
Business Insight Specialist
1 day ago
Job Overview
As a Data Analyst, you will play a pivotal role in driving data-driven insights, uncovering patterns, and deriving actionable recommendations to optimize business processes.
You will collaborate closely with cross-functional teams, leveraging your analytical skills to enhance decision-making and improve overall performance.
Critical thinking and problem-solving skills are essential for interpreting data.
We value every member of our team and work as a collaborative group.
We are seeking an energetic, highly motivated individual to join our organization.
Key Responsibilities :
- Analyze large and complex datasets related to customer behavior, fraud incidents, and payment disputes to identify trends, anomalies, and patterns.
- Monitor and evaluate data for anomalies, unusual patterns, and emerging trends, taking proactive measures to address potential risks.
- Develop and maintain Management Information System (MIS) reports that highlight key performance metrics, trends, and insights for executive leadership and operational teams.
- Create standardized and ad-hoc reports that provide actionable insights to business leaders, guiding strategic initiatives and operational improvements.
- Collaborate with internal teams, including operations, sales, marketing, client success, and product development, to identify opportunities for process improvements based on data insights.
- Utilize data visualization tools to transform complex data into intuitive visualizations.
Requirements :
- Minimum 3+ years of experience in financial or banking industry with a track record of delivering impactful insights.
- Proficiency in data manipulation, analysis, and visualization using tools such as SQL, VBA, Python, and data visualization applications.
- Expert level of usage of MS-Excel, MS-PowerPoint, and MS-Word.
- Significant Sigma and LEAN certifications would be an added advantage.
- Excellent problem-solving skills with the ability to extract insights from complex and unstructured data is necessary.
- Effective communication skills to convey technical findings to both technical and non-technical audiences are required.
- Detail-oriented mindset with a commitment to data integrity and quality assurance.
- Ability to multitask multiple projects and ensure high-quality delivery with self-proofing capabilities.
- Ability and maturity to manage tasks and assignments independently.
- Flexible to work in various shifts.
- Natural ability to thrive in a fast-paced environment.
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