- The typical base pay range for this role across the U.
- Embody our culture and valuesEmployment typeFull-TimeWork siteUp to 100% work from homeRole typePeople ManagerDisciplineData EngineeringProfessionSoftware Engineering
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Principal Data Analytics Manager - Redmond, United States - Microsoft
Description
Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further.This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.
Microsoft's Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence.
The products our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI.
Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture.
Within Azure Data, the Microsoft Fabric platform team builds and maintains the operating system and provides customers a unified data stack to run an entire data estate.
The platform provides a unified experience, unified governance, enables a unified business model and a unified architecture.Within the Fabric Platform team, the Data and Telemetry Team is responsible for the data the drives the Fabric product itself, offering services and tools for different needs from near real time monitoring and troubleshooting to business intelligence.
We are looking for a Principal Data Analytics Manager for the Data Curation and Analytics Team.The team provides and democratizes insights by developing and managing data curation pipelines and data models that build on deep service and business knowledge, and cutting edge tools.
We do not just value differences or different perspectives.We seek them out and invite them in so we can tap into the collective power of everyone in the company.
As a result, our customers are better served.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.
In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.
Required/Minimum QualificationsBachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 6+ years experience in business analytics, data science, software development, data modeling or data engineering work.
OR Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ year(s) experience in business analytics, data science, software development, or data engineering workOR equivalent experience.2+ years of people management experience.
Other RequirementsAbility to meet Microsoft, customer and/or government security screening requirements are required for this role.These requirements include, but are not limited to the following specialized security screenings:
Microsoft Cloud Background Check:
This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.
Preferred/Additional Qualifications2+ years of people management experience in a data/analytics team with comparable responsibilities.2+ years of hands-on experience in cloud computing and data solutions and services, such as Azure Data Lake, Azure ML, Azure Data Factory and Power BI.3+ years of hands-on experience in data modeling and related tools and languages, such as T/SQL, tabular models, DAX, etc.2+ years of hands-on experience in Machine Learning.
Data Engineering MThere 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 $173,200 - $282,200 per year.
Certain roles may be eligible for benefits and other compensation.Find additional benefits and pay information here:
Microsoft will accept applications for the role until May 20, 2024. Microsoft is an equal opportunity employer.
All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
#azdat#azuredataAs a Principal Data Analytics Manager , you will:Lead a team of Data Engineers and Data Scientists. Define team objectives and outcomes, and deliver success through empowerment and accountability.
Manage the contractual relationship between the team and the data stakeholders, ensuring aspects such as shaping of high-quality requirements, work prioritization and delivery timelines, compliance, etc.
Ensure the quality of team's deliverables, in terms of platform and data effectiveness, trustworthiness, reliability, etc.Manage engagements with external suppliers, with the goal of maximizing delivery output with quality and compliance.
Collaborate with leadership, product managers and stakeholders to identify organizational data and data-platform needs and provide solutions, such as metrics, architectures, and data models.
Drive cross-organizational efforts in support of such solutions.
Principal Data Analytics Manager professionals in Redmond
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Greg Schellenberg
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