استخدام Senior Data Product Analyst

شرح موقعیت شغلی

• Turn ambiguous product, business, and operational questions into clear objectives, testable hypotheses, practical constraints, and measurable outcomes.
• Analyze user behavior and business performance, investigate root causes, test assumptions, and support launches and experiments with decision-ready insights.
• Share findings, limitations, trade-offs, and recommendations clearly and practically.

• Define meaningful success metrics and guardrails, then design and analyze A/B tests, pre/post analyses, and other interventions.
• Separate statistical significance from practical business value, and recommend stronger designs when an approach is weak.
• Spot tracking and data quality issues that could affect conclusions, and see them through to resolution.

• Build reusable analytical assets, dashboards, data products, automation, and decision-support tools when they’re the right solution.
• Use forecasting, ranking, recommendation, optimization, machine learning, or AI when they can deliver measurable value.
• Prototype, evaluate, and monitor solutions using the right metrics, baselines, constraints, quality standards, and adoption signals; improve or retire them as needed.

• Partner closely with Product Managers, Tech Leads, Data Engineers, and business stakeholders to frame better questions and use data with confidence.
• Ensure data is accurate, fresh, complete, consistent, and fit for purpose, while helping shape metric definitions, documentation, data contracts, and analytical standards.

• Experience in Product Analytics, Data Analysis, Data Science, Business Intelligence, Analytics Engineering, or a related field.
• Strong SQL skills and hands-on experience with analytical warehouses or large datasets.
• Hands-on Python experience for analysis, automation, modeling, or other data-driven solutions.
• A strong grounding in statistics, A/B testing, measurement design, and uncertainty.
• Practical experience with at least one of the following: forecasting, machine learning, ranking, recommendation, optimization, or AI-assisted workflows.
• Familiarity with modern data technologies such as dbt, Trino, Spark, Airflow, or comparable tools.
• The ability to define an ambiguous problem clearly and independently move toward a proportionate, testable solution.
• Strong ownership, sound judgment, clear communication, curiosity, and problem-solving skills.

• Experience in marketplaces, OTA, travel-tech, e-commerce, or another product-led business.
• Experience with ranking, recommendation, search, personalization, pricing, or optimization systems.
• An understanding of data modeling, semantic layers, analytics engineering, or production data pipelines.
• Experience building reusable analytical or decision-support solutions—not just one-off analyses.

• Ambiguous problems become clear and measurable, with the simplest effective solution chosen for each one.
• The work leads to better decisions, measurable improvements, valuable learning, and less recurring manual effort.
• Metrics, analyses, experiments, and data products are trusted, documented, adopted, maintained, and supported by reliable data.
• Experiments and models have clear objectives, evaluation criteria, and business guardrails, while stakeholders become more confident using data.

مهارت‌های مورد نیاز

• Data Analysis
• SQL
• Python

حداقل سابقه کار

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جنسیت

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وضعیت نظام وظیفه

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ارسال رزومه