Insights And Analytics Manager

Role Overview

We are looking for an experienced Insights Manager to partner with business stakeholders, understand commercial challenges and translate data into meaningful insights and business recommendations.

The role requires strong hands-on analytical skills, commercial understanding and the ability to present insights to senior stakeholders.

Key skills:

Business Analytics, Retail Analytics, Commercial Analytics, Customer Analytics, Loyalty Analytics, Advanced SQL, Python, Databricks, Customer Segmentation, CLTV, Churn Analysis, Market Basket Analysis, Pricing Analytics, Promotion Effectiveness, CRM Analytics, Sales Analytics, Stakeholder Management, Business Partnering, Data Storytelling, PowerPoint.

Key Responsibilities

- Partner with business teams to understand requirements and identify business opportunities.

- Analyse customer, sales, loyalty, product and marketing data.

- Drive customer segmentation, CLTV, retention, churn and market basket analysis.

- Evaluate pricing, promotions, discounts and campaign effectiveness.

- Use SQL, Python and Databricks for data analysis and insights generation.

- Translate complex data into actionable business recommendations.

- Prepare and present insights to senior stakeholders.

- Mentor analysts and collaborate with cross-functional teams.

- Identify opportunities for automation and AI-enabled analytics.

Required Skills

- Advanced SQL, Python and Databricks.

- Retail / Consumer / Commercial Analytics.

- Customer and Loyalty Analytics.

- Pricing and Promotion Analytics.

- Customer Segmentation, CLTV and Churn Analysis.

- Strong stakeholder management and communication skills.

- Excellent presentation and storytelling abilities.

Experience & Qualification

- 8+ years of relevant analytics experience.

- Bachelor's degree in Analytics, Statistics, Mathematics, Economics, Engineering or a related field.

- Retail, Consumer, CRM, Loyalty or Marketing Analytics experience preferred.

- Hands-on experience in SQL, Python and Databricks is essential.