R&D 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.AppsFlyer is known for its massive backend production and data pipelines. On any given day, thousands of servers are processing 200+ billion events and crunching petabytes of data in our cloud. AppsFlyer runs a variety of data analytics and machine learning algorithms on those billions of mobile events to provide mission-critical information and actionable insights to its customers in a company that is known for its high standards and people-obsessed culture.
We’re looking for a talented individual with a pioneering spirit to join the R&D Analytics and FinOps team and help ensure R&D makes data-driven decisions. The ideal candidate will have strong technical skills, with a passion for slicing and dicing data. We are looking for an exceptional analyst who can distill numbers into actionable insights that will guide R&D toward the right direction
What you’ll do:
- Create impactful data reports from conceptualization, data extraction, data analysis, to deliver clear and actionable insights for our different Engineering processes
- Define KPIs and create dashboards to monitor them, such as effectiveness, efficiency, quality, cloud cost, quarterly planning, and more
- Communicate data findings to engineering teams and serve as a point of contact for all analytical questions
What you have:
- 2-3 years of experience working as a Data Analyst position in the high-tech industry
- Excellent SQL skills
- Experience with Looker/PowerBI/Tableau or other similar data visualization tools
- Technical/ analytical approach, passion for numbers and data
- Degree in Industrial Engineer, Mathematics, Statistics, Computer Science, or a similar field
- Advanced proficiency in written and spoken English with the ability to simplify complex data into actionable insights
- Independent and able to juggle multiple tasks simultaneously
- All-in approach with high accountability, sense of ownership and passion
- Great communication skills and presentation abilities
Bonus Points:
- Experience in defining KPIs and tracking it
- Experience working with AWS services
- Knowledge in programming, especially in Python
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: AWS Computer Science Data analysis Data Analytics Data pipelines Data visualization Engineering Industrial KPIs Looker Machine Learning Mathematics Pipelines Power BI Python R R&D SQL Statistics Tableau
Perks/benefits: Salary bonus Team events
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