Business Analyst, Amazon Business Japan
DESCRIPTION
In this role, the Business Analyst serves as the subject matter expert to fulfill data-driven decision making demands. As the successful candidate, you must be able to work with large and complex datasets. You will continuously evolve business reporting for JP Amazon Business Payments & Lending (ABPL) team, conduct data analysis, build self-service reporting and deliver business insights in an environment of rapid growth and increasing complexity.
You will have the responsibility to track JP ABPL specific goals periodically, and conduct the analysis to drive more value to our customers. You will work closely with ABPL Go To Market (GTM), Marketing, Credit and Business operation team as well as Amazon Business team. You will be passionate about your work, detail-oriented, analytical, and possess creative problem-solving abilities. You will need to demonstrate subject matter expertise in querying and extracting large datasets and the accompanying tools and programming languages. You will possess good communication and project management skills with a clear and precise manner.
このポジションでは、データに基づく意思決定を推進するビジネスアナリストの役割を担っていただきます。B2Bビジネスにおいて、急速に成長し変化する環境の中で、日本のAmazon Business Payments & Lending (ABPL) チームにおける、データ分析や効率的なレポーティングの仕組み立案・展開し、ビジネス成長に活かせるインサイトの発信をご担当いただきます。
主な職責としては、日本のABPLの持つゴールに対する進捗を定期的に確認し、お客様により良いサービスを提供するための分析を行っていただきます。このポジションは、ABPL Go To Market (GTM)、マーケティング、与信、業務運営チーム、インドのデータエンジニアチーム、そしてAmazon Businessチームといった幅広いステークホルダーと協業しながら業務を進めます。細部まで目が行き届き、分析力と柔軟な問題解決能力をお持ちの方を歓迎します。このポジションでは、大規模なデータの取り扱いやデータ抽出、関連するツールやプログラミング言語に関する知識が必要となります。また、様々なステークホルダーと分かりやすくコミュニケーションができ、プロジェクトを円滑に進められる方を求めています。
Key job responsibilities
1. Data analysis and reporting
- Work with GTM and lead analytical deep dives to investigate, identify and substantiate new business growth opportunities.
- Collaborate and enhance reporting capabilities, with Data, Insights & Analytics (DISHA) team being the primary producer of reports and self-service tools.
- Build strong collaborative relationships with DISHA and Data Engineering teams at ABPL and establish strong mechanisms for knowledge sharing, and partner effectively with these teams to define the analytics roadmap.
- Continuously sharpen the skillset by learning and maintaining knowledge of existing and emerging business intelligence tools.
2. Marketing support
- Work with Marketing team and support Marketing campaign setup (customer targeting) and pre/post analysis
- Work with GTM and Marketing team and support JP AB/non-AB customer survey to identify business opportunities
3. Credit support
- Work with Credit Strategy team and support identifying risks and opportunities. (e.g., high risk segment, fraudsters, purchase behaviors of abusers)
4. Biz Ops support
- Work with Biz Ops team in issue handling, customer communication, and Voice of Customer deep dive.
1. データ分析とレポーティング
- GTMチームと協力し、新しいビジネス成長の機会を調査、特定、実証するための詳細な分析を主導
- インドのData, Insights & Analytics（DISHA）チーム*と協力してレポート作成機能を向上。*DISHAチームは主にWWでのレポートと分析ツールの開発を担当
- DISHAチームやABPLのデータエンジニアリングチームと良好な関係を築き、知識共有の仕組みを確立。これらのチームと効果的に連携して日本での分析の計画を立案
- 既存および新しいBI（ビジネスインテリジェンス）ツールの知識を学び、スキルを継続的に向上
2. マーケティングのサポート
- マーケティングチームと協力し、マーケティングキャンペーンの準備（顧客ターゲティング）や事前/事後分析をサポート
- GTMチームやマーケティングチームと協力し、ビジネスチャンスを見つけるためのAmazon Business利用/未利用顧客調査をサポート
3. 与信管理関連のサポート
- 与信管理チームと協力し、リスクと機会の特定をサポート（例：ハイリスク層、不正利用者、問題のある購買行動の特定など）
4. ビジネスオペレーションのサポート
- ビジネスオペレーションチームと協力し、アドホックな問題対応、お客様の声の詳細分析をサポート
About the team
✓ Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. For individuals with disabilities who would like to request for support, visit Disability Accommodations
✓ Amazon is striving to be Earth’s Best Employer. Want to learn about Amazon's employee diversity and inclusion efforts? Visit About Amazon
262051sql, 262051techxbiz, 6909360051, 6909368051, 5121544051
BASIC QUALIFICATIONS
- Bachelor's degree or equivalent
- 5+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience
- 3+ years of business or financial analysis experience
- Experience with SQL
- Basic knowledge of R/Python or similar scripting languages with applications for data analysis (pandas, scikit-learn, stats packages)
- Experience making business recommendations and influencing stakeholders
- Experience defining requirements and using data and metrics to draw business insights
- Fluent both in Japanese and English
PREFERRED QUALIFICATIONS
- MBA and/or CPA and/or CFA desirable, but not required
- Highly analytical and detail oriented with ability to develop new ideas and creative solutions
- Knowledge of AWS technologies (Redshift, Quicksight, SageMaker, EC2, S3)
- Machine Learning experience (forecasting, recommendation, classification, clustering)
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.