Time since we first saw it
Day 63
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Larnaca, Larnaca, Cyprus
Live, first seen by us 63 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Build and maintain marketing reporting frameworks and KPI dashboards
Analyse campaign ROI and customer lifetime value
Plan and analyse A/B tests to improve marketing KPIs
Develop predictive customer retention models from product usage data
Build user segmentation and targeting strategies from demographics and behaviour
Design, implement, and maintain reporting frameworks to monitor marketing operations and performance.
Evaluate marketing-business metrics and provide ROI analysis for marketing campaigns.
Plan and analyse A/B tests to improve key marketing KPIs.
Utilise product usage data to develop predictive customer retention models.
Develop user demographics, behaviour insights, and segmentation strategies for optimised targeting.
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Day 63
Up longer than most. Similar jobs usually come down between day 5 and day 41.
From 10,536 similar postings that came down. Coming down is not always a hire.
5 open jobs
Open jobs by the week we first saw them, last 12 weeks.
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HFM is an internationally acclaimed multi-asset broker, delivering cutting-edge trading tools, platforms, and conditions to traders worldwide. We are committed to innovation, transparency, and excellence in the financial markets. As we continue to expand, we are seeking a driven and strategic Marketing Data Analyst to join our team. Responsibilities: Design, implement, and maintain reporting frameworks to monitor marketing operations and performance. Conduct in-depth data analysis to uncover opportunities for growth and cost efficiencies. Evaluate marketing-business metrics and provide ROI analysis for marketing campaigns. Analyse large datasets and deliver actionable recommendations to support marketing objectives. Develop user demographics, behaviour insights, and segmentation strategies for optimised targeting. Build and maintain marketing dashboards for tracking KPIs and campaign performance. Collaborate with marketing teams to identify data needs and deliver insightful solutions. Plan and analyse A/B tests to improve key marketing KPIs. Transform complex marketing questions into quantifiable metrics and insights. Utilise product usage data to develop predictive customer retention models. Conduct customer lifetime value analysis and spending benchmarks. Measure and analyse the impact of segmentation and targeting strategies. Continuously drive improvements in data sources, predictive analytics, and automation processes. Requirements BS/MSc in Mathematics, Statistics, Finance, Data Science, or a related field. 2+ years of experience in a data analysis role, working with large datasets to extract insights, build reports, and support business decisions. Advanced knowledge of Microsoft Excel (a must) and proficiency in data visualisation tools like Power BI or Tableau. Advanced skills in SQL and knowledge of Python for data analysis. Strong analytical skills, with the ability to interpret complex data sets and communicate clear insights. Meticulous when working with data to ensure accuracy and quality. Excellent verbal and written communication skills in English. Nice to have: Experience in marketing analytics, including analysing and optimising campaigns to improve customer retention and conversion. Hands-on experience with Google Analytics, Google Ads, Bing Ads, Meta Ads, Criteo, and various media buying platforms. Experience in the financial, fintech, or FX services industry. Resumes must be submitted in English. Applicants must be eligible or have legal authorization to work in the country where the position is based. Benefits Hybrid Work Model (2 days working from home) Wolt Meal Allowance Comprehensive Health Insurance Provident Fund (Upon completion of the trial period) Summer Short Fridays (August) Additional Paid Annual Leave (up to 30 days, based on years of service) Birthday Leave Udemy Business access Gym Membership Referral Bonus Program Additional Support Visa Sponsorship and Relocation Assistance Sounds like you? Let’s write the next chapter together! All Applications will be handled with the strictest confidentiality.
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Larnaca, Larnaca, Cyprus
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