Data Analyst

Job Description

Deriv.com | Full timeMarketing Data AnalystDubai, United Arab Emirates | Posted on 04/07/2022 {{getI18n( zr.cw.refertofrnd )}} {{getI18n(zr.careers.publicpage.meta.viewapplication)}} {{getI18n(data[0].applynow)}}As a Marketing Data Analyst at Deriv, you?ll play an important role in building our online presence and ensuring the success of our digital marketing strategy. Your outstanding analytical, reporting, and communication skills will be crucial in developing successful campaigns, driving return on investment (ROI), and delivering value to our target audience worldwide. Your challenges * Identify growth opportunities by analysing customer behaviour across multiple channels. * Contribute to our expansion goals by developing strategies based on an in-depth understanding of our products, services, and target audience. * Execute the strategy behind our B2B and B2C marketing efforts by collaborating with multi-functional teams and third-party vendors. This includes planning our marketing budget, conducting A/B and incrementality tests, and optimising paid marketing campaigns. * Monitor our marketing campaigns and keep key stakeholders informed of the progress, success, and failure of campaigns. * Assess campaign results against company goals, identify trends and insights, and optimise future campaigns to increase ROI. * Adapt the latest marketing best practices and technology to reinforce our strategy and meet our business objectives.Requirements* A minimum of 3 years working experience in a similar role * Outstanding analytical skills and excellent knowledge of statistics and mathematics * Keen problem-solving skills with a data-driven mindset and high attention to detail * Strong experience in conducting acquisition funnel analysis, developing PPC campaigns, optimising campaigns in all stages, and optimising bid strategies on digital marketing platforms * Good working experience with Google Analytics, AdWords, Tag Manager, and email marketing tools * Experience in raw data analysis using Google Big Query (or other data warehouse systems), Google Data Studio, Tableau, or Python * Familiarity with A/B testing and multivariate experiments * Excellent spoken and written English communication skillsBenefits* Market-based salary * Annual performance bonus * Medical insurance * Housing and transportation allowance * Casual dress code * Work permit {{getI18n(zr.careers.publicpage.meta.viewapplication)}} {{getI18n(data[0].applynow)}} {{userData.full_name}} {{userData.role.name}}, {{userData.profile.name}}{{getI18n( crm.sme.skill.list.head.experience )}}{{getI18n(crm.auditlog.skillset)}} {{getI18n(crm.sme.skill.list.head.experience)}} {{getI18n(crm.sme.skill.list.head.last.used)}} {{getI18n(crm.sme.system.skill)}} {{getI18n(crm.auditlog.skillset)}} {{getI18n(zr.skillset.proficiency)}} {{getI18n(crm.sme.skill.list.head.experience)}} {{getI18n(crm.sme.skill.list.head.last.used)}} {{getI18n(zr.candidateportal.skillname.mandatory)}} {{getI18n(zr.candidateportal.skillname.unique)}} {{getI18n(zr.cl.iam.error.morethanmaxlength,255)}} {{getSkillProficiencyFromLevel(skill.body.level,i18n)}} {{getI18n(crm.contactus.option.None)}} {{getI18n(crm.sme.skill.level.master)}} {{getI18n(crm.sme.skill.level.intermediate)}} {{getI18n(crm.sme.skill.level.beginner)}} {{if(skill.body.exp,getI18n(crm.indeed.workexp.years,skill.body.exp),getI18n(-None-))}} 1 {{getI18n(crm.year.lower)}} {{getI18n(crm.indeed.workexp.years,exp)}} {{if(skill.body.lastUsed,skill.body.lastUsed,getI18n(-None-))}} {{getI18n(crm.contactus.option.None)}} {{year}}{{getI18n(crm.sme.refine.suggested)}}* {{suggSkill}} {{getI18n(zr.candidateportal.add.skills)}} {{getCombinedSkillNames(skills,30,isSkillNameDoubleEncode)}} * {{if(isSkillNameDoubleEncode,trimContent(getTextContentFromHTML(unescape(skill.name)),25),trimContent(skill.name,25))}} {{getI18n(zr.skillset.proficiency)}} - {{getSkillProficiencyFromLevel(skill.level,i18n)}} {{getI18n(Experience in years)}} - {{skill.exp}} {{getI18n(crm.sme.skill.list.head.last.used)}} - {{skill.lastUsed}} {{initializeFilterSkillsLength()}} {{initializeFilterSkillsLength()}} {{increaseFilterSkillsLength()}} * {{trimContent(skill.name,25)}} {{skill.name}} * +{{arithmetic(getFilterSkillsLength(skills),numTags,-)}} {{trimContent(currentJob.location,25)}} {{currentJob.location}} {{trimContent(currentJob.description,150)}} {{currentJob.description}} {{trimContent(currentJob.location,25)}} {{currentJob.location}} {{trimContent(currentJob.description,150)}} {{currentJob.description}} {{trimContent(currentJob.location,25)}} {{currentJob.location}} {{trimContent(currentJob.description,150)}} {{currentJob.description}} {{trimContent(location,25)}} {{location}}** {{trimContent(type,25)}} {{type}}{{unescape(sanitizeHTML(descriptionHTML))}} {{unescape(removeUnwantedCss(org_info.description))}} {{org_info.description}}

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