Senior Data Analyst (Coupang Play)

Key Skills

Data science techniques, Effective communication skills, ETL frameworks, MATLAB Programming, Python Programming, R Programming, SAS, SQL

Job Description

Coupang Play’s Analytics team operates at the nexus of business, product, marketing and technology to help the business grow subscribers and drive mission-critical key performance indicators. As a Senior Data Analyst on the Analytics team you’ll work cross-functionally with internal stakeholders to develop, scale and uplevel data infrastructure and tools that drive bespoke business reporting and forecasting needs, as well as use data-driven techniques to solve complex business problems.

The ideal candidate will be a self-starter who can develop a strong perspective on what world-class marketing and growth analytics should look like at Play, can work with teams to understand ambiguous challenges and deploy robust technical solutions that solve problems, increase process efficiencies, empower business owners to make strategic decisions, and drive Play’s overall growth.

What You Will Do

• Identify areas of opportunity for top-of-funnel growth and remove barriers to user adoption.
• Drive the growth of subscribers by working with product, engineering, marketing and finance teams to identify growth levers that drive acquisition, reduce churn, improve retention, monetization and LTV.
• Define business, growth and marketing KPIs and metrics critical to Play’s success, and develop infrastructure to automate tracking and reporting of these metrics.
• Partner closely with our engineering, product, operations and finance teams to wrangle unstructured data from source systems, and architect and deploy robust data pipelines.
• Build, launch, and maintain dashboards that delight stakeholders and provide them with actionable metrics to support strategic decision-making.
• Use data to identify the best targeting, channels and messages that drive user adoption, viewership and engagement, and measure marketing campaign success.
• Identify, analyze, interpret trends or patterns in complex data sets to deliver clear, sound and actionable insights and recommendations.
• Identify recurring analyses and deploy automation solutions that improve or eliminate manual work.
• Drive ad-hoc, end-to-end analysis into strategic issues as needed by management.

Basic Qualifications

• BA/BS degree in Computer Science, Information Systems or equivalent practical experience in business intelligence, data analytics, data science or data engineering roles.
• 5+ years of practical experience using SQL to manipulate complex and unstructured data sets
• 5+ years of practical experience maintaining data marts and data pipelines via ETL tools such as Airflow, Hive, Presto, etc.
• 5+ years practical experience building executive-level dashboards and visualizations with tools such as PowerBI, Tableau, Cognos, Business Objects, QlikView, etc.
• Practical experience measuring and reporting various marketing approaches such as CAC, LTV, ROAS, attribution, forecasting, etc.
• Practical experience designing A/B and multivariate tests and/or using statistical methods to interpret test results and present findings to a non-technical audience.
• Practical experience using quantitative and statistical techniques to solve business problems such as hypothesis testing, regression, causal and correlation analysis, etc.
• Independent problem solver able to work backwards from user/business requirements to deploy best-in-class solutions with limited guidance.
• Ability to own multiple technical projects simultaneously in a fast paced and dynamic environment.
• Exemplary communication, writing and interpersonal skills.
• As a senior, you can own and prioritize your work, manage deadlines, and help others do the same.

Preferred Qualifications

• Experience and/or passion in the OTT video streaming industry.
• Ability to speak and write in both English and Korean fluently.
• Experience working with datasets using Python, R, SAS, MATLAB, or other statistical software.
• Experience with data modeling and schema design.

Recruitment Process and Others 

Recruitment Process   

• Application Review - Phone Interview - Onsite (or Virtual Onsite) Interview – Offer  
• The exact nature of the recruitment process may vary according to the specific job and may be changed due to scheduling or other circumstances.  
• Interview schedules and the results will be informed to the applicant via the e-mail address submitted at the application stage.  

Details to Consider   

• This job posting may be closed prior to the stated end date for application if all openings are filled.     
• Coupang has the right to rescind an offer of employment if a candidate is found to have submitted false information as part of the application process.     
• Coupang does not discriminate against disabled applicants or those with veteran status. We are proud to offer equal opportunities for all applicants.  
• Job titles and responsibilities may be subject to change depending on the candidate’s overall experience, etc. This will be communicated to the candidate at the appropriate time before the offer.

Privacy Notice 

• Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below. 
• https://www.coupang.jobs/en/privacy-policy/