Teradata-Ready Data Analyst with SQL/Python Expertise

Jiasuer Julaiti

+1-346-***-**** ************@*****.*** Eligible to work in the U.S. with no restriction EDUCATION

North American University

Master of Science in Computer Science, concentration in Data Analysis (GPA: 3.3) Graduation: 12/2024 – Houston, TX

Teaching Assistant, Computer Science Department

Python Workshop Instructor, ACM-W Club

North China Electric Power University

Bachelor of Science in Computer Science – Network Engineering Graduation: 06/2021 – Baoding, China EXPERIENCE

CSAT Solutions - Data Analyst, Quality (MLB) 04/2025–Present

• Deliver decision support analytics by designing and maintaining end-to-end data pipelines (SQL Server, Python, Excel) to evaluate repair performance, yield, and cost drivers across high-volume operational datasets.

• Apply exploratory data analysis (EDA) and statistical techniques to identify performance variance, root causes, and optimization opportunities impacting KPIs such as yield, turnaround time, and rework rates.

• Integrate and reconcile multiple disparate data sources (transactional repair data, technician inputs, quality logs), applying data hygiene rules to ensure analytical accuracy and audit readiness.

• Translate analytical findings into clear, executive-ready insights, dashboards, and written recommendations for cross-functional stakeholders, influencing process improvements and prioritization decisions.

• Build Python and SQL-based automation to reduce manual reporting effort, improve data timeliness, and enable scalable analytics workflows.

• Develop visualization assets in Tableau and Power BI to communicate trends, anomalies, and recommendations to technical and non-technical audiences.

• Document assumptions, methodologies, and validation logic to support peer review, compliance, and repeatability of analyses. Great Wall Motor Co. LTD – Data Developer 07/2021 – 07/2023

• Built and maintained large-scale analytical data pipelines and cloud data warehouses supporting marketing, product, and business intelligence use cases.

• Conducted quantitative analysis on customer behavior, operational performance, and product metrics to inform marketing strategy and business planning.

• Partnered with marketing, engineering, and operations teams to translate business objectives into data-driven analytical solutions.

• Designed automated analytics tools using Python (Pandas, NumPy) and SQL, improving reporting efficiency and enabling faster insight delivery.

• Supported dashboarding and performance tracking initiatives, helping stakeholders monitor KPIs and identify optimization opportunities across channels. PROJECTS

VFIR Analytics & Reporting Automation — CSAT Solutions 04/2025–Present

• Designed an end-to-end analytics workflow (SQL Python Tableau/Power BI) to evaluate performance trends and quality outcomes acrosss high-volume operational data.

• Implemented data validation, anomaly detection, and quality gates to ensure reliable metrics for leadership decision-making.

• Enabled recurring insight delivery through automated refreshes, standardized KPIs, and executive-friendly visualizations. Intelligent Vehicle Verification Platform – Great Wall Motor Co. LTD 07/2021 – 07/2023

• Led backend analytics architecture for a large-scale data processing platform supporting verification, reporting, and performance analysis.

• Built internal analytical tools that reduced manual effort by 1,500+ hours annually, improving data accuracy and operational decision-making. SKILLS

Analytics & Programming: Python, R, SQL, Java

Data Science & Statistics: Exploratory Data Analysis (EDA), Statistical Analysis, KPI Optimization, Experiment Analysis Databases & Platforms: SQL Server, Snowflake, Oracle, PostgreSQL Visualization & BI: Tableau, Power BI

Cloud: Alibaba Cloud, AWS, Azure

Languages: English (Fluent), Chinese (Native), Uyghur (Native), Japanese (Intermediate),Spanish(Intermediate)

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