Title: Executive – Data Analytics
Company Name: TechGarlic Limited
Vacancy: 01
Age: 25 to 35 years
Job Location: Dhaka (DOHS Mohakhali)
Salary: Tk. 30000 - 40000 (Monthly)
Experience:
Bachelor’s degree in Statistics, Data Science, Computer Science, Economics, Business, Marketing, Mathematics, MIS, or another relevant discipline.
1 to 3 years of relevant professional experience in data analytics, business analytics, reporting, research, digital analytics, business intelligence, or a related field.
Experience working with client data, dashboards, digital/social data, business intelligence, or SaaS products will be an advantage.
Experience with any of the following will be an added advantage:
Power BI, Tableau, Looker Studio, or similar visualization tools
Digital or social media analytics
Consumer insights or market research
SaaS or analytics products
Client-facing reporting and presentations
Data automation or workflow optimization
● Take ownership of data quality, accuracy, and consistency across assigned clients and projects.
● Examine large and complex datasets to identify anomalies, gaps, missing information, inconsistencies, and potential sources of error.
● Analyze data from multiple sources to uncover trends, behavioral patterns, performance changes, opportunities, and risks.
● Interpret not only what happened, but also why it may have happened and what it means for the business.
● Translate analytical findings into clear, actionable insights and recommendations aligned with client objectives.
● Develop high-quality reports, dashboards, presentations, visualizations, and insight narratives.
● Communicate analytical findings clearly to both technical and non-technical audiences.
● Understand client objectives and translate business requirements into clear analytical deliverables.
● Coordinate with Data, Technology, Product, and client-facing teams to ensure requirements are correctly understood and executed.
● Manage multiple projects while maintaining accuracy, quality, responsiveness, and delivery timelines.
● Participate in testing and validating dashboards, analytics features, reports, data processes, and product capabilities.
● Identify recurring analytical gaps, reporting limitations, and opportunities for automation, optimization, and process improvement.
● Proactively raise issues in data, methodology, reporting, dashboards, or operational processes and recommend practical solutions.