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Overview

We’re building a Frontier Marketing organization that learns fast and executes with precision and agility through AI-powered insights. Our Marketing Analytics team builds AI and advanced analytics models that enable us to create intelligent tools that empower marketers with the data-driven insights they need to optimize marketing impact and deliver rich recommendations for sellers to drive opportunities in their accounts. To accelerate this transformation to Frontier marketing, we are looking for a Senior Marketing Analyst to lead the marketing analytics efforts for key audiences such as developers, technical decision makers, and business decision makers to provide marketers with the intelligence they need to effectively target, engage, and increase advocacy. Are you interested in data, analytics, and digital marketing? Would you like to be on a team that is solving problems in online marketing, in partnership with some of the world’s brightest and most advanced marketers? And all of that whilst working in the dynamic, customer-focused, and data-rich world of cloud-based business products? In this role, you’ll create and deliver audience insights that enable Corp and Field marketers to drive business growth. You will partner with product marketing, analytics, and data science colleagues to integrate audience engagement data across multiple sources of marketing engagement (e.g., events, digital content, trials, social & blogs, relationship marketing, web, product usage, contactability, sales pipeline, etc.) in ways that enable marketers across the commercial business to take actions to optimize marketing impact. Your work will inform strategy, optimize marketing execution, and help advance our ambition to become a Frontier Marketing organization. Your work will be highly visible and used to help marketers understand the patterns of audience engagement with marketing tactics that drive desired outcomes. If you possess strong analytical skills (e.g. Power BI, Microsoft Fabric, SQL, etc.), curiosity and ability to cut through ambiguity, and a passion for understanding and measuring marketing efficacy and business results, this is the role for you.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

Execute data analysis and lead discussions interpreting results and connecting them to relevant business context. - Lead the Audience insight and reporting process for monthly business reviews with commercial product marketing teams. - Provide actionable recommendations to optimize business investments in a way that can be repeated and scaled as needed. - Develop new analytical frameworks and measures to evaluate effectiveness of engagement & acquisition strategy changes. - Help build new tools and leverage your data-driven storytelling skills to communicate opportunities for Microsoft to improve the value we get from marketing investments. - Work across teams focused on audience engagement and advocacy to ensure to share learning and best practices for maintaining streamlined and accurate reporting.

+ **Other**

+ Embody our Culture (https://www.microsoft.com/en-us/about/corporate-values) and Values (https://careers.microsoft.com/us/en/culture)

Qualifications

Required/minimum qualifications

Master's Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 3+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Finance, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 4+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience.

Additional or preferred qualifications

Master's Degree in Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 6+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR Bachelor's Degree in Statistics, Finance, Mathematics, Analytics, Engineering, Computer Science, Marketing, Business, Economics or related field AND 8+ years experience in data analysis and reporting, business intelligence, or business and financial analysis OR equivalent experience.

Business Analytics IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 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 $137,600 - $222,600 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. (https://careers.microsoft.com/v2/global/en/accessibility.html)