Title: Senior Analyst, Growth & Market Intelligence, Data Science & Engineering
Company Name: bKash Ltd.
Vacancy: 3
Age: Na
Job Location: Dhaka
Salary: Negotiable
Experience:
Bachelor’s degree in Economics, Statistics, Mathematics, Business Analytics, or related quantitative discipline.
3–5 years of experience in business analytics, commercial analytics, strategy analytics, consulting, or data-driven decision support roles.
Experience working with cross-functional teams across Commercial, Marketing, Finance, and Product functions.
Proven ability to translate data into actionable business insights.
Technical Skills:
SQL proficiency.
Working knowledge of Python or R for analysis and modeling.
Experience with BI tools such as Power BI or Tableau.
Strong understanding of customer analytics, cohort analysis, funnel analytics, and revenue analytics.
Exposure to forecasting, LTV modeling, and segmentation techniques.
Behavioral Skills:
Strong analytical thinking and structured problem-solving ability.
Ability to translate complex analysis into clear business insights.
Effective communication and presentation skills.
Proactive mindset with strong ownership orientation.
Ability to work effectively in fast-paced environments.
Analyze customer behavior, cohort movement, churn, and retention drivers.
Conduct funnel, journey, and drop-off analysis to identify engagement opportunities.
Track feature adoption, product usage, and ecosystem performance.
Develop customer personas and segmentation models to support targeted strategies.
Identify cross-sell and upsell opportunities through behavioral analysis.
Analyze transaction patterns, service performance, and pricing dynamics.
Conduct LTV modeling and cohort-based revenue analysis.
Evaluate campaign and commission performance to support commercial decision-making.
Contribute to market sizing, opportunity assessment, and growth modeling.
Develop executive dashboards and insight reports for leadership.
Translate business questions into structured analytical frameworks.
Collaborate with Data Engineering and BI teams to refine data structures and reporting capabilities.
Ensure data security, governance, and compliance in line with company policies.
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