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  • Eschborn

  • 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.

    Tasks

    Requirements:

    • 3–5 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

    Requirements

    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

    Application form

    Apply for the job by filling the job application form with your details

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