About the job
About Parloa
At Parloa, our mission is to transform customer conversations into seamless experiences for both clients and the organizations that serve them. As we advance in the realm of agentic AI, our dedicated team is pioneering a new era of customer interaction, where support transcends mere transactions, evolving into meaningful dialogues. This aspiration is reflected in our achievements, having facilitated over ONE BILLION interactions between leading global brands and their customers, including renowned companies such as Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI, all leveraging Parloa's capabilities at scale.
About the Role:
As a Senior Data Analyst (Strategy & Analytics), you will be pivotal in guiding Parloa's data-driven initiatives aimed at fostering growth, enhancing operational efficiency, and providing strategic insights. Your role will involve collaboration across Commercial, Operations, Product, and Tech departments to transform data into meaningful insights that influence decision-making throughout the organization.
This is your chance to merge in-depth analytical work with tangible business outcomes, creating scalable data solutions, impacting company-wide strategies, and enabling Parloa to operate with heightened accuracy and speed.
Areas of Ownership:
- End-to-End Analytics: Lead analytics projects from defining problems and building hypotheses to data modeling, generating insights, and communicating findings to executives.
- Performance & KPI Frameworks: Collaborate with cross-functional leaders to establish KPIs, reporting frameworks, and metrics that promote accountability and focus.
- Data Products & Reporting: Design and sustain scalable dashboards and reporting tools that enhance transparency regarding company performance.
- Advanced Analytics & Modeling: Develop forecasting and predictive models to aid in planning, resource allocation, and strategic choices.
- Business Insights & Optimization: Perform in-depth analyses to identify growth potential, operational bottlenecks, and product usage trends.
- Data Foundation & Quality: Work in tandem with data and analytics engineering teams to enhance data models, ensure data integrity, and scale dependable reporting.
Who You Are:
- 5+ years of experience in data analytics, business analytics, or strategy analytics, preferably within a fast-paced tech, consulting, or finance environment.
- Proficient in SQL, with experience in...
