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Senior Manager, Analytics
full-timeUkraine

Summary

Location

Ukraine

Type

full-time

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About this role

About Us


Pearl is AI for professional services at global scale—combining advanced AI with verified human expertise to deliver help that’s accurate, accountable, and fast. Since 2003, our network has connected millions of customers with licensed professionals across 196 countries, making real expertise available anytime, anywhere.


Our Values



  • Data driven: Data decides, not egos

  • Courageous: We take risks and challenge the status quo

  • Innovative: We're constantly learning, creating, and adapting

  • Lean: We focus on customers, using lean testing to learn how to serve them best

  • Humble: Past success is not a guarantee of future success




 

About the Role


As a Senior Manager, Analytics at Pearl, you’ll be part of a mission-driven team that helps millions of people get expert answers from doctors, lawyers, mechanics, and more—powered by data, experimentation, and AI. Our Analytics team is at the heart of this mission, building insights and frameworks that guide smarter decisions, fuel innovation, and transform how people connect with expertise.


In this role, you’ll lead a team of talented analysts who work across multiple strategic initiatives—from funnel optimization and customer quality to AI-driven experimentation. You’ll shape how we collect, interpret, and act on data across the business, developing both the technical infrastructure and the analytical culture that enables Pearl to move faster and think smarter.


This is a role for someone who loves data and people in equal measure—someone excited to roll up their sleeves with SQL and Python one moment, and coach their team or present insights to executives the next. You’ll bring a balance of strategic vision, hands-on technical skill, and mentorship to help your team—and the company—reach the next level of data maturity.


What You’ll Do



  • Lead & Grow a High-Impact Team: Manage and develop a team of analysts (approx. 6), helping them level up their skills, expand their impact, and grow in their careers.

  • Be a Strategic Partner: Collaborate with leaders across the business to shape experiments, define success metrics, and translate data into action.

  • Stay Hands-On: Dive deep into data when needed — writing SQL queries, Python scripts, and building Power BI dashboards. Lead by example and set the standard for analytical excellence.

  • Champion AI & Innovation: Leverage AI tools and APIs (e.g., ChatGPT, Gemini) to automate insights, explore unstructured data, and modernize the way we do analytics.

  • Share the Story: Lead analytics reviews and present findings to cross-functional and executive audiences — turning data into clear, compelling narratives.

  • Collaborate Cross-Functionally: Work closely with Data and Engineering teams to ensure data accuracy, experimentation design, and analytics scalability.


What We’re Looking For



  • 5–10 years of experience in analytics, data science, or a related field (We’re open to exceptional candidates with slightly less experience who demonstrate strong leadership and deep AI/experimentation expertise.)

  • Strong technical skills: SQL, Python, and data visualization tools (Power BI preferred)

  • Proven experience designing and analyzing experiments (A/B testing, Bayesian, or multi-armed bandit approaches)

  • Experience working with APIs and modern AI tools

  • Demonstrated success as a people leader — coaching, mentoring, and developing analysts

  • Excellent communication and storytelling skills — able to explain complex data clearly to any audience

  • A growth mindset and a passion for applying AI in analytics


What to Expect in Your First 90 Days



  • First 30 days: Learn our data, tools, and people. Understand how analytics drives our initiatives.

  • By 60 days: Shape team development plans, clarify goals, and start leading key deliverables.

  • By 90 days: Deliver your first analytics business review and showcase insights to leadership.


Why You’ll Love It Here


At Pearl, you’ll work with billions of real user interactions — an unparalleled data set for experimentation and insight. You’ll collaborate with a team that’s pushing analytics beyond traditional dashboards and A/B tests, pioneering new methods like multi-armed bandits and Bayesian experimentation.


We’re transforming analytics with AI — and we’re doing it at scale. If you want to lead a team where curiosity, innovation, and data drive everything we do, this is the job for you.



Our Commitment to an Inclusive Workplace


We welcome people from all backgrounds who seek the opportunity to help build a future where professional services are readily available to all. If you have curiosity, passion, and a collaborative spirit, come work with us. Pearl is committed to an inclusive workplace. Pearl is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status.


AI Disclosure & Informed Consent


Artificial intelligence (AI) technology may be used during the hiring process to record, transcribe, analyze, and rank interview responses. By submitting your application and participating in the interview process, you acknowledge and consent to the use of AI technology in the hiring process. For more information see our AI Disclosure and Consent Policy.
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Other facts

Tech stack
SQL,Python,Data Visualization,A/B Testing,Bayesian,Multi-Armed Bandit,APIs,AI Tools,Coaching,Mentoring,Communication,Storytelling,Data Analysis,Experimentation,Leadership,Innovation

About Pearl

Welcome to Pearl Talent – your global talent solutions partner. At Pearl, we specialize in bridging the gap between top international talent and Western companies. Our approach revolves around a white-glove service model, ensuring a seamless and exceptional experience for both our valued clients and talented candidates.

Team size: 11-50 employees
LinkedIn: Visit
Industry: Staffing and Recruiting
Founding Year: 2020

What you'll do

  • Lead and develop a team of analysts while collaborating with business leaders to shape experiments and define success metrics. Stay hands-on with data analysis and present findings to cross-functional and executive audiences.

Ready to join Pearl?

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Frequently Asked Questions

What does a Senior Manager, Analytics do at Pearl?

As a Senior Manager, Analytics at Pearl, you will: lead and develop a team of analysts while collaborating with business leaders to shape experiments and define success metrics. Stay hands-on with data analysis and present findings to cross-functional and executive audiences..

Why join Pearl as a Senior Manager, Analytics?

Pearl is a leading Staffing and Recruiting company.

Is the Senior Manager, Analytics position at Pearl remote?

The Senior Manager, Analytics position at Pearl is based in Ukraine. Contact the company through Clera for specific work arrangement details.

How do I apply for the Senior Manager, Analytics position at Pearl?

You can apply for the Senior Manager, Analytics position at Pearl directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process. You can also learn more about Pearl on their website.