Data Analytics Architect

Summary

Join 66degrees, a leading consulting firm, as a Data Analytics Architect. You will design and implement cutting-edge data solutions for clients across various industries. This role requires collaboration with stakeholders, client enablement on Looker, advising on analytics centers of excellence, and developing dashboards and reports. You will leverage LookML and Python, conduct performance tuning, and stay current with industry trends. The ideal candidate possesses a Bachelor's or Master's degree, 5+ years of experience, and strong SQL and Python skills.

Requirements

• Bachelor's or Master's 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
• 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
• 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

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

Preferred Qualifications

• 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
• Experience working with dbt or dataform is a plus
• 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