Supervisor/Assistant Manager, Credit Management- Dhaka (Analyst)

ITS Labtest Bangladesh Ltd; United Kingdom; On-site; GBP 30,000 - 50,000; Full time

Job summary

A leading analytics firm in the United Kingdom seeks a skilled data analyst. The role involves analyzing large datasets to uncover trends, developing data models, and creating reports to inform decision-making across various teams. Ideal candidates will have significant experience in data analysis techniques and collaboration with finance and operations to optimize performance. This position offers a chance to impact business strategy through insightful data interpretation.

Qualifications

• Experience in analyzing large datasets and statistical techniques.
• Proficient in data modeling and algorithm development.
• Ability to create dashboards and visualizations for stakeholders.

Responsibilities

• Analyze large datasets to extract insights and trends.
• Develop data models and statistical analyses for business objectives.
• Create dashboards, reports, and visualizations to communicate findings.

Job description

• Analyze large datasets using statistical techniques to extract meaningful insights and trends.
• Develop and implement data models, algorithms, and statistical analyses to support business and finance objectives.
• Create and maintain dashboards, reports, and visualizations to communicate findings to stakeholders.
• Oversee the collection, organization, and analysis of financial data from various sources to generate insights and inform decision-making processes.
• Develop and implement strategies for optimizing data collection, storage, and retrieval processes to ensure accuracy, efficiency, and security.
• Prepare and present reports, dashboards, and presentations summarizing financial data analysis findings, insights, and recommendations to stakeholders at all levels of the organization.
• Analyze accounts receivable data to identify discrepancies, trends, and areas for improvement in revenue collection processes.
• Collaborate with cross-functional teams, including finance, operations, and sales, to streamline processes and improve overall financial performance.
• Utilize data analysis tools and techniques to automate processes, standardize reporting, and drive insights that support decision-making.
• Monitor key performance indicators (KPIs) related to accounts receivable, such as Days Sales Outstanding (DSO) and collection efficiency,and take proactive measures to address variances.