Product Analyst

About the role:

Apna Advantage is seeking a highly analytical and data-driven professional to drive product analytics, experimentation, and business insights across the platform. The role involves designing and analyzing A/B tests, building advanced analytics solutions, evaluating product performance, and generating actionable insights to support key business decisions. You will work closely with Product, Business, Data Science, and Leadership teams to define experimentation frameworks, measure impact, and improve ML-powered products at scale. The ideal candidate should possess strong analytical, statistical, and technical skills, with experience in experimentation, data analysis, stakeholder management, and translating complex data into meaningful business recommendations. This role offers the opportunity to influence product strategy, enhance user experiences, and shape the future of jobs and community products at Apna.

What will you do:

• Define and monitor key performance metrics to ensure product success and take a data-driven approach to create and iterate on the product
• Conduct complex statistical analyses to uncover key drivers of the business
• Conduct test design, measurement of A/B & Multivariate tests across several testing
• programs
• Utilize standard t-tests, advanced analytical techniques, and existing data science models to generate insights from tests and analyses
• Provide feedback to product and engineering teams on the impact of the new product launches: target launch metrics, A/B testing, post-launch metrics
• Present data analysis and product performance evaluations to stakeholders and cross-functional teams
• Learn and adopt new tools & technologies for advanced analytics and experimentation
• Foster a shared purpose and collaborative learning environment among team members that enhances the capabilities of the team

Must have:

• 1-3 years of work experience in analytics
• 1+ years of experience developing statistical solutions in areas such as A/B and multivariate testing, causal inferences, and design of experiments
• Strong coding skills in SQL
• Strong problem-solving skills and ability to synthesize actionable insights and strategies from complex data
• • Excellent communication and stakeholder management skills

Good to have:

• Experience with statistical programming languages such as Python or R
• Significant experience, proficiency in, and passion for Mobile and/or Web product
• Direct experience in the experimentation area
• Proven analytical skills and deep understanding of statistics, machine learning, and
• research methods
• Experience communicating with stakeholders, including product managers, data scientists and engineers
• Experience working on product analytics tools like Mixpanel or Amplitude equivalent