Senior Data Analyst
Title : Senior Data Analyst
Location : Remote in EU
Working hours : 10:00CET-18:30 CET
I am seeking a Senior Data Analyst to play a pivotal role in shaping how data drives customer success. This position offers the opportunity to work with cutting-edge tools, collaborate across teams, and make a real impact on product development and customer experience.
About the Role
As a Senior Data Analyst, you will build and enhance data visualizations, empower internal teams and customers with actionable insights, and contribute to the development of a robust reporting suite. Collaborating with product, engineering, and customer success teams, your work will directly influence customer outcomes and business growth.
What You'll Do
Your key responsibilities will include:
- Data Visualization: Build and expand embedded reporting capabilities using tools like Looker, extending the underlying LookML data model to create meaningful insights.
- Data Quality and Structure: Collaborate with product and engineering teams to improve data pipelines and optimize data structure feeding into the reporting platform.
- Process Automation: Productionize reporting workflows, including version control, testing, and code deployment.
- Stakeholder Collaboration: Prioritize and manage product and customer requests, offering realistic timelines and regular progress updates.
- Training and Enablement: Deliver training sessions for internal teams and customers, ensuring they can maximize the value of the reporting suite.
What We're Looking For
Required Qualifications:
- Bachelor’s degree or equivalent business experience in Data Analytics or related field.
- 4+ years of experience in an analytics role.
- Expertise in creating data visualizations and complex data models using tools like Looker or Power BI.
- Experience in Looker
- Proficiency in SQL, with a strong preference for MySQL experience.
- Attention to detail and confidence with stakeholders across diverse teams.
Preferred Qualifications:
- Experience with data warehousing architecture and data modelling best practices.
- Familiarity with modern data warehouses (e.g., Redshift).
- Exposure to AWS services and ETL processes.
- Experience in creating and maintaining customer-facing reporting suites.
What We Offer
This is a dynamic role where you’ll have the opportunity to shape the future of data analytics within the organization. Whether you prefer working remotely or from one of our corporate locations, we provide flexibility to help you thrive.
Take the lead in advancing data-driven decision-making, optimizing processes, and delivering insights that make a difference.
Apply now and bring your data expertise to a growing and impactful team!
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Seniority level
Mid-Senior level -
Employment type
Full-time -
Job function
Analyst and Engineering -
Industries
Transportation, Logistics, Supply Chain and Storage and IT Services and IT Consulting
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