the world closer together. Through our family of apps and services, we're
building a different kind of company that connects billions of people around
the world, gives them ways to share what matters most to them, and helps bring
people closer together. Whether we're creating new products or helping a small
business expand its reach, people at Facebook are builders at heart. Our
global teams are constantly iterating, solving problems, and working together
to empower people around the world to build community and connect in
meaningful ways. Together, we can help people build stronger communities –
we're just getting started.
Are you passionate about Facebook’s product, analytics and technology? The
Analytics team is looking for fast-moving analytics candidates and data
junkies who want to make an impact. Candidates will help own analytics for a
particular product or business at Facebook and work with product managers and
engineers to translate the analysis into meaningful impact to the business.
Please note that candidates will have a general interview and then we will
make a determination of actual team assignments. This has a minimum twelve
(12) week duration. Our Tel Aviv office is located in a prime location on
Azrieli Sarona Tower, Begin Road, right in the heart of the city. we have some
of the most beautiful views of the city. We provide a fun atmosphere for you
to work in, allowing you to have all the creativity you need to launch your
career.
Responsibilities
* Mine massive amounts and perform large-scale data analysis to extract useful business insights
* Design and implement reporting dashboards that track key business metrics and provide actionable insights
* Identify actionable insights, suggest recommendations and influence the direction of the business by effectively communicating results to cross functional groups
* Work closely with a Product Manager and Engineering team to proactively create rule and manage decisions
* Backend software engineering to build scalable solutions and help automate data processing challenges
* Prioritize leads so that the teams work on the most valuable cases
* Suggest improvements in the tools and techniques to help scale the team
Minimum Qualification
* Pursuing a BS, MS or PhD degree in Computer Science, Applied Mathematics, Statistics, Industrial Engineer, Operations Research, or related technical field from an academic institution
* Experience in solving analytical problems using quantitative approaches (or equivalent)
* Experience with SQL or other programming languages (Python, Java, and/or C++)
* Development experience in at least one scripting language (PHP, Perl, Python, etc.)
Preferred Qualification
* Experience with statistical analysis, experience with packages such as R, MATLAB, Excel, etc. preferred
