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Data Analytics Engineer

North Carolina, United States (On-site)

Data Analytics Engineer

4 Hours ago • 2 Years + • Data Analyst • $83,400 PA - $167,800 PA

About the job

13 skills required for this role

Add these skills to join the top 1% applicants for this job

microservices

azure

nosql

aws

.net-core

foundation

data-science

data-analytics

business-intelligence

financial-data-analysis

cross-functional

team-management

Job Description

The Data Analytics Engineer will design and build secure, resilient, cloud-hosted analytics microservices and micro frontends. This role involves using robust coding practices and the latest technologies to build impactful solutions. Responsibilities include determining appropriate analytical techniques, collaborating across teams for data consistency, building scalable analytical solutions, ensuring data privacy compliance, producing high-quality code, and working with cross-functional teams (product owners, designers, AI/ML specialists, engineers, and data scientists).

Must have:

Data analysis and reporting experience
Experience with OOP, C#, .NET Core, NoSQL
Cloud platform experience (Azure, AWS)
Build and deploy scalable solutions
Data privacy and compliance knowledge

Perks:

Industry leading healthcare
Educational resources
Discounts on products and services
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Networking opportunities

Overview

Microsoft Security aims to make the world a safer place for everyone. Our mission is to reshape security and empower every user, customer, and developer with a security cloud that delivers end-to-end, simplified solutions.

The Central Fraud and Abuse Risk (CFAR) team is seeking a Data Analytics Engineer to design and build highly secure, resilient, and containerized cloud-hosted analytics microservices and micro frontends. Our team leverages deep security and compliance expertise, rich datasets, and exceptional engineering talent to deliver industry-leading, robust services. We build, buy, and integrate best-in-class technologies and datasets to create a flexible, scalable platform that amplifies both automated and human decision-making.

As a Data Analytics Engineer, will build best-in-class solutions using robust coding practices and the latest tech. You thrive on tackling ambitious challenges to build impactful, world-class solutions, while also finding value in contributing to smaller, yet meaningful tasks. If this resonates with you and you align with our team’s values, join us in building the foundation of trust for the digital future.

Qualifications

Required/Minimum Qualifications:

Bachelor's Degree in Statistics, 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 Master's Degree in Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics or related field.
- OR equivalent experience.

Other Requirements:

Ability 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 Qualifications:

Software development experience using OOP, C#, .NET Core, NoSQL.  
Experience working with cloud computing platforms like Azure, AWS.

Data Analytics IC3 - The typical base pay range for this role across the U.S. is USD $83,400 - $167,800 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 $108,900 - $183,000 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Microsoft will accept applications and processes offers for these roles on an ongoing basis.

Responsibilities

Determines appropriate analytical and inferential techniques to address business questions, executes analyses and interprets results with actionable recommendations.
Collaborates across teams to ensure consistency in data sources, methods, models, tools, and business priorities, to build reusable and sharable data schemas.
Coordinates Build and Ship, the next generation of highly scalable, cloud native analytical solutions supporting large scale distributed microservices and applications.  
Remain up to date on data privacy requirements and data handling practices, while ensuring compliance with classification and governance standards and regulations.
Produce high quality code that is unit tested, code reviewed and checked in regularly for continuous integration.   
Work closely with cross-functional teams, including product owners, UX designers, AI/ML specialists, Engineers/Researchers, and data scientists.