Data Analytics Engineer
Description For Data Analytics Engineer
66degrees is a leading consulting and professional services company specializing in developing AI-focused, data-led solutions leveraging the latest advancements in cloud technology. We help the world's leading brands transform business challenges into opportunities and shape the future of work. We believe in embracing challenges and winning together, fostering a culture of innovation and growth.
As a Data Analytics Engineer at 66degrees, you will be responsible for building and implementing robust data analytics solutions using leading Business Intelligence platforms such as Looker, MicroStrategy, and PowerBI. You'll collaborate with cross-functional teams to gather requirements, design scalable architectures, and deliver high-quality solutions that meet business needs.
Key responsibilities include:
- Enabling clients on BI platforms and teaching them to construct analytics ecosystems
- Advising on developing analytics centers of excellence
- Designing and developing interactive dashboards and reports
- Writing clean, efficient, and scalable code (LookML, DAX, MDX, or similar)
- Conducting performance tuning and optimization
- Staying updated with the latest trends in cloud data analytics
- Collaborating with other teams for seamless integration
- Providing technical guidance and mentorship
Qualifications:
- 5+ years of experience as a Data Analytics Engineer
- Focus on PowerBI, with experience in Looker or MicroStrategy
- Understanding of BI tool security capabilities
- 3+ years in designing interactive dashboards and reports
- Strong problem-solving and communication skills
- Business Intelligence platform certifications are a plus
- Bachelor's or Master's degree in Computer Science or related field
66degrees is an Equal Opportunity employer committed to diversity and privacy protection in accordance with CCPA.
Responsibilities For Data Analytics Engineer
- Work with Clients to enable them on leading business intelligence platforms (Looker, MicroStrategy, PowerBI), 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 business intelligence platforms, to design and develop interactive and visually appealing dashboards and reports for end-users
- Write clean, efficient, and scalable code (LookML, DAX, MDX, or similar)
- 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
Requirements For Data Analytics Engineer
- 5+ years of experience as a Data Analytics Engineer or a similar role, with a focus on PowerBI, along with some past or current in Looker or MicroStrategy
- Comprehension of security capabilities in business intelligence tools and supporting multiple personas in the platform
- 3+ years in MicroStrategy, PowerBI, Looker, or other business intelligence tools for designing interactive dashboards and reports
- 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
- Bachelor's or Master's degree in Computer Science, Information Systems, or a related field
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