
Role Overview:
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.
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.
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