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استخدام Senior Data Product Analyst برای اسنپ تریپ در تهران

(1 day ago)

— • تهران، تهران

نوع همکاری

تمام وقت

سفرهای کاری

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شاخص‌های کلیدی از نظر کارفرما

دیپلم

شرح شغل و وظایف

اسنپ تریپ در تهران جهت تکمیل کادر خود از واجدین شرایط زیر دعوت به همکاری می نماید.

Description

job title

About the Role
We’re looking for a Senior Data Product Analyst who enjoys making sense of complex product, business, and operational problems through data.
You’ll frame problems, design measurements, choose the right-sized solution, and deliver insights, experiments, automation, data products, or advanced analytics that improve decisions, products, and operations.
This isn’t simply a reporting or dashboard role. You’ll own problems end to end—from definition and solution design through stakeholder adoption, impact measurement, and iteration.
You’ll join a product-minded Data team where impact, trust, adoption, learning, and measurable outcomes matter more than the deliverable format.
What You’ll Do
Problem Solving and Product Analytics
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.
Measurement and Experimentation
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.
Data Products and Advanced Solutions
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.
Collaboration and Data Quality
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.
What We’re Looking For
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.
Nice to Have
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.
How Success Is Measured
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.

Senior Data Product Analyst

شرایط احراز شغل

سن

18 - 50 سال

جنسیت

فرق نمی کند

تحصیلات

دیپلم

استخدام نیرو انسانی — کلیک کنید

ارسال رزومه

مشاهده

موقعیت شغلی

استخدام Senior Data Product Analyst برای اسنپ تریپ در تهران

استخدام نیرو انسانی — کلیک کنید