We are looking for an experienced Analytics Engineer - Senior Associate to design, develop, and enhance scalable analytics and reporting solutions. The role will focus on transforming complex data into reliable, business-ready datasets, dashboards, and actionable insights using Amazon QuickSight, SQL, AWS data services, and modern analytics technologies.
The ideal candidate will have strong hands-on analytics engineering skills, experience building executive and operational dashboards, and exposure to AI/Generative AI capabilities that can improve analytics, automation, and data-driven decision-making.
Key Responsibilities
- Design and develop interactive dashboards, reports, KPIs, and visualizations using Amazon QuickSight.
- Build scalable analytical datasets and semantic/data models to support reporting and self-service analytics.
- Develop complex SQL queries for data extraction, transformation, validation, and analysis.
- Work with AWS data platforms and services such as Amazon Redshift, S3, Athena, Glue, and QuickSight.
- Optimize dashboard performance, queries, datasets, and underlying data models.
- Translate business requirements into meaningful KPIs, metrics, dashboards, and analytical solutions.
- Perform data profiling, reconciliation, validation, and root-cause analysis to ensure data accuracy.
- Partner with Data Engineering, Product, Business, and Platform teams to deliver end-to-end analytics solutions.
- Support automation of recurring analytics/reporting processes.
- Apply appropriate access controls and data security practices for dashboards and datasets.
- Explore and implement AI/Generative AI-assisted analytics use cases, such as natural-language insights, automated summarization, anomaly identification, and intelligent reporting.
- Troubleshoot production analytics issues and continuously improve reporting performance and user experience.
- Document data definitions, business rules, KPIs, and reporting logic.
Required Technical SkillsCore Skills- Strong Amazon QuickSight experience, including dashboards, datasets, calculated fields, filters, parameters, and visualization design.
- Advanced SQL and strong understanding of relational/data warehouse concepts.
- Experience with Amazon Redshift or comparable cloud data warehouses.
- Strong knowledge of data modeling, dimensional modeling, KPIs, metrics, and reporting design.
- Experience handling large datasets and optimizing analytical queries.
- Strong analytical, troubleshooting, and data-validation skills.
AWS / Data- Amazon QuickSight
- Amazon Redshift
- Amazon S3
- Amazon Athena
- AWS Glue
- IAM/security fundamentals
- ETL/ELT concepts
Additional Analytics Skills- Experience with Tableau and/or Power BI is desirable.
- Python/Pandas knowledge for analytics and automation is preferred.
- Understanding of APIs, JSON, CSV, Parquet, and common data integration patterns.
- Familiarity with Git and CI/CD practices is an advantage.
AI / Generative AI ExposureCandidates should have working knowledge or practical exposure to areas such as:
- Generative AI and LLM-based analytics
- Natural-language querying and insight generation
- AI-assisted dashboard/report summarization
- Data classification and automated analytics workflows
- Prompt engineering fundamentals
- RAG (Retrieval-Augmented Generation) concepts
- Exposure to AWS AI services such as Amazon Bedrock is a plus
- Python-based integration with AI/ML services is desirable
AI expertise is
not expected to be the primary specialization, but the candidate should be comfortable adopting AI capabilities within modern analytics solutions.
Experience & Qualifications- Typically 4-7+ years of experience across analytics, BI, data engineering, or related areas.
- Strong hands-on experience delivering production-grade dashboards and analytical solutions.
- Experience working in an AWS-based data ecosystem.
- Ability to independently understand requirements and convert them into technical analytics solutions.
- Strong communication skills with the ability to work with technical teams and business stakeholders.
- Bachelor's degree in Computer Science, Engineering, Information Systems, Data/Analytics, or a related field, or equivalent practical experience.
Preferred ProfileAn ideal candidate would have a skill mix roughly centered around:
QuickSight + SQL + Data Modeling + AWS/Redshift + BI/Visualization + Python/Automation + AI/GenAI exposureThis keeps the role firmly
Analytics Engineering focused, while adding enough AWS and AI capability to make it suitable for a modern analytics organization.
We offer you a competitive total rewards package, continuing education & training, and tremendous potential with a growing worldwide organization.
DISCLAIMER:Nothing in this job description restricts management's right to assign or reassign duties and responsibilities of this job to other entities; including but not limited to subsidiaries, partners, or purchasers of Alight business units.
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