Senior Product Analyst - Data Visualization (f/m/d)*

at  Parloa

YOUR MISSION

As a Senior Product Analyst (f/m/d)*, you will develop a customer-facing insights product and empower your stakeholders to work with data effectively. As one of the founding members of the data team, your work will have a pivotal impact on the organization. Together with your team, you will build a data product that empowers our customers to leverage Parloa’s AI products successfully. The insights you generate will make an impact to transform the entire customer service industry leveraging data and AI.

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 250 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 $66 million Series B 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.

• Together with your team, take ownership of designing, building and improving insights products for our customers
• Work with analytics engineers to build and improve data models based on product needs
• Take ownership for executing analytics projects end-to-end: understanding user needs and product context, defining hypotheses and approach, retrieving and processing the data, visualizing the data and let it tell a story
• Work with engineers to define and improve how we track user and customer interactions with our products
  Our Tech stack (Data): Microsoft Azure, Python, Kubernetes, Docker, Terraform, MongoDB, MySQL, Redis (more technologies to be added as we build our data platform)