- Drive Strategic Insights: Apply best practices in analytics strategy and operations to enhance product features and influence cross-functional teams toward achieving business objectives.
- Analyze & Identify Opportunities: Lead the analysis of complex challenges to uncover high-impact opportunities that improve the customer experience.
- Define & Monitor Metrics: Develop and track KPIs to measure user experience and perform root cause analysis to understand metric movements.
- Own Business Outcomes: Set clear objectives measure progress and deliver results by leading projects that boost engagement product conversion and overall business performance.
- Collaborate Cross-Functionally: Partner with product engineering analytics and business teams to design and implement data-driven solutions.
- Communicate Impact: Effectively communicate findings and recommendations to both technical and non-technical audiences.
- A proven data scientist with strong analytical skills and the ability to dive deep into data to identify causes and opportunities.
- Highly proficient in statistics A/B testing and quantitative research methodologies.
- Proactive in leveraging data to resolve issues and deliver results quickly.
- Demonstrates strong business acumen and product sense to spot new opportunities.
- Takes ownership is self-motivated and thrives in a fast-paced environment.
- Exceptional communicator with outstanding listening written and verbal skills.
Requirements
- Bachelors degree (BE/BTech) in a quantitative field such as Engineering Statistics Mathematics Data Science or related disciplines.
- 3 years of relevant experience in the following: Quantitative Research Analytics Engineering Data Science or Statistics.
- Strong skills in SQL Python Tableau Excel and PowerPoint.
- Demonstrated curiosity creativity and a proven track record of delivering results through data analysis.
- Experience designing analytical solutions for complex business problems and collaborating with cross-functional teams for maximum impact.
Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive insurance plans.
- Collaborative and supportive work environment
- Chance to learn and grow with a talented team.
- A positive and fun work environment
Required Skills:
Bachelors degree (BE/BTech) in a quantitative field such as Engineering Statistics Mathematics Data Science or related disciplines. 3 years of relevant experience in the following: Quantitative Research Analytics Engineering Data Science or Statistics. Strong skills in SQL Python Tableau Excel and PowerPoint. Demonstrated curiosity creativity and a proven track record of delivering results through data analysis. Experience designing analytical solutions for complex business problems and collaborating with cross-functional teams for maximum impact.
Drive Strategic Insights: Apply best practices in analytics strategy and operations to enhance product features and influence cross-functional teams toward achieving business objectives. Analyze & Identify Opportunities: Lead the analysis of complex challenges to uncover high-impact opportunities t...
- Drive Strategic Insights: Apply best practices in analytics strategy and operations to enhance product features and influence cross-functional teams toward achieving business objectives.
- Analyze & Identify Opportunities: Lead the analysis of complex challenges to uncover high-impact opportunities that improve the customer experience.
- Define & Monitor Metrics: Develop and track KPIs to measure user experience and perform root cause analysis to understand metric movements.
- Own Business Outcomes: Set clear objectives measure progress and deliver results by leading projects that boost engagement product conversion and overall business performance.
- Collaborate Cross-Functionally: Partner with product engineering analytics and business teams to design and implement data-driven solutions.
- Communicate Impact: Effectively communicate findings and recommendations to both technical and non-technical audiences.
- A proven data scientist with strong analytical skills and the ability to dive deep into data to identify causes and opportunities.
- Highly proficient in statistics A/B testing and quantitative research methodologies.
- Proactive in leveraging data to resolve issues and deliver results quickly.
- Demonstrates strong business acumen and product sense to spot new opportunities.
- Takes ownership is self-motivated and thrives in a fast-paced environment.
- Exceptional communicator with outstanding listening written and verbal skills.
Requirements
- Bachelors degree (BE/BTech) in a quantitative field such as Engineering Statistics Mathematics Data Science or related disciplines.
- 3 years of relevant experience in the following: Quantitative Research Analytics Engineering Data Science or Statistics.
- Strong skills in SQL Python Tableau Excel and PowerPoint.
- Demonstrated curiosity creativity and a proven track record of delivering results through data analysis.
- Experience designing analytical solutions for complex business problems and collaborating with cross-functional teams for maximum impact.
Benefits
- Competitive salary and performance-based bonuses.
- Comprehensive insurance plans.
- Collaborative and supportive work environment
- Chance to learn and grow with a talented team.
- A positive and fun work environment
Required Skills:
Bachelors degree (BE/BTech) in a quantitative field such as Engineering Statistics Mathematics Data Science or related disciplines. 3 years of relevant experience in the following: Quantitative Research Analytics Engineering Data Science or Statistics. Strong skills in SQL Python Tableau Excel and PowerPoint. Demonstrated curiosity creativity and a proven track record of delivering results through data analysis. Experience designing analytical solutions for complex business problems and collaborating with cross-functional teams for maximum impact.
View more
View less