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17/01 Namrata
Senior Associate - Talent Acquisition at Conde Nast India

Views:119 Applications:28 Rec. Actions:Recruiter Actions:6

Conde Nast India - Associate Director - Data Strategy (7-15 yrs)

Mumbai Job Code: 1207593

Summary about the role:

This position will be a key user and champion of Cond Nast's Data suite - Spire, and will support the growth of other data-driven products across the company.

The role will work closely with the sales teams to develop the commercial data sales strategy and consult on specific engagements.

Roles & Responsibilities:

- Partner with Sales to assess client goals; and then, develop data solutions that help service and deliver upon them by utilizing Conde Nast India's full portfolio of capabilities and assets

- Respond to any pre-sales data requests across categories.

- Prepare and deliver presentations to Sales driving a deep understanding of all new features/capabilities and resulting benefits for clients.

- Partner with Sales on major pitches to ensure we are developing the best data products strategy to win and accelerate revenue.

- Partner with Sales on any relevant client-facing materials geared towards winning business from a particular advertiser, and be available to participate in meetings needed with clients and prospective clients.

- Provide feedback to the internal data team to align the roadmap with evolving client demands and identify proactive opportunities to improve Cond Nast's current offering.

- Ensure a smooth transition from pre-sales to post-sales data teams for all clients.

- To collaborate with international teams in identifying/developing new products and solutions for the Indian market

- Collaborate with the global product and data teams based out of Bangalore and Chennai.

Requirements:

- Experience in Google Ads Manager (DFP), DMPs eg: Treasure data, Permutive, etc.

- Experience working with agencies, ATDs, DSPs is a plus.

- Good Analytical Skills

- Superior verbal and written communication skills

- Numerate, with an attention to detail and competent in Excel and using large data sets.

Education:

Bachelor's degree in Mathematics, Business Administration, or a related technical field

Women-friendly workplace:

Maternity and Paternity Benefits

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