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Data Analytics Architect
66degrees
posted 19hr ago
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Job Description
Were on the hunt for a seasoned Data Analytics Architect whos not afraid to roll up their sleeves and dive into the data trenches with us. As a Data Analytics Architect, youll be the mastermind behind designing and implementing cutting-edge data solutions that solve real-world business problems for our clients across various industries. Youll be the bridge between the technical and the business worlds, translating complex data insights into actionable strategies that drive tangible results.
Responsibilities - Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
- Work with Clients 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, a business intelligence platform, 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 either Looker or MicroStrategy capabilities and their implementation, with additional analytics platform experience a major plus.
- 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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