Business Intelligence Planner

Strategic Planning:

• Define and articulate the overall BI strategy and roadmap aligned with organizational goals and objectives.

• Identify key business questions and challenges that can be addressed through data analysis and BI solutions.

• Stay abreast of industry trends, emerging BI technologies, and best practices to continuously enhance the organization's data capabilities.

Requirements Gathering and Analysis:

• Collaborate with business stakeholders (e.g., Sales, Marketing, Finance, Operations) to understand their data needs, reporting requirements, and key performance indicators (KPIs).

• Translate complex business requirements into technical specifications for data extraction, transformation, and loading (ETL) processes.

• Analyze existing business processes and data sources to identify areas for improvement and optimization.

BI Solution Design and Development:

• Design, develop, and maintain scalable and user-friendly BI solutions, including dashboards, reports, and data visualizations.

• Utilize BI tools (e.g., Tableau, Power BI, and Quick View) to present data in a clear, concise, and actionable manner.

• Develop and maintain data models, ensuring data integrity, accuracy, and consistency across various data sources.

• Work with IT and data engineering teams to ensure data pipelines and data warehouses are optimized for BI purposes.

Data Analysis and Insight Generation:

• Conduct in-depth data analysis using SQL, Python, R, and other statistical tools to identify trends, patterns, and anomalies.

• Perform data mining, predictive analytics, and statistical modeling to uncover hidden insights and forecast business outcomes.

• Provide data-driven recommendations to senior management and stakeholders to support strategic planning and operational improvements.

Performance Monitoring and Optimization:

• Monitor and track the effectiveness of implemented BI solutions and make necessary adjustments for continuous improvement.

• Develop and implement data validation processes to ensure the accuracy and reliability of reports and dashboards.

• Identify opportunities to automate manual reporting tasks and streamline data-to-insights workflows.

Communication and Collaboration:

• Communicate complex data insights and technical concepts effectively to both technical and non-technical audiences.

• Lead and facilitate workshops and training sessions to promote data literacy and the adoption of BI tools across the organization.

• Mentor junior analysts and foster a culture of data-driven decision-making within the team.