Analytics Manager - Strategic Analytics

Domestic and General Group Limited

$110K — $130K *
Business Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in customer analytics or related fields
  • Advanced proficiency in SQL and Python or R
  • Strong capabilities in Power BI or data visualization
  • Experience in building KPI frameworks and performance models
  • Excellent stakeholder management and influencing skills
  • Ability to translate complex data analyses into actionable insights
  • Familiarity with customer operations or contact center environments

Responsibilities

  • Establish the performance framework to define customer success metrics
  • Develop a comprehensive source for customer metrics and business performance insights
  • Analyze key drivers of customer outcomes and provide commercial recommendations
  • Influence strategic decisions through insights and robust support
  • Collaborate with cross-functional leaders to enhance customer journeys
  • Lead analytical initiatives that yield measurable business impacts
  • Create KPI dashboards that promote accountability across teams
  • Support AI and automation projects with analytical opportunities

Benefits

  • Hybrid/remote working options available
  • Opportunity for substantial influence across the organization
  • Engagement with various departments to drive measurable improvements
  • Develop a culture of data-driven decision-making within customer operations
Full Job Description
Analytics Manager - Customer Strategic Analytics

Location: US Based flexible on location - Hybrid/Remote Options Available

Contract Type: Permanent

We're hiring an Analytics Manager for our US Growth & Strategic Analytics team! In the role you'll shape how customer performance is measured, understood and improved throughout the entire customer journey.

Working closely with Revenue, Customer Excellence, Operations, Technology and Data Science leaders, you'll turn customer data into strategic action that improves both customer and commercial outcomes.

This is a senior individual contributor role with significant influence across the business. You'll create the performance framework that helps leaders prioritise investment, remove friction and focus on the initiatives that deliver the greatest value.

Success means establishing a trusted view of customer performance, influencing decision-making at a senior level and delivering measurable improvements in retention, satisfaction and operational effectiveness.

Key Responsibilities:

  • Build the performance framework that defines and measures customer success across the US business.
  • Create a single source of truth for customer metrics, reporting and business performance insight.
  • Identify the key drivers of customer outcomes and convert analysis into clear commercial recommendations.
  • Influence strategic priorities through evidence-based insight and robust decision support.
  • Partner with operational, technology and customer experience leaders to improve customer journeys.
  • Lead high-value analytical initiatives that deliver measurable customer and business impact.
  • Develop meaningful KPI dashboards and performance views that drive accountability.
  • Support AI and automation initiatives by identifying opportunities to improve customer and operational outcomes.
  • Challenge assumptions, uncover root causes and help leaders focus on what matters most.
  • Embed a culture of data-driven decision making across customer operations.


What You'll Bring
  • Experience in customer analytics, commercial analytics, BI or decision science.
  • Advanced SQL and Python or R capability.
  • Strong Power BI or data visualisation expertise.
  • Experience building KPI frameworks, performance models or executive reporting.
  • Excellent stakeholder management and influencing skills.
  • Ability to translate complex data into clear business actions.
  • Strong commercial awareness and problem-solving capability.
  • Experience within customer operations, contact centres or customer experience environments


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