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14 66degrees Jobs
Data Analytics Architect (Looker)
66degrees
posted 2d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
- Work with Clientes to enable them on the Looker Platform, teaching them how to construct an analytics ecosystem in Looker from the ground up.
- Advise clients on how to develop their analytics centers of excellence, defining and designing processes to promote a scalable, governed analytics ecosystem.
- Utilize Looker to design and develop interactive and visually appealing dashboards and reports for end-users.
- Write clean, efficient, and scalable code (LookML, Python as applicable)
- Conduct performance tuning and optimization of data analytics solutions to ensure efficient processing and query performance.
- Stay up to date with the latest trends and best practices in cloud data analytics, big data technologies, and data visualization tools.
- Collaborate with other teams to ensure seamless integration of data analytics solutions with existing systems and processes.
- Provide technical guidance and mentorship to junior team members, sharing knowledge and promoting best practices.
- Bachelors or Masters degree in Computer Science, Information Systems, or a related field.
- Proven track record as a Data Analytics Architect or a similar role, with a minimum of 5 years experience in data analytics and visualization.
Excellent comprehension of Looker and its implementation, with additional analytics platform experience a major plus - especially MicroStrategy.
- Experience with Google Cloud and its data services is preferred, however experience with other major cloud platforms (AWS, Azure) and their data services will be considered.
- Strong proficiency with SQL required.
- Demonstrated experience working with clients in various industry verticals, understanding their unique data challenges and opportunities.
- Excellent programming skills in Python and experience working with python-enabled capabilities in analytics platforms.
- Solid understanding of data modeling, ETL processes, and data integration techniques. Experience working with dbt or dataform is a plus.
- Strong problem-solving skills and the ability to translate business requirements into technical solutions.
- Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
- Google Cloud certifications and any analytics platform certifications are a plus.
- A desire to stay ahead of the curve and continuously learn new technologies and techniques.
Employment Type: Full Time, Permanent
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