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HomeCompanies17liveProduct Data Analyst 產品數據分析師

Product Data Analyst 產品數據分析師

17live · Taipei, 中山區, 104, Taiwan · Active · BambooHR

Job facts

FieldValue
Company17live
TitleProduct Data Analyst 產品數據分析師
Normalized title-
Department / teamHQ/Data Analytics
LocationTaipei, 中山區
Work model-
Employment typeFull Time
Salary-
Statusactive
ATS providerBambooHR
Posted / first seen2024-10-28 / 2026-05-30
Changed / last seen2026-05-30 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from 17live.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through BambooHR.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Taipei.Open
Department jobsActive postings in HQ/Data Analytics.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

Company17live
Sourcee7576a82-3247-47f1-9f71-3277b1a35084
ATS providerBambooHR

Description

歡迎對以下工作內容有興趣的 產品數據分析師 加入我們的大家庭! 我們希望你: ➢對17的產品用戶行為感到好奇 ➢對數據有高度的責任感以及熱愛 ➢擅長把雜亂的raw data轉換成對產品有幫助的分析及建議 工作範圍 包括: ➢分析用戶的行為模式、預測將來的趨勢,以給予產品團隊建議 ➢透過數據找到問題、提供分析結果,並驗證或拒絕產品團隊的假說 ➢設計以及評估任何產品分析方案,例如A/B testing的執行方案及驗證方向 如果您具備以下工作技能及工作經驗,請不要猶豫立即手刀提出申請: ➢有3年以上網路產業相關的工作經驗 ➢SQL的專家,並且了解產品 ➢擁有提供產品視覺化的背景經驗 ➢3年以上資料分析師的經驗 ➢具有編程技能,例如Python或R; ➢精通可視化工具以交付解決方案,例如Tableau,Power BI或Superset; 加分條件: ➢數學,統計學,計算機科學或量化相關領域的學位(碩士/博士); ➢有使用過機器學習技術的經驗在mobile app或直播或行銷行業的工作經驗; The Product Data Analyst is someone who helps the Product team make sense of the enormous amount of data we capture at 17LIVE. This person is someone who is perpetually curious - who loves to find patterns in what to other people seems like chaos. They will perform analysis that will help to drive the roadmap of our product, and so should be someone who takes that responsibility and that opportunity very seriously. ➢Analyze behavioral trends in user data to suggest opportunities of optimization and improvement to the Product Team. ➢Perform analyses requested by the Product team to validate or refute hypothesis. ➢Help design and evaluate A/B tests. The following experiences are favored for this position: ➢Having B2C or B2B2C internet industry experience ➢Master of SQL and other data technologies. ➢Creative data visualization experience. ➢3+ years analyst experience. ➢Possesses programming skills, such as Python or R; ➢Proficient in visualization tools to deliver solutions, such as Tableau, Power BI, or Superset. Bonus Qualifications: ➢A degree (Master's/Ph.D.) in mathematics, statistics, computer science, or a related quantitative field; ➢Experience using machine learning techniques in the mobile app, live streaming, or marketing industry.

Full job record

Job ID6536dc174215a3a14eaf5e16581e71c6756eb2cb
Org ID4498b982-cf13-4785-87db-41f85327d117
Source IDe7576a82-3247-47f1-9f71-3277b1a35084
Board IDe7576a82-3247-47f1-9f71-3277b1a35084
Providerbamboohr
Provider Job Key759
TitleProduct Data Analyst 產品數據分析師
Normalized Title
Statusactive
Activeyes
Location TextTaipei, 中山區, 104, Taiwan
DepartmentHQ/Data Analytics
Team
Employment Typefull_time
Workplace Type
Remote Policy
Country
Region中山區
CityTaipei
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://17live.bamboohr.com/careers/759
Apply URLhttps://17live.bamboohr.com/careers/759
First Seen At2026-05-30 06:11:07Z
Last Seen At2026-06-06 10:26:50Z
Last Checked At2026-06-06 10:26:50Z
Last Changed At2026-05-30 06:11:07Z
Inactive At
Source Posted At2024-10-28 00:00:00Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=bamboohr/board=17live/date=2026-06-06/2026-06-06T10-26-48-308Z-66122c1ffd809ed2ba03bff90b1f72f664fb4a2075d25886855db3b4440e8ae8.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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    "description": "<p><span>歡迎對以下工作內容有興趣的 <span style=\"color: #339966; font-size: 16px; font-weight: bold\">產品數據分析師</span> 加入我們的大家庭!</span><br><br><span>我們希望你:</span><br><span>➢對17的產品用戶行為感到好奇</span><br><span>➢對數據有高度的責任感以及熱愛</span><br><span>➢擅長把雜亂的raw data轉換成對產品有幫助的分析及建議</span><br><br><span><span style=\"font-weight: bold\">工作範圍</span>包括:</span><br><span>➢分析用戶的行為模式、預測將來的趨勢,以給予產品團隊建議</span><br><span>➢透過數據找到問題、提供分析結果,並驗證或拒絕產品團隊的假說</span><br><span>➢設計以及評估任何產品分析方案,例如A/B testing的執行方案及驗證方向</span><br><br><span>如果您具備以下工作技能及工作經驗,請不要猶豫立即手刀提出申請:</span><br><span>➢有3年以上網路產業相關的工作經驗</span><br><span>➢SQL的專家,並且了解產品</span><br><span>➢擁有提供產品視覺化的背景經驗</span><br><span>➢3年以上資料分析師的經驗</span><br><span>➢具有編程技能,例如Python或R;</span><br><span>➢精通可視化工具以交付解決方案,例如Tableau,Power BI或Superset;</span><br><br><span>加分條件:</span><br><span>➢數學,統計學,計算機科學或量化相關領域的學位(碩士/博士);</span><br><span>➢有使用過機器學習技術的經驗在mobile app或直播或行銷行業的工作經驗;</span><br><br><br><span>The <span style=\"font-weight: bold\">Product Data Analyst</span> is someone who helps the Product team make sense of the enormous amount of data we capture at 17LIVE. </span><br><span>This person is someone who is perpetually curious - who loves to find patterns in what to other people seems like chaos. They will perform analysis that will help to drive the roadmap of our product, and so should be someone who takes that responsibility and that opportunity very seriously.</span><br><br><span>➢Analyze behavioral trends in user data to suggest opportunities of optimization and improvement to the Product Team.</span><br><span>➢Perform analyses requested by the Product team to validate or refute hypothesis. </span><br><span>➢Help design and evaluate A/B tests.</span><br><br><span>The following experiences are favored for this position: </span><br><span>➢Having B2C or B2B2C internet industry experience</span><br><span>➢Master of SQL and other data technologies.</span><br><span>➢Creative data visualization experience.</span><br><span>➢3+ years analyst experience.</span><br><span>➢Possesses programming skills, such as Python or R;</span><br><span>➢Proficient in visualization tools to deliver solutions, such as Tableau, Power BI, or Superset.</span><br><br><span>Bonus Qualifications:</span><br><span>➢A degree (Master's/Ph.D.) in mathematics, statistics, computer science, or a related quantitative field;</span><br><span>➢Experience using machine learning techniques in the mobile app, live streaming, or marketing industry.</span><br></p>",
    "compensation": null,
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    "departmentLabel": "HQ/Data Analytics",
    "jobOpeningStatus": "Open",
    "minimumExperience": "Mid-level",
    "jobOpeningShareUrl": "https://17live.bamboohr.com/careers/759",
    "employmentStatusLabel": "Full-Time"
  }
}
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