Data Analyst
Herzliya
Applications have closed
AppsFlyer
Get visibility into performance, scale installs, and maximize LTV with a new standard of measurement and deep linking solutions.Are you a total data addict who likes to get their hands dirty? Do you want to work with one of the largest data sets in the mobile world? We’re looking for a talented individual with a pioneering spirit to join the CS Ops analytics team and help ensure we make data-driven decisions. The ideal candidate will have strong technical skills, with a passion for slicing and dicing numbers. He/she should also be a good listener who can distill numbers into actionable steps to ensure that the AppsFlyer platform remains at the top of its class.
What You'll Do
- Lead analytics projects end-to-end in partnership with Product, Engineering, and the Analytics community to inform, influence, support, execute, and drive the data-driven strategy.
- Structure and solve problems with analytical skills (e.g., investigation, modeling, mapping, and gap analysis) and techniques (e.g., trend analysis, forecasting, and experimental design)
- Conduct analysis for management on topics like LTV, churn, segmentation, customer value, and other business KPIs.
- Lead cross-organizational processes to improve business results and best practices throughout the company.
- Identify the opportunities most important for growth, and remove barriers for product adoption, retention and engagement.
- Enhance the efficiency of the team's work by building ETLs
- Communicate data findings to business, product, and engineering teams
What You Have
- 3+ years of full time working experience in a quantitative analysis related role.
- Proven track record of handling large datasets and performing quantitative analysis.
- Strong experience with SQL and working with analytical databases.
- Experience working with Python for data research
- Experience working with BI/Analytics tools (e.g. Tableau, Looker, etc.).
- Experience building ETL solutions using data pipeline products
- Experience with developing ML models - advantage.
- Excellent verbal and written communication skills.
- BA/ BSc. in Industrial Eng./ Computer Science/ Economics or other quantitative fields
As a global company operating from 20 offices worldwide, we reflect the human mosaic of the diverse and multicultural world in which we live. We ensure equal opportunities for all of our employees and promote the recruitment of diverse talents to our global teams without consideration of race, gender, culture, or sexual orientation. We value and encourage curiosity, diversity, and innovation from all our employees, customers, and partners.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Computer Science Economics Engineering ETL Industrial KPIs Looker Machine Learning ML models Python Research SQL Tableau
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