Description:
About the RoleAs a Senior BI Analyst, you will play a pivotal role in driving strategic decision-making by leveraging data to uncover trends, patterns, and opportunities. You will work closely with stakeholders across the business to gather requirements, design data models, and develop intuitive dashboards and reports. Your ability to communicate complex insights in a clear and compelling way will empower teams to make informed, data-driven decisions.
Key Responsibilities
Requirements Gathering: Collaborate with stakeholders to understand business needs and translate them into data and reporting requirements. Data Collection & Preparation: Identify, collect, and clean data from multiple sources, ensuring accuracy and integrity. Data Modeling & Warehousing: Contribute to the design and maintenance of scalable data models and warehouses. ETL Processes: Develop and maintain ETL workflows to move data efficiently from source systems to the data warehouse. Data Analysis & Interpretation: Conduct in-depth analysis to uncover trends, patterns, and actionable insights. Report & Dashboard Development: Design and maintain interactive dashboards and reports using tools like Tableau, Power BI, or Looker. Performance Monitoring: Monitor BI solutions and identify opportunities for optimization. Documentation: Create and maintain documentation for data sources, ETL processes, and reports. Collaboration & Communication: Present findings and recommendations to both technical and non-technical stakeholders. Mentorship: Guide and mentor junior analysts, sharing best practices and fostering growth.What Were Looking For
Qualifications: Bachelors degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Business Analytics) or equivalent experience. Experience: 5-8 years of experience in business intelligence or data analysis. Technical Skills:Proficiency in SQL and relational databases. Experience with BI tools such as Tableau, Power BI, or Looker. Knowledge of data warehousing concepts, ETL processes, and data modeling. Familiarity with cloud-based data warehousing solutions (e.g., Snowflake, BigQuery, Redshift) is a plus. Experience with scripting languages (e.g., Python, R) is a bonus. Soft Skills:
Strong analytical and problem-solving abilities. Excellent written and verbal communication skills. Ability to work independently and as part of a team. A proactive mindset with a commitment to continuous
14 Mar 2025;
from:
gumtree.co.za