JD Analytics Engineer

Experience & Expectations :
Leverage extensive experience (2 to 4 years overall Analytics experience).
We are seeking a hands-on Analytics Engineer to bridge the gap between Data Engineering and Business Analytics within the Alight ecosystem. The role focuses on transforming raw data into analytics-ready datasets, enabling scalable reporting, and driving data-driven insights across different Analytics domains.
The ideal candidate will work closely with Data Engineers / BI teams, and Product stakeholders to build robust semantic models, and support enterprise analytics platforms.
Data Modeling & Transformation
Develop and maintain analytics-ready data models (dimensional/star schema) for reporting and dashboards
Ensure consistency, reusability, and scalability of data models
Analytics Engineering & Pipeline Support
Work alongside Data Engineers to understand the ETL/ELT pipelines
BI & Reporting Enablement
Design and optimize datasets for BI tools (AWS QuickSight, Tableau, Power BI)
Partner with BI developers to build dashboards, KPIs,



and analytical reports
Support ad-hoc analytics and business use cases
Data Quality, Governance & Security
Ensure adherence to data governance, security, and understanding of RLS / CLS concepts.
Maintain documentation
Performance Optimization
Optimize SQL queries, and reporting performance
Ensure effective handling of large datasets across distributed systems
Cross-functional Collaboration
Work with Product Owners, Data Engineers, and Analysts to translate business requirements into technical solutions
Support stakeholder teams across different Alight domains
Contribute to Agile delivery

Critical Technical Skills (Alight Ecosystem Focus)
Core Data & Analytics
Robust Advanced SQL skills (Preferably Redshift DB)
Data modeling: Dimensional modeling, star schema, normalization concepts

Cloud & Data Platform (AWS-heavy)
Working knowledge of:
DynamoDB
A

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