focused dashboards and reporting solutions in Looker Studio Work closely with leading brands to solve business challenges through data Requirements 2-4 years of experience as a Digital Analyst or Product Analyst Strong hands-on experience with BigQuery and SQL, including nested fields and window functions Deep understanding of the GA4 event model and experience analyzing raw GA4 data Experience building dashboards in Looker Studio, preferably on top of BigQuery Familiarity with semantic layer concepts and data modeling Native-level Hebrew - mandatory, for ongoing work with Israeli clients and within a fully Hebrew-speaking work environment Strong technical English Nice to Have Experience with Python (Pandas, APIs) and Git Familiarity with dbt, Dataform, Datastream, or Google Cloud Platform (GCP) Familiarity with LLMs and agent frameworks such as LangChain or Vertex AI Experience implementing tracking solutions using Google Tag Manager (GTM)