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Sr. Data Analyst - Workforce Forecasting & Analytics

About Pinterest:  

Millions of people across the world come to Pinterest to find new ideas every day. It’s where they get inspiration, dream about new possibilities and plan for what matters most. Our mission is to help those people find their inspiration and create a life they love. In your role, you’ll be challenged to take on work that upholds this mission and pushes Pinterest forward. You’ll grow as a person and leader in your field, all the while helping Pinners make their lives better in the positive corner of the internet.

Creating a life you love also means finding a career that celebrates the unique perspectives and experiences that you bring. As you read through the expectations of the position, consider how your skills and experiences may complement the responsibilities of the role. We encourage you to think through your relevant and transferable skills from prior experiences.

Our new progressive work model is called PinFlex, a term that’s uniquely Pinterest to describe our flexible approach to living and working. Visit our PinFlex landing page to learn more. 

We’re looking for a highly experienced Senior Data Analyst with a strong background in forecasting and workforce analytics to join our new Workforce Management team within the Trust & Safety organization.  This is an individual contributor role that’ll focus on designing, developing, and implementing our digital (non-voice) workload forecasting models, processes, and metrics from the ground up.  These forecasts will inform capacity planning strategies for our front-line content moderation and policy enforcement staff.  The role will also focus on the development of workforce metrics, reporting, and dashboards.  The Senior Data Analyst role is a highly collaborative one, requiring the ability to build strong and productive relationships across a diverse set of cross-functional teams (Operations, Product, Engineering, Vendor Management, Quality, Training, Policy, Strategy & Operations, other data teams etc.).  This position will play a direct role in helping to safeguard our users and platform.  If you enjoy forecasting, building from scratch, high-visibility work, owning end-to-end processes, and driving data-informed strategies, this is a great opportunity to make a lasting impact.

 

What you’ll do:

  • Create and implement dynamic and robust workload forecasting models to project digital (non-voice) contact volume and handle time using descriptive, diagnostic, predictive, and prescriptive analytics 
  • Forecast digital contact workload at the daily, weekly, monthly and quarterly level
  • Create long-term (1-3 year) workload forecasts for digital contact channels to support and facilitate the annual budget process
  • Transform raw, unstructured data into organized and meaningful insights
  • Establish and own end-to-end forecasting processes and methodologies, including re-forecast cadence, forecast variance diagnostics and reporting, stakeholder communications, collecting and integrating inputs from cross-functional teams, anomaly detection and logging, etc.
  • Perform deep correlation analysis on a substantially wide variety of data sources and workload-influencing variables, such as trends in user reports, changes in automated detection models and thresholds, prevalence and impression metrics, geopolitical events, policy enforcement changes, seasonality, etc.  
  • Customize forecasting methodologies based on the unique needs of different operational functions, such as content moderation, partner and advertiser integrity, quality monitoring, legal and compliance workflows, and internal / external escalations
  • Perform historical, same-day, and forward-looking RCA to identify drivers of forecast variance and shifts in workload trends; present findings and solution-oriented recommendations to stakeholders
  • Lead weekly meetings to collect forecast inputs from cross-functional teams, as well as share out forecasting outputs
  • Measure and report forecast accuracy 
  • Build and refine WFM dashboards to communicate Workforce metrics and insights (forecast variance, accuracy, staff delivery, occupancy, etc) to stakeholders, and enable WFM team RCA 
  • Perform sensitivity analysis to support scenario testing
  • Support internal and external audits
  • Drive organizational understanding of forecasting value by presenting forecasting processes and best practices to stakeholders in an easy-to-understand format
  • Continuously calibrate and refine forecasting tools and strategies based on team feedback and evolution of Trust & Safety roadmap and OKRs
  • Perform ad-hoc analysis as needed
  • Mentor and support other members of the WFM team 
  • Other duties as assigned to support WFM program growth and development 

 

What we’re looking for:

