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BI Engineer (Contract)
techholding • India, Remote
No Relocation
Posted: July 17, 2026
Job Description
About the Role
We are looking for a Senior BI Engineer to join our team and lead the analytics and reporting workstream of a large-scale AWS data platform modernization. You will be responsible for designing semantic data models, standardizing enterprise KPI definitions, building executive and self-service dashboards, migrating legacy Power BI workloads to Amazon QuickSight, and enabling natural language and AI-assisted analytics experiences.
The ideal candidate has deep expertise in Amazon QuickSight, dimensional data modeling, semantic layers, and BI storytelling, along with hands-on experience translating complex business requirements into trusted, governed, and scalable reporting solutions.
Location: Remote
Experience Required: 5+ Years
Employment Type: Contract
Key Responsibilities
We are looking for a Senior BI Engineer to join our team and lead the analytics and reporting workstream of a large-scale AWS data platform modernization. You will be responsible for designing semantic data models, standardizing enterprise KPI definitions, building executive and self-service dashboards, migrating legacy Power BI workloads to Amazon QuickSight, and enabling natural language and AI-assisted analytics experiences.
The ideal candidate has deep expertise in Amazon QuickSight, dimensional data modeling, semantic layers, and BI storytelling, along with hands-on experience translating complex business requirements into trusted, governed, and scalable reporting solutions.
Location: Remote
Experience Required: 5+ Years
Employment Type: Contract
Key Responsibilities
- Design and build executive dashboards covering key business, operational, and performance metrics.
- Develop longitudinal cohort analysis and self-service analytics capabilities for business stakeholders.
- Build and optimize Amazon QuickSight semantic datasets, including SPICE capacity, refresh, and performance tuning.
- Migrate prioritized Power BI dashboards and reports to Amazon QuickSight.
- Partner with data engineering to define semantic layers, canonical data models, and standardized enterprise KPI definitions across multiple business units.
- Contribute to the enterprise business glossary, data dictionary, and KPI catalog, ensuring consistent business definitions across all reporting.
- Support natural language and conversational analytics experiences, enabling business users to query metrics in plain language.
- Configure knowledge repositories that leverage the business glossary, KPI catalog, and semantic definitions for AI-assisted data exploration.
- Conduct dashboard validation, user feedback sessions, and iterative refinement with business stakeholders.
- Establish reporting standards, row-level security, and governance for dashboards and datasets.
- Participate in UAT, production deployments, knowledge transfer, and post-production support.
Required Skills & Qualifications
- 5+ years of experience in Business Intelligence, analytics engineering, or a closely related field.
- Strong hands-on expertise with Amazon QuickSight (datasets, SPICE, calculated fields, parameters, RLS, dashboard design).
- Proven experience migrating from Power BI to QuickSight (or comparable BI-to-BI migrations).
- Strong SQL skills, including complex queries, window functions, and performance tuning.
- Solid understanding of dimensional data modeling, semantic layers, and star/snowflake schemas.
- Experience defining and standardizing enterprise KPIs, business glossaries, and data dictionaries.
- Working knowledge of the AWS analytics stack, including Amazon Redshift, Amazon Athena, and Amazon S3 as reporting sources.
- Experience building self-service analytics environments and enabling non-technical business users.
- Strong data storytelling and dashboard UX skills; ability to translate ambiguous business needs into clear, actionable visuals.
- Familiarity with Git, CI/CD, and version-controlled BI development practices.
- Excellent analytical, troubleshooting, stakeholder-management, and communication skills.
Preferred Qualifications
- Familiarity with Amazon Bedrock, natural language / conversational analytics, or LLM-assisted BI.
- Experience with Power BI (DAX, Power Query) for migration analysis.
- Knowledge of AWS Lake Formation, AWS Glue Data Catalog, and metadata/lineage tooling.
- Exposure to predictive analytics outputs and visualizing model results.
