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Tech Stack
Tools & technologiesSQL
About the role
Key responsibilities & impact- Design, build, and maintain reliable and scalable data pipelines, primarily leveraging SQL
- Develop and optimize complex queries to support analytics and reporting needs
- Ensure data accuracy, consistency, and quality across multiple data sources
- Partner with stakeholders to translate business questions into data solutions
- Support experimentation frameworks, including A/B testing and data validation
- Work with analytics teams to deliver datasets used in dashboards and reporting tools (e.g., Metabase or similar)
- Communicate insights effectively through data storytelling, tailoring messages for non-technical audiences
- Collaborate with cross-functional teams in a client-facing consulting environment
- Contribute to best practices in data modeling, documentation, and governance
Requirements
What you’ll need- Solid experience working as a Data Engineer, Analytics Engineer, or similar role
- Advanced proficiency in SQL
- Experience building and maintaining data pipelines and transformations
- Understanding of data modeling concepts
- Experience working with stakeholders to define data requirements
- Strong communication skills, including the ability to present data to non-technical audiences
Benefits
Comp & perks- Flexibility, with remote and hybrid work options (country-dependent)
- Career advancement, with international mobility and professional development programs
- Learning and development, with access to cutting-edge tools, training and industry experts
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SQLdata pipelinesdata transformationsdata modelingA/B testingdata validationcomplex queriesanalyticsreporting toolsdata accuracy
Soft Skills
communication skillsdata storytellingcollaborationstakeholder engagementpresentation skills
