Business Intelligence Specialist
ACE Money Transfer
- Lahore, Punjab
- Permanent
- Full-time
- Collaborate with various departments to identify key performance metrics and data requirements.
- Extract, clean, and transform data from diverse sources to ensure accuracy and consistency.
- Analyze complex datasets to identify trends, patterns, and opportunities for business improvement.
- Design and develop interactive dashboards, reports, and visualizations using BI tools (e.g., Tableau, Power BI) to present insights to stakeholders.
- Ensure visualizations are user-friendly, informative, and aligned with business objectives.
- Implement best practices for data visualization and storytelling to communicate insights effectively.
- Collaborate with data engineering teams to develop and maintain data models and warehouses that support business reporting needs.
- Optimize data structures for efficient querying and reporting performance.
- Monitor key metrics and performance indicators, proactively identifying anomalies or deviations.
- Generate and distribute regular and ad-hoc reports to relevant stakeholders.
- Provide insights and recommendations to management based on data analysis.
- Work closely with business stakeholders to understand their requirements and challenges.
- Translate business questions into analytical solutions and actionable recommendations.
- Collaborate with IT and data engineering teams to ensure data accuracy and availability.
- Stay up-to-date with industry trends, emerging technologies, and best practices in business intelligence and data analytics.
- Propose and implement enhancements to existing BI processes, tools, and methodologies.
- Bachelor's degree in Computer Science, Information Systems, Business Analytics, or related field. Master's degree is a plus.
- Proven experience (3+ years) as a Business Intelligence Specialist, Data Analyst, or related role.
- Proficiency in data analysis, visualization, and reporting tools such as Tableau, Power BI, or similar.
- Strong SQL skills for data querying and manipulation.
- Familiarity with data modeling concepts and data warehouse environments.
- Excellent analytical and problem-solving abilities.
- Solid understanding of business operations and key performance indicators.
- Effective communication skills to convey complex findings and insights to non-technical stakeholders.
- Detail-oriented with a focus on data accuracy and quality.
- Ability to work independently and collaboratively in a fast-paced environment.
- Experience with programming languages (e.g., Python, R) is a plus.
- Knowledge of ETL processes and tools is advantageous.