Technical Business Analyst

Visa status: U.S. Citizens and those authorized to work in the U.S. are encouraged to apply.
Tax Terms: W2, 1099
Corp-Corp or 3rd Parties: Yes
Technical Business Analyst (with MySQL and SSA expertise ) Sr Technical Business Analyst (MySQL and SSAS expertise)
The Cloud Technology - Sr. Technical Business Analyst- Information & Data Services position will be based in our San Jose office and will be part of an Agile team working with Adobe Cross Cloud, Product, IT and Business Teams to understand the analytics & insights requirements to delivery data-driven Analytics Solutions and address business problems through data insights.
Responsibilities

• Be the analytics subject matter expert regarding enterprise sales, contracting, customer onboarding, product usage
• Support Adobe Information & Data Services(IDS) team through multiple analytical disciplines and in partnership with cross functional teams such as Finance, Sales, Product, Business and IT teams
• Interface regularly with senior team leaders and relevant stakeholders across the Adobe organization
• Identify and prioritize growth opportunities for the Enterprise business through the use of various analytical tools and techniques
• Work effectively with other members of the IDS team
• Drive the problem-solving, synthesis, and storyline development across team projects
• Present findings and recommendations to business stakeholders and Internal IDS Analytics Teams for product delivery
• Define Analytics Product Road Map to address future business needs and use cases.

What you need to succeed:

• Strong hands on experience on Data Analysis, SQL and SSAS
• Minimum 5+ years of experience working with SAP ECC Sales and Distribution transactional data
• 3+ Years of experience working in the Data Warehousing and BI reporting industry
• Experience developing reports using various BI Tools such as Tableau, MicroStrategy, or Power BI
• Confidence in working with colleagues in different roles, including senior management and engineers
• Executive Presentation skills
• Strong analytics skills, including a good understanding of statistics and interests in machine learning techniques
• Excellent understanding of IT infrastructure
• Excellent communication and interpersonal skills
• Business acumen