Data Analytics Architect (Microsttrategy)

Overview of 66degrees

66degrees is a leading consulting and professional services company specializing in developing AI-focused, data-led solutions leveraging the latest advancements in cloud technology. With our unmatched engineering capabilities and vast industry experience, we help the world's leading brands transform their business challenges into opportunities and shape the future of work.

At 66degrees, we believe in embracing the challenge and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.

Overview of Role

We're on the hunt for a seasoned Data Analytics Architect who's not afraid to roll up their sleeves and dive into the data trenches with us. As a Data Analytics Architect, you'll be the mastermind behind designing and implementing cutting-edge data solutions that solve real-world business problems for our clients across various industries. You'll 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.

Qualifications

• 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.
• 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.

66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class