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Lead Business Intelligence Specialist
2 months ago
Position Title: Senior Business Intelligence Analyst
Position Summary: The Senior Business Intelligence Analyst is tasked with spearheading the creation and implementation of business intelligence (BI) solutions that empower data-driven decision-making throughout the organization. This position entails scrutinizing intricate data, crafting reports and dashboards, and delivering strategic insights to bolster business performance. The Senior Business Intelligence Analyst is pivotal in advancing the organization's BI strategy and ensuring that data insights are in harmony with business objectives.
Key Responsibilities:
- Design, develop, and sustain sophisticated BI reports, dashboards, and visual representations to furnish actionable insights for business stakeholders.
- Examine complex data sets to uncover trends, patterns, and anomalies that guide strategic decision-making.
- Engage with business units to comprehend their data requirements and deliver solutions that meet their needs.
- Create and execute BI solutions utilizing tools such as Tableau, Power BI, or comparable platforms.
- Conduct data extraction, transformation, and loading (ETL) processes to guarantee precise and timely data availability.
- Assess and enhance the performance of BI systems and applications, proposing improvements and optimizations.
- Offer training and support to end-users on BI tools and best practices for data analysis.
- Remain informed about industry trends and advancements in BI technology, integrating new tools and methodologies as suitable.
- Compile and present comprehensive reports and presentations to senior management, emphasizing key insights and recommendations.
Required Qualifications:
- Bachelor's degree in Data Science, Business Intelligence, Computer Science, or a related discipline; an advanced degree is advantageous.
- A minimum of 5-7 years of experience in business intelligence, data analysis, or a related field.
- Strong expertise in BI tools and platforms, such as Tableau, Power BI, or QlikView.
- Experience with data warehousing, ETL processes, and data integration.
- Exceptional analytical and problem-solving abilities, with the capacity to interpret complex data and provide actionable insights.
- Solid understanding of data modeling, database design, and best practices in data visualization.
- Effective communication and presentation skills, capable of conveying complex data concepts to non-technical stakeholders.
- Proficiency in SQL and other programming languages used for data analysis (e.g., Python, R) is preferred.
- Familiarity with big data technologies and cloud-based BI solutions is a plus.