object(stdClass)#2386 (16) { ["absolute_url"]=> string(72) "https://careers.appsflyer.com/jobs/position/6776973002?gh_jid=6776973002" ["data_compliance"]=> array(1) { [0]=> object(stdClass)#2430 (5) { ["type"]=> string(4) "gdpr" ["requires_consent"]=> bool(false) ["requires_processing_consent"]=> bool(false) ["requires_retention_consent"]=> bool(false) ["retention_period"]=> NULL } } ["internal_job_id"]=> int(5567107002) ["location"]=> object(stdClass)#2401 (1) { ["name"]=> string(8) "Herzliya" } ["metadata"]=> NULL ["id"]=> int(6776973002) ["updated_at"]=> string(25) "2023-05-24T10:04:07-04:00" ["requisition_id"]=> string(4) "1910" ["title"]=> string(20) "Product Data Analyst" ["content"]=> string(7917) "<p><span style="font-weight: 400;">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.</span></p> <p>&nbsp;</p> <p><span style="font-weight: 400;">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.&nbsp;</span></p> <p><span style="font-weight: 400;">This is a unique opportunity to work with one of her largest data sets in the mobile industry.</span></p> <p><span style="font-weight: 400;">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.</span></p> <p>&nbsp;</p> <p><span style="font-weight: 400;">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.</span></p> <p><br><br></p> <p><strong>What you’ll do</strong></p> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Analyze our huge data sets using statistics and data mining techniques to find and identify future product opportunities</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Lead and execute continuous data analysis and provide insights throughout AppsFlyer’s product development process</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Help build ETLs to make the team’s work more sufficient</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Improve our product data modeling and collection procedures</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Create and maintain visual dashboards to monitor the product</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Work on several products as part of a multi disciplinary team consisting of product managers, product analysts and customer experience experts</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Collaborate with various internal and external stakeholders on a regular basis, including customer’s presentations</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">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.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Serve as a point of contact for the R&amp;D/Product departments on all analytics questions</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Suggest, lead &amp; implement new ideas &amp; projects to improve our product - you own the data.&nbsp;</span></li> </ul> <p><strong>What you have</strong></p> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">At least 3 years of experience as a data analyst in a big data company</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Proven record of working with “Large” data sets and working with end-users data</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Excellent SQL skills</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Experience in ETL processes</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Excellent skills working with BI tools such as Tableau, Looker, etc.</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Experience in large strategic projects</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Product and business orientation</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Degree in Industrial Engineer, Mathematics, Statistics, Computer Science, or a similar field</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Ability to simplify complex data and communicate to a range of stakeholders</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Advanced proficiency in written and spoken English</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Ability to get things done, from start to end</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Can-do approach</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">“All-in” attitude – take personal ownership</span></li> </ul> <p>&nbsp;</p> <p><strong>Bonus Points</strong></p> <ul> <li style="font-weight: 400;"><span style="font-weight: 400;">Experience in Big Query</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Experience working with AWS&nbsp;&nbsp;</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Experience with the digital marketing industry</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Experience with python data analysis packages (Pandas, Numpy)</span><span style="font-weight: 400;">&nbsp;</span></li> <li style="font-weight: 400;"><span style="font-weight: 400;">Being introduced by an AppsFlyer team member</span></li> </ul> <p><span style="font-weight: 400;">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.</span></p>" ["departments"]=> array(1) { [0]=> object(stdClass)#2400 (4) { ["id"]=> int(4054705002) ["name"]=> string(9) "Analytics" ["child_ids"]=> array(0) { } ["parent_id"]=> NULL } } ["offices"]=> array(1) { [0]=> object(stdClass)#2399 (5) { ["id"]=> int(4007790002) ["name"]=> string(8) "Herzliya" ["location"]=> string(8) "Herzliya" ["child_ids"]=> array(0) { } ["parent_id"]=> int(4009217002) } } ["compliance"]=> NULL ["demographic_questions"]=> NULL ["questions"]=> array(9) { [0]=> object(stdClass)#2398 (4) { ["description"]=> NULL ["label"]=> string(10) "First Name" ["required"]=> bool(true) ["fields"]=> array(1) { [0]=> object(stdClass)#2397 (3) { ["name"]=> string(10) "first_name" ["type"]=> string(10) "input_text" ["values"]=> array(0) { } } } } [1]=> object(stdClass)#2396 (4) { ["description"]=> NULL ["label"]=> string(9) "Last Name" ["required"]=> bool(true) ["fields"]=> array(1) { [0]=> object(stdClass)#2395 (3) { ["name"]=> string(9) "last_name" ["type"]=> string(10) "input_text" ["values"]=> array(0) { } } } } [2]=> object(stdClass)#2394 (4) { ["description"]=> NULL ["label"]=> string(5) "Email" ["required"]=> bool(true) ["fields"]=> array(1) { [0]=> object(stdClass)#2393 (3) { ["name"]=> string(5) "email" ["type"]=> string(10) "input_text" ["values"]=> array(0) { } } } } [3]=> object(stdClass)#2392 (4) { ["description"]=> NULL ["label"]=> string(5) "Phone" ["required"]=> bool(true) ["fields"]=> array(1) { [0]=> object(stdClass)#2391 (3) { ["name"]=> string(5) "phone" ["type"]=> string(10) "input_text" ["values"]=> array(0) { } } } } [4]=> object(stdClass)#2390 (4) { ["description"]=> NULL ["label"]=> string(9) "Resume/CV" ["required"]=> bool(true) ["fields"]=> array(2) { [0]=> object(stdClass)#2389 (3) { ["name"]=> string(6) "resume" ["type"]=> string(10) "input_file" ["values"]=> array(0) { } } [1]=> object(stdClass)#2388 (3) { ["name"]=> string(11) "resume_text" ["type"]=> string(8) "textarea" ["values"]=> array(0) { } } } } [5]=> object(stdClass)#2087 (4) { ["description"]=> NULL ["label"]=> string(12) "Cover Letter" ["required"]=> bool(false) ["fields"]=> array(2) { [0]=> object(stdClass)#2218 (3) { ["name"]=> string(12) "cover_letter" ["type"]=> string(10) "input_file" ["values"]=> array(0) { } } [1]=> object(stdClass)#2203 (3) { ["name"]=> string(17) "cover_letter_text" ["type"]=> string(8) "textarea" ["values"]=> array(0) { } } } } [6]=> object(stdClass)#2204 (4) { ["description"]=> NULL ["label"]=> string(16) "LinkedIn Profile" ["required"]=> bool(false) ["fields"]=> array(1) { [0]=> object(stdClass)#2205 (3) { ["name"]=> string(20) "question_23663920002" ["type"]=> string(10) "input_text" ["values"]=> array(0) { } } } } [7]=> object(stdClass)#2206 (4) { ["description"]=> NULL ["label"]=> string(54) "Do you have 3+ years of experience as a data analyst ?" ["required"]=> bool(true) ["fields"]=> array(1) { [0]=> object(stdClass)#2207 (3) { ["name"]=> string(20) "question_23663921002" ["type"]=> string(10) "input_text" ["values"]=> array(0) { } } } } [8]=> object(stdClass)#2208 (4) { ["description"]=> NULL ["label"]=> string(59) "How many years of working experience with SQL do you have? " ["required"]=> bool(true) ["fields"]=> array(1) { [0]=> object(stdClass)#2209 (3) { ["name"]=> string(20) "question_23663922002" ["type"]=> string(10) "input_text" ["values"]=> array(0) { } } } } } ["location_questions"]=> array(0) { } }