職位名稱：數(shù)據(jù)分析師

職位概述
我們正在尋找一名數(shù)據(jù)分析師，主要負責為研究團隊收集、處理、優(yōu)化并持續(xù)監(jiān)控關(guān)鍵的數(shù)據(jù)集。該職位需要與數(shù)據(jù)供應(yīng)商積極溝通，并通過API和爬蟲等方式建立穩(wěn)定的數(shù)據(jù)管線。候選人應(yīng)深入理解每個數(shù)據(jù)集的特征，通過可視化、分析和異常檢測來提升數(shù)據(jù)完整性和質(zhì)量，并與研究員緊密合作，從獨特數(shù)據(jù)源中挖掘最大價值。理想的候選人應(yīng)具備注重細節(jié)的工作習慣，熱衷于解決復雜的數(shù)據(jù)問題，并能在快節(jié)奏環(huán)境中出色完成任務(wù)。

主要職責

1. 深入了解各數(shù)據(jù)集的特征、局限性和方法論。
2. 與外部數(shù)據(jù)供應(yīng)商及內(nèi)部團隊協(xié)作，驗證并提升數(shù)據(jù)質(zhì)量。
3. 通過API、爬蟲等方式構(gòu)建并維護穩(wěn)定的數(shù)據(jù)管線，以持續(xù)收集和處理數(shù)據(jù)。
4. 管理并實施數(shù)據(jù)質(zhì)量流程，包括數(shù)據(jù)標準化、異常檢測和一致性檢查。
5. 利用可視化工具和儀表盤展示關(guān)鍵分析結(jié)果，支持基于數(shù)據(jù)的決策。
6. 以口頭和書面方式向研究員及其他相關(guān)方傳達數(shù)據(jù)洞察。
7. 處理另類數(shù)據(jù)（如文本信息），并規(guī)范化數(shù)據(jù)結(jié)構(gòu)以便后續(xù)分析。
8. 執(zhí)行其他必要職責，以支持項目和團隊的成功。

任職資格

• 具備數(shù)據(jù)收集與分析經(jīng)驗，如擁有金融市場數(shù)據(jù)經(jīng)驗更佳。
• 擁有理工科相關(guān)專業(yè)的本科及以上學歷。
• 關(guān)注細節(jié)，擅長探索和理解復雜數(shù)據(jù)集。
• 具備出色的分析和解決問題的能力，能夠從數(shù)據(jù)中得出可執(zhí)行的結(jié)論。
• 熟悉通過API和網(wǎng)絡(luò)爬蟲等方式搭建穩(wěn)定數(shù)據(jù)管線。
• 熟悉數(shù)據(jù)可視化工具（如Tableau），并精通SQL數(shù)據(jù)庫。
• 具備良好的英文閱讀能力。
• 至少掌握一門編程語言（Python優(yōu)先），具備C++經(jīng)驗者更佳。
• 能夠與不同團隊和利益相關(guān)者高效合作。

Job Title: Data Analyst

Job Summary
We are seeking a Data Analyst who will be primarily responsible for collecting, processing, optimizing, and continuously monitoring critical data sets for our Research Team. This position requires active communication with data suppliers and establishing stable data pipelines through APIs and web scraping. The successful candidate will develop a deep understanding of each dataset’s characteristics, enhancing data integrity and quality through visualization, analysis, and anomaly detection, and will collaborate closely with researchers to extract maximum value from unique data sources. The ideal candidate is detail-oriented, passionate about solving complex data challenges, and able to excel in a fast-paced environment.

Key Responsibilities

1. Develop an in-depth understanding of each dataset’s features, limitations, and methodologies.
2. Collaborate with external data suppliers and internal teams to verify and improve data quality.
3. Build and maintain reliable data pipelines (via APIs, web crawlers, etc.) for continuous data collection and processing.
4. Implement data quality processes, including normalization, outlier detection, and consistency checks.
5. Create visualizations and dashboards to highlight key insights and support data-driven decisions.
6. Communicate findings verbally and in writing to researchers and other stakeholders.
7. Handle alternative data (e.g., text-based data) and standardize data structures for further analysis.
8. Perform other necessary duties to support project and team success.

Qualifications

• Experience in data collection and analysis; financial market data experience is a plus.
• Bachelor’s degree in a STEM field.
• Strong attention to detail and an interest in exploring and understanding complex datasets.
• Excellent analytical and problem-solving skills, with the ability to draw actionable conclusions from data.
• Proficiency in building stable data pipelines using APIs and web scraping tools.
• Familiarity with data visualization tools (e.g., Tableau) and strong SQL skills.
• Fluent English reading skills required.
• Proficiency in at least one programming language (Python preferred); C++ experience is a plus.
• Ability to collaborate effectively with diverse teams and stakeholders.

荷鋒科技是Zephyr Solutions LLC全資子公司，提供面向金融服務(wù)與數(shù)據(jù)科學的開發(fā)與支持服務(wù)。

Zephyr Solutions建立于美國芝加哥市，團隊成員畢業(yè)于清華大學，圣母大學，芝加哥大學等國內(nèi)外知名院校，擁有大型國際金融/科技企業(yè)工作背景。