Data Analyst

Quick Facts

• Role: Data Analyst

• Focus: IT infrastructure and asset data analytics, ETL/ELT pipelines, and dashboarding

Description

Design, build, and maintain interactive dashboards to deliver metrics on enterprise infrastructure, assets, and operational risks. Develop and optimize robust ETL/ELT data transformation pipelines for massive volumes of asset and infrastructure data, and write complex optimized SQL to extract insights from multi-source databases. Evaluate frontier AI/GenAI tools and LLM framework integrations to improve data processing workflows, analytical modeling, and operational efficiency.

Responsibilities

• Build and maintain interactive Power BI (or equivalent) dashboards

• Develop, optimize, and maintain ETL/ELT transformation pipelines

• Engage stakeholders to identify requirements and resolve complex data challenges

• Write complex optimized SQL queries for analysis and insight extraction

• Integrate AI & automation tools to improve data workflows

• Support data quality through mappings, transformations, and schema normalizations

Requirements

• At least 4 years in Data Analytics with strong quantitative and qualitative analytical skills

• Advanced production-grade SQL for complex querying and analytical operations

• Robust ETL/ELT pipeline experience using PySpark/Databricks/Snowflake (or equivalent)

• Hands-on experience with large-scale IT infrastructure or asset datasets

• Dashboarding using Power BI (or Tableau/Qlik) to tell business narratives with data

• Excellent oral and written communication skills

• Practical knowledge of frontier AI technologies, Generative AI tools, and LLM framework integrations

• Upper-intermediate English level

Benefits

• Professional growth (mentorship, TechTalks, personalized growth roadmaps)

• Competitive USD-based compensation and budgets for education/fitness/team activities

• Exciting projects with Fortune 500 enterprises and product brands

• Flextime with remote and office options