[Coupang] Strategic Planning & Analysis Specialist (Eats Ads BD Strategy & Market Intelligence)

Company Introduction

Coupang Eats began with food delivery and has expanded into grocery shopping and retail, creating new experiences that make customers' everyday lives more convenient. Driven by constant efforts to deliver a better experience to customers, we keep taking on challenges and are leading change in new services and categories.
 
Coupang Eats gives greater roles and responsibilities to team members who create their own opportunities and deliver results. You can turn your ideas into action, create bigger opportunities through results, and experience the satisfaction of directly driving business growth.
 
If you want to grow alongside experts across fields through bigger challenges, join Coupang Eats today.

The Coupang Eats Ads Sales team is a core group within the Ad Sales division that leads strategic partnerships with large brands (Enterprise), agencies and major franchise partners and drives maximum advertising revenue. We are looking for a Senior/Lead Business Analyst who demonstrates unique expertise in this area and uses data to gain insight into market trends and the business mechanics of our partners.

Going beyond simple metric monitoring or after-the-fact reporting, you will prove with data the answer to ‘Why Coupang Eats Ads?’. You will define the key numbers for the strategic pitch deck that will persuade C-Level and key marketing decision-makers (CMO/VP), and act as a data strategist who, from a business development perspective, drives both advertiser growth and Coupang Eats revenue expansion at the same time.

Main Responsibilities

1. Discovering market and category opportunities from a BD & Sales perspective

• Precise analysis of market and competitive environment: Using SQL and BI tools, analyse in depth the structural changes by category, region and time of day across delivery platforms, QSR and F&B markets.
• Deriving BD discovery indicators: Identify hidden demand within categories that partners are not aware of (market share gap, unpenetrated regions, conversion rates of target customer groups, etc.) and derive market insights that will become the key hook for new business proposals.

2. Designing strategic numbers for sales proposals

• Producing pitch-ready data: Design and validate ‘impactful storytelling data’ to be included in pitch decks for C-Level/CMO audiences at top-tier brands and agencies.
• ROI/incremental lift analysis: Rigorously and statistically validate the real business impact of Coupang Eats ad spend on a brand's net incremental sales, customer LTV and market share growth, building the logic for partners' budget upsell.

3. Building advanced Sales Enablement & analytics frameworks

• Developing strategic frameworks: Rather than simple performance reports, establish frameworks usable across the entire sales pipeline, such as diagnosis of marketing efficiency by advertiser and forecasting/projection models for expected sales.
• Building visibility tools for C-Level and external engagement: Directly design and build frameworks for internal sales strategy and advanced dashboards for large external partners.

4. Advertiser optimisation and revenue maximisation strategy proposals

• Business impact-focused proposals: Diagnose advertising efficiency according to brands' menu strategy, pricing policy, targeting and promotion mix, and propose tailored growth roadmaps for each advertiser.
• A/B testing and machine learning/performance modelling: Lead A/B tests of ad performance and module optimisation experiments, and support partners in confirming their marketing ROI based on analysis of ad delivery logic.

Requirements

• Candidates with at least 7 years of practical experience in data analysis, business analysis (BA), strategy consulting or BD strategy
• Candidates who can independently structure complex data, develop strategy and complete sales targeting logic
• Candidates who can go beyond cleaning data and translate into clear business language what a figure means for the business and how it can persuade an advertiser in a pitch deck
• Candidates with advanced SQL skills and extensive experience in complex data modelling and automation using Tableau, Power BI, Looker or similar tools

Preferred Qualifications

• Candidates from e-commerce, O2O, AdTech or top-tier strategy consulting firms with experience in data-driven BD proposal writing and business opportunity discovery
• Pitch deck visualisation and storytelling excellence: candidates with experience producing data facts and visual slides that directly contributed to closing major advertiser deals
• Advanced analytics capability: candidates with a deep understanding of Python/R-based statistical analysis, A/B test design and validation, and performance value measurement (such as attribution modelling)
• Successful revenue impact experience: candidates with a concrete track record of data-driven proposals that actually drove advertiser budget increases and major contract wins, rather than simply completing reports

Selection Process and Important Information

• Selection process
  • Document screening - recruiter screening call - role fit interview - core competency interview - final decision
  • The selection process may differ by role and may change depending on schedule and circumstances.
  • Selection schedule and results will be communicated individually to the email address registered on your application.
• Notes
  • This notice may close early once recruitment is complete.
  • If there is any false information in the application, the offer may be cancelled.
  • Employment protection candidates (veterans, persons with disabilities, etc.) may receive preferential treatment in accordance with relevant laws.
  • Job level and scope of responsibilities may be changed in consideration of the candidate's overall career and experience. If such a change is necessary, the candidate will be contacted at an appropriate time before the final offer notice.
  • Employment may be restricted if statutory qualifications required for recruitment and job performance are not met.
  • Employment type is permanent and includes a 12-week probationary period. However, where required for business reasons, the above probationary period may be waived, shortened or extended.

Privacy Policy 

• The Coupang Group collects and processes your personal data in accordance with its Privacy Policy for Job Applicants (link below). https://www.coupang.jobs/kr/privacy-policy/

Document Return Policy 

1. This notice is provided pursuant to Article 11(6) of the Act on Fair Hiring Procedures.
2. Applicants who were not selected in the final decision may request the return of the hiring documents they submitted, in accordance with the Act on Fair Hiring Procedures. However, this does not apply to documents submitted via the website or email, or documents voluntarily submitted without the company's request. Where hiring documents are lost due to natural disaster or other reasons not attributable to the company, they are deemed returned.
3. Applicants requesting the return of hiring documents under paragraph 2 above shall complete a request form for return of hiring documents [Form No. 3 of the Enforcement Rules of the Act on Fair Hiring Procedures] and submit it by email to ([contact details removed]). The documents will be sent by registered mail to the address specified within 14 days from the date of confirmed submission. In this case, the registered mail charges will be payable by the recipient, so please note this. 
4. In preparation for return requests under paragraph 2 above, the company will retain the original hiring documents submitted by applicants for 180 days from the date the hiring decision is confirmed. If no return request is made by then, all hiring documents will be destroyed without delay in accordance with the Personal Information Protection Act.
5. However, paragraphs 1 to 4 above apply only where the labour laws of the Republic of Korea apply. They do not apply in other cases.