Website Louzan Fashion
Job Position – Marketing Data Analyst
Company Name – Louzan Fashion
To review and interpret market trends, customer experience, competitors’ activities, and marketing strategies for our company.
Play a critical role in driving data-driven decision-making and strategic insights within the marketing department. Your primary responsibility will be to collect, analyze, and interpret marketing data to identify trends, patterns, and opportunities for optimization. You will collaborate with cross-functional teams, including marketing, sales, and product, to provide actionable insights that will enhance marketing strategies, campaign performance, and customer engagement. Your expertise in data analytics will contribute to maximizing the effectiveness and efficiency of marketing initiatives, ultimately driving business growth and revenue.
Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Economics, Business or Computer Science. A master’s degree is a plus.
Proven experience as a data analyst or similar role, preferably within a marketing environment.
Strong proficiency in SQL for data extraction and manipulation. Experience with Python or R is a big plus.
Proficiency in data visualization tools such as Tableau, Power BI, or Google Data Studio.
Solid understanding of statistical analysis techniques, including regression, clustering, and predictive modeling.
Familiarity with web analytics platforms (e.g., Google Analytics) and digital advertising platforms (e.g., Google Ads, Facebook Ads).
Proven experience in CRM management, with hands-on experience in popular CRM platforms such as Salesforce, HubSpot, or Microsoft Dynamics.
Excellent analytical and problem-solving skills, with the ability to translate complex data into actionable insights.
Strong communication skills to effectively convey findings and recommendations to both technical and non-technical stakeholders.
Detail-oriented mindset with a passion for accuracy and data integrity.
Ability to work independently and manage multiple projects simultaneously in a fast-paced environment.
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