we are seeking a Customer Success Data Analyst – a data-driven professional who combines advanced analytical and SQL skills with strong customer-facing abilities.
This role is primarily focused on data analysis, validation, and integration, helping customers achieve success through deep understanding of their data and business logic.
You will act as the analytical backbone of the Welcome Team, ensuring smooth onboarding, accurate data integration, and meaningful insights that drive adoption and value.
This is not a traditional Customer Success role – its a technical, data-focused position requiring hands-on SQL work, data modelling, and business logic exploration, combined with the communication and collaboration skills to work directly with customers.
Key Responsibilities:
Act as the primary data expert for customer onboarding, ensuring accurate data understanding and integration.
Partner with customers to understand their business logic and translate it into actionable data mappings within the platform.
Perform deep SQL analysis on raw datasets to validate structures, uncover issues, and ensure data integrity.
Identify gaps, inconsistencies, and edge cases, and proactively propose corrective actions.
Analyse customer usage data to identify trends, adoption challenges, and opportunities for improvement.
Create data-driven reports and visualizations that communicate findings clearly to both technical and business audiences.
Work cross-functionally with R&D, Product, and QA to ensure smooth data onboarding and accurate system behaviours.
Manage multiple onboarding and data-integration projects simultaneously, maintaining clear timelines and communication.
This role is primarily focused on data analysis, validation, and integration, helping customers achieve success through deep understanding of their data and business logic.
You will act as the analytical backbone of the Welcome Team, ensuring smooth onboarding, accurate data integration, and meaningful insights that drive adoption and value.
This is not a traditional Customer Success role – its a technical, data-focused position requiring hands-on SQL work, data modelling, and business logic exploration, combined with the communication and collaboration skills to work directly with customers.
Key Responsibilities:
Act as the primary data expert for customer onboarding, ensuring accurate data understanding and integration.
Partner with customers to understand their business logic and translate it into actionable data mappings within the platform.
Perform deep SQL analysis on raw datasets to validate structures, uncover issues, and ensure data integrity.
Identify gaps, inconsistencies, and edge cases, and proactively propose corrective actions.
Analyse customer usage data to identify trends, adoption challenges, and opportunities for improvement.
Create data-driven reports and visualizations that communicate findings clearly to both technical and business audiences.
Work cross-functionally with R&D, Product, and QA to ensure smooth data onboarding and accurate system behaviours.
Manage multiple onboarding and data-integration projects simultaneously, maintaining clear timelines and communication.
Requirements:
2+ years of experience as a Data Analyst, Business Analyst, or a similar data-driven technical role – MUST
Advanced SQL skills with proven ability to query, validate, and analyze complex datasets – MUST.
Experience in a customer-facing or client delivery role (e.g., onboarding, technical account management, or consulting).
Strong analytical mindset with the ability to reverse-engineer business logic from raw data.
Experience with data modelling, metric design, and BI tools (e.g., Power BI, Looker, Tableau).
Strong communication and presentation skills – able to explain technical insights to both technical and non-technical stakeholders.
Proven ability to manage multiple onboarding projects in a fast-paced environment.
Self-motivated, curious, and adaptable – comfortable working in dynamic, evolving environments.
Passion for helping customers succeed through data-driven insights.
Bonus:
Experience with GenAI, Retrieval-Augmented Generation (RAG), or natural language-to-SQL systems.
Background in SaaS or enterprise data products.
2+ years of experience as a Data Analyst, Business Analyst, or a similar data-driven technical role – MUST
Advanced SQL skills with proven ability to query, validate, and analyze complex datasets – MUST.
Experience in a customer-facing or client delivery role (e.g., onboarding, technical account management, or consulting).
Strong analytical mindset with the ability to reverse-engineer business logic from raw data.
Experience with data modelling, metric design, and BI tools (e.g., Power BI, Looker, Tableau).
Strong communication and presentation skills – able to explain technical insights to both technical and non-technical stakeholders.
Proven ability to manage multiple onboarding projects in a fast-paced environment.
Self-motivated, curious, and adaptable – comfortable working in dynamic, evolving environments.
Passion for helping customers succeed through data-driven insights.
Bonus:
Experience with GenAI, Retrieval-Augmented Generation (RAG), or natural language-to-SQL systems.
Background in SaaS or enterprise data products.
This position is open to all candidates.
