Posted on: 28/10/2026
KEY ACCOUNTABILITIES :
1) Business Intelligence and AI for BI capabilities :
- Design, develop, test, automate, and launch BI, conversational analytics, and AI-driven summarization solutions using Tableau, Looker, BigQuery, and related tools.
- Build technical architectures, semantic models, prototypes, and governed data experiences for trusted natural-language querying, dashboard summarization, and scalable decision support.
- Lead design, code, model, and process reviews to ensure compliance with enterprise standards, AI governance, approved extensions, and performance best practices.
- Drive end-to-end delivery across discovery, requirements gathering, estimation, solution design, development, UAT, deployment, and post-go-live monitoring.
- Define business terms, metadata, reference questions, and testing assets to improve the accuracy, trust, and repeatability of AI-enabled BI outputs.
- Partner with technical teams to optimize data models, granularity, labels, and performance, with a focus on scalable star-schema-based designs.
- Establish validation processes including training sets, golden queries, user testing, and accuracy thresholds to support production-ready AI for BI capabilities.
- Translate business needs into governed BI, NLQ, and AI summarization use cases with clear success measures and business value.
- Collaborate with business stakeholders, product teams, BI leadership, and governance groups to shape requirements, prioritize initiatives, and recommend best practices.
- Lead workshops, pilot testing, feedback loops, issue triage, and continuous improvement efforts to strengthen usability, trust, adoption, and solution quality.
2) Business Intelligence (Semantic Layer) :
- Design, develop, and maintain scalable Looker semantic layers using advanced LookML for trusted self-service analytics.
- Build and optimize complex SQL queries in BigQuery to support data models, semantic layers, and business analysis.
- Translate business requirements into intuitive data models and LookML structures using star and snowflake schema principles.
- Identify and resolve performance bottlenecks across LookML models, Explores, and BigQuery queries to improve user experience.
- Implement data governance, semantic consistency, access controls, and security within the Looker semantic layer.
- Drive Git-based development, code reviews, change management, and CI/CD practices for reliable BI deployments.
- Lead technical design discussions and code reviews to ensure architecture, data quality, and performance standards.
- Partner with product teams and business stakeholders to shape requirements and deliver analytical solutions.
- Communicate technical concepts, design trade-offs, and solution impacts clearly to technical and non-technical audiences.
- Contribute to strategic decisions, best practices, and data-driven insights that strengthen the analytics ecosystem.
MINIMUM QUALIFICATIONS :
- Education : Bachelors degree from an accredited university (full time) in Business Analytics, Computer Science, Information Systems, Data Science, or a related field.
- Experience : 8+ years of total experience with 6+ years of relevant experience designing and delivering BI and analytics solutions for business stakeholders.
- Expert-level skills in Tableau, SQL, Google Looker, Python, and BigQuery.
- Demonstrated experience building governed analytics products, semantic models, and scalable reporting solutions that support self-service analytics and decision-making.
- Strong communication skills with the ability to translate business requests into technical requirements and explain trade-offs across tools, data models, governance, and architecture options.
- Strong knowledge of dimensional modelling, metadata management, data governance, data warehousing, and enterprise data platforms.
- Proven ability to influence without authority and to partner effectively with business leaders, technical teams, and governance stakeholders to deliver high-value solutions.
PREFERRED QUALIFICATIONS :
- Thought-driven leadership to successfully deliver scalable team management and business solutions.
- Knowledge of at least one other programming language such as Python is a plus.
- Take the initiative to do the right thing - doesn't walk past a problem.
- Consultant mindset - able to challenge with courage and influence upwards and with peers. Agile learner - has passion and curiosity to learn new things and understand the "why".
ELIGIBILITY :
- Applicants must meet minimum age qualifications in the country in which the job is located.
Did you find something suspicious?
Posted by
Recruiter
Last Active: NA as recruiter has posted this job through third party tool.
Posted in
Data Analytics & BI
Functional Area
Data Analysis / Business Analysis
Job Code
1680677