Job Description

VOZIQ AI specializes in customer retention solutions for recurring revenue businesses. In this role, you will play a crucial role in analyzing and interpreting data to derive actionable insights, contributing to data-driven decision-making processes. You will collaborate with cross-functional teams, including analytics resources, customer retention specialists, and project managers, to deliver measurable results and drive business success.

Follow this link to learn more about working at VOZIQ https://voziq.ai/working-at-voziq-ai/

Benefits of the Role:

- Professional Growth and Development: Join a leading customer retention solutions company and enhance your skills as a data analyst, contributing to data-driven decision-making processes and driving actionable insights to optimize customer retention strategies.

- Collaborative Environment: Collaborate with cross-functional teams, including analytics resources, customer retention specialists, and project managers, fostering a collaborative and supportive work environment that encourages knowledge sharing and professional growth.

- Meaningful Impact: Make a meaningful impact on business success by analyzing and interpreting enterprise customer data, identifying trends, patterns, and actionable insights that drive customer retention and revenue growth for recurring revenue businesses.

- Cutting-Edge Technologies: Work with advanced analytics tools and technologies, data manipulation and visualization tools, gain hands-on experience, and stay up to date with the latest industry trends.

- Exposure to Industry Verticals: Gain exposure to various industry verticals, including subscription-based businesses, and develop a deep understanding of customer retention challenges and opportunities across different sectors.

- Mentorship and Learning Opportunities: Benefit from mentorship by experienced analytics leaders with industry expertise and opportunities to learn from other analysts and professionals within the organization, accelerating your professional growth and development.

Roles and Responsibilities:

- Analyze and interpret enterprise customer data to identify trends, patterns, and actionable insights that drive customer retention and revenue growth.

- Collaborate with internal stakeholders to understand business requirements and translate them into analytical solutions and strategies.

- Develop and maintain standardized reports, dashboards, and visualizations to effectively communicate insights and support data-driven decision-making.

- Work closely with the data engineering team to ensure data integrity, accuracy, and availability for analysis.

- Apply statistical techniques and advanced analytics methods to uncover hidden insights for identifying customer churn risks and provide actionable recommendations to optimize customer retention strategies.

- Conduct regular reviews of solution performance and provide recommendations for optimization and improvement based on data-driven insights.

- Stay updated with industry trends, emerging technologies, and best practices in customer retention and analytics to drive innovation within the solution delivery process.

Qualifications and Experience:

- 3 to 5 years of experience in analytics or B2B technology consulting roles.

- Bachelor\'s degree in Engineering or Master\'s degree in Analytics, Data Science, or MBA in a relevant field.

- Strong problem-solving skills and the ability to apply analytical thinking and translate complex data into actionable insights.

- Proficiency in data analysis, manipulation, and visualization using tools such as SQL, Tableau, Power BI, and MS Office.

- Excellent communication and presentation skills to communicate complex data insights effectively to technical and non-technical stakeholders.

- Professional certifications in project management (e.g., PMP, Agile, Scrum) or relevant analytics tools are a plus.

- Experience in the customer retention or subscription-based industry would be highly advantageous.

This position is based out of Hyderabad. Work Timings are from 2 PM - 11 PM.

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