Product 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.Did you know that over $580 billion is spent each year on digital marketing? Much of that is spent on discovering the right solution, optimizing its performance, building single-use, point-to-point connections between systems. Yet the application landscape in most companies is only getting more and more complex, requiring specialized software suited to accelerating every task and function.
If you are a total data addict who likes to get their hands dirty and 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 Product team and help ensure we make data-driven product decisions.
This is a unique opportunity to work with one of her largest data sets in the mobile industry.
The ideal candidate will have strong technical skills, with a passion for slicing and dicing numbers. They should have great communication skills and can distill numbers into actionable steps to ensure that the AppsFlyer platform remains at the top of its class.
This is a rare opportunity to make an impact in some of the most strategic products, spearhead continuous data analysis and provide insights throughout the AppsFlyer product development process.
What you’ll do
- Analyze our huge data sets using statistics and data mining techniques to find and identify future product opportunities
- Lead and execute continuous data analysis and provide insights throughout AppsFlyer’s product development process
- Help build ETLs to make the team’s work more sufficient
- Improve our product data modeling and collection procedures
- Create and maintain visual dashboards to monitor the product
- Work on several products as part of a multi disciplinary team consisting of product managers, product analysts and customer experience experts
- Collaborate with various internal and external stakeholders on a regular basis, including customer’s presentations
- Measure the product by creating impactful data reports from conceptualization, through data extraction, data analysis, and data mining, to the delivery of clear and actionable insights.
- Serve as a point of contact for the R&D/Product departments on all analytics questions
- Suggest, lead & implement new ideas & projects to improve our product - you own the data.
What you have
- At least 3 years of experience as a data analyst in a big data company
- Proven record of working with “Large” data sets and working with end-users data
- Excellent SQL skills
- Experience in ETL processes
- Excellent skills working with BI tools such as Tableau, Looker, etc.
- Experience in large strategic projects
- Product and business orientation
- Degree in Industrial Engineer, Mathematics, Statistics, Computer Science, or a similar field
- Ability to simplify complex data and communicate to a range of stakeholders
- Advanced proficiency in written and spoken English
- Ability to get things done, from start to end
- Can-do approach
- “All-in” attitude – take personal ownership
Bonus Points
- Experience in Big Query
- Experience working with AWS
- Experience with the digital marketing industry
- Experience with python data analysis packages (Pandas, Numpy)
- Being introduced by an AppsFlyer team member
As a global company operating in 20 countries across 5 continents, 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 Big Data BigQuery Computer Science CX Data analysis Data Mining ETL Industrial Looker Mathematics NumPy Pandas Python R R&D SQL Statistics Tableau
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