Senior Data Analyst: AWS Analytics & Dashboards Lead

Hexaware Technologies, Inc

Atlanta (GA)

On-site

USD 90,000 - 130,000

Full time

14 days+
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Job summary

Hexaware Technologies, Inc. in Atlanta is seeking a Senior Data Analyst to lead complex analyses, define KPI frameworks, and elevate analytics standards across AWS data platforms.

You will own high-impact dashboards, mentor analysts, and collaborate with engineering to ensure reliable, performant data. Responsibilities include designing KPIs, tuning SQL on RDS/Redshift, building reproducible Python analyses, and driving data quality with automated checks and governance.

Qualifications

  • Expert SQL on RDS/Oracle/Redshift with tuning and cost awareness.
  • Strong BI development and data storytelling, UX-focused dashboards.
  • Python for analysis and automation; reusable analytics functions.
  • Solid statistics for inference and experiment design.
  • Deep understanding of data modeling and semantic layers.
  • Translate business needs into robust analytical solutions through collaboration.

Responsibilities

  • Lead KPI design and governance of semantic layers and dashboards.
  • Deliver complex analyses using advanced SQL across AWS data platforms.
  • Develop reproducible analyses in Python and automate workflows.
  • Define data quality standards; implement automated checks and alerts.
  • Mentor analysts and review artefacts for accuracy and business relevance.
  • Collaborate with data engineers on contracts and schema evolution.

Skills

SQL expert
BI development
Python for analysis
Statistics for inference
Data modeling
Stakeholder mgmt

Tools

AWS Glue Data Catalog
Kinesis/SQS
QuickSight/Tableau

Job description

Hexaware Technologies, Inc. in Atlanta is seeking a Senior Data Analyst to lead complex analyses, define KPI frameworks, and elevate analytics standards across AWS data platforms.

You will own high-impact dashboards, mentor analysts, and collaborate with engineering to ensure reliable, performant data. Responsibilities include designing KPIs, tuning SQL on RDS/Redshift, building reproducible Python analyses, and driving data quality with automated checks and governance.

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