08/10/2024
We are Hiring a Business Intelligence Analyst
Location: Mogadishu
Deadline: 20th Oct 2024
Role Purpose: A Business Intelligence Analyst (BI Analyst) plays a crucial role in helping organisations make data-driven decisions by analysing data, generating insights, and presenting these insights in an understandable and actionable way for decision-makers.
Qualifications:
- Educational Background:
- Bachelorโs degree in Business Administration, Computer Science, Information Systems, Statistics, Mathematics, or a related field.
- A masterโs degree in Business Analytics, Data Science, or a related field can be advantageous.
- Technical Certifications:
- Certifications in BI tools such as Microsoft Power BI, Tableau, QlikView, or similar.
- Certifications in data analysis, SQL, and related technologies (e.g., Microsoft Certified: Data Analyst Associate, Certified Business Intelligence Professional - CBIP).
- Experience:
- 3-5 years of experience in data analysis, business intelligence, or a related field.
- Experience in data mining, data modelling, and working with large datasets.
Competencies:
- Analytical Thinking:
- Ability to analyse complex datasets and identify patterns, trends, and correlations.
- Problem-Solving:
- Proficiency in identifying business problems and using data-driven approaches to solve them.
- Attention to Detail:
- High accuracy and attention to detail when analysing data and preparing reports.
- Business Acumen:
- Understanding business operations, financial principles, and the ability to align BI initiatives with business objectives.
- Communication:
- Strong communication skills to convey complex data insights to non-technical stakeholders.
Skills:
- Technical Skills:
- Data Analysis: Proficiency in analysing data using statistical methods and tools.
- BI Tools: Expertise in using BI tools such as Power BI, Tableau, QlikView, or others to create dashboards and reports.
- SQL: Strong SQL skills for querying databases and extracting data for analysis.
- Data Warehousing: Knowledge of data warehousing concepts and ETL (Extract, Transform, Load) processes.
- Programming: Basic programming skills in Python or R for data manipulation and analysis.
- Data Visualization: Ability to create clear, concise, and impactful visualisations that convey data insights effectively.
- Excel: Advanced skills in Excel for data analysis and reporting.
- Soft Skills:
- Critical Thinking: Ability to think critically and independently when analysing data and generating insights.
- Communication: Strong written and verbal communication skills to present findings and recommendations.
- Collaboration: Ability to work effectively with cross-functional teams, including IT, finance, marketing, and operations.
- Time Management: Efficiently manage time to handle multiple projects and deadlines.
- Adaptability: Adapting to changing business needs and evolving data sources.
Key Responsibilities:
- Data Collection and Analysis:
- Collect, process, and analyse large datasets to identify trends, patterns, and actionable insights.
- Report and Dashboard Creation:
- Develop and maintain BI dashboards, reports, and visualisations that provide real-time insights to business stakeholders.
- Data Modelling:
- Design and implement data models that support efficient data analysis and reporting.
- Stakeholder Engagement:
- Collaborate with business units to understand their data needs and translate them into technical requirements.
- Performance Monitoring:
- Monitor business performance metrics, identify critical drivers of performance, and provide recommendations for improvement.
- Data Quality Assurance:
- Ensure data accuracy, integrity, and consistency across all BI reports and dashboards.
- Ad Hoc Analysis:
- Conduct ad hoc data analysis to support specific business decisions or projects.
- Training and Support:
- Provide training and support to business users on how to use BI tools and interpret the data.
Duties:
- Querying Databases:
- Write and optimise SQL queries to extract data from relational databases.
- ETL Processes:
- Support developing and maintaining ETL processes to ensure data is properly extracted, transformed, and loaded into data warehouses.
- Trend Analysis:
- Perform trend analysis to identify changes in business performance and potential areas of concern or opportunity.
- KPI Tracking:
- Track key performance indicators (KPIs) and provide regular updates to business leaders.
- Documentation:
- Document BI processes, methodologies, and best practices to ensure consistency and knowledge sharing within the organisation.
- Data Governance:
- Contribute to data governance efforts by helping to establish standards, policies, and procedures for data management and usage.
Key Result Areas (KRAs):
- Data Accuracy:
- Ensuring the accuracy and reliability of data used for analysis and reporting.
- Timely Reporting:
- Delivering reports and insights within agreed timelines to support timely decision-making.
- User Adoption:
- Promoting the use and adoption of BI tools and dashboards among business users.
- Actionable Insights:
- Generating insights that lead to actionable recommendations and drive business performance.
- Innovation:
- Introducing new data analysis techniques or BI tools that enhance the organisationโs data capabilities.
Key Performance Indicators (KPIs):
- Report Accuracy Rate:
- Percentage of BI reports that are delivered without errors or discrepancies.
- Timeliness of Reports:
- Percentage of reports delivered on time, according to the agreed schedule.
- User Satisfaction Score:
- Feedback from stakeholders on the usefulness and clarity of the reports and dashboards provided.
- Number of Data-Driven Decisions:
- Number of business decisions made based on the insights and recommendations provided by the BI analyst.
- Adoption Rate of BI Tools:
- Percentage of business users actively using BI tools and dashboards for decision-making.
- Reduction in Data Processing Time:
- The time taken to extract, process, and deliver data insights, focusing on continuous improvement.
- Data Quality Issues Resolved:
- The number of data quality issues identified and resolved to ensure the accuracy and integrity of data.
- Cost Savings from Data-Driven Decisions:
- The financial impact of decisions made due to insights provided by the BI analyst, such as cost savings or revenue growth.
To apply for the positions, please click here to access the application form.https://docs.google.com/forms/d/e/1FAIpQLScATPzfx7xStZR5o93zp6HO2aKTXAB5I_0tCbJIhpFWEr85jg/viewform?pli=1
