Data Analytics Architect (Power BI), Contract

Remote, United States

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66degrees

66degrees is a leading consulting and professional services company specialized in delivering Data and AI services and solutions to enterprise companies.

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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.

Overview of Role

66degrees is seeking a senior contractor - Data Analytics Architect (Power BI) to engage on a 4+ months of remote assignment for approximately 45 hours per week with the potential to extend.

Responsibilities

  • Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
  • Work with Clients to enable them on the Power BI Platform, teaching them how to construct an analytics ecosystem in Power BI 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 Power BI to design and develop interactive and visually appealing dashboards and reports for end-users.
  • Write clean, efficient, and scalable code (DAX, M, 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 of experience in data analytics and visualization.

Excellent comprehension of Power BI and its implementation, with additional analytics platform experience a major plus - Looker preferred.

  • 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 using star schemas, ETL/ELT 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.
  • Microsoft Power BI certifications and any other cloud or 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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: AWS Azure Big Data Computer Science Consulting Data Analytics Data visualization dbt ELT Engineering ETL GCP Google Cloud Looker Power BI Python SQL Teaching

Regions: Remote/Anywhere North America
Country: United States

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