Livekeeping - Data Engineer - R/Python (2-3 yrs)

Key Responsibilities .

- Analyse conversion rates and provide actionable insights.

- Evaluate and enhance the sales funnel.

- Collect and analyze data on customer preferences and behaviors.

- Present findings to inform product and marketing strategies.

- Prioritize high-potential leads using data analytics.

- Develop lead scoring models with the sales team.

- Ensure accurate data collection and database maintenance.

- Create comprehensive reports and visualizations.

- Monitor and analyze industry trends.

- Collaborate with various teams to align strategies.

- Develop and monitor key performance indicators (KPIs).

- Recommend and implement data-driven improvements.

Technical Responsibilities .

- Use SQL, Python, R, or similar tools for data analysis.

- Develop and maintain dashboards using data visualization tools (e.g, Tableau, Power BI).

- Implement machine learning models to predict customer behavior and trends.

- Perform A/B testing to determine the effectiveness of marketing strategies.

- Clean and preprocess data to ensure data quality.

- Create automated data pipelines for real-time data processing.

- Conduct statistical analysis and hypothesis testing.

- Integrate data from various sources (e.g, databases, APIs) for comprehensive analysis.

Qualifications .

- Bachelor's degree in Technology (B.Tech) or a related field, and an MBA is a plus.

- 2-3 years of experience as a Data Analyst.

- Proficiency in SQL, Python, R, or similar tools.

- Familiarity with data visualization tools (e.g, Tableau, Power BI).

- Strong analytical and problem-solving skills.

- Excellent communication and presentation skills.

- Experience with CRM systems and sales funnel optimization is a plus.