Position Overview​​

As an IT Technical Analyst, you will bridge business needs with technical solutions by designing, implementing, and maintaining ​​AI-driven analytics​​ and ​​BI systems​​. You will collaborate with cross-functional teams (e.g., data scientists, business stakeholders) to translate requirements into scalable data pipelines, ensuring alignment with organizational goals and enabling data-driven decision-making 

.

​​Core Responsibilities​​

AI/BI Solution Development & Maintenance​​

Develop and optimize ​SQL/Python-based data pipelines​​ for machine learning, predictive analytics, and BI reporting.

Implement and manage ​Snowflake data warehouses​including performance tuning, cost optimization, and dynamic data masking.

Automate ETL workflows using Python (Pandas/NumPy) to ensure real-time data accuracy and reduce manual intervention .

2.Business Analysis & Technical Translation​​

Analyze business requirements to design functional specifications and system architecture documents 

Lead user acceptance testing (UAT) and system integration testing (SIT) to validate solutions against performance metrics (e.g., response time, concurrency) 

3.System Operations & Support​​

Monitor AI/BI system health, resolve incidents (e.g., data anomalies, performance bottlenecks), and provide Tier-2 on-call support .

Maintain technical documentation (architecture diagrams, runbooks, recovery protocols) to ensure knowledge continuity 

Technology Optimization & Innovation​​

Evaluate and integrate emerging tools (e.g., TensorFlow, Power BI) to enhance system capabilities 

Implement ​​Snowflake optimization strategies​​ (e.g., resource monitoring, Stream/Task scheduling) to reduce costs and ensure compliance (GDPR, ISO 27001) 

​​Soft Skills

​​Analytical Thinking​​: Decompose complex problems and design actionable solutions 

​​Communication​​: Articulate technical concepts to non-technical stakeholders and drive cross-team consensus 

​​Adaptability​​: Thrive in agile environments with evolving priorities and tight deadlines 

​​Education & Experience：Bachelor’s degree in Computer Science, Data Science, or related field.

​​1–5 years​​ in IT roles involving data analysis, system integration, or cloud infrastructure. Recent graduates with project experience in Snowflake/Python may apply