You will interpret data and analyze results using various statistical techniques, starting from acquiring data from primary or secondary data sources and maintaining databases/data systems. You will collaborate closely with stakeholders both within and outside the company.
Responsibilities:
Collaborate with stakeholders to understand business objectives, key performance indicators (KPIs), and data requirements.
Collect, clean, and analyze data from multiple sources to identify trends, patterns, and opportunities for optimization.
Develop and maintain dashboards, reports, and visualizations to track and communicate business performance metrics.
Conduct ad-hoc analysis and deep dives into specific business areas to uncover insights and root causes of issues.
Based on data analysis, provide recommendations for process improvements, resource allocation, and strategic initiatives.
Support decision-making processes by providing data-driven insights and scenario analysis.
Conduct a thorough analysis of marketing performance metrics, including but not limited to campaign effectiveness, customer acquisition, conversion rates, ROI, and customer segmentation
Develop and maintain dashboards, reports, and visualizations to present key findings and insights to stakeholders
Plan A/B testing, experimentation, and hypothesis testing to drive continuous improvement in marketing strategies and tactics.
Collaborate with cross-functional teams, including Marketing, Sales, and Product to identify opportunities for optimization and improvement
Requirements:
To be successful in this role, one must have -
7-12 years of experience combined with data analysis and data engineering.
Exceptional data orientation with proficiency in
End to End data visualization
Build Data warehouse
ETL processes and tools
Cloud platforms
Programming in Python or R
Big data technologies
Setting up data pipelines from scratch
Experience in both B2C and B2B.
Implementing data governance
Preferences:
MUST HAVE:
Analytical and problem-solving abilities
Communication skills (technical to non-technical translation)
Project management experience
Understanding of business metrics, marketing metrics, and KPIs
Requirements gathering and translation to technical specs
GOOD TO HAVE:
Familiarity with e-learning industry
Understanding of subscription-based business models
Experience with customer analytics
Content performance analytics knowledge
Person:
Self-starter
Adaptability and hunger to learn
Detail-oriented
Collaborative
Proactive in identifying data-driven opportunities
Benefits:
Flexible, fully remote working arrangements.
Competitive Salary & Benefits
Opportunities for professional growth and career advancement.
Dynamic and supportive work culture.
Access to continuous learning and development resources.
Work From home setup allowance
Employment Type: Full Time, Permanent
Functional Areas: Analytics & Business Intelligence