Back
Tier-1 employer, metro role, popular mid-level analytics title and broad required skills raise competition.
Analytics and cloud data engineering skills transfer across industries, yielding moderate fit sensitivity.
Explicit 5+ years plus mandatory BI, SQL, GCP, Terraform, and pipeline skills creates strict filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design and build of end-to-end analytical ecosystem including reports and dashboards with Power BI or Qlik Sense.
Translate complex business needs into scalable, high-quality analytical solutions and manage cloud data environments using Terraform and GCP tools.
Conduct requirements gathering, ensure analytic quality through data validation, and contribute to peer reviews and documentation for analytical processes.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
5+ years experience with visualization tools such as Power BI or Qlik Sense including advanced features.
3+ years data engineering experience on Google Cloud Platform with focus on security and efficiency.
Expert-level proficiency in SQL (BigQuery preferred) and Python; experience with query optimization, data cleaning, and version control (Git).
Experienced in independent ownership of analytical projects from start to finish including stakeholder engagement and solution delivery.
Technical proficiency combining data analysis, cloud infrastructure management, and automation (Terraform, CI/CD).
Able to create clear, scalable analytical models and effectively communicate findings to diverse audiences.