Data Analyst-Operations & CX

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Data Analyst-Operations & CX based in Germany.

This role offers the opportunity to become a key driver of operational excellence through data-driven insights and strategic analysis.

You will transform complex datasets into actionable recommendations that improve customer experience and business performance.

Working across Operations, Customer Experience, and Quality teams, you will build reporting solutions that guide global decision-making.

The position combines advanced analytics, dashboard development, process optimization, and stakeholder collaboration.

You will play a critical role in identifying improvement opportunities, measuring impact, and shaping scalable operational strategies.

This is an ideal opportunity for an analytical professional who enjoys solving business challenges through data and innovation in a fast-growing environment.

• Accountabilities
• Design, build, and maintain scalable dashboards and reporting solutions using Looker and Big Query to provide reliable insights into operational performance and customer health.
• Analyze key business metrics such as customer satisfaction, NPS, contact rates, agent performance, and operational efficiency indicators to uncover trends and improvement opportunities.
• Conduct deep-dive analyses to identify root causes behind performance changes and translate findings into actionable business recommendations.
• Build data-driven business cases by quantifying potential impact, ROI, and operational improvements to support strategic decision-making.
• Develop automation solutions, scripts, and analytical tools that streamline workflows, improve efficiency, and increase team productivity.
• Partner with Data Engineering teams to maintain data quality, improve governance, and establish consistent definitions for key metrics across departments.
• Transform complex technical analysis into clear narratives and presentations that enable non-technical stakeholders to make informed decisions.
• Support Operations, Customer Experience, and Quality teams by providing insights that improve customer outcomes and business processes.

Requirements

• 3+ years of experience in Data Analytics, ideally supporting Operations, Customer Experience, Quality, or high-growth technology environments.
• Advanced SQL skills with the ability to independently write complex and optimized queries, particularly in Google Big Query.
• Proven experience creating advanced, user-friendly dashboards and data models using Looker, with Look ML knowledge considered a strong advantage.
• Strong analytical mindset with experience turning data into strategic recommendations and influencing operational or product decisions.
• Experience building business cases, measuring impact, and using analytics to support prioritization of high-value initiatives.
• Excellent communication skills with the ability to explain complex data insights clearly to global, non-technical stakeholders.
• Comfortable working in remote, fast-paced environments with cross-functional teams.
• Preferred experience with Python or R for statistical analysis, automation, or predictive modeling.
• Previous experience in travel technology, telecommunications, customer support platforms, or similar industries is a plus.
• Familiarity with Zendesk, Intercom, or customer support data structures is beneficial.

Benefits

• Fully remote-first work environment with flexible schedules designed to support work-life balance.
• Opportunity to directly influence customer experience and operational strategy within a fast-growing global organization.
• High-impact role where analytics and recommendations contribute to improving services used by millions of customers.
• Continuous learning and professional development opportunities in a data-driven and innovative environment.
• Opportunity to collaborate with international teams across multiple functions and regions.
• Flexible contractor-based working model with responsibility for managing local tax obligations where applicable.

How Jobgether works

We use an

AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.

Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company.

The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

Why Apply Through Jobgether?

Data Privacy Notice

By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer.

This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR).

You may exercise your rights (access, rectification, erasure, objection) at any time.

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We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information.

These tools assist our recruitment team but do not replace human judgment.

Final hiring decisions are ultimately made by humans.

If you would like more information about how your data is processed, please contact us.