- 经验
- 任何
- 薪水
- —
- 职位空缺
- 1
- 发布
- 3 天前
Where you'll work
职位描述
About the Role
This Data Analyst position involves leveraging data science and machine learning techniques to construct robust data analysis pipelines. The goal is to support data-driven decision-making and operational improvements. You will collaborate closely with team members, engineering departments, product managers, and business leaders to gain insights into user behavior and patterns across various platforms. Key responsibilities include defining Key Performance Indicators (KPIs), developing project plans, implementing data pipelines, and designing user interfaces to track the adoption and impact of new products and features. You will also be responsible for monitoring pipeline stability and implementing efficiency enhancements. The role requires owning projects from inception to completion, with regular communication to stakeholders regarding progress and performance. Additionally, you will address strategic, tactical, and analytical inquiries concerning data and operations from within the organization.
What We Value
The ideal candidate will possess the ability and drive to independently identify, analyze, and resolve complex issues, ensuring the accuracy of their work. A capacity to excel in a fast-paced, evolving environment, fostering collaboration across different teams, is essential. We seek individuals with an entrepreneurial mindset, constantly exploring opportunities to enhance data utilization, processes, and understanding. A strong enthusiasm for acquiring new skills and adopting innovative problem-solving approaches is highly valued. The role also requires a passion for bringing structure to ambiguous situations. Experience with Spark is considered a plus.
Additional Information
Preferred qualifications include a Master's Degree in Computer Science or a related technical field, coupled with over two years of technical engineering experience. Proficiency in Python and SQL is required, along with skills in Spark, Azure Storages, Azure Machine Learning (AML), PowerBI, Large Language Models (LLM), Prompting, Natural Language Processing (NLP), Machine Learning, JavaScript, C#, C, and C++.