Data Acquisition Manager

Messe Muenchen India

Data Acquisition Manager

Location: Andheri, Mumbai

Experience: 10-12 years of experience

Role:

We are seeking a Data Acquisition Manager who will play a crucial role in driving our data strategy and enhancing our customer insights capabilities. The successful candidate will focus on creating and executing innovative data acquisition strategies, ensuring that we consistently collect high-quality data to support our trade fair initiatives. This position requires a results-oriented professional with strong analytical skills and proven experience in data sourcing and management.

Roles and Responsibilities

• Develop and implement a comprehensive data acquisition strategy to grow and enhance our customer data repository.
• Identify and leverage various data sources, both online and offline, to increase the volume and quality of customer data acquired.
• Manage ongoing data acquisition campaigns, monitoring their effectiveness and optimizing strategies based on performance metrics.
• Collaborate with marketing and sales teams to align data acquisition efforts with overall business objectives and campaigns.
• Establish partnerships with key organizations and data vendors to broaden our data sourcing capabilities.
• Conduct regular assessments of data quality and compliance to ensure the integrity of acquired data.
• Keep abreast of industry trends and emerging technologies to identify new data acquisition opportunities.
• Train and support team members in data acquisition best practices and tools.

Candidate Requirements:

• Bachelor's degree in Marketing, Data Science, Business Administration, or a related field.
• A minimum of 5 years of experience in data acquisition, marketing analytics, or similar roles.
• Strong understanding of data sourcing techniques and ability to measure and analyze data acquisition performance.
• Experience in using data management and analytics tools (CRM systems, Excel, Google Analytics, etc.).
• Excellent communication and negotiation skills to establish relationships with data partners.
• Proven ability to work collaboratively with cross-functional teams.
• Detail-oriented with strong analytical and problem-solving abilities.
• Ability to thrive in a fast-paced environment and adapt quickly to changing business needs