Raviteja Reddy
About Raviteja Reddy
Raviteja Reddy serves as an Assistant Manager at LatentView Analytics, where he leads business intelligence and analysis operations for the Microsoft Rewards marketing team. He has a background in data analysis and has contributed to significant cost savings and improvements in data quality during his tenure.
Work at LatentView Analytics
Raviteja Reddy has been employed at LatentView Analytics since 2014, progressing through various roles. He served as a Data Analyst from 2014 to 2018, followed by a position as Senior Analyst from 2018 to 2021. Currently, he holds the title of Assistant Manager, a role he has occupied since 2021. Based in Chennai, Tamil Nadu, India, he leads the management of end-to-end Business Intelligence (BI) and analysis operations for the Microsoft Rewards marketing team. His responsibilities include the development and maintenance of Power BI dashboards.
Education and Expertise
Raviteja Reddy studied Mathematics at S S Junior College from 2006 to 2008. His educational background has provided a solid foundation for his analytical skills, which he has applied throughout his career at LatentView Analytics. His expertise includes Business Intelligence, data analysis, and campaign performance evaluation, particularly in the context of marketing and user engagement.
Background
Raviteja Reddy has a diverse background in data analysis and business intelligence, with a career spanning nearly a decade at LatentView Analytics. His journey began as a Data Analyst, where he developed foundational skills in data management and analysis. Over the years, he transitioned to more senior roles, culminating in his current position as Assistant Manager, where he oversees critical operations for the Microsoft Rewards marketing team.
Achievements
Raviteja Reddy has achieved notable outcomes during his tenure at LatentView Analytics. He rectified a historical implementation gap in a Rewards benefit, resulting in annual cost savings of approximately 1.2 million. Additionally, he played a significant role in identifying and correcting data quality issues for Bing engineering, which led to improved accuracy in usage number reporting. His work also includes conducting product and feature testing to enhance user engagement and supporting campaign analysis through A/B testing.