FAQs
What is the primary responsibility of the Senior Power BI Architect?
The primary responsibility is to lead analytics development for internal and external/customer stakeholders, supporting analytics activities in category management, marketing, product management, and sales using Power BI.
What qualifications are required for this position?
A degree in Management Information Systems (MIS), Business Administration, Computer Science, Data Science, or equivalent is required, along with at least 5 years of Power BI architecture experience.
Is Azure experience a requirement for the role?
Azure experience is considered a plus but not a strict requirement for the role.
What additional skills are considered advantageous for candidates?
Additional advantageous skills include graphic design/data visualization, data governance experience, SQL, Databricks, and R.
How does the company support the learning and development of its employees?
The company encourages a desire to learn and solve problems, fostering an environment where employees can further develop their skills and expertise.
What kind of data experience is expected for this role?
Candidates are expected to have experience working with large datasets, performing data analysis, profiling, and quality assessments to ensure data integrity.
Are there opportunities for collaboration with other teams within the organization?
Yes, the Senior Power BI Architect will work directly with various internal teams and external stakeholders to enhance analytics services and optimize data flows.
Is strong project management experience required?
Yes, strong project management skills in scope, requirement gathering, prioritization, and organization are required for this position.
What tasks will the Senior Power BI Architect perform related to data pipelines?
The role involves partnering with Azure data architects to optimize data flows and establishing new pipelines for external data sources.
What type of documentation skills are necessary for this role?
Strong documentation skills, particularly in technical writing, are necessary for effectively communicating data availability, lineage, and quality to business units.