Business Data Analyst II at Microsoft

Redmond, Washington, United States -

Full Time

Start Date

Immediate

Expiry Date

11 Apr, 26

Salary

169800.0

Posted On

11 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Microsoft Fabric, Power BI, SQL, Python, Data Architecture, ETL Processes, Cloud-Based Data Platforms, Data Management, Reporting Automation, KPI Monitoring, Campaign Analytics, AI/ML Concepts, Data Governance, Data Transformation, Data Usability, Stakeholder Collaboration

Industry

Software Development

Description

Overview As a Business Analyst on the Reporting, Analytics, and Data Science (RAD) team, you will own the management and optimization of web data within Microsoft Fabric. This role is pivotal in enabling data-driven decision-making by ensuring high-quality data ingestion, modeling, and accessibility. You will partner with engineering, analytics, and business stakeholders to deliver automated reporting, insights, and AI-driven solutions that modernize our data ecosystem. Responsibilities Data Management: Lead ingestion, transformation, and governance of web data in Microsoft Fabric to ensure accuracy, completeness, and compliance. Reporting & Insights: Design and maintain automated reporting solutions in Power BI to support business reviews and KPI tracking. Data Product Ownership: Manage 1P Store Data as a Product (DaaP) for web data, driving usability and adoption across teams. Business Analysis: Translate business requirements into technical specifications for data workflows and reporting solutions. Modernization Initiatives: Champion best practices for data architecture, automation, and AI integration to improve efficiency and scalability. Stakeholder Collaboration: Work closely with marketing, engineering, and analytics teams to align data solutions with business priorities. Qualifications Strong experience with Microsoft Fabric for data ingestion, modeling, and governance. Proficiency in Power BI, SQL, and Python for analytics and automation. Solid understanding of data architecture, ETL processes, and cloud-based data platforms. Ability to analyze complex datasets and deliver actionable insights. Experience managing large-scale web data and building centralized data products. Familiarity with AI/ML concepts and their application in analytics workflows. Background in reporting automation, KPI monitoring, and campaign analytics. Knowledge of virtual agents or AI-powered analytics tools. Business Analytics IC3 - The typical base pay range for this role across the U.S. is USD $85,100 - $169,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $112,000 - $185,300 per year. Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

The Business Data Analyst II will manage and optimize web data within Microsoft Fabric, ensuring high-quality data ingestion and accessibility. They will collaborate with various teams to deliver automated reporting and insights.