Job Description

DESCRIPTION

The Senior Business Intelligence Engineer (BIE III) will be responsible for leading analytics for PV SEA markets and collaborate (a) to define key marketing output goals and evolve the marketing input planning framework (b) supporting channel owners with measurement and optimization, and (c) driving service-level deep-dives related to customer acquisition, engagement & retention. Customers constantly provide us feedback in the form of their interactions with and usage of Prime Video and this role is expected to work closely with marketing and partner analytics and data science teams to analyze this data, consolidate into insights, and communicate effectively to drive decision making at speed.

Key job responsibilities
- Work closely with Business heads to help track business performance, develop advanced analytical and reporting solutions to optimize investments and meet business objectives
- Work closely with marketing channel owners to identify trends and patterns in channel-performance and customer interaction behavior to iteratively improve outcomes
- Proactively develop new metrics and studies to quantify the value of different aspects of video content that lead to improvements in customer engagement and retention
- Build/fine-tune analytical and data science models to help define output goals for marketing channels & campaigns. Forecast KPIs basis historic and current performance and bridge gap towards final goals
- Support the customer lifecycle management team in defining customer segmentation strategy and goals
- Integrate disparate data sets from across internal/external sources to formulate a consolidated plan for service engagement and membership retention
- Drive incrementality measurement of marketing investments with global data science and measurement teams
- Own marketing KPI reporting interfacing with finance and planning teams
- Evaluate A/B tests, support in measurement of success metrics, statistical inferences and make recommendations
- Own development of new dashboards for KPI tracking/improving and automate frequently needed analyses. Work closely with BI teams on customizing existing marketing dashboards and reports
- Maintain data pipelines for dashboards/reports and collaborate with data engineers to create new data pipelines, improve efficiency in existing ones and fix breakages if any

A day in the life
- A mindset of trying to find quantitative answers to any question is at the core of who will be successful in this role. The ideal P&A manager loves a challenge!
- Ability to manage multiple competing priorities simultaneously to meet tight deadlines is expected.
- This person in this role will be working closely with global teams across Amazon with ample opportunities to both share what we are learning and learning from teams across the globe
- Recommendations made will be used to drive significant marketing decisions and a strong attention to detail is therefore needed

About the team
- We are customer obsessed. A singular focus on doing the right thing for our customers drives our actions.
- A cornerstone of high performance in this role is an extreme orientation towards learning iteratively. We are on Day 1 of building Prime Video for our customers in India and we will need to continuously uncover the human insights that can be tested to craft the ideal on-site experience for our customers.
- A passion for movies, TV shows and other great digital content wouldn\'t hurt!

We are open to hiring candidates to work out of one of the following locations:

Singapore, SGP

BASIC QUALIFICATIONS

- 10+ years of professional or military experience
- 5+ years of SQL experience
- Experience programming to extract, transform and clean large (multi-TB) data sets
- Experience with theory and practice of design of experiments and statistical analysis of results
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining
- Experience with statistical analytics and programming languages such as R, Python, Ruby, etc.

PREFERRED QUALIFICATIONS

- Experience working directly with business stakeholders to translate between data and business needs
- Experience managing, analyzing and communicating results to senior leadership
- Master\'s degree in statistics, data science, or an equivalent quantitative field
- Experience with AWS technologies

Amazon