{"id":222,"date":"2019-11-18T02:44:18","date_gmt":"2019-11-18T02:44:18","guid":{"rendered":"https:\/\/radiantjapan.com\/?p=222"},"modified":"2019-11-18T02:45:58","modified_gmt":"2019-11-18T02:45:58","slug":"good-morning-tokyo-data-world-a-very-exciting-opportunity-has-opened-for-2x-data-analysts-to-work-at-global-western-insurance-company-based-in-tokyo","status":"publish","type":"post","link":"https:\/\/radiantjapan.com\/ja\/2019\/11\/18\/good-morning-tokyo-data-world-a-very-exciting-opportunity-has-opened-for-2x-data-analysts-to-work-at-global-western-insurance-company-based-in-tokyo\/","title":{"rendered":"Good morning Tokyo Data world. A very exciting opportunity has opened for 2x Data analysts to work at global western Insurance company based in Tokyo."},"content":{"rendered":"\n

\uff11\uff0e<\/strong>Job\nResponsibility<\/strong><\/p>\n\n\n\n

\u30fbTo support management in consumer segment division to\nmake management decisions by using statistical data analysis and modeling so\nthat the management facing issues coming from operations can make a judgement\nwith information based on more advanced data analysis.  <\/p>\n\n\n\n

\u30fbTo execute and make action plans to improve conversion\nrate for insurance policies and acquire new potential customers with modeling\nthe data where sales and marketing departments can use based on the data\nanalysis.   <\/p>\n\n\n\n

\u30fbTo contribute to \u201c increase in revenue with profitability\u201d\nfor consumer segment division by constantly monitoring and revising the\ndeveloped models and by optimizing marketing investment and maximizing customer\nlifetime value     <\/p>\n\n\n\n

\uff12\uff0e<\/strong>Key Tasks\n& Accountabilities<\/strong><\/p>\n\n\n\n

\u30fbDeveloping customer journey models for purchasing\ninsurance policies with Digital Analytics <\/p>\n\n\n\n

            Funnel analysis for\npurchasing insurance policies with web log analysis<\/p>\n\n\n\n

            Developing funnel\nconversion lift model<\/p>\n\n\n\n

\u30fbDeveloping model and analyzing campaign data for each\nmedia by profiling potential customers<\/p>\n\n\n\n

            Making profiles for\ncustomers and customer segment by channel<\/p>\n\n\n\n

            Developing optimal\nallocation model on investment by mass media channel   <\/p>\n\n\n\n

            Selecting segments for\noutbound follow-up to improve conversion rate<\/p>\n\n\n\n

            Developing model and\nmaking A\/B testing on follow-up campaign for potential customers <\/p>\n\n\n\n

\u30fbDeveloping model to improve retention rate by profiling\nexisting customers<\/p>\n\n\n\n

            Selecting segments for\noutbound follow-up to improve retention rate<\/p>\n\n\n\n

            Developing model and making A\/B testing on follow-up\ncampaign for existing customers<\/p>\n\n\n\n

\u30fbPromoting and operational efficiency and optimization <\/p>\n\n\n\n

            Predicting call volume\nfor customer care center & optimizing allocation of the staffs<\/p>\n\n\n\n

            Specifying bottleneck by\ncustomer purchasing history and purchasing process analysis <\/p>\n\n\n\n

\u30fbSupporting senior data analysts<\/p>\n\n\n\n

\uff13\uff0e<\/strong>Qualifications\/Experience<\/strong><\/p>\n\n\n\n

\u30fbBasic knowledge in Statistics, Probability, and\nInformation Theory<\/p>\n\n\n\n

\u30fbExperience (3+ years) in data extraction from database, analysis and modeling (Time Series Analysis , Generalized Linear Model, Machine Learning and etc.) as a data analyst –<\/p>\n\n\n\n

\u30fbProficiency in at least one of SAS, R and Python <\/p>\n\n\n\n

E<\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

\uff11\uff0eJob Responsibility \u30fbTo support management in consumer segment division to make management decisions by using…
\u7d9a\u304d\u3092\u8aad\u3080<\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"nf_dc_page":"","om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[1],"tags":[49,42,50],"class_list":["post-222","post","type-post","status-publish","format-standard","hentry","category-uncategorized","tag-data-analyst","tag-data-analytics","tag-dataintokyo"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/paiMNf-3A","_links":{"self":[{"href":"https:\/\/radiantjapan.com\/ja\/wp-json\/wp\/v2\/posts\/222","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/radiantjapan.com\/ja\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/radiantjapan.com\/ja\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/radiantjapan.com\/ja\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/radiantjapan.com\/ja\/wp-json\/wp\/v2\/comments?post=222"}],"version-history":[{"count":2,"href":"https:\/\/radiantjapan.com\/ja\/wp-json\/wp\/v2\/posts\/222\/revisions"}],"predecessor-version":[{"id":224,"href":"https:\/\/radiantjapan.com\/ja\/wp-json\/wp\/v2\/posts\/222\/revisions\/224"}],"wp:attachment":[{"href":"https:\/\/radiantjapan.com\/ja\/wp-json\/wp\/v2\/media?parent=222"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/radiantjapan.com\/ja\/wp-json\/wp\/v2\/categories?post=222"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/radiantjapan.com\/ja\/wp-json\/wp\/v2\/tags?post=222"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}