Top Benefits
About the role
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Product Analyst (Muslima) based in Canada.
This role is focused on driving data-informed product decisions across large-scale social discovery platforms used by millions of users worldwide. You will play a key role in analyzing product behavior, identifying trends, and uncovering growth opportunities that directly impact user engagement and business performance. The position combines deep analytical work with product thinking, requiring you to translate raw data into actionable insights and testable hypotheses. You will be responsible for designing and evaluating A/B tests, supporting product experimentation, and contributing to revenue and growth modeling. The environment is highly international, remote-first, and fast-moving, with a strong focus on experimentation, data-driven decision-making, and continuous product improvement. This is an opportunity to work on globally distributed products that aim to improve how people connect and interact online.
Accountabilities
Analyze core product metrics on a regular basis to detect anomalies, trends, and early signals of performance changes. Design, validate, and evaluate A/B tests, ensuring statistical rigor and reliable interpretation of results. Support the creation, prioritization, and validation of product hypotheses using data-driven insights. Explore large datasets to identify growth opportunities and uncover hidden relationships between product metrics. Calculate and monitor unit economics, including LTV, CAC, and ARPU across user cohorts. Build forecasting and impact models to estimate revenue and business outcomes of new features and initiatives. Collaborate closely with product and growth teams to support experimentation and decision-making.
Requirements
Degree in Mathematics, Statistics, Computer Science, or a related technical field. Strong understanding of probability theory and mathematical statistics applied to real-world analysis. Hands-on experience with data analysis tools such as SQL, Python, and Excel. Proven experience designing and analyzing A/B tests in a product or growth environment. Solid knowledge of marketing and product metrics, with practical application experience. Strong analytical mindset with the ability to work independently and proactively identify opportunities. Ability to extract insights from complex datasets and translate them into clear business recommendations.
Benefits
Fully remote work opportunity in a global, distributed team. Competitive compensation shared during the recruitment process. 28 days of annual vacation plus 7 wellness days per year. Financial support for professional training, conferences, and industry events. Corporate discounts for English language learning. Health benefits or annual health-related compensation support. Workplace equipment support or remote setup reimbursement (depending on location). Referral bonuses for successful candidate recommendations. Internal reward system with redeemable perks and experiences.
How Jobgether Works
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Similar Jobs
Top Benefits
About the role
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Product Analyst (Muslima) based in Canada.
This role is focused on driving data-informed product decisions across large-scale social discovery platforms used by millions of users worldwide. You will play a key role in analyzing product behavior, identifying trends, and uncovering growth opportunities that directly impact user engagement and business performance. The position combines deep analytical work with product thinking, requiring you to translate raw data into actionable insights and testable hypotheses. You will be responsible for designing and evaluating A/B tests, supporting product experimentation, and contributing to revenue and growth modeling. The environment is highly international, remote-first, and fast-moving, with a strong focus on experimentation, data-driven decision-making, and continuous product improvement. This is an opportunity to work on globally distributed products that aim to improve how people connect and interact online.
Accountabilities
Analyze core product metrics on a regular basis to detect anomalies, trends, and early signals of performance changes. Design, validate, and evaluate A/B tests, ensuring statistical rigor and reliable interpretation of results. Support the creation, prioritization, and validation of product hypotheses using data-driven insights. Explore large datasets to identify growth opportunities and uncover hidden relationships between product metrics. Calculate and monitor unit economics, including LTV, CAC, and ARPU across user cohorts. Build forecasting and impact models to estimate revenue and business outcomes of new features and initiatives. Collaborate closely with product and growth teams to support experimentation and decision-making.
Requirements
Degree in Mathematics, Statistics, Computer Science, or a related technical field. Strong understanding of probability theory and mathematical statistics applied to real-world analysis. Hands-on experience with data analysis tools such as SQL, Python, and Excel. Proven experience designing and analyzing A/B tests in a product or growth environment. Solid knowledge of marketing and product metrics, with practical application experience. Strong analytical mindset with the ability to work independently and proactively identify opportunities. Ability to extract insights from complex datasets and translate them into clear business recommendations.
Benefits
Fully remote work opportunity in a global, distributed team. Competitive compensation shared during the recruitment process. 28 days of annual vacation plus 7 wellness days per year. Financial support for professional training, conferences, and industry events. Corporate discounts for English language learning. Health benefits or annual health-related compensation support. Workplace equipment support or remote setup reimbursement (depending on location). Referral bonuses for successful candidate recommendations. Internal reward system with redeemable perks and experiences.
How Jobgether Works
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
Why Apply Through Jobgether?
Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.