Senior Data Analyst (Marketing)

N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002, we unite 2,400+ tech-savvy professionals across 40+ countries, working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud, data, AI/ML, embedded software, IoT, and more, driving digital transformation across finance, manufacturing, telecom, healthcare, and other industries. Join N-iX and become part of a team where your ideas make a real impact.

Our client is a leading European online car marketplace, serving over 30 million monthly users across 18 countries. As a Senior Data Analyst – Marketing, you will play a pivotal role in shaping the future of online car markets and enhancing the experience of millions of car buyers and sellers through data-driven marketing insights.

We are looking for an experienced Senior Marketing Data Analyst to strengthen the client's team, with a particular focus on supporting strategic integration initiatives, including mergers and acquisitions (M&A), while also contributing to the client's broader marketing analytics roadmap. This opportunity is ideal for a candidate who enjoys bringing together data from different organizations, building scalable analytical solutions, and partnering with senior stakeholders on complex, high-impact projects.

Responsibilities:

• Support strategic integration and M&A initiatives by assessing existing data landscapes, integrating marketing data from acquired businesses, aligning KPI definitions, attribution methodologies, and reporting, and ensuring a seamless transition into the client's analytics ecosystem.
• Partner with business, product, engineering, and analytics teams across multiple organizations to identify integration requirements, reconcile data discrepancies, establish scalable reporting solutions, and ensure business continuity throughout integration projects.
• Design and implement scalable data models and pipelines within the client's Data Lake to integrate, harmonize, and manage marketing data across channels, brands, and acquired businesses.
• Build and maintain engaging dashboards to monitor demand, user acquisition, and marketing efficiency, following data visualization best practices to deliver clear and actionable insights.
• Collaborate with fellow analysts to evaluate performance across key platforms - including Google Analytics, Adjust, AppsFlyer, Google Ads, Meta, and Criteo - and translate findings into actionable business recommendations.
• Contribute technical expertise and business judgment to deep-dive analyses and executive reports for senior leadership, and lead cross-functional projects end to end, managing timelines, risks, and stakeholder communication.
• Leverage AI tools and automation to increase the efficiency, quality, and scale of analytical work - from data preparation and insight generation to reporting and stakeholder communication.

Requirements:

• 5+ years of experience in marketing analytics, ideally within online marketplaces or B2C/B2B digital businesses, with a strong understanding of online and app marketing, campaign optimization, and budget allocation.
• Experience supporting large-scale data integration projects, mergers and acquisitions, or complex organizational integrations, including data migration, KPI harmonization, reporting consolidation, and stakeholder management.
• Proficiency in SQL and hands-on experience building data pipelines and ELT workflows using tools such as Airflow and dbt, with familiarity across cloud data platforms such as BigQuery, Redshift, or Snowflake.
• Strong experience with BI and dashboarding tools (Tableau, Amazon QuickSight, Power BI, or similar), combined with a solid understanding of data visualization best practices.
• Deep understanding of Google Analytics, mobile measurement platforms (Adjust, AppsFlyer), and major advertising platforms (Google, Meta, Criteo), including tracking implementations and reporting structures.
• A proven track record of independently leading cross-functional analytics initiatives across multiple business units and navigating complex stakeholder environments during periods of organizational change.
• A proactive approach to integrating AI tools into analytical workflows, with genuine curiosity about how AI can improve the speed, quality, and impact of analytical work.
• Excellent verbal and written English skills.

Nice to have:

• Experience with web and app attribution models.
• Experience with Amazon QuickSight.
• Experience with Google Search Console and Google Tag Manager.
• Experience working with advertising platforms and Mobile Measurement Platforms (MMPs).