Business Intelligence Analyst
Harness the power of your data to drive informed decision making and enhance business performance. Our talented analysts employ advanced tools to uncover critical trends, patterns, and correlations. This deep analysis provides a clearer understanding of your operations and market landscape, enabling you to identify opportunities, develop data-backed strategies, and secure a competitive advantage.
About This Role
Sonaqode's Business Intelligence Analysts transform complex data into actionable strategies that drive high value business outcomes. They develop sophisticated data models and visualisations using advanced analytical techniques, ensuring accuracy and clarity for informed decision making. Their meticulous approach to data quality and dashboard design delivers outstanding insights that directly support your strategic objectives.
Our dedicated analysts bring deep expertise in SQL, Python, Tableau, and Power BI, enhanced by specialised knowledge in data mining, machine learning, and big data technologies. We understand that compelling data presentation is crucial for stakeholder engagement and strategic alignment. That's why we create exceptional dashboards and reports that not only showcase performance but also tell a compelling story of opportunities and outcomes. Partnering with us means faster, more effective decision making, powerful data storytelling, and measurable business impact.
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Skill Set
Technical Skills
- Data Analysis: Proficient in SQL for data querying and manipulation with knowledge of Python or R for advanced data analysis.
- Data Visualisation: Ability to create compelling and informative visualisations using Tableau, Power BI, or Python libraries Matplotlib, Seaborn.
- Data Modeling: Ability to comprehend data structures and relationships, enabling effective analysis.
- BI Tools: Expertise in using BI tools Tableau, Power BI, Qlik for data exploration, reporting, and dashboard creation.
- Database Management: Knowledge of database systems SQL, NoSQL for data extraction and management.
Experience
- Data Analysis Projects: Demonstrating practical experience in data analysis and reporting.
- Industry Knowledge: Understanding the business domain and its data requirements.
- Data Visualisation: Creating impactful dashboards and reports.
- Data Modeling: Designing data structures for efficient analysis.
- Business Intelligence Tools: Proficient in using BI tools for data exploration and reporting.
Key Deliverables
Data Analysis and Reporting
- Data Exploration: Discovering patterns, trends, and anomalies within data sets.
- Data Visualisation: Creating clear and informative data visualisations charts, graphs.
- Dashboards: Developing interactive dashboards for real-time data monitoring.
- Ad hoc Reports: Generating custom reports based on specific business needs.
Data Modeling and Infrastructure
- Data Modeling: Designing data structures and relationships for efficient analysis.
- Data Quality Assessment: Ensuring data accuracy and consistency.
Business Insights and Recommendations
- Data driven Insights: Providing actionable recommendations based on data analysis.
- KPIs and Metrics: Defining and tracking key performance indicators KPIs to measure business success.
Process Improvement and Collaboration
- Process Optimisation: Identifying opportunities to improve data driven processes.
- Stakeholder Communication: Effectively communicating insights and recommendations to stakeholders.