A leading data and IT-based company operating in the financial sector of the country is seeking a qualified and experienced candidate to join our team. If you have a strong background in the banking industry, particularly in compliance, banking operations, credit, and project management, we invite you to apply for this exciting opportunity.

Data Analyst

Views: 1704 | Apply Before: 1 week, 2 days from now

Basic Job Information

Job Category	:	Banking / Insurance /Financial Services
Job Level	:	Entry Level
No. of Vacancy/s	:	[ 2 ]
Employment Type	:	Full Time
Job Location	:	Kathmandu
Offered Salary	:	Not Disclosed
Apply Before(Deadline)	:	Aug. 16, 2025 23:55 (1 week, 2 days from now)

Job Specification

Education Level	:	Under Graduate (Bachelor)
Experience Required	:	More than 1 year
Professional Skill Required	:	MS Excel Business Intelligence Data Analysis SQL Research

Other Specification

Proficiency in Microsoft Excel includes advanced functions, pivot tables, data cleaning.
Working knowledge of at least one statistical or analytical tool: R, Python, or SQL.
Familiarity with data visualization tools such as Power BI and Excel charts.
Experience in database design and management, querying and reporting.
Strong analytical mindset with the ability to translate data into insights.
Attention to detail and a commitment to data quality.
Good communication skills in English, both written and verbal.

Job Description

We are looking for a skilled and detail-oriented Data Analyst to join our team. This role is central to our organization’s data-driven decision-making processes and requires strong analytical abilities, a deep understanding of data structures, and the ability to derive actionable insights from complex datasets.

The Data Analyst will be responsible for analyzing and interpreting data to support business processes and strategic planning. They will work closely with internal teams and management to present clear, structured findings and help ensure data quality and consistency across systems.

Key Responsibilities:

Use statistical techniques and analytical tools to interpret complex data sets and extract meaningful insights.
Identify the anomalies in reported data, if any.
Design, maintain, and improve databases, data pipelines, and structured reporting systems.
Create reports, dashboards, and data visualizations that support performance tracking and decision-making.
Collaborate with internal departments to identify analytical needs and deliver customized solutions.
Document data processes, analysis steps, and reporting logic for transparency and reproducibility.
Identify trends, patterns, and opportunities from data to support program evaluations and strategic initiatives.
Support high-volume reporting and analysis needs under tight deadlines, maintaining a strong focus on quality and detail.