Overview
At NTT DATA, we are a global team of over 140,000 professionals, operating in more than 50 countries and serving diverse industries including telecommunications, finance, public sector, healthcare, and more. We are passionate about technology and innovation, and we believe in personalized, merit-based career growth.
We are expanding our capabilities in Conversational AI, building intelligent assistants across voice and text channels, web, mobile apps, WhatsApp, and Microsoft Teams, using cutting-edge technologies like Generative AI (GPT) and platforms such as Dialogflow CX, BotFramework Composer, Watson Assistant, and Cognigy. If you’re ready to take the next step in your career, we’d love to hear from you. We offer flexibility to suit your needs — whether you prefer working as a freelancer or on a full-time employment contract. The role is fully remote, giving you the freedom to work from anywhere while collaborating with an experienced international team. Hit the apply button and let’s connect!
What You\'ll Be Doing
* Designing and developing BI solutions on top of Snowflake-based data platforms.
* Building and maintaining analytical data models and reporting datasets optimized for Snowflake.
* Writing and optimizing advanced SQL queries for large-scale analytical workloads.
* Developing dashboards and reports using BI tools such as Power BI, Tableau, or Looker.
* Collaborating with Data Engineers and Architects to enable analytics on a centralized data platform.
* Ensuring data quality, performance optimization, and consistency across BI outputs.
* Documenting BI logic, data models, and reporting structures where needed.
What You\'ll Bring Along
* 5+ years of experience in BI development within enterprise environments.
* Strong hands-on experience with Snowflake (data modeling, SQL development, performance optimization).
* Advanced SQL skills, including complex queries and analytical use cases.
* Experience with at least one major BI tool (Power BI, Tableau, Looker, or similar).
* Solid understanding of Data Warehousing concepts (facts, dimensions, star schemas).
* Experience working with cloud-based data platforms and analytics workflows.
* Strong collaboration and communication skills in cross-functional teams.
* Fluent written and spoken English.
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