This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a BI Engineer based in India.
This role is an opportunity for an experienced BI professional to help shape enterprise analytics solutions within a large-scale cloud data modernization initiative.
You will design scalable reporting frameworks, build impactful dashboards, and transform complex data into actionable business insights.
The position focuses on semantic modeling, data governance, and enabling self-service analytics for business stakeholders.
You will collaborate with data engineering and business teams to define trusted metrics and improve decision-making capabilities.
The ideal candidate combines technical expertise in BI platforms with strong storytelling and stakeholder communication skills.
This is a contract opportunity for someone passionate about analytics innovation, cloud technologies, and AI-assisted data experiences.
Accountabilities:
The BI Engineer will lead the analytics and reporting workstream by designing, developing, and optimizing business intelligence solutions that support strategic decisions. The role requires expertise in dashboard development, semantic modeling, data governance, and translating business requirements into reliable analytics products.
- Design and develop executive dashboards covering key business, operational, and performance metrics.
- Build self-service analytics capabilities that enable business users to explore and understand data independently.
- Develop and optimize Amazon QuickSight semantic datasets, including SPICE capacity management, refresh processes, calculated fields, parameters, and performance tuning.
- Migrate existing Power BI dashboards and reports to Amazon QuickSight while ensuring continuity and improved performance.
- Partner with data engineering teams to define semantic layers, canonical data models, and standardized enterprise KPI definitions.
- Contribute to business glossaries, data dictionaries, and KPI catalogs to ensure consistency across reporting solutions.
- Enable natural language and AI-assisted analytics experiences through structured semantic definitions and knowledge repositories.
- Establish dashboard governance standards, security controls, and reporting best practices.
- Conduct dashboard validation, gather stakeholder feedback, and continuously refine analytics solutions.
- Support user acceptance testing, production deployments, documentation, knowledge transfer, and post-production activities.
Requirements:
The ideal candidate has strong experience in business intelligence, analytics engineering, and cloud-based reporting environments. They should be comfortable working with complex data models, collaborating with stakeholders, and delivering scalable analytics solutions.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
#LI-CL1
