Job Title: Architect - Power BI
Tiger Analytics is a global AI and analytics consulting firm. With data and technology at the core of our solutions, our 3200+ tribe is solving problems that eventually impact the lives of millions globally. Our culture is modeled around expertise and respect with a team-first mindset. Headquartered in Silicon Valley, you’ll find our delivery centers across the globe and offices in multiple cities across India, the US, the UK, Canada, and Singapore, including a substantial remote global workforce.
We’re Great Place to Work-Certified™. Working at Tiger Analytics, you’ll be at the heart of an AI revolution. You’ll work with teams that push the boundaries of what is possible and build solutions that energize and inspire.
Curious about the role? What your typical day would look like?
As an Architect, you will work to deliver the vision of the department through process, development, and lifecycle.; Seamlessly switch between roles of an Individual Contributor, team member, and Power BI Architect as demanded by each project to define, design, and deliver actionable insights.
On a typical day, you might
● Formulate and recommend standards for achieving maximum performance and efficiency in the Data Management ecosystem.
● Develop and maintain the Data layer (DM or DWH) for the aggregation, validation, and presentation of data for reporting layer
● Develop or coach the team members to develop reports, dashboards, and related database views/stored procedures.
● Evangelize self-service BI and visual discovery
● Interview stakeholders and develop a BI roadmap for success based on project prioritization and budget.
● Design & promote best BI practices by championing data quality, integrity, and reliability.
● Coach BI team members as a technology SME.
● Provide on-the-job training for new or less experienced team members.
● Partner with the sales and presales team to build BI-related solutions and proposals.
● Ideate an end-end architecture for a given problem statement.
● Interact and collaborate with multiple teams (Data Science, Consulting & Engineering) and various stakeholders to meet deadlines, to bring Analytical Solutions to life.