Senior Data Engineer

KodeKloud’s a fast-growing EdTech SaaS company dedicated to transforming the way businesses upskill their teams in DevOps, Cloud Computing, and IT. Our platform offers a hands-on, practical learning experience trusted by over 1 million users worldwide.

We at Kodekloud are committed to building a globally diverse team and are thrilled to extend employment opportunities to individuals in any part of the world. We require candidates to possess eligible working rights and have a compatible timezone overlap with their team to facilitate seamless collaboration.

As a remote-first company, our interviews and onboarding are entirely virtual, providing a smooth and efficient experience for our candidates.

About The Role

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
  
  

Disclaimer

We are an Equal Employment Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, age, marital status, national origin, protected veteran status, disability, or any other legally protected class.