Our client, a well-known fintech company, is undergoing an exciting journey, expanding their offerings across various industries. They aim to help customers make informed financial decisions. If you're ready to join a dynamic and innovative environment as their new Marketing Data Analyst, keep reading!

• Track and analyze relevant metrics, including website traffic and campaign performance across multiple platforms and statistical data.
• Proactively identify challenges and recommend opportunities for improvement.
• Provide reporting support (Power BI) for various marketing initiatives, including affiliate, social, CRM, and PPC campaign performance, as well as A/B testing, with a strong focus on analytics and performance.
• Collaborate with internal stakeholders to establish effective measurement and tracking practices to enhance performance understanding.
• Partner with data engineers, data scientists, and digital marketing managers of varying seniority levels to implement a data strategy, expand data-driven marketing campaigns, and improve data literacy across the organization.
• Identify, analyze, and interpret trends or patterns in complex data sets to address data issues and quality concerns.
• Lead projects such as revenue attribution modeling, CLV (Customer Lifetime Value) analysis, and ROI assessment.

• Possess a minimum of 3 years of experience in digital marketing analytics.
• Are knowledgeable about the digital marketing landscape, including SEO, SEM, Affiliates, Social, and CRM, and are familiar with performance measurement metrics such as CTR, CPA, CPM, LTV, etc.
• Have experience in working on attribution projects and CLV models.
• Are skilled in tracking and measuring marketing channels, such as Google Ads, Google Analytics (GA4), Facebook Ads, CRM, and affiliate marketing.
• Demonstrate proficiency in data visualization and dashboard tools (e.g., Google Data Studio, Power BI, etc.).
• Approach work methodically with great attention to detail and a commitment to delivering high-quality results.
• Possess strong statistical, analytical, and problem-solving skills.