Scope:
Marketing/Advertisement is one of the most popular domains where data science/big data technology meets real application. You, as a Senior Data Processing Manager, goal is to showcase your capabilities of connecting needs and seeds in marketing domains : understand business requirements and find technical solutions with translating complicated technical terms into business terms.
To achieve this goal, you will be working in a engineering team to conduct data analysis/processing necessary to execute integrated campaigns, marketing, and advertisement activities. You will also be working closely with business users to create cost-benefit analysis, market sizing, forecasts and budget reporting for all programs and channels - including direct mail, digital strategy and telemarketing.
Your team is also closely working with Rakuten’s research sections to find solutions. You will be required to have deep understandings of these state-of-the-art technologies, apply it to real marketing domain in several fields, and orchestrate all these technologies into harmony and cultivate collaborations among inside/outside of team.
Responsibilities:
1. Understanding of structured and unstructured datasets; create and automate the processing of data such as extraction, transformation and load (ETL) for further processing
2. Conduct data analysis by using data science technologies on data sets
3. Gather requirements and perform analysis of data integration, reporting and analytical capabilities required from marketing and business teams
4. Create documentation including: plans/schedules; requirements; architecture and data models; test and deployment plans
5. Communicating with stakeholders, explaining analytics plan, methodology, and expectation.
6. Implement data integration processes: data extraction from multiple sources; transformation, cleansing and mapping; and loading into a data mart/warehouse
-----Manage data requests and ensure data quality
-----On-boarding new business units into the data marketing platform with your colleagues.
7. Identify gap or room of improvements in AD/Marketing performance, provide plans to fill the gap, and make it happen by getting supports from your colleagues.
8. Enhance, educate, and guide your team to achieve high agility, high contribution to business, and catching up state-of-the-art technologies related to advertisement industries by bringing your knowledge/experience to team.
Qualification:
1. At least 5-10 years of relevant professional experience
2. Demonstrated critical thinking and translating business needs into technical requirements
3. Experience with SQL, and ETL tools and processes
4. Experience with building and operating data marts/warehouses
5. Experience with big data technologies, like Hadoop Eco-System, Spark, MongoDB etc, and analyze data stored in it.
6. Strong understandings in machine learning and/or statistical analysis.
Rakuten is built on a philosophy of empowerment where everyone has the chance to make an impact. We believe in taking on new challenges and driving innovation.
Together, we get ahead through success and learn from failure. In the end, truly empowered people produce amazing results.
No matter your area of interest, we need your spirit, energy and drive to push us further and help unlock our potential.
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