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SeniorВ офисеПолная занятость

Sr. Data Operations Associate, Integrations

Оценка ИИ

PitchBook (Morningstar) — престижный работодатель с отличным пакетом льгот, включая акции и обучение. Четко указанная зарплата и понятные обязанности делают вакансию привлекательной, хотя требование работы в офисе 5 дней в неделю может подойти не всем.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует сочетания технических навыков (SQL, Python, API) и операционного управления вендорами. Основная сложность заключается в необходимости координировать работу между юридическими, продуктовыми и инженерными отделами при строгом соблюдении качества данных.

Анализ зарплаты

Медиана85 000 $
Рынок70 000 $ – 105 000 $
Оценка ИИ

Предложенная зарплата в $72,000 находится на нижней границе рыночного диапазона для Senior-позиций в области Data Operations в Сиэтле, где медиана обычно выше. Однако это компенсируется бонусом 7.5% и расширенным пакетом льгот, включая акции компании.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Data Operations Associate – Integrations position at PitchBook. With a solid background in data operations and a proven track record of managing complex third-party data integrations, I am confident in my ability to contribute to the excellence of your Data Operations team. My experience in SQL and Python, combined with a deep understanding of relational databases, aligns perfectly with the technical requirements of this role.

In my previous roles, I have successfully led due diligence processes for data vendors and collaborated closely with engineering teams to ensure seamless data ingestion and quality. I am particularly drawn to PitchBook’s culture of innovation and your commitment to delivering high-quality private market data. I am eager to bring my analytical rigor and operational ownership to help scale your integration frameworks and maintain the high standards your customers expect.

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Присоединяйтесь к команде PitchBook в Сиэтле и станьте ключевым звеном в управлении глобальными данными о рынках!

Описание вакансии

At PitchBook, a Morningstar company, we are always looking forward. We continue to innovate, evolve, and invest in ourselves to bring out the best in everyone. We’re deeply collaborative and thrive on the excitement, energy, and fun that reverberates throughout the company. 

Our extensive learning programs and mentorship opportunities help us create a culture of curiosity that pushes us to always find new solutions and better ways of doing things. The combination of a rapidly evolving industry and our high ambitions means there’s going to be some ambiguity along the way, but we excel when we challenge ourselves. We’re willing to take risks, fail fast, and do it all over again in the pursuit of excellence.

If you have a good attitude and are willing to roll up your sleeves to get things done, PitchBook is the place for you.

About the Role:

PitchBook is seeking a Senior Data Operations Associate – Integrations to join our Data Operations team. This role will focus on executing and scaling high-impact third-party data integrations that power critical internal initiatives and product experiences.

As a senior associate, you will own the operational lifecycle of new data vendor integrations — from due diligence and schema alignment to integration health monitoring and ongoing quality management. You will serve as the primary point of contact for select vendors, partner closely with Product and Engineering stakeholders, and build reporting and monitoring frameworks that ensure integrations meet performance and quality expectations.

This role is ideal for someone who combines strong analytical rigor with operational ownership, enjoys working cross-functionally, and thrives in environments where data quality and excellence are critical.

Team Overview:

The Data Operations team is responsible for the core of what we do as a company: delivering high quality data on the private markets to thousands of discerning customers. This is done through our various data collection processes consisting of web-based data scraping, entering of data from publicly available documents, web researching of hard-to-find information, and direct communication with executives, investors and advisors involved in transactions and fundraising.

