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Senior Marketing Data Analyst at foodpanda analyzes marketing data across 16 markets to optimize spend and drive growth using SQL and analytics.
Transform large datasets into insights using PL/SQL and Python, automate reporting, and collaborate with teams to ensure data integrity and stakeholder needs.
Analyze business data using SQL and Tableau to build dashboards and reports that guide company decisions.
Designs and builds data-analysis tools to extract trends from large datasets, creates visualizations, and reports insights for stakeholders in a government-owned utility.
Build and maintain R&D analytics models and reporting in Pigment to help engineering teams ship faster and make data-driven decisions using SQL, dbt, and BI tools.
Senior QA Engineer validates data integrity and performance for reporting dashboards, data warehouses, ETL pipelines, and analytics platforms using manual and automated testing in Snowflake and SQL.
Build and maintain data pipelines, validate quality, and ensure reporting-ready structures to support healthcare communications insights.
Build and automate a real-time pricing engine for an insurtech company, linking data flows and ensuring quality for reinsurer integrations.
Hybrid role in Barcelona profiling datasets, testing data pipelines, and building ETL flows with Python to deliver insights via Power BI and statistical analysis.
Build dashboards, data models, and ELT pipelines to turn business questions into reliable data and insights for a fast-growing startup.
Senior Analytics Engineer builds scalable data products using SQL, dbt, and AI integration for a travel-tech company, owning end-to-end delivery and customer-facing responsibilities.
Analyzes aviation safety data, maintains SPI trackers, and builds dashboards in Power BI to support reporting for senior stakeholders and regulatory forums.
Build trusted data products and KPIs using dbt and Databricks; transform raw data into analytics-ready datasets while collaborating with cross-functional teams.
Builds scalable Golang data-analytics services, designs features, and collaborates with stakeholders using Git, Docker, Kubernetes, and CI in a Windows/Linux environment.
Senior Analytics Engineer builds and scales Snowflake data models and metrics using dbt and Python to enable trusted analytics and self-service insights for stakeholders.
Builds BI reports, automations, and dashboards for Amazon’s European transport ops using SQL, Python, and tools like Tableau and QuickSight.
Design and deploy AI/ML systems and data pipelines to turn raw data into scalable, business-impacting insights for PwC clients.
Builds and maintains the data warehouse and semantic layer for a fintech domain, modeling data for AI agents and business stakeholders using Domain-Driven Design.
Build and maintain data models in Databricks and SQL, then create BI dashboards for self-service analytics while partnering with stakeholders to drive data-driven decisions.
Build and maintain scalable ETL pipelines to transform healthcare data into OMOP/FHIR-compliant datasets for analytics, ensuring data quality and semantic consistency.
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