עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
Responsibilities
Function as the data authority in the Monetization domain - performing ad-hoc research and analysis on the company's rich data to support unique and strategic business questions.
Define, analyze, and monitor KPIs and OKR metrics to continually improve company products.
Analyze large, complex data sets to address strategic and operational business questions.
Build dashboards and visualizations to answer key questions for the company's in-house various teams, specifically for the Monetization Team.
Perform qualitative, quantitative, and statistical analysis.
True passion for understanding data and finding Insights.
Provide actionable recommendations and conclusions from data to shape features and future product road maps.
At least 3 years experience in data analysis, preferably in a complex business environment.
Experience with User Behavior analysis methods and models: Segmentation, Retention, Ad optimization, User activity funnels, etc.
Strong SQL skills with experience in querying large, complex data sets in with Cloud Data Warehouses (Redshift, Big Query, or Snowflake)
Experience working with BI tools for data visualization (Preferably Looker).
A strong foundation in statistical methods and data modeling.
BA / BSc in Industrial Engineering and Management / Information Systems Engineering / Economics / Statistics / similar background.
Quick learner, proactive/can-do attitude with high attention to detail.
A strong sense of ownership, leading data initiatives from end to end independently.
Ability to work in a fast-paced environment.
Creative and critical thinking skills.
A team player with strong analytical and problem-solving skills as well as a business sense.
Excellent communication skills with fluent English (written and verbal); Strong "story-teller" that can communicate insights and recommendations effectively.
Advantages:
Previous experience as a Monetization or Product Analyst / Close collaboration with similar teams - a big advantage.
Knowledge of Python for data prep, analysis and statistical modelling - a big advantage.
Hands-on practical knowledge in A/B testing to facilitate data-driven decision-making processes.
Knowledge of statistics and experience using statistical packages for analyzing datasets
Experience in a B2C tech company.
Passion for Sport.
במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.
מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.
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