Sr. Executive / Assistant Manager, Data Analyst

Job Description

Title: Sr. Executive / Assistant Manager, Data Analyst

Company Name: Beautyology

Vacancy: 2

Age: 26 to 35 years

Job Location: Dhaka (Adabor)

Salary: Negotiable

Experience:

• 1 to 5 years
• The applicants should have experience in the following business area(s): Cosmetics/Toiletries/Personal Care

• Bachelor of Science (BSc)

• 1 to 5 years
• The applicants should have experience in the following business area(s): Cosmetics/Toiletries/Personal Care

• Age 26 to 35 years

Data Collection & Preparation

• Collect data from multiple sources including ERP, CRM, sales systems, marketing platforms, and operations

• Clean, validate, and structure datasets to ensure accuracy, consistency, and reliability

• Establish data documentation standards and maintain data integrity

Data Analysis & Insight Generation

• Analyze large datasets to identify trends, patterns, correlations, and anomalies

• Provide actionable insights to support business strategy, sales growth, cost optimization, and service

improvement

• Support audit, compliance, and risk-related data analysis when required

Reporting & Visualization

• Design and maintain dashboards, MIS reports, and performance trackers using Power BI, Tableau, or similar tools

• Prepare daily, weekly, and monthly analytical reports for senior management

• Present insights in a clear, business-friendly format for decision-makers

Business & Cross-Functional Support

• Collaborate with Sales, Marketing, CRM, Operations, Accounts, HR, and Audit teams to understand data needs

• Support KPI tracking, forecasting, and performance evaluation across departments

• Assist management with ad-hoc data requests and strategic analysis

Data Governance & SOP Development

• Develop and maintain data analysis SOPs, reporting frameworks, and best practices

• Ensure data security, access control, and compliance with internal policies

• Support automation and process improvement initiatives

Advanced Analytics & AI Support

• Apply statistical analysis, predictive models, and AI-driven insights where applicable

• Support business intelligence initiatives and future data-driven innovations

Qualifications & Skills

• Bachelor’s/Master’s degree in Computer Science, Computer Science & Engineering, Information Technology,

Software Engineering, or a related field

• 1–3 years of relevant experience in data analysis roles; experience in e-commerce, FMCG, retail, or service-based

industries preferred

• Strong proficiency in SQL, MS Excel, and data analysis techniques

• Hands-on experience with data visualization tools such as Power BI, Tableau, Looker, or similar platforms

• Knowledge of statistical analysis and basic machine learning / AI concepts will be an added advantage

• Strong understanding of business metrics, KPIs, and performance analytics

• Excellent analytical thinking, problem-solving, and attention to detail

• Strong communication skills with the ability to explain complex data to non-technical stakeholders

• Ability to manage multiple priorities and work in a fast-paced environment

• Festival Bonus: 2

• Attractive salary package (based on experience and skills)

• Snacks and refreshment facilities

• Weekly holidays and festival bonuses

• Annual leave, casual leave, and sick leave

• Performance-based increments and growth opportunities

• Friendly and inclusive work environment