Senior BI Analyst

Role:

We are seeking a hands-on Senior BI Analyst who can evaluate, select, configure, and implement the right Business Intelligence platform based on business and technical requirements.

Key responsibilities:

1.BI Tool Evaluation & Selection

• Evaluate and compare BI platforms such as Power BI, Tableau, Looker, or similar enterprise BI tools.
• Assess BI platforms based on business requirements, usability, scalability, integration capabilities, and cost.
• Support proof-of-concepts and recommend suitable BI platforms based on defined requirements.
• Perform hands-on setup, configuration, and validation of selected BI tools.
• Conduct comparative assessments and document findings and recommendations.

2.Data Modeling & Semantic Layer

• Design and build scalable data models and semantic layers.
• Develop dimensional models, measures, KPIs, and reusable reporting structures.
• Ensure data models support reporting, analytics, performance, and scalability requirements.
• Validate data accuracy, relationships, calculations, and business logic.
• Apply BI data modeling and semantic layer best practices.

3.Dashboard & Reporting Development

• Build interactive dashboards, reports, and visualizations for business and operational users.
• Develop meaningful KPIs and reporting solutions based on business requirements.
• Connect BI platforms to databases, cloud data warehouses, APIs, and enterprise data sources.
• Troubleshoot data connectivity, reporting, and dashboard performance issues.
• Optimize dashboards and reports for usability, performance, and data accuracy.

4.Collaboration & Delivery

• Partner with business stakeholders, data engineers, and architects to understand and translate reporting requirements.
• Convert business requirements into scalable BI solutions.
• Collaborate with technical teams on data availability, source systems, and integration requirements.
• Define BI standards and best practices for data modeling, dashboard design, performance, governance, and data accuracy.
• Support implementation activities from BI platform evaluation through production delivery.

5.Data Validation & Performance Optimization

• Perform data quality validation and reconciliation across BI reports and underlying data sources.
• Identify and troubleshoot data inconsistencies and reporting issues.
• Conduct BI performance analysis and implement optimization recommendations.
• Support testing of BI solutions, including functional, data, and performance validation.
• Ensure BI solutions meet defined business and technical requirements.

Required technical skills and competencies:

• 4–6+ years of experience in BI, analytics, or reporting.
• Strong hands-on dashboard development and data modeling experience.
• Strong hands-on experience with Power BI, Tableau, Looker, or comparable enterprise BI platforms.
• Strong SQL skills with experience working with cloud data warehouses and enterprise data sources.
• Experience with semantic modeling and dimensional modeling.
• Strong understanding of KPIs, measures, and dashboard development.
• Experience evaluating BI tools and supporting tool selection, setup, and implementation.
• Experience working with business and technical stakeholders.
• Strong understanding of BI reporting, data validation, and performance optimization.

Must have skills:

• Power BI, Tableau, Looker, or similar BI platforms.
• Strong SQL.
• Data Modeling.
• Semantic Modeling.
• Dimensional Modeling.
• Dashboard Development.
• Reporting & Analytics.
• KPI and Measures Development.
• BI Tool Evaluation and Selection.
• Data Validation.
• Performance Optimization.
• Business and Technical Stakeholder Management.

Good to have skills:

• Snowflake or other cloud data warehouses.
• Power BI DAX.
• Power Query.
• Advanced Tableau calculations and modeling.
• dbt.
• Modern data transformation tools.
• Azure, AWS, or GCP.
• Experience conducting BI tool proof-of-concepts.
• Comparative BI platform assessments.
• Data quality validation.
• BI performance tuning.

Desired attributes:

• Strong analytical and problem-solving skills with a hands-on approach.
• High attention to detail with a strong focus on data accuracy and usability.
• Effective communicator who can translate business requirements into practical BI solutions.
• Strong stakeholder collaboration and relationship-building skills.
• Comfortable working in a fast-paced, distributed environment with evolving priorities.
• Strong ownership mindset and ability to independently drive BI evaluation and implementation activities.
• Proactive approach to identifying opportunities for BI improvement and optimization.
• Strong focus on delivering scalable, reliable, and user-friendly BI solutions.