POSITIONS

 
Japan's Premier Provider of Executive Search

Sr Business Intelligence Engineer, JP Pricing Tokyo

019731
Position

10-21 Sr Business Intelligence Engineer, JP Pricing/シニアビジネスインテリジェンス JPプライシング

Company

Consumer Goods & Retail

Salary(¥):
11-15 million
Responsibilities
On this team, you will be a core part of the team that leads the development of new products/programs that will step change customer experiences in the rapidly evolving e-commerce business. You will own the design and development of BI solutions, metrics, reports and analyses, across multiple pricing programs.

Your key responsibilities include:
1. Own the design and development of metrics, reports, and dashboards to drive key business decisions across pricing programs in partnership with product managers and business leaders
2. Suggest and build new metrics and analysis that enable better perspective on business
3. Analyze key metrics to uncover trends and root causes of issues.
4. Interface with business customers, gathering requirements and delivering complete BI solutions.
5. Establish scalable, efficient, automated processes for large scale data analyses
6. Plan, design, implement, and manage a deployment of self-service data visualization platform
7. Manage weekly, monthly, and quarterly business reporting. Present insights to stakeholders and executives.

労働時間・賃金の詳細、試用期間の有無、加入保険等の詳細は求職者と面接の際に明示予定




Requirements
 BASIC QUALIFICATIONS
1.Bachelor's degree in Computer Science, Mathematics, Statistics, Finance, Economics or a related technical field
2. 5+ years of years of relevant work experience in analytics, data engineering, business intelligence, market research or related field
3. Experience gathering business requirements, using industry standard business intelligence tools to extract data, formulate metrics and build reports
4. Experience using SQL, ETL and databases in a business environment with large-scale, complex datasets
5. Experience with statistical analysis using R/SAS/Matlab or similar tools

PREFERRED QUALIFICATIONS
1. Master’s Degree in a relevant technical field or an MBA
2 Experience using big data technologies
3. Experience using business intelligence visualization tools e.g. Tableau
4. Experience architecting large scale BI solutions