Data Analyst

Required Qualifications:

• Bachelor's Degree in Computer Science
• OR related technical field AND technical engineering experience with coding in languages, proficient in Python and SQL.

Responsibilities:

• 1. Apply data science and machine learning to build data analysis pipelines for data-driven decisions and operations.
• 2. Partner with team members, engineering, product and business leaders to understand current user behavior and patterns across platforms.
• 3. Develop KPIs, create project plan, implement Pipelines and design user interfaces to understand delivery and adoption of new products and capabilities.
• 4. Monitor pipelines for stability, suggest and enact efficiency initiatives measures
• 5. Own projects end-to-end while communicating with stakeholders about milestones and performance.
• 6. Respond to strategic, tactical, and analytical questions from within Microsoft about data and operations.

What We Value:

• 1. Ability and desire to independently identify, analyze, and resolve ambiguous issues and self-check work.
• 2. Ability to thrive in a dynamic and changing environment, collaborating and working cross-functionally across teams
• 3. Entrepreneurial spirit - always thinking about how data, process, views, understanding can be improved.
• 4. Keen interest in learning new tools and approaches to problems.
• 5. Love for bringing order to ambiguity.
• 6. Experience with Spark is desirable.

Preferred Qualifications:

• Master's Degree in Computer Science
• OR related technical field AND 2+ years technical engineering experience, proficient in Python and SQL, Skilled in Spark, Azure Storages, AML (Azure Machine Learning), PowerBI, LLM, Prompting, NLP, Machine Learning, JavaScript, C#, C, C++.