talenthic
Sheba.xyz

Sheba.xyz·Analyst

Senior Data Analyst

Location
Dhaka, Dhaka Division, Bangladesh
Work mode
Type
Full-time
Level
Mid
Compensation
Experience
Education
Openings
Deadline
Listed
13 Jul 2026

Required skills

Data AnalysisProblem SolvingCommunicationTeamworkTime ManagementStakeholder ManagementData VisualizationStatistical AnalysisData Modeling

Tech stack

SQLDatabase ManagementStatistical Analysis ToolsMachine Learning Models

A Senior Data Analyst role at Sheba Platform Limited, responsible for collecting and analyzing large data sets to provide insights and support business decisions, utilizing strong analytical and problem-solving skills, and proficiency in statistical analysis tools and SQL.

Description

Company Description Sheba Platform Limited designs technological solutions to make urban life easier while addressing the major pain points of small businesses. Our first product sheba.xyz is the country’s largest online service marketplace. sBusiness on the other hand is serving emerging corporates and sManager is providing full-stack financial solutions for SMEs and digitizing all flows of their business. Job Description Collect and organize large sets of data from multiple sources, ensuring data quality and accuracy Clean and transform raw data into a format that can be easily analyzed Develop and implement data models and algorithms to analyze data Conduct statistical analyses to identify patterns and trends in the data Provide insights and recommendations based on data analysis to support business decisions Communicate findings and results to cross-functional teams, both verbally and through data visualizations Develop and maintain data dashboards and reports for stakeholders Continuously monitor data quality and accuracy, identifying and resolving data discrepancies Keep up-to-date with industry trends and best practices in data analysis and modeling Qualifications Bachelor's or Master's degree in Statistics, Mathematics, Economics, or a related field Minimum of  years of experience in data analysis or related field Strong analytical skills and ability to work with large data sets Proficient in statistical analysis tools Knowledge of SQL and database management Excellent communication skills, both verbal and written Strong problem-solving skills and ability to think creatively Ability to work independently and in a team environment Experience with machine learning models is a plus Additional Information Salary: Good salary packages for highly deserving candidates Employee Benefits Packages as per the company policy  Weekly 2 holidays Lunch Facilities: Subsidized Salary Review: Yearly Festival Bonus: 2

Responsibilities

Collect and organize large sets of data from multiple sources, ensuring data quality and accuracy Clean and transform raw data into a format that can be easily analyzed Develop and implement data models and algorithms to analyze data Conduct statistical analyses to identify patterns and trends in the data Provide insights and recommendations based on data analysis to support business decisions Communicate findings and results to cross-functional teams, both verbally and through data visualizations Develop and maintain data dashboards and reports for stakeholders Continuously monitor data quality and accuracy, identifying and resolving data discrepancies Keep up-to-date with industry trends and best practices in data analysis and modeling

Requirements

Bachelor's or Master's degree in Statistics, Mathematics, Economics, or a related field Minimum of  years of experience in data analysis or related field Strong analytical skills and ability to work with large data sets Proficient in statistical analysis tools Knowledge of SQL and database management Excellent communication skills, both verbal and written Strong problem-solving skills and ability to think creatively Ability to work independently and in a team environment Experience with machine learning models is a plus

Benefits

Salary: Good salary packages for highly deserving candidates Employee Benefits Packages as per the company policy  Weekly 2 holidays Lunch Facilities: Subsidized Salary Review: Yearly Festival Bonus: 2
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