  • 8+ years of forecasting workload for digital (non-voice) contact channels (e.g. email, chat, in-app, online forms, etc) or related industry experience
  • Expertise in application of forecasting methodologies in digital contact channels (e.g. time-series, multiple regression, ML, etc.)
  • Experience building digital contact channel forecasting models manually from scratch is required
  • Ability to layer and integrate multiple forecasting methodologies based on evolving business need
  • Advanced fluency in SQL for data extraction, transformation, and analysis of large and complex datasets + either Python or R for predictive modeling and automation
  • Proficient in data visualization and dashboarding with experience using modern BI tools, such as Tableau, Apache Superset, Looker Studio, PowerBI
  • Exceptional critical-thinking skills with ability to balance and adjust qualitative and quantitative approaches to varying tasks, concepts, and analysis  
  • Meticulous work quality and data integrity standards
  • Situational task management skills with ability to change context and pivot quickly toward changing priorities based on evolving business need
  • Ability to adapt and maintain professionalism and composure within a fast-paced, high-pressure environment  
  • Self-starter with demonstrated experience independently leading, driving, and executing large-scale projects and complex deliverables
  • Ability to navigate, extract, manipulate, interpret, and organize imperfect and/or limited data in a startup environment where team, tools, and processes are not fully established
  • A service and solution-oriented mindset able to build credible and trustworthy relationships with cross-functional teams and stakeholders in a predominately remote-work environment
  • Proficiency in Slack functionality with ability to manage intraday requests and communications from a large number of slack channels
  • Bachelors degree in a relevant field, or equivalent experience

 

Relocation Statement: 

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

 

In-Office Requirement Statement:

  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  • This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country.

#LI-REMOTE

#LI-PW1

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only
$120,082$247,228 USD

Our Commitment to Inclusion:

Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
 

Average salary estimate

$183655 / YEARLY (est.)
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$120082K
$247228K

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What You Should Know About Sr. Data Analyst - Workforce Forecasting & Analytics, Pinterest

At Pinterest, we’re on a mission to inspire people around the world, and as a Senior Data Analyst - Workforce Forecasting & Analytics, you'll be at the heart of this vision. Based in San Francisco, CA, or remote across the US, you’ll join our innovative Workforce Management team within the Trust & Safety organization. With a dynamic and entertaining approach to analytics, this role invites you to think creatively while crafting robust models and metrics that enhance our digital workload forecasting capabilities. You’ll utilize your 8+ years of experience in forecasting and workforce analytics to build systems from the ground up, determining how we can best forecast our needs across various digital contact channels. Your work will directly affect our front-line content moderation and policy enforcement strategies. A natural collaborator, you'll forge strong relationships across diverse teams, understanding their needs, and transforming complex, unstructured data into meaningful insights. You should find satisfaction in leading the discussion on forecasting methodologies and extracting actionable insights that drive our organizational strategy. If you thrive in high-stakes environments and have a passion for helping create a safe space for our users, this is a fantastic opportunity to make a significant impact at Pinterest. So, are you ready to roll up your sleeves and jump into a role that truly matters?

Frequently Asked Questions (FAQs) for Sr. Data Analyst - Workforce Forecasting & Analytics Role at Pinterest
What are the key responsibilities of a Senior Data Analyst - Workforce Forecasting & Analytics at Pinterest?

As a Senior Data Analyst - Workforce Forecasting & Analytics at Pinterest, you will be responsible for creating and implementing workload forecasting models, conducting deep correlation analyses, and providing actionable insights to enable effective capacity planning. You’ll work closely with various cross-functional teams to gather inputs and validate outputs, ensuring you can communicate complex data in an accessible manner.

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What qualifications are necessary for the Senior Data Analyst - Workforce Forecasting & Analytics position at Pinterest?

