We are seeking a highly analytical and detail-oriented Data Analyst Marketing (Online & Offline) to join our team. In this role, you will analyze marketing campaigns, digital events, and offline activations to provide insights that drive performance improvements. Your expertise in data interpretation will help refine marketing strategies, optimize spend, and enhance customer acquisition and retention.
Responsibilities:
Analyze marketing campaign performance across multiple channels, including email, social media, paid advertising, webinars, and events.
Develop and maintain dashboards and reports to track key performance indicators (KPIs) related to marketing campaigns and events.
Use statistical models and data visualization techniques to identify trends, patterns, and opportunities for optimization.
Collaborate with marketing teams to define campaign objectives, target audiences, and success metrics.
Conduct A/B testing and attribution analysis to evaluate campaign effectiveness and ROI.
Provide insights into customer behavior, segmentation, and engagement to enhance marketing strategies.
Work closely with the Data Engineering team on data acquisition and enrichment for our data warehouse.
Assist in forecasting and budgeting by providing data-driven recommendations.
Ensure data accuracy and integrity by managing data sources, cleansing datasets, and automating data processes.
Requirements: Minimum 2 years experience as Marketing, Data or Business analyst, preferably in an Internet company
Experience with marketing analytics tools such as Google Analytics, HubSpot, Marketo and/or Salesforce.
Strong analytical skills, high level of SQL - must.
Bsc/BA in exact sciences such as Statistics/Economics/Mathematics/Physics or Industrial Engineering, Master degree - an advantage.
Strong skills in data visualization using Looker, Tableau, or similar tools.
Knowledge of marketing attribution models, customer segmentation, and predictive analytics.
Excellent problem-solving and critical-thinking abilities.
Ability to communicate complex data insights to non-technical stakeholders.
Detail-oriented with strong organizational skills and the ability to manage multiple projects.
High level of English
Team player, good communication and presentation skills.
This position is open to all candidates.