Senior Product Analyst - Fully Remote, Data-Driven Growth

Jobgether SRL; South Africa; Remote; ZAR 600,000 - 950,000; Full time

Benefits offered by this job

Fully remote work

28 days vacation

Wellness days

Referral bonus up to $5,000

Training reimbursement

Health benefits

Job summary

Jobgether invites applications for a Senior Product Analyst (CX) based in South Africa. You will own the product metrics framework, translate data into actionable insights, and collaborate with Product and Data teams to drive growth.

The role emphasizes rigorous quantitative analysis, designing and analyzing A/B tests, and influencing prioritization with data-driven decisions across a distributed environment.

Qualifications

• A higher education degree in mathematics, statistics, computer science, engineering, or another relevant technical discipline.
• Strong knowledge of mathematical statistics and probability theory, with proven experience applying statistical methods to real-world analytical and product problems.
• Advanced proficiency in data extraction, processing, analysis, and visualization, with hands-on experience using MS SQL, Python, and Excel.
• Deep practical experience designing, running, and analyzing A/B tests, including statistical evaluation and interpretation of experiment results.
• Strong understanding of marketing and product metrics, with experience applying them to evaluate performance, identify opportunities, and support strategic decisions.
• Strong analytical and problem-solving abilities, with the capacity to investigate complex questions, identify meaningful patterns, and translate findings into practical recommendations.
• Excellent communication and collaboration skills, with the ability to work effectively with Product, Data Engineering, and functional leadership teams.
• A proactive, detail-oriented mindset and a strong sense of ownership, particularly when it comes to data quality, metric consistency, and the reliability of insights used for decision-making.

Responsibilities

• Own and continuously evolve the product metrics tree, ensuring that key metrics have clear, consistent, and locked definitions and that each team can understand how its work influences the overall north-star metric.
• Validate existing metrics and dashboards, identify inconsistencies, and create clear specifications for Data Engineering to ensure reliable and accurate reporting.
• Partner directly with functional and product leads to investigate fluctuations, anomalies, and unexpected changes in business and product performance.
• Conduct ad-hoc research to identify bottlenecks, conversion drop-offs, meaningful customer segments, and non-obvious patterns that may reveal growth opportunities.
• Validate product hypotheses through rigorous quantitative analysis and collaborate with Product teams to prioritize problems according to their potential impact on key business metrics.
• Design and analyze A/B tests, including sample-size calculations, minimum detectable effect, experiment duration, randomization splits, and pre-test validation.
• Verify experiment split correctness, perform sanity checks before interpreting results, and report outcomes alongside appropriate guardrail metrics.
• Define data-tracking requirements for experiments, including the events and instrumentation needed to measure results accurately.
• Maintain an organized archive of experiments and ensure every test produces clear, actionable recommendations for future product decisions.
• Proactively identify data-quality issues and inconsistencies before unreliable information is used to make important product or business decisions.

Skills

SQL

Python

Excel

Statistics

A/B testing

Data visualization

Product metrics

Communication

Education

Math/Stats degree

Tools

MS SQL

Job description

Jobgether invites applications for a Senior Product Analyst (CX) based in South Africa. You will own the product metrics framework, translate data into actionable insights, and collaborate with Product and Data teams to drive growth.

The role emphasizes rigorous quantitative analysis, designing and analyzing A/B tests, and influencing prioritization with data-driven decisions across a distributed environment.