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Job Description & How to Apply Below
Job Title:
Analytics Manager (AVP equivalent)
Resource Level: Level 7
Analytics Offering: Marketing Ops
Location :
Mumbai/Bangalore/Gurugram
Experience
Required:
12-18 years
Detailed responsibilities:
• Responsible for managing delivery across Marketing Analytics, Consumer Insights, Reporting and Dashboards.
• Understand the business, industry context and apply marketing analytics concepts to provide business solutions. Understand functional and technical requirements from the client.
• Prepare insights from various digital, marketing and CRM data sources. Present actionable recommendations to senior stakeholders
• Lead strategic analytics delivery for clients across the globe. Ensure quality assurance of all work products by team, adherence to delivery timelines and contractual SLAs
• Drive value adds to the client by undertaking right projects and measuring impact (uplift in engagement etc)
• Manage a team of analysts. Responsible for mentoring, planning career growth for the resources
• Establish best project management practices, leverage tools to track tasks and issues.
Must Haves:
• Experience in managing analytics delivery and. End to end understanding of analytics lifecycle and experience in Data Management, Business Intelligence, Customer Insights & Reporting with high exposure to international clients (in direct client facing roles)
• Experience in Analytics delivery, stakeholder management, project management, demand prioritization, resource allocation and team management.
• Strategic thinker with excellent skills in planning, team leadership and client communications.
• Strong knowledge and working experience in Marketing Platforms, especially in Analytics
• Familiar with data querying and manipulation – SQL, Big Query •
Strong aptitude in working and generating insights from diverse data sources – digital, social, campaign, CRM, and broader marketing analytics datasets
Working knowledge of visualization tools like Tableau / Power BI/Data Studio
Familiarity with offline data, survey, CRM and transaction datasets
Consumer insights using Kantar Track/Nielsen or any similar tools
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