Data Analyst (Live Chat Channel Analytics)
Hochtaunuskreis - Germany
Job Summary
Location: Remote
Minimum Experience Level: 3 to 5 years
We are seeking a Data Analyst for the Live Chat channel to generate actionable insights from customer
interactions and operational data.
This role combines hands-on data analysis technical implementation and business insight generation.
You will work with large-scale data in Databricks (SQL / Python) build Tableau dashboards and translate
data into recommendations that influence product and channel decisions.
Embedded in a cross-functional product team and analytics squad you will help understand customer
behavior identify improvement opportunities and support data-driven decisions across the channel. The
role sits at the intersection of analytics customer experience and digital product development.
We are looking for a candidate who is both technically strong and business-oriented able to work directly
with data while linking insights to channel strategy and commercial outcomes.
Requirements:
35 years of experience in Data Analytics preferably in digital or customer-facing environments
Strong hands-on expertise in SQL Python Databricks
Proven experience building dashboards in Tableau
Ability to work with large complex datasets across multiple sources
Strong analytical thinking with the ability to translate data into actionable insights
Solid understanding of product analytics and customer journeys
Strong communication skills across technical and non-technical stakeholders
Hands-on proactive mindset with ownership of end-to-end analytical tasks
Preferred
Key Responsibilities:
Analyze live chat performance using SQL and/or Python (Databricks) across structured metrics and
conversational datasets
Identify trends customer pain points and behavioral patterns and translate them into actionable
insights
Write advanced queries and data transformations to process large-scale multi-source datasets
Perform data preparation exploratory analysis and reporting automation
Design build and maintain Tableau dashboards to track live chat KPIs and enable self-serve insights
Integrate conversational operational and customer data to create a holistic view of channel
performance
Ensure data quality consistency and alignment of KPIs across datasets and teams
Communicate findings effectively to stakeholders translating analysis into clear business narratives
and recommendations
Support OKR tracking by aligning metrics with product and business goals
Collaborate closely with product teams data engineers and data scientists within the analytics squad
to drive data-informed decisions and improvements