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Capacity Planning Manager (Data & Analytics) - Customer Support, Trust & Safety
Dublin, Ireland
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On-site
·
Full-time
·
1mo ago
Benefits & Perks
•Parental leave
•Flexible work arrangements
•Professional development budget
•Generous paid time off and holidays
•Team events and activities
•Comprehensive health, dental, and vision insurance
•Parental Leave
•Flexible Hours
•Learning
•Healthcare
Required Skills
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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About TikTok

TikTok
Late StageA short-form video entertainment app and social network platform
10,001+
Employees
Los Angeles
Headquarters
$220B
Valuation
Reviews
3.1
3 reviews
Work Life Balance
1.5
Compensation
2.0
Culture
1.2
Career
1.8
Management
1.0
5%
Recommend to a Friend
Pros
Limited positive feedback available
Company size allows for potential opportunities
Technology platform experience
Cons
Mass layoffs and poor handling of terminations
Unprofessional management and HR behavior
Exposure to traumatic content without adequate support
Salary Ranges
52 data points
Junior/L3
Junior/L3 · Anti-Fraud Data Analyst
3 reports
$143,750
total / year
Base
$125,000
Stock
-
Bonus
-
$126,500
$163,300
Interview Experience
4 interviews
Difficulty
3.5
/ 5
Duration
21-35 weeks
Experience
Positive 0%
Neutral 25%
Negative 75%
Interview Process
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Onsite/Virtual Interviews
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Data Structures
News & Buzz
25-Year-Old TikTok Star Khaby Lame Sells His Media Company for Nearly $1B - observer.com
Source: observer.com
News
·
5w ago
TikTok users say they're being censored after new owners were announced. The company says it's a tech issue. - Reason Magazine
Source: Reason Magazine
News
·
5w ago
TikTok users can't upload anti-ICE videos. The company blames tech issues
HN
·
5w ago
·
1,490
·
1000
TikTok is investigating why some users can't write 'Epstein' in messages - NPR
Source: NPR
News
·
5w ago