About the role:
Apna Advantage team is looking for someone enthusiastic about product analytics and
experimentation who will join us and shape the future of our apna platform. You will leverage your
strong technical skills to solve problems across different business verticals at apna in a data-driven
way. This role comes with the freedom of creating and executing a compelling vision and roadmap to
power our business decisions through advanced analytics solutions, A/B testing, offline evaluation,
and exploration capabilities. You will manage the quality of decisions taken based on the results of
these advanced analyses, which would imply supporting experimentation design, data analysis, and
communication of the results.
The role also involves working closely with business leaders to ensure meaningful and actionable
insights on current tests and analyses, and you will partner with the data science team to stand up
advanced experimentation methods for long-term, scalable improvements in the ML solutions that
we build.
We are a group of highly talented folks with end-to-end expertise in bringing data products to life. You
will have an opportunity to define and shape the future of jobs and community products at apna. Your
work will impact billions across the world and help them find the jobs that uplevel their lives in
meaningful ways.
Requirements
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
Skills Required
- 1-3 years of work experience in analytics
- 1+ years developing statistical solutions (A/B and multivariate testing, causal inference, design of experiments)
- Strong coding skills in SQL
- Strong problem-solving skills and ability to synthesize actionable insights from complex data
- Excellent communication and stakeholder management skills
- Experience with Python or R
- Experience with Mobile and/or Web product analytics
- Direct experience in experimentation
- Proven analytical skills and deep understanding of statistics, machine learning, and research methods
- Experience with product analytics tools (Mixpanel or Amplitude equivalent)
What We Do
Apna is India's largest professional networking and jobs platform, connecting job seekers, particularly blue and grey-collar workers, with employers. It facilitates job discovery, skill development, and professional networking.
