Overview
We are looking for a Senior Product Analyst to join one of our most established products – Cupid Media. This role is designed for a strong product analyst who is ready to take the next step in their career and grow into a Product Analytics Team Lead position. You will initially focus on hands-on analytics while gradually taking ownership of analytical initiatives, stakeholder management, and team leadership responsibilities with support from experienced leaders.
- Investigate changes in product, marketing, and business KPIs and identify root causes
- Conduct user behavior, funnel, retention, and cohort analyses
- Design, evaluate, and interpret experiments (A/B tests, CUPED/CUPAC, proxy metrics)
- Quantify the expected and actual impact of product and marketing initiatives
- Partner with Product, Marketing, and Growth teams to support decision-making
- Generate actionable insights that influence product strategy and roadmap priorities
- Work closely with Data Engineering on analytical requirements and data quality improvements
- Contribute to analytics infrastructure and reporting improvements
- Ensure consistency and reliability of key product and marketing metrics
- Help define analytical standards and best practices
- Support development of marketing analytics frameworks including LTV, CAC, attribution, and funnel measurement
- Partner with Growth and Marketing teams on performance analysis and optimization
- Develop and validate leading indicators and proxy metrics to accelerate decision-making
- Take ownership of larger cross-functional analytical initiatives
- Mentor and support junior analysts when needed
- Participate in analytical planning and prioritization
- Improve stakeholder management and communication with senior business leaders
- Learn how to manage analytical processes, quality standards, and team performance
- Strong experience in Product Analytics
- Experience working with product metrics, funnels, retention, experimentation, and growth analytics
- Strong business and product thinking
- Ability to translate data into actionable recommendations
- Excellent stakeholder management and communication skills
- Ownership mindset and ability to work independently
- Interest in mentoring others and growing into a leadership role
- Upper-Intermediate (B2) English or higher
- Ability to work 9:00-18:00 within GMT+4 to GMT+10 time zones
- Vacation 28 calendar days per year
- 7 wellness days per year (time off) that can be used to deal with household issues, to lie down and recover without taking sick leave
- Bonuses up to $5000 for recommending successful applicants for positions in the company
- 50%payment for professional training, international conferences and meetings
- Corporate discount for English lessons
- Health benefits. According to the paychecks, if you are not eligible for corporate medical insurance, the company will compensate you with up to $ 1,000 gross per year per employee. This can be spent on self-purchase of health insurance or on doctor’s fees for yourself and close relatives (spouse, children)
- Workplace organization. The company provides all employees with an equipped workplace and all the necessary equipment (table, armchair, wifi, etc.) in our offices or co-working locations. In the other locations, the company provides reimbursement of workplace costs up to $ 1000 gross once every 3 years, according to the paychecks. This money can be spent on the rent of the co-working room, on equipping the working place at home (desk, chair, Internet, etc.) during those 3 years
- Internal gamified gratitude system: receive bonuses from colleagues and exchange them for our merchandise, team building activities, massage certificates, etc.
- Previous experience mentoring analysts or leading analytical projects
- Experience working in consumer products, marketplaces, SaaS, gaming, dating, social, or subscription businesses
- Experience building analytics frameworks and metrics systems
- Product Analytics
- Business and product thinking
- Stakeholder management
- Communication skills
- Ownership mindset
- SQL
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