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Capacity Planning Manager (Data & Analytics) - Customer Support, Trust & Safety
Dublin, Ireland
·
On-site
·
Full-time
·
2mo ago
福利厚生
•Parental Leave
•Flexible Hours
•Learning
•Healthcare
必須スキル
Python
React
Node.js
Responsibilities
Trust & Safety Customer Support Operations team will serve as a strategic architect of cost efficiency and operational resilience. This team is accountable for shaping end-to-end forecasting and capacity strategies that directly influence business performance, risk management, and investment decisions.
You will partner closely with cross-functional leaders to translate business priorities into actionable capacity plans, optimize global resource allocation, and proactively identify structural opportunities to improve efficiency and sustainability. Through data-driven insights and strong executive stakeholder influence, you will ensure operational capacity is continuously aligned with evolving business demands.
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Own and drive end-to-end demand forecasting and capacity planning for Trust & Safety Customer Support via data analytics tools, modeling, and automation (e.g., pandas, Num Py, Excel etc.), ensuring alignment with global business objectives, cost efficiency, and operational readiness. This includes exercising independent judgment to recommend and influence key resource allocation decisions in response to changing business needs.
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Design, implement, and continuously optimize planning frameworks, processes, and methodologies that translate strategic objectives into executable capacity plans. Ensure planning outputs materially contribute to business outcomes to enable targets on productivity and cost sustainability.
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Act as a strategic thought partner to Lines of Business (LoB) stakeholders, integrating complex and evolving requirements into holistic capacity strategies. Influence alignment across functions to ensure operational plans are tightly connected to business priorities.
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Build, maintain, and evolve forecasting and capacity models that balance cost, capacity, service levels, and user satisfaction across multiple Lo Bs and geographies.
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Analyze demand, productivity, and capacity data to surface trends, risks, and opportunities, and convert insights into clear recommendations for senior stakeholders and decision-makers.
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Drive BPO budgeting, cost optimization initiatives, and financial governance to ensure effective workforce allocation, cost management, and adherence to financial controls.
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Provide functional leadership through expertise and influence, guiding stakeholders on capacity planning best practices, trade-offs, and implications, while fostering a culture of analytical rigor, accountability, and continuous improvement.
Qualifications
Minimum Qualifications
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Bachelor's degree in a quantitative field (e.g., Finance, Mathematics, Business Analytics, Economics, Supply Chain Management).
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Advanced proficiency in Python for data analysis, modeling, and automation (e.g., pandas, Num Py), as well as strong expertise in Microsoft Excel for advanced modeling and scenario analysis.
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Proven experience (5+ years) in demand forecasting and capacity planning within a large-scale, multi-channel, multi-site technology or operations environment.
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Strong analytical and problem-solving skills, with demonstrated ability to structure ambiguous problems, analyze complex datasets, and drive data-backed decisions.
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Proven experience designing, recommending and executing complex planning initiatives across multiple stakeholders, with the ability to identify risks, manage trade-offs, and recommend pragmatic solutions.
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Proficiency in Chinese and English is required to collaborate with global partners, including workforce planning teams and customer supporting teams based in Mandarin-speaking regions. These interactions include leading and participating in meetings that are conducted in Chinese as well as corresponding in chat or emails.
Preferred Qualifications
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Proficiency in data analytics and visualization tools (e.g., SQL, Power BI, Tableau).
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Experience supporting Customer Support, Trust & Safety, or other high-volume, service-driven operations.
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Experience operating in fast-paced, ambiguous environments with frequent change and competing priorities.
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Resilience and a commitment to self-care, given the emotional demands of the Trust & Safety domain.
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TikTokについて

TikTok
Late StageA short-form video entertainment app and social network platform
10,001+
従業員数
Los Angeles
本社所在地
$220B
企業価値
レビュー
3.8
10件のレビュー
ワークライフバランス
2.8
報酬
3.7
企業文化
4.1
キャリア
3.2
経営陣
2.9
68%
友人に勧める
良い点
Great team dynamics and support
Innovative and creative culture
Good learning opportunities
改善点
Work-life balance challenges
Fast-paced and stressful environment
High expectations and tight deadlines
給与レンジ
49件のデータ
Junior/L3
Junior/L3 · Anti-Fraud Data Analyst
3件のレポート
$143,750
年収総額
基本給
$125,000
ストック
-
ボーナス
-
$126,500
$163,300
面接体験
2件の面接
難易度
4.0
/ 5
期間
21-35週間
体験
ポジティブ 0%
普通 0%
ネガティブ 100%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Behavioral Interview
5
Final Round
6
Offer
よくある質問
Coding/Algorithm
Behavioral/STAR
Technical Knowledge
Culture Fit
ニュース&話題
Hollywood wants to be TikTok. TikTok wants to be TV - Axios
Axios
News
·
3d ago
Hundreds of Fake Pro-Trump Avatars Emerge on Social Media - The New York Times
The New York Times
News
·
3d ago
Firefighters warn parents about dangerous TikTok trends sending kids to hospitals - WFSB
WFSB
News
·
4d ago
QVC prepares for bankruptcy protection in the era of influencers, TikTok and Temu - Chicago Tribune
Chicago Tribune
News
·
4d ago