Do you enjoy the magic and deep understanding that is unlocked through big data assets? Do you enjoy working with cutting edge technology to drive deeper understanding and execute on marketing and media goals? Microsoft’s Research + Insights Team is among the brightest, boldest, most innovative in the world. We are intellectually curious, analytical, persistent in sharing our opinions and recommendations, and believe impact is a team sport. We strive to have an open, inclusive, and transparent culture. As part of this team, you will have the opportunity to work on business-critical projects, learn from experts, and make a real impact on the future of technology. We are looking for a Senior Data Integration Specialist to join the Research + Insights team. This role is for you if you are passionate about data, MarTech tracking, scaling the work you do, and relish collaborating with other teams to drive meaningful impact for Microsoft. 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** We are seeking a skilled Senior Data Integration Specialist to join our team. This person will be responsible for connecting multiple 1P (first party) and 3P (third party) data sets to gain deeper customer and marketing campaign understanding. This requires an understanding of metering, tracking technologies, analytics and building pipelines to extend external systems like Adobe Analytics, Maketo etc, The ideal candidate will have experience in leveraging the latest marketing technology and tracking systems to achieve business goals. This role requires understanding of ad tech platforms, and large primary 1P data sets and the ability to integrate 3P data. All of the responsibilities will be completed in compliance with Microsoft’s Privacy Policy and in accordance with our Secure Future Initiative. In this role, you will: + Bring your deep understanding of how analytics systems and metering bring together media customer and potential customer behaviors to diagnose media. + Write durable code to connect internal and external marketing systems based on marketing business requirements using SQL, Python, Azure Synapse and similar tools. + Work with business users to design and create new campaign and marketing data assets. These will provide deeper diagnostic understandings of media engagement. + Expand and maintain existing campaign data assets as our fast-paced business goals evolve. + Collaborate with Microsoft’s internal engineering and data teams to ingest useful data signals. + Collaborate with Privacy teams to ensure all guidelines are followed to protect Microsoft’s data assets. Other: + Embody our culture and values . **Qualifications** **Required/Minimum Qualifications** + Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis + OR Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 2+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis OR 2+ years technical engineering experience with coding + OR equivalent experience. + 3+ years of experience working with media, such as Advertising Platforms and Marketing Technology. + 4+ years of experience working in a data intensive environment and translating business needs into data requirements and managing data assets (experience with Microsoft Azure stack, SQL, Python, Azure Databricks, Synapse, Power BI, Fabric, Machine Learning and AI). **Additional or Preferred Qualifications** + Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 6+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis + OR Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field AND 4+ years experience in data analysis and reporting, data science, business intelligence, or business and financial analysis + OR equivalent experience. + Kusto and Cosmos knowledge and 2+ years of experience pulling data to inform business decisions. Data Analytics IC4 - The typical base pay range for this role across the U.S. is USD $103,800 - $200,300 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 $133,700 - $219,200 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 Microsoft will accept applications for the role until January 20th, 2025. Microsoft is an equal opportunity employer. Consistent with applicable law, 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 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) .