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