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Senior Data Analyst
Сильная позиция в перспективной сфере AI с поддержкой ведущих инвесторов. Четкие зоны ответственности и возможность влиять на стратегию компании делают вакансию очень привлекательной для опытных аналитиков.
Сложность вакансии
Роль требует высокого уровня ответственности, владения SQL и статистическими методами, а также опыта работы с финансовыми данными (FP&A). Процесс отбора включает технический вызов по SQL и несколько этапов интервью, включая 'Bar Raiser'.
Анализ зарплаты
Зарплата в объявлении не указана, но для позиции Senior Data Analyst в Берлине рыночный диапазон составляет от 70,000 до 95,000 евро в год в зависимости от опыта и навыков. Parloa, будучи стартапом с серьезным финансированием, вероятно, предлагает конкурентоспособный пакет.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Data Analyst position at Parloa. With over five years of experience in data analytics and a proven track record of transforming complex datasets into actionable business strategies, I am excited about the opportunity to contribute to a company that is at the forefront of agentic AI and conversational technology.
In my previous roles, I have specialized in building scalable data products and performance frameworks that bridge the gap between technical data modeling and executive decision-making. I am particularly drawn to Parloa’s mission of making customer conversations effortless and am eager to apply my expertise in SQL, Python, and financial data structures to help optimize your commercial and operational metrics.
I am impressed by Parloa’s growth and the caliber of its global partners. I am confident that my hypothesis-driven mindset and experience in high-growth tech environments will allow me to make a meaningful impact on your Strategy & Analytics team from day one.
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Описание вакансии
About Parloa
Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience — one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.
About the role:
As a Data Analyst (Strategy & Analytics), you will play a central role in shaping how Parloa uses data to drive growth, efficiency, and strategic clarity. You’ll work across Commercial, Operations, Product, and Tech to turn data into actionable insights that inform decision-making at every level of the company.
This is your opportunity to combine deep analytical work with real business impact—building scalable data products, influencing company-wide strategy, and helping Parloa operate with greater precision and speed.
Areas of ownership:
- End-to-End Analytics: Own analytics projects from problem definition and hypothesis building to data modeling, insight generation, and executive communication.
- Performance & KPI Frameworks: Partner with cross-functional leaders to define KPIs, reporting structures, and metrics that drive accountability and focus.
- Data Products & Reporting: Design and maintain scalable dashboards and reporting solutions that provide clear visibility into company performance.
- Advanced Analytics & Modeling: Build forecasting and predictive models to support planning, resource allocation, and strategic decision-making.
- Business Insights & Optimization: Conduct deep-dive analyses to uncover growth opportunities, operational inefficiencies, and product usage patterns.
- Data Foundation & Quality: Collaborate with data and analytics engineering teams to improve data models, ensure data quality, and scale reliable reporting.
Who you are:
- 5+ years of experience in data analytics, business analytics, or strategy analytics, ideally in a high-growth tech, consulting, or finance environment
- Strong SQL skills; experience in Python or R for advanced analytics is a plus
- Solid understanding of statistical methods and machine learning techniques (e.g. regression, classification, forecasting)
- Experience building dashboards and reporting frameworks using tools like Tableau, Looker, or similar
- Strong understanding of financial data structures and FP&A processes, as well as commercial and operational metrics
- Experience supporting FP&A workflows (e.g., budgeting, forecasting, revenue and KPI tracking) by transforming financial data into well-structured reporting layers aligned with accounting logic and business needs.
- Proven ability to design metrics and translate business questions into structured analytical approaches
- Confidence in communicating insights to senior stakeholders, including executives
- Structured, hypothesis-driven mindset with a pragmatic and hands-on approach
Our Recruiting Process:
Talent Acquisition → SQL Challenge → Hiring Manager → Technical Interview(s) → Bar Raiser
Why Parloa?
We’re at the beginning of a new era in customer experience, one where AI doesn’t just respond, but understands, reasons, and takes action. We’re building agentic AI that enterprises trust with their most important customer moments: complex questions, high volumes, real stakes. When millions of people reach out to a brand, those interactions aren’t just support tickets; they’re defining experiences. We’re here to raise the standard: making every conversation seamless, intelligent, and genuinely helpful. If you care about shaping how businesses and customers connect at scale—and want your work to matter in real, everyday moments—this is where you do it.
At Parloa, ownership isn’t a buzzword; it means being accountable for outcomes, not just tasks. We operate in a category that’s evolving fast, where the bar is high, and the problems are complex. We hire people who think in solutions, communicate with clarity, and follow through. People who are comfortable making decisions, taking responsibility, and raising the standard for themselves and those around them.
We’ve grown beyond the earliest startup phase, but we’ve kept the intensity: fast execution, direct feedback, and a strong expectation to contribute meaningfully from day one.
Backed by leading global investors like General Catalyst, EQT Ventures, and Altimeter Capital, we’re scaling with a clear ambition: to become the global category leader in enterprise-grade conversational AI.
Do you have questions about Parloa, the role, or our team before you apply? Please feel free to get in touch with our Hiring Team.
Parloa is committed to upholding the highest data protection standards for our clients' and employees' data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.
Parloa is an e-verify employer in the USA. Please click here to learn more.
\ We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.*
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Навыки
- SQL
- Python
- R
- Tableau
- Looker
- Data Modeling
- Statistical Analysis
- Machine Learning
- FP&A
- KPI Frameworks
- Forecasting
Возможные вопросы на собеседовании
Вакансия подразумевает работу с финансовыми структурами и бюджетированием.
Расскажите о вашем опыте поддержки процессов FP&A: как вы трансформировали финансовые данные в отчетность, понятную для бизнеса?
Проверка технических навыков, указанных в требованиях.
Опишите случай, когда вы использовали Python или R для решения задачи, которую невозможно было решить только с помощью SQL.
Вакансия требует умения влиять на стратегию компании.
Как вы подходите к определению KPI для нового бизнес-направления или продукта? Приведите пример из практики.
Оценка способности работать с неопределенностью в быстрорастущем стартапе.
Как вы приоритизируете задачи, когда поступает несколько срочных запросов от разных отделов (Product, Tech, Operations)?
Проверка навыков коммуникации с руководством.
Опишите ситуацию, когда ваши аналитические выводы противоречили мнению топ-менеджмента. Как вы доносили свою позицию?
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