To qualify for the Senior Data Analyst - Workforce Forecasting & Analytics role at Pinterest, candidates should have at least 8 years of relevant experience in forecasting workload for digital contact channels. Additionally, expertise in statistics, SQL, and proficiency in a programming language like Python or R for predictive modeling are crucial for success in this position.

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How does Pinterest's Work Model, PinFlex, impact the Senior Data Analyst - Workforce Forecasting & Analytics role?

The PinFlex work model at Pinterest allows for flexibility, meaning that while the role of Senior Data Analyst - Workforce Forecasting & Analytics may require occasional in-person collaboration, much of the work can be performed remotely. This model ensures team members can work in environments that best support their productivity and creativity.

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What tools does a Senior Data Analyst - Workforce Forecasting & Analytics at Pinterest use?

Senior Data Analysts - Workforce Forecasting & Analytics at Pinterest use a variety of tools for data extraction and analysis, including advanced SQL, Python or R for predictive modeling, and modern BI tools like Tableau or PowerBI for data visualization and reporting. Familiarity with these tools is essential for success in the role.

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What impact does the Senior Data Analyst role have on Pinterest's Trust & Safety organization?

The Senior Data Analyst - Workforce Forecasting & Analytics plays a crucial role in shaping Pinterest's Trust & Safety organization by developing forecasting models that influence the capacity planning for content moderation and policy enforcement staff. This not only helps safeguard users but also ensures that Pinterest’s mission of inspiring creativity is upheld with safe and trustworthy engagement.

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Common Interview Questions for Sr. Data Analyst - Workforce Forecasting & Analytics
Can you describe your experience with workload forecasting for digital contact channels?

In answering this question, detail specific forecasting methodologies you have employed, such as time-series analysis or predictive modeling. Discuss projects where you've successfully built models from scratch and how your insights impacted business decisions.

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What data visualization tools are you proficient in, and how have you used them in your previous roles?

Highlight your experience with tools like Tableau or PowerBI. Provide examples of dashboards you've created and how they helped stakeholders make informed decisions based on data metrics.

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Describe a challenging data analysis project you've completed. What were your steps to overcome obstacles?

Use this opportunity to discuss a specific project. Break down the challenge, your analytical process, how you communicated your findings with stakeholders, and what the final outcome was. Show your problem-solving and analytical thinking skills.

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How do you prioritize tasks when managing multiple forecasting projects simultaneously?

Discuss your approach to managing time and prioritization, considering factors like project deadlines and stakeholder needs. You might mention specific techniques or tools you use for project management to maintain organization.

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How do you ensure the accuracy of your forecasts?

Explain the processes you put in place for validation, such as performing regular variance checks and adjusting models based on feedback or anomalies detected in the data. Make it clear that you value data integrity highly.

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What techniques do you use for effective collaboration with cross-functional teams?

Talk about your communication style and how you adapt to different team dynamics. Mention tools like Slack for daily communication and weekly meetings for collecting inputs, ensuring alignment on forecasting processes.

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Can you provide an example of a time you mentored a less experienced team member?

Share a specific instance where you guided a colleague, explaining what you did to support their understanding and growth. Highlight the importance of knowledge sharing in a collaborative work environment.

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Why are predictive analytics important in a data analyst role like this one at Pinterest?

Discuss how predictive analytics allows organizations to make informed decisions based on historical and implied future trends. Explain how this impacts capacity planning specifically within Pinterest's organizational goals.

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How do you handle changing priorities in a fast-paced environment?

Illustrate your flexibility in adapting to new challenges and shifts in focus by providing examples from previous roles, showcasing your ability to pivot and maintain high-quality work despite change.

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What strategies do you implement to drive organizational understanding of forecasting value?

Talk about how you present complex data simply, training stakeholders on forecasting methodologies and their business relevance. Using visuals and clear data stories empowers others to appreciate the forecasting process.

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Our mission is to bring everyone the inspiration to create a life they love.

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DATE POSTED
March 22, 2025

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