About the Role:

We are looking for an experienced Senior Business Intelligence Analyst with strong expertise in business intelligence, data analytics, dashboard development, and business analysis.

The ideal candidate will have hands-on experience with Power BI, Tableau, SQL, data visualization, and data modelling.

The role involves translating business requirements into actionable analytical solutions, developing interactive dashboards, identifying business trends, and collaborating with technical and business stakeholders to support data-driven decision-making.

Key Responsibilities:

1. Business Intelligence & Dashboard Development:

- Design, develop, and maintain interactive dashboards, reports, and data visualizations using Power BI, Tableau, Cognos, or similar BI platforms.

- Develop analytical reports and dashboards to track business performance, operational metrics, and key performance indicators.

- Ensure accuracy, consistency, and reliability of business intelligence reports.

- Improve dashboard usability, reporting efficiency, and data presentation.

2. Data Analytics & Insights:

- Analyze large datasets to identify trends, patterns, business opportunities, and performance gaps.

- Translate analytical findings into meaningful business insights and recommendations.

- Perform data validation, reconciliation, and quality checks.

- Support business teams in making informed decisions through data-driven analysis.

3. Business Analysis & Requirements Gathering :

- Collaborate with System Architects, Product Managers, and business stakeholders to understand reporting and analytics requirements.

- Translate business requirements into technical specifications and analytical solutions.

- Conduct requirement-gathering discussions and document business processes, use cases, and reporting needs.

- Prepare user stories, acceptance criteria, and functional documentation.

- Coordinate with development and QA teams to ensure requirements are implemented accurately.

4. Data Modelling & Integration :

- Work closely with Data Engineers to ensure data models and pipelines support accurate and reliable reporting.

- Understand data warehousing, ETL processes, and data integration concepts.

- Identify data quality issues and coordinate their resolution with relevant technical teams.

- Support data governance and data management initiatives.

5. Stakeholder Collaboration & Agile Delivery :

- Collaborate with cross-functional teams to align analytics solutions with business and product objectives.

- Participate in Agile ceremonies, backlog refinement, sprint planning, and project discussions.

- Coordinate with technical teams throughout the dashboard and reporting development lifecycle.

- Maintain documentation, test plans, and business requirement specifications.

Required Skills & Qualifications :

- 5 - 10 years of experience in Business Intelligence, Data Analytics, Business Analysis, or related areas.

- Hands-on experience with BI and data visualization tools such as Power BI, Tableau, Cognos, or Amazon QuickSight.

- Strong proficiency in SQL for data extraction, analysis, and reporting.

- Knowledge of Python or other scripting languages for data processing and analysis.

- Understanding of data modelling, data warehousing, and ETL/ELT pipelines.

- Experience in dashboard development, reporting, and data visualization.

- Ability to translate business requirements into technical specifications and analytical solutions.

- Experience preparing user stories and acceptance criteria using Agile tools such as JIRA.

- Understanding of data quality, data governance, and data validation practices.

- Strong analytical, problem-solving, and communication skills.

Good to Have :

- Experience with AWS services such as Redshift, S3, and EC2.

- Understanding of Agile methodologies, including Scrum and SAFe.

- Familiarity with DevOps and CI/CD practices.

- Exposure to scientific, healthcare, or enterprise data domains.

- AWS Developer or SAFe for Teams certification.

Ideal Candidate Profile :

- Strong business and analytical acumen with the ability to convert data into actionable insights.

- Excellent stakeholder management and presentation skills.

- Ability to collaborate with global and cross-functional teams.

- Strong ownership, initiative, and ability to manage multiple priorities.