Sourceease Hr Services
Analytical Engineer(F2F Interview)
Skills
2 months ago
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Important information
Contract type:
Permanent
Salary:
₹1,200,000 – ₹1,500,000 / year
Location:
Gurugram, Haryana, India
Work mode:
Onsite
Published on:
19 August 2026
What they need
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.
1. 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
2. Analytics Engineering & Pipeline Support
- Work alongside Data Engineers to understand the ETL/ELT pipelines
3. 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
4. Data Quality, Governance & Security
- Ensure adherence to data governance, security, and understanding of RLS / CLS concepts.
- Maintain documentation
5. Performance Optimization
- Optimize SQL queries, and reporting performance
- Ensure efficient handling of large datasets across distributed systems
6. 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
- Strong Advanced SQL skills (Preferably Redshift DB)
- Data modeling: Dimensional modeling, star schema, normalization concepts
Cloud & Data Platform (AWS-heavy)
Working knowledge of:
DynamoDB
Amazon S3
Redshift
BI & Visualization
Hands-on experience with :
QuickSight
Tableau
Power BI
Preferred / Good-to-Have Skills
- AWS Certification (Cloud Practitioner / Associate)
Experience & Qualifications
- Bachelors degree in Computer Science, Engineering, or related field
- Strong problem-solving and analytical mindset
Soft Skills
- Ability to translate business requirements into data solutions
- Strong collaboration across distributed teams (onshore/offshore)
- Ownership mindset with focus on delivery quality
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