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Your Responsibilities:Facilitate Key Team Interactions: Ensure effective communication and alignment of workflows among Customer Care, Sales, and BI teams. Address Technical Challenges: Coordinate troubleshooting for Twisto Pay, utilizing SQL to identify affected merchants and error details. Analyze and Report on Performance: Prepare daily reports and comprehensive statistics regarding departmental performance. Optimize and Automate Processes: Continuously review existing processes and SQL queries to enhance their accuracy and efficiency. Manage Operational Load Planning: Provide recommendations for team capacity planning based on your analyses and forecasts. Documentation Oversight: Responsible for the creation and updating of manuals defining our collaboration with e-commerce partners and payment service providers. Customer Care Representation: Serve as the primary contact for merchants and external partners regarding operational matters and problem resolution.
About the job
Join Twisto, a member of the Param group, a leading provider of financial services in Central and Eastern Europe. Our innovative application empowers users to control their payments—enabling them to defer or split purchases, share expenses, pay bills, and shop with both virtual and physical cards. We prioritize transparency, convenience, and fair rates both locally and internationally. As a company that continually grows and innovates, we strive to expand our service offerings to simplify everyday life for our customers.
If you're passionate about e-commerce, data-driven insights excite you, and you thrive on improving operational efficiencies, we invite you to become a key player in our Customer Care team at Twisto. Your primary responsibility will be to ensure our e-commerce platforms and payment processes operate seamlessly while leveraging data to propose meaningful enhancements.
About Twisto
Twisto is a modern financial services provider that is dedicated to enhancing the payment experience for users across Central and Eastern Europe. With our innovative approach, we aim to simplify financial transactions, providing customers with the tools they need to manage their finances effectively.
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About Emplifi Emplifi offers a unified customer engagement platform used by more than 20,000 brands worldwide. The company focuses on helping clients improve digital and social customer experiences through integrated solutions in social media marketing, social commerce, and customer care. Advanced analytics and AI play a key role in supporting growth, customer satisfaction, and brand loyalty. Meet the Reporting and Analytics Team This team brings together business analysts, data analysts, engineers, Salesforce specialists, and developers who manage Emplifi’s SaaS tools. The group values productivity, creativity, and open communication, with a strong emphasis on personal and professional growth. Agile methodologies guide their work, which covers a wide range of challenges: anomaly detection, product configuration, retention forecasting, and analyzing large-scale market trends. The technology stack includes Python, SQL, Tableau, Apache Spark, AWS S3, and PostgreSQL. The team also manages Salesforce for marketing and sales. Technical quality matters, but so does connecting technical solutions to real business needs. Role Overview: Data Analyst Data at Emplifi is more than numbers. Insights from data shape decisions across the company. The Data Analyst role calls for someone who is naturally curious, works well independently, and feels responsible for outcomes. This person digs into the reasons behind the data, delivers results that matter, and helps turn information into action. Key responsibilities include: Spotting trends in social media data to support global reporting Delivering actionable insights to inform business and product strategies Supporting client success with prompt, accurate data exports Enabling Sales and helping develop the pipeline Mastering tools such as Python, Databricks, PySpark, S3, and Airflow Working with large datasets in a growing Data Lake The team works within an Agile (SCRUM) process that encourages experimentation and ongoing learning. Location This position is based in the Czech Republic, with options to work from Prague, Pilsen, or Brno.
Apr 15, 2026
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