Job Description

YOUR MISSION:

As a Senior Data Analyst on our Business Operations team, you’ll be at the heart of how we use data to drive growth, efficiency, and clarity across our commercial organization. You will partner with Sales, Marketing, Customer Success, and Product teams to transform raw data into insights that shape strategy and execution. Your work will help us understand performance, design smarter processes, and accelerate how our go-to-market teams operate.

This is a unique opportunity to combine the technical depth of a data analyst with the strategic impact of a business operator. You’ll bring analytical rigor to some of our biggest questions, and build data products and frameworks that scale with the company.

IN THIS ROLE YOU WILL:

• Take ownership of end-to-end analytics projects in GTM domain: from defining the problem, to pulling and modeling data, to visualizing insights, to telling the story.


• Partner with GTM leaders to design dashboards, KPIs, and reporting frameworks that drive accountability and decision-making.


• Run exploratory analyses to uncover growth opportunities, efficiency gaps, and trends across revenue streams and customer segments.


• Build and deploy predictive models such as customer lifetime value (LTV), churn risk, and upsell propensity to guide commercial strategy.


• Conduct time-series forecasting for metrics like product usage, revenue, and pipeline performance to support planning and target-setting.


• Work with analytics engineers to improve and scale our data models, ensuring high-quality, reliable sources for business-critical reporting.


• Define and maintain data tracking requirements across commercial tools (CRM, marketing automation, product analytics).


• Collaborate cross-functionally to turn strategic goals into measurable outcomes and provide clarity on performance against targets.

WHAT YOU BRING TO THE TABLE:

• 5+ years of experience in data analytics or product analytics, with 3+ years focused on the GTM domain (Sales, Marketing, Customer Success) at a high-growth tech company or in consulting/finance with strong analytical and commercial exposure.


• Strong proficiency in SQL (comfort with Python or R for deeper analysis is a plus)


• Experience applying statistical and machine learning techniques (e.g., regression, classification, survival analysis, time-series forecasting) to real-world business problems.


• Experience with data visualization tools (Looker, Tableau, or similar, open source tools like Superset is a plus).


• Proven ability to design metrics, build dashboards, and tell compelling stories with data.


• Experience working with sales and marketing data (CRM systems like Salesforce, marketing automation tools, customer success platforms).


• A strong mix of technical skills and business acumen you can both dig into a dataset and explain what it means for the business.


• Excellent communication skills you can simplify complexity and influence stakeholders across all levels.


• Comfort working in fast-moving, ambiguous environments, with a proactive and collaborative mindset.

WHAT'S IN IT FOR YOU?

• Join a diverse team of 40+ nationalities with flat hierarchies and a collaborative company culture, and enjoy an immersive onboarding experience in Berlin to dive into our product and culture.


• Opportunity to build and scale your career at the intersection of customer-facing roles and engineering in a dynamic startup on its journey to become an international leader in SaaS platforms for Conversational AI.


• A beautiful office with flair in the heart of NYC with all the conveniences, such as social area, snacks, and drinks.


• Competitive compensation and equity package.


• Flexible working hours, unlimited PTO, and travel opportunities.


• Access to a training and development budget for continuous professional growth.


• ClassPass membership, Nilo Health, Health insurance, weekly sponsored office lunches.


• Regular team events, game nights, and other social activities.


• Hybrid work environment - we believe in hiring the best talent, no matter where they are based. However, we love to build real connections and want to welcome everyone in the office on certain days

Your recruiting process at Parloa:

Recruiter video call → Meet your manager → Quick SQL Test & Technical Interviews → Bar Raiser Interview

Salary Range

$140,000—$165,000 USD

Why Parloa? 

Parloa is one of the fastest growing startups in the world of Generative AI and customer service. Parloa’s voice-first GenAI platform for contact centers is built on the best AI technology to automate customer service with natural-sounding conversations for outstanding experiences on all communication channels. Leveraging natural language processing (NLP) and machine learning, Parloa creates intelligent phone and chat solutions for businesses that turn contact centers into value centers by boosting customer service efficiency. The Parloa platform resolves the majority of customer queries quickly and automatically, allowing human agents to focus on complex issues and relationships. Parloa was founded in 2018 by Malte Kosub and Stefan Ostwald and today employs over 400+ people in Berlin, Munich, and New York.

When you join Parloa, you become part of a dynamic and innovative team made up of over 34 nationalities that’s revolutionizing an entire industry. We’re passionate about growing together and creating opportunities for personal and professional development. With our recent $120 million Series C investment, we’re expanding globally and looking for talented individuals to join us on this exciting journey.

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.

* 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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