Specialist - Digital Analytics - Jewellery/Luxury/Lifestyle segment
Designation : Specialist - Digital Analytics
- They will play a critical role in tracking and analyzing data to provide actionable insights and recommendations to the brand teams.
Key Responsibilities :
- Track and analyze data from various sources such as social media, performance marketing, eCommerce, email marketing, CRM, and other digital initiatives.
- Extract insights from large data set to provide actionable recommendations to the brand teams.
- Develop and maintain dashboards and reports to track key performance metrics.
- Collaborate with internal teams and external partners to collect data, track, and report on performance, and identify trends and insights.
- Use SQL and Python to build data pipelines, data models, and analytics workflows.
- Stay abreast of industry trends and best practices in digital analytics to continuously improve the department's approach to data analysis and insights.
- Develop training and knowledge-sharing programs to help team members understand and leverage data analytics.
- Participate in cross-functional teams to design and execute data-driven experiments and test new ideas.
Candidate Requirements :
- Bachelor's degree in computer science, engineering, mathematics, statistics, or a related field.
- Minimum of 5 years of experience in digital analytics, with a focus on eCommerce.
- Advanced knowledge of SQL and Python, as well as experience with data visualization tools such as Tableau or PowerBI.
- Excellent data analytical skills with strong attention to detail and the ability to extract insights from large data sets.
- Excellent communication skills, with the ability to present findings and insights to both technical and non-technical audiences.
- Strong project management skills and the ability to work effectively with cross-functional teams.
- A passion for digital marketing and eCommerce and a desire to continuously learn and stay up-to-date with industry trends and best practices
Preferred Qualifications & Skills :
- Proven work experience in the digital analytics domain.
- Excellent written and verbal communication, collaboration, and leadership skills.
- Higher education, preferably in Communication, Marketing, or Business Administration.
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