Advertising Platforms group makes it possible for people around the world to easily access informative and imaginative content on their devices while helping publishers and developers promote and monetize their work.
Our technology and services power advertising in Apple News and Search Ads in the App Store. Our platforms are highly performant, deployed at scale, and set new standards for enabling effective advertising while protecting user privacy!
The Ad Platforms Data Insights team is seeking a senior data analyst to join in developing the next generation of analytical solutions working with Sales, Marketing, Product, Engineering, and Leadership. In this role, you will work as a key member of a data-centric team to drive the exploration, analysis, development, execution, and measurement of analytical solutions that are essential to running the business. You'll be owning the charge of turning huge amounts of data generated by user searches, app content, and App Store context into business insights that improve the customer experience for the end-user as well as drive discovery and productivity for app developers.
A successful candidate will have experience in applied predictive modeling, classification, cohort analysis, linear regressions and data visualization. The role requires broad knowledge of existing data mining algorithms and creativity to invent and customize when necessary. You would be a key player in a multi-functional team that delivers insights that have direct and measurable impact.
Do you have 3-5 years of recent experience in a business analyst or data analyst role? Preferably experience in the digital advertising industry or related field
Experience in exploratory data analysis and familiarity with advanced quantitative analysis and statistical techniques
Validated skills and experience in developing data visualizations, dashboards, and reporting in Tableau or a similar reporting tool
Programming skills in SQL required. Comfortable with advanced analytics tools such as Pandas, Jupyter Notebooks, and Spark
Ability to work effectively with data science and engineering partners to meet the data needs of the business, translating business needs into analytical requirements
Comfortable working with modern data technologies. Familiarity with database modeling and data warehousing principles
Ability to communicate the results of analyses in a clear and effective manner with product and leadership teams to influence the overall strategy of the product
Ability to operate comfortably and effectively in a fast-paced, highly cross-functional, rapidly changing environment. Familiarity with agile methods such as scrum
Experience leading teams of data analysts and/ or data scientists is valued
Fluency in Mandarin Chinese is a plus!
Empower Sales, Marketing, or Product teams with insights to inform and fulfill strategic objectives and goals
Quantify the impact of product, sales, and marketing initiatives on customer success and future behavior
Responsible for business analytics work through all phases, including data quality, data analysis, data visualization, and presentation of results and deliverables
Monitor usage metrics, understand business-based explanations for large scale trends and patterns in customer lifecycle behavior
Develop reusable analytics and assets working closely with Data Engineering team to ensure scalability and industrialization of analytical outputs
Education & Experience
Masters or Bachelors degree in a quantitative field of study including statistics, math, economics, operations research or a related discipline