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
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Write advanced queries and data transformations to process large-scale, multi-source datasets
-
Perform data preparation, exploratory analysis, and reporting automation
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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
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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
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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
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