





Tier-1 brand, popular data analyst title, metro location, and mid-level generalist skills increase competition.
Analytics and cloud skills are transferable, but tool-specific experience moderately limits cross-industry fit.
Multiple mandatory skills and explicit 5+ years requirement make candidate filtering strict.
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Lead the design and build of end-to-end analytical ecosystems including reports and dashboards using Power BI or Qlik Sense.
Manage data analysis, cleaning, optimization, and provisioning cloud resources on GCP using Terraform, DataForm or Apache Airflow.
Translate complex business needs into scalable data products and deliver high-quality insights with robust data validation.
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
5+ years of experience with visualization tools such as Power BI or Qlik Sense.
3+ years of Data Engineering experience on Google Cloud Platform (GCP).
Expert-level proficiency in SQL (BigQuery preferred) and Python.
Experienced in independently managing full cycle analytical projects from inception to delivery.
Skilled in cloud operations, query optimization, and version control (Git).
Able to communicate complex data insights clearly to diverse stakeholders and lead requirements gathering sessions.