Senior Product Analyst: Data-Driven Growth & Experiments (Remote)

Jobgether; Netherlands; On-site; EUR 70,000 - 110,000; Full time

Benefits offered by this job

Fully remote

Competitive compensation

28 days vacation

7 wellness days

Referral bonuses up to $5,000

Training reimbursement 50%

English lessons discounts

Health support up to $1,000

Home-office reimbursement up to $1,000

Coworking access

Job summary

Jobgether in the Netherlands seeks a Senior Product Analyst to shape product decisions through rigorous data analysis, experimentation, and research. You will own the product metrics framework and ensure teams have reliable, consistent definitions for measuring performance.

You will investigate anomalies, identify conversion bottlenecks, validate hypotheses, and translate complex datasets into actionable recommendations.

Qualifications

• 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.
• Perform pre-test sanity checks and verify experiment splits before analyzing results.
• Analyze experiment outcomes alongside relevant guardrail metrics and translate findings into actionable product recommendations.
• Define data-tracking requirements and identify the events and instrumentation needed to support reliable experimentation.
• Maintain an organized archive of experiments, findings, and recommendations.
• Proactively identify data-quality issues and help prevent unreliable data from influencing product decisions.
• Collaborate directly with functional and product leaders to turn analytical insights into measurable improvements.

Skills

MS SQL

Python

Excel

Statistics

A/B testing

Data visualization

Education

Higher education in mathematics/statistics/CS/engineering

Job description

Jobgether in the Netherlands seeks a Senior Product Analyst to shape product decisions through rigorous data analysis, experimentation, and research. You will own the product metrics framework and ensure teams have reliable, consistent definitions for measuring performance.

You will investigate anomalies, identify conversion bottlenecks, validate hypotheses, and translate complex datasets into actionable recommendations.