Analytics Engineer
Loyalty Juggernaut, Inc (company site, opens in a new tab)1–3 yrsHyderabadOn-siteDirect career pageEst. 6–12 LPA
Posted 17h ago
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Job description
Structured overview of role & requirements
About This Role
- Develop and maintain SQL-based data transformation pipelines and dimensional data models for analytics-ready datasets supporting enterprise loyalty programs.
- Implement data quality checks, validation rules, and reconciliation processes to ensure accuracy and reliability of analytical data.
- Collaborate with Data Engineering, BI, Product, and Client teams to deliver trusted data solutions, support dashboards, and optimize data queries and workflows.
Minimum Requirements
- 1–3 years of experience in Analytics Engineering, Data Engineering, BI Development, or a similar role.
- Bachelor's degree in Computer Science, Engineering, IT, Statistics, Mathematics, or a related field.
- Strong SQL skills including complex queries, joins, window functions, and query optimization.
- Experience with data transformation frameworks such as dbt and understanding of data warehousing concepts including dimensional modelling and star schemas.
Ideal Candidate Profile
- Experienced in building scalable data models and analytical datasets in cloud environments handling large-scale transaction and event-driven data.
- Proficient in bridging technical and business needs by translating business requirements into reusable, standardized data solutions.
- Comfortable working cross-functionally with multiple teams (Data Engineering, BI, Product) in an enterprise SaaS or customer loyalty data context.