Gender: AnyAge: From 26 to 36Seniority Level: Senior expertRequired Experience Year: Between 2 to 5 yearsWorking days: شنبه - چهارشنبه Job DescriptionWe’re looking for a Senior Marketing Data Analyst to drive insights from campaign, user, and product data.You’ll build dashboards, track OKRs, and analyze ROI across digital and offline channels.Your work will refine targeting, enhance engagement, and shape data-driven growth strategies.ResponsibilitiesAnalyze marketing campaign performance and provide actionable insights to boost conversions and engagement.Develop customer segmentation models to enhance personalization and campaign ROI.Track marketing ROI, support A/B testing, and recommend budget optimizations.Monitor and report on marketing OKRs, delivering strategic insights to leadership.Build and automate dashboards and reports to enable real-time, self-service analytics.RequirementsEducation: Bachelor’s or Master’s degree in Marketing, Data Analytics, Statistics, Computer Science, or a related quantitative field.Experience: 3+ years in marketing or data analytics roles, with a proven ability to deliver insights across cross-functional teams. Experience in fast-paced or high-growth environments is a plus.Analytical Skills: Strong quantitative skills with experience in handling large datasets and applying statistical or machine learning techniques.Tools & Technologies:Proficiency in SQL and Python for data querying and analysis.Advanced Excel skills for reporting and modeling.Experience with BI tools such as Looker Studio, Tableau, or Power BI.Hands-on knowledge of Google Analytics, Google Tag Manager, and similar web/app analytics platforms.Familiarity with WebEngage or other marketing automation tools.Working knowledge of Nightwatch.io or similar tools for testing and tracking.Practical experience with SEO/SEM tools such as Ahrefs, SEMrush, and Google Ads.Dashboarding & Reporting: Skilled in building automated dashboards and visualizing KPIs tailored to different audiences.Communication: Ability to translate complex data into clear, actionable insights for both technical and non-technical stakeholders.
اطلاعات شغل:
متن کامل آگهی:
Age: From 26 to 36
Seniority Level: Senior expert
Required Experience Year: Between 2 to 5 years
Working days: شنبه - چهارشنبه
Job Description
We’re looking for a Senior Marketing Data Analyst to drive insights from campaign, user, and product data.
You’ll build dashboards, track OKRs, and analyze ROI across digital and offline channels.
Your work will refine targeting, enhance engagement, and shape data-driven growth strategies.
Responsibilities
Analyze marketing campaign performance and provide actionable insights to boost conversions and engagement.
Develop customer segmentation models to enhance personalization and campaign ROI.
Track marketing ROI, support A/B testing, and recommend budget optimizations.
Monitor and report on marketing OKRs, delivering strategic insights to leadership.
Build and automate dashboards and reports to enable real-time, self-service analytics.
Requirements
Education: Bachelor’s or Master’s degree in Marketing, Data Analytics, Statistics, Computer Science, or a related quantitative field.
Experience: 3+ years in marketing or data analytics roles, with a proven ability to deliver insights across cross-functional teams. Experience in fast-paced or high-growth environments is a plus.
Analytical Skills: Strong quantitative skills with experience in handling large datasets and applying statistical or machine learning techniques.
Tools & Technologies:
Proficiency in SQL and Python for data querying and analysis.
Advanced Excel skills for reporting and modeling.
Experience with BI tools such as Looker Studio, Tableau, or Power BI.
Hands-on knowledge of Google Analytics, Google Tag Manager, and similar web/app analytics platforms.
Familiarity with WebEngage or other marketing automation tools.
Working knowledge of Nightwatch.io or similar tools for testing and tracking.
Practical experience with SEO/SEM tools such as Ahrefs, SEMrush, and Google Ads.
Dashboarding & Reporting: Skilled in building automated dashboards and visualizing KPIs tailored to different audiences.
Communication: Ability to translate complex data into clear, actionable insights for both technical and non-technical stakeholders.
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