Analytics Manager - Customer Insight

Analytics Manager - Customer Insight ????
National Retailer ?????

** Opportunity for Senior Analysts to step into first management role **

Salary: £65k - £75k plus bonus & bens
Location: 100% REMOTE OR hybrid 1-2 days in office (Hampshire)

Join this much-loved British Retailer as they embark on a journey of digital and data transformation.

Further to the appointment of an industry legend in customer marketing and loyalty, there follows the scaling of multiple teams across Data Science, Analytics, CRM and Digital.

With this in mind, we're hiring for an Analytics Manager to specialise in Customer Insight, leading on deep dive, exploratory customer insights projects, to identify trends in large swathes of customer and digital data, in order to answer questions from senior stakeholders around customer behaviour, engagement, customer health and churn.

You will need to be hands-on, leading an initial team of 2 Analysts, employing a variety of statistical analytics techniques including segmentation, clustering, predictive analytics and modelling in order to help predict customer buying behaviour and contribute to future plans for the retail business. generate actionable insights.

Current and future projects include:

• Market Places, understanding the opportunity here from their existing and prospective customer base
• Loyalty and Engagement
• Small Formats - the business will be launching a small formats model, which will require geospatial analysis as well as using current customer insights to determine product ranges, promotions and marketing

This is a rare opportunity for a Senior or Lead Analyst looking to take their first step into formal management. You will receive support from your Head of Data Science & Analytics in becoming in becoming a fully-fledged manager, but some mentoring or management experience is strongly preferred.

Technically they operate a Snowflake and DataBricks environment, leveraging SQL to extract data and R and Python for modelling and statistical analysis, building code and tools. They also have PowerBI for data visualization, but any similar tool will be considered.

Experience required:

• Educated to a degree level in a numerate subject: Mathematics, Machine Learning, Computer Science, Statistics, Chemistry, Physics, Engineering etc.
• A strong background in customer insight analytics is essential, including modelling skills, to optimise customer journeys and improve customer retention and loyalty
• Demonstrates creativity in problem-solving and keen to bring new ideas to the room
• Ability to work with data from multiple sources, including digital, to provide robust solutions and insights
• Advanced analytics skills in SQL, coupled with Python or R essential
• Passionate about embedding data at the heart of decision-making, driving insights-led thinking for customer and marketing purposes
• Strong skills in stakeholder management and a desire to work in a business-facing capacity