- AWS Certification (Data Engineer, Data Analytics Specialty, or Solutions Architect) is a plus.
Additional Content
About the Role
We are looking for a Senior BI Engineer to join our team and lead the analytics and reporting workstream of a large-scale AWS data platform modernization. You will be responsible for designing semantic data models, standardizing enterprise KPI definitions, building executive and self-service dashboards, migrating legacy Power BI workloads to Amazon QuickSight, and enabling natural language and AI-assisted analytics experiences.
The ideal candidate has deep expertise in Amazon QuickSight, dimensional data modeling, semantic layers, and BI storytelling, along with hands-on experience translating complex business requirements into trusted, governed, and scalable reporting solutions.
Location: Remote
Experience Required: 5+ Years
Employment Type: Contract
Key Responsibilities
We are looking for a Senior BI Engineer to join our team and lead the analytics and reporting workstream of a large-scale AWS data platform modernization. You will be responsible for designing semantic data models, standardizing enterprise KPI definitions, building executive and self-service dashboards, migrating legacy Power BI workloads to Amazon QuickSight, and enabling natural language and AI-assisted analytics experiences.
The ideal candidate has deep expertise in Amazon QuickSight, dimensional data modeling, semantic layers, and BI storytelling, along with hands-on experience translating complex business requirements into trusted, governed, and scalable reporting solutions.
Location: Remote
Experience Required: 5+ Years
Employment Type: Contract
Key Responsibilities
- Design and build executive dashboards covering key business, operational, and performance metrics.
- Develop longitudinal cohort analysis and self-service analytics capabilities for business stakeholders.
- Build and optimize Amazon QuickSight semantic datasets, including SPICE capacity, refresh, and performance tuning.
- Migrate prioritized Power BI dashboards and reports to Amazon QuickSight.
- Partner with data engineering to define semantic layers, canonical data models, and standardized enterprise KPI definitions across multiple business units.
- Contribute to the enterprise business glossary, data dictionary, and KPI catalog, ensuring consistent business definitions across all reporting.
- Support natural language and conversational analytics experiences, enabling business users to query metrics in plain language.
- Configure knowledge repositories that leverage the business glossary, KPI catalog, and semantic definitions for AI-assisted data exploration.
- Conduct dashboard validation, user feedback sessions, and iterative refinement with business stakeholders.
- Establish reporting standards, row-level security, and governance for dashboards and datasets.
- Participate in UAT, production deployments, knowledge transfer, and post-production support.
Required Skills & Qualifications
- 5+ years of experience in Business Intelligence, analytics engineering, or a closely related field.
- Strong hands-on expertise with Amazon QuickSight (datasets, SPICE, calculated fields, parameters, RLS, dashboard design).
- Proven experience migrating from Power BI to QuickSight (or comparable BI-to-BI migrations).
- Strong SQL skills, including complex queries, window functions, and performance tuning.
- Solid understanding of dimensional data modeling, semantic layers, and star/snowflake schemas.
- Experience defining and standardizing enterprise KPIs, business glossaries, and data dictionaries.
- Working knowledge of the AWS analytics stack, including Amazon Redshift, Amazon Athena, and Amazon S3 as reporting sources.
- Experience building self-service analytics environments and enabling non-technical business users.
- Strong data storytelling and dashboard UX skills; ability to translate ambiguous business needs into clear, actionable visuals.
- Familiarity with Git, CI/CD, and version-controlled BI development practices.
- Excellent analytical, troubleshooting, stakeholder-management, and communication skills.
Preferred Qualifications
- Familiarity with Amazon Bedrock, natural language / conversational analytics, or LLM-assisted BI.
- Experience with Power BI (DAX, Power Query) for migration analysis.
- Knowledge of AWS Lake Formation, AWS Glue Data Catalog, and metadata/lineage tooling.
- Exposure to predictive analytics outputs and visualizing model results.
- AWS Certification (Data Engineer, Data Analytics Specialty, or Solutions Architect) is a plus.