Senior Analyst (Customer & Commercial Analytics)

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London / £65000 - £75000 annum

INFO

Salary
SALARY:

£65000 - £75000

Location

LOCATION

London

Job Type
JOB TYPE

Permanent

Senior Analyst - Customer & Commercial Analytics

Location: Hybrid (3 days a week in office - London)
Salary: £65k-£75k + Benefits (negotiable for the right candidate)

Company Overview:
A rapidly growing telecommunications company, recognized for its innovative data-driven strategies and multiple award wins at DataIQ. Backed by a prominent PE firm, they are making big investments in their data and analytics teams to drive future growth. You'll be joining an industry-leading team with a hands-on approach to transforming the telco space through analytics.

Role Overview:
This is an exciting individual contributor role where you will take ownership of key customer & commercial analytics, focusing on customer retention, churn, CLTV, and segmentation. You'll work closely with senior stakeholders (MDs, FD, Commercial Directors, Marketing Directors) and provide actionable insights to guide strategic decisions. This is not your typical BAU role - you'll be delivering deep insights, from customer behavior analysis to evaluating new opportunities like eSIMs and companion devices.

Key Responsibilities:

  • Customer Analytics: Deep dive into churn, retention, loyalty, and CLTV. Understand the customer lifecycle and behavior.

  • Segmentation: Identify and develop marketing strategies based on customer segments (e.g., high-value customers, loyal users).

  • Insights & Recommendations: Provide clear, actionable insights to key business stakeholders, driving decision-making.

  • Commercial Analytics: Analyze product profitability, efficiency of operations, and explore new opportunities.

  • Data Analysis: Work with large, disparate datasets (SQL, Python, R) to generate insights. Strong technical skills required.

Skills & Experience Required:

  • 2-5 years of experience in analytics, ideally within telco, subscriptions, or related industries.

  • Strong SQL skills and experience working with large datasets.

  • Python or R proficiency is preferred.

  • Experience with customer analytics (churn, retention, loyalty, CLTV).

  • Commercial acumen and the ability to provide actionable recommendations.

  • Strong stakeholder management experience and the ability to present findings effectively.

Process:
1st Stage - Quick chat with the hiring manager
2nd Stage - Case study & experience interview
3rd Stage - Sign-off with senior leadership team

If you're a hands-on, commercially-driven analyst with a passion for customer insights and a proactive approach, apply today!

Interested? Drop your CV or DM for more details!







CONTACT

Jordan Victor

Client Consultant

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