Aws insights engineer (dashboards & analytics)

Job Title: AWS Insights Engineer (Dashboards & Analytics)
Location:
India
Employment Type:
Contract
Role Overview
We are looking for an
AWS Insights Engineer
with a strong focus on
designing, building, and maintaining dashboards and analytics solutions
using AWS services. This role is centered on turning cloud data into
clear, reliable, and actionable visual insights
for business and technical stakeholders.
You will work closely with data engineers, product teams, and business users to define metrics, model data, and deliver high-impact dashboards primarily using
AWS-native analytics and visualization tools.
Key Responsibilities
Design, build, and maintain
interactive dashboards and reports
using
AWS Quick Sight
and related AWS analytics services.
Partner with stakeholders to define
KPIs, metrics, and data visualization requirements.
Query and model data using
Amazon Athena, Redshift, and S3-based data lakes.
Ensure dashboards are
accurate, performant, and easy to interpret
for business users.
Implement data refresh strategies, permissions, and row-level security in Quick Sight.
Validate data quality and consistency across dashboards and source systems.
Optimize queries and datasets for performance and cost efficiency.
Document dashboard logic, metric definitions, and data sources.
Support ad-hoc analysis and insight generation as business needs evolve.
Required Skills & Experience
Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent experience.
3–6+ years
experience in analytics, BI, or cloud data roles.
Strong hands-on experience with
AWS analytics and visualization , including:
Amazon Quick Sight
Amazon Athena
Amazon Redshift
Amazon S3
Excellent
SQL
skills for analytics and reporting.
Experience designing dashboards for
executive and operational audiences.
Understanding of data modeling concepts (facts, dimensions, aggregates).
Ability to translate business questions into meaningful visualizations.
Strong communication skills and comfort working with global teams.
Nice to Have
Experience with
AWS Glue
or lightweight ETL processes.
Familiarity with
Cloud Watch
metrics and operational dashboards.
AWS certifications (Data Analytics, Solutions Architect, or equivalent).
Exposure to other BI tools (Tableau, Power BI) in addition to Quick Sight.
Basic Python knowledge for data preparation or validation.
Primary Toolset
Visualization:
Amazon Quick Sight
Query & Analytics:
Athena, Redshift
Storage:
Amazon S3
Data Prep:
AWS Glue, SQL
Monitoring:
Cloud Watch
What Success Looks Like
Dashboards are trusted, performant, and widely used.
Stakeholders can self-serve insights without manual reporting.
Metrics are clearly defined, documented, and consistent.
Data storytelling is clear, concise, and decision-oriented.
Compensation & Benefits
Competitive salary (India market-aligned)
Health insurance & statutory benefits
Flexible work hours
Learning budget and AWS certification support