Business Intelligence Analyst: Gathering and analyzing data to identify trends, patterns, and opportunities for improvement like creating reports, dashboards, and data visualizations to present their findings to business stakeholders.
Data Analyst: Collecting and analyzing data to provide insights into business operations. Working with various data sources and tools to clean, transform, and organize data for reporting purposes.
Business Intelligence Developer: Designing and building data models, ETL (Extract, Transform, Load) processes, and reporting solutions. Working with BI tools like Tableau, Power BI, or QlikView.
Report Developer: Creating reports and dashboards that present data in a clear and meaningful way. Use of reporting tools and SQL to retrieve and format data.
Data Engineer: Design and construction of data pipelines and data warehouses. Ensuring that data is collected, stored, and made accessible for analysis and reporting purposes.
BI Manager: Lead a team of BI professionals and are responsible for setting the BI strategy, managing projects, and ensuring that BI solutions align with business goals.
Data Visualization Specialist: Creating visually appealing and informative data visualizations. Using tools like Power BI Tableau, D3.js, or other charting libraries to convey insights effectively.
Data Scientist: Go beyond traditional BI by using advanced statistical and machine learning techniques to uncover deeper insights from data. Developing predictive models and often working with large and complex datasets.
Dashboard Designer: Creating interactive and user-friendly dashboards that allow users to explore data and customize their views.
BI Consultant: Working with organizations to assess their BI needs, implement BI solutions, and guide best practices.
BI Architect: Designing the overall structure and architecture of BI systems within an organization. They make decisions about data storage, integration, and scalability.
Data Quality Analyst: Data quality analysts ensure that data used for reporting and analysis is accurate and reliable. Developing and implementing data quality standards and processes.
Performance Analyst: Monitor and analyze the performance of BI and reporting systems. Identifying bottlenecks, optimizing queries, and ensuring that reports are delivered promptly.
Metadata Analyst: Managing the metadata associated with data assets, making it easier to search, catalog, and understand data elements, which is essential for effective BI.
BI Trainer/Instructor: Training and support to users and stakeholders to ensure they can effectively use BI tools and understand the reports and dashboards.