Senior Product Analyst
New
J
JobgetherProduct Development
BrazilFull-TimeSenior
SalaryCompetitive compensation, with the initial salary or salary range shared during the recruitment process.
Apply NowOpens the employer's application page
Job Details
- Required Skills
- PythonSQLData AnalysisData MiningMicrosoft ExcelA/B testing
Requirements
- Higher education in mathematics, statistics, computer science, engineering, or another technical discipline.
- Strong knowledge of mathematical statistics and probability theory, with practical experience applying statistical methods to business and product questions.
- Proven experience extracting, processing, analyzing, and visualizing data using MS SQL, Python, and Excel.
- Deep hands-on experience designing, running, and analyzing A/B tests and controlled experiments.
- Strong understanding of marketing and product metrics and demonstrated experience applying them to evaluate performance and identify growth opportunities.
- Strong analytical and problem-solving capabilities, with the ability to investigate complex or ambiguous questions independently.
- Ability to translate large or complex datasets into clear insights and practical recommendations.
- Strong attention to data quality, metric consistency, and analytical accuracy.
- Excellent communication and collaboration skills, particularly when working with Product and cross-functional stakeholders.
- Proactive mindset and ability to identify important questions and opportunities rather than simply responding to requests.
Responsibilities
- Own and continuously evolve the product metrics tree, ensuring consistent and clearly documented definitions across teams.
- Validate metrics and dashboards, write clear specifications for Data Engineering, and ensure analytical requirements are correctly implemented.
- Decompose north-star metrics into measurable components that individual teams can directly influence.
- Conduct ad-hoc investigations into metric fluctuations, anomalies, conversion drop-offs, segmentation issues, and other product performance questions.
- Identify bottlenecks, non-obvious behavioral patterns, and growth opportunities through structured data mining and analysis.
- Validate product hypotheses and work with Product teams to prioritize problems according to their potential impact on key business metrics.
- Design and evaluate A/B tests, including sample-size calculations, minimum detectable effect, test duration, randomization splits, and statistical validation.
- Analyze experiment outcomes alongside relevant guardrail metrics and translate findings into actionable product recommendations.
View Full Description & ApplyYou'll be redirected to the employer's site
