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nexos.ai hiring Analytics Engineer | Mid-Senior in Kaunas, Kaunas, Lithuania | LinkedIn Skip to main content LinkedIn Analytics Engineer | Mid-Senior in San Francisco, CA Expand search This button displays the currently selected search type. When expanded it provides a list of search options that will switch the search inputs to match the current selection. Jobs People Learning Clear text Clear text Clear text Clear text Clear text Sign in Join now Analytics Engineer | Mid-Senior nexos.ai Kaunas, Kaunas, Lithuania Apply Analytics Engineer | Mid-Senior nexos.ai Kaunas, Kaunas, Lithuania 2 weeks ago Be among the first 25 applicants See who nexos.ai has hired for this role Apply Save Report this job Join the AI revolution. We’re building an all-in-one AI platform to help teams do their best work and automate every routine task you can think of. We’re looking for problem-solvers to turn powerful AI into an easy, no-code tool for teams everywhere. We are looking for an Analytics Engineer to help us build a reliable, scalable analytics layer on top of our data. In this role, you will take ownership of the full data lifecycle: owning ingestion into Google BigQuery, modeling raw data into clean, well-documented tables, and enabling self-serve reporting via Looker Studio. You will act as a key Individual Contributor, guiding our team toward better data practices and ensuring our business stakeholders can trust the numbers they use every day. What You’ll Do: Data Pipeline & Modeling (The "Build") Own the Pipeline: Build and optimize ETL/ELT pipelines for efficient data ingestion (using custom scripts or additional tools if needed) Model the Data: Develop and maintain robust data models using advanced SQL. You will model complex data across multiple sources, specifically Salesforce (SFDC), Stripe, and product event data Transformation Logic: Transform raw data into analytics-ready datasets Data Quality & Governance (The "Trust") Ensure Accuracy: Implement data quality checks, validation, and testing to ensure trusted reporting. You will be the first line of defense against bad data Document Everything: Create and maintain documentation for data models, definitions, and key metrics to ensure the business understands exactly what the data represents Define Metrics: Work to define a consistent metrics layer, ensuring KPIs are calculated uniformly across the company Business Intelligence (The "Insights") Enable Self-Serve: Create and maintain interactive dashboards and reports in Looker Studio Drive Usability: Partner with business stakeholders to define metrics, improve data usability, and ensure dashboards answer the right questions Cross-Functional Collaboration Partner with the Business: Work closely with Sales, Marketing, and Revenue Operations to understand their specific reporting needs Translate

Analytics Engineer | Mid-Senior

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