Senior Data Analyst, Customer Success

TN United Kingdom; London; Hybrid; GBP 50,000 - 90,000; Full time

Job summary

An established industry player is seeking a Senior Data Analyst to enhance customer success through data-driven insights. In this pivotal role, you will collaborate with global teams to develop analytical tools, dashboards, and metrics that drive strategic decision-making. Your expertise in SQL and Looker will be crucial as you create customer segmentation models and refine churn-risk metrics. This company values diversity and offers competitive pay, stock options, and flexible remote work options, making it an exciting opportunity for those passionate about data and customer success.

Benefits

Stock Options

Flexible Remote Work

WeWork Access

Competitive Pay

Benefits

Qualifications

• 5+ years in an analytical role, preferably in B2B SaaS.
• Strong communication skills to tell compelling data stories.

Responsibilities

• Collaborate with data engineers to develop analytical tools and dashboards.
• Manage data enrichment processes for Customer Success teams.

Skills

SQL

Data Storytelling

Data Modeling

Looker

Analytical Skills

Education

Bachelor’s degree in Math, Economics, CS

Tools

Looker

dbt

GitHub

GitLab

Job description

Job Description: Senior Data Analyst, Customer Success, London

Company Overview:

Deel is a global company dedicated to helping businesses hire anyone, anywhere, easily. With over 3,000 team members across 100+ countries, we focus on building a diverse and innovative platform that connects companies with top talent worldwide.

About the Role:

As a Senior Data Analyst in Customer Success, you will work closely with leadership and teams globally to enhance customer engagement, reduce churn, and increase profitability. You will develop data models, dashboards, and metrics to support strategic decisions.

Responsibilities:

• Collaborate with data engineers and analysts to develop analytical tools and dashboards in Looker.
• Partner with senior Customer Success stakeholders to drive data-driven decisions.
• Manage data enrichment processes to provide insights for CS teams.
• Define, ensure quality, and monitor key metrics like NRR and Churn.
• Develop customer success performance and productivity metrics.
• Create customer segmentation and time-based models using dbt.
• Work with data science teams to refine churn-risk and sentiment models.
• Build and maintain reporting frameworks for various audiences.

Requirements:

• Bachelor’s degree in Math, Economics, CS, or related STEM field.
• Minimum 5 years in an analytical role, preferably in B2B SaaS.
• Strong communication skills with the ability to tell compelling data stories.
• Proficiency in SQL and Looker (or similar tools).
• Experience in data modeling and metrics design.

Preferred Skills:

• Experience with dbt and LookML.
• Knowledge of customer data platforms like Gainsight or Vitally.
• Familiarity with version control tools such as GitHub or GitLab.
• Background in customer analytics within fast-growing SaaS companies.

Total Rewards:

We offer competitive pay, benefits, stock options, and flexible remote work options, including WeWork access where available. We are committed to diversity and inclusion and welcome all qualified candidates to apply.