Responsibilities:

  • Lead due diligence process for new third-party data vendors, including data assessments, API testing, coverage analysis, and quality evaluation
  • Partner with legal, procurement and leadership to support vendor contracting and onboarding
  • Serve as primary post-contract point of contact for assigned vendors
  • Manage vendor performance through structured reporting, communication, and issue resolution workflows
  • Support sourcing, outreach and evaluation of new vendor opportunities
  • Collaborate with Product and Data Operations stakeholders to align on schema expectations, ingestion methods, scope, and success criteria
  • Own data mapping and scope alignment for new vendor integrations
  • Partner with engineering teams to support ingestion, transformation, and validation process
  • Act as subject matter expert on assigned integrations and vendor datasets
  • Own the identification of data gaps and assess current-state coverage
  • Implement and maintain reporting on integration-level performance metrics such as yield, coverage, completeness, and timeliness
  • Analyze integration outputs to identify performance or methodology gaps and improvement opportunities
  • Investigate data quality or performance issues and partner with Engineering to drive root cause analysis and remediation
  • Drive iterative improvements to integrations based on reporting insights
  • Establish recurring data quality monitoring processes for integrated datasets
  • Design and implement human-in-the-loop quality checks where appropriate
  • Develop scalable workflows that surface data quality issues early and enable rapid remediation
  • Maintain documentation of integration processes, mappings, and quality frameworks

Experience, Skills and Qualifications:

  • Bachelor’s degree in Information Systems, Data Analytics, Computer Science, Finance, or related field
  • 2+ years of relevant experience in data operations, data integration, analytics, or vendor management
  • Strong understanding of relational databases, schema design, and data pipelines
  • Proficiency in SQL and comfort working with large datasets
  • Proficiency in Python working with APIs and structured data formats
  • Experience building/analyzing performance or quality reporting (Tableau, Power BI, or similar tools preferred)
  • Strong analytical and problem-solving skills with high attention to detail
  • Experience collaborating cross-functionally with Product and Engineering teams
  • Excellent written and verbal communication skills
  • Ability to manage multiple workstreams while maintaining high execution quality

Benefits + Compensation at PitchBook:

Physical Health            

  • Comprehensive health benefits
  • Additional medical wellness incentives
  • STD, LTD, AD&D, and life insurance

Emotional Health 

  • Paid sabbatical program after four years
  • Paid family and paternity leave
  • Annual educational stipend
  • Ability to apply for tuition reimbursement
  • CFA exam stipend
  • Robust training programs on industry and soft skills
  • Employee assistance program
  • Generous allotment of vacation days, sick days, and volunteer days

Social Health 

  • Matching gifts program
  • Employee resource groups
  • Subsidized emergency childcare
  • Dependent Care FSA
  • Company-wide events
  • Employee referral bonus program
  • Quarterly team building events

Financial Health 

  • 401k match
  • Shared ownership employee stock program
  • Monthly transportation stipend

\Please be aware the above PitchBook benefit and perk offerings are subject to corresponding plan and policy documents and may change during the course of your employment.*

Compensation

  • This position is non-exempt and paid a salary of $72,000-$72,000
  • Target annual bonus percentage: 7.5%

Working Conditions:

At the heart of our company is a belief in the power of in-person collaboration. Being together in the office fuels our creativity, strengthens our connections, and drives the innovation that sets us apart. Our culture is built on spontaneous moments—those hallway conversations, whiteboard brainstorms, and shared celebrations in each of our global offices—that simply can’t be replicated remotely. This role is expected to be in the office 5 days a week.

The job conditions for this position are in a standard office setting. Employees in this position use PC and phone on an on-going basis throughout the day. Limited corporate travel may be required to remote offices or other business meetings and events.

We are excited to get to know you and your background. Concerned that you might not meet every requirement? We encourage you to still apply as you might be the right candidate for the role or other roles at PitchBook.

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Навыки

  • SQL
  • Python
  • API
  • Tableau
  • Power BI
  • Relational Databases
  • Data Integration
  • Data Analysis
  • Vendor Management

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Опишите ваш опыт тестирования API и оценки качества данных от сторонних поставщиков. На какие метрики вы обращаете внимание в первую очередь?

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Какие сложные SQL-запросы или скрипты на Python вам приходилось писать для сопоставления схем данных (schema mapping) между разными источниками?

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Как вы подходите к управлению производительностью вендора, если он систематически не соблюдает сроки или требования к качеству данных?

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pitchbookdata
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