Senior Customer Insights Analyst
Olaf Street, London, United Kingdom
Stella McCartney
Working at Stella McCartney is a truly rewarding experience. As a luxury fashion company with a strong ethical standpoint we are leaders and innovators in our industry.
Overview
Reporting to the Senior Global CRM Manager, Senior Customer Insights Analyst supports the wider Retail, E-Commerce & Marketing teams to deliver accurate reporting and actionable insights across many areas of the business, analysing sales, behaviour, customer and performance marketing data. This role requires a self-starter with a can-do attitude to setting up processes, drive a test and learn culture and someone who can be an ambassador of data and insight driven decision making within the team. The role will involve turning data from multiple sources into valuable insights, enabling key stakeholders to make informed, data-led decisions.
Your Mission:
Create compelling and effective dashboards and reports that help track performance and support decision-making.
Collaborate with various teams by providing insights and analysis on customer data, optimising target audience and value proposition to maximise customer value retention and campaign ROI. Play a pivotal role in shaping the future of data in the business
Support conversion optimisation efforts through ideation and testing strategies borne from actionable insights.
Identify ways to improve analytical procedures to improve agility and efficiency through the automation of reports.
Provide accurate sales and product reporting on a regular basis, with narratives on trend.
Provide analytics support to ongoing projects.
Deliver results and analysis to a broad audience.
Drive a test and learn culture, being an ambassador of data and insight driven decision making. This involves designing hypotheses and tests to allow for measurable results, delivering forecasts, measuring the outcome and relaying recommendations to relevant stakeholders.
Your Talent:
Degree in Maths, Computer Science, Statistics or a related field.
Experience with analysing large data sets, identifying insights, trends and opportunities in a retail company.
A natural problem solver with the ability to dissect complex business problems and find innovative ways to deliver a solution.
A strong communicator, simplifying complex data into compelling and insightful stories.
Experience presenting insights and recommendations in a structured and clear way using data storytelling and visualisation tools.
Team player who is proactive, thorough, detail-oriented and organised
Able to effectively manage and influence stakeholders from across the business
Strong analysis and SQL abilities using Big Query or similar, with the ability to program using Python, R or similar.
Strong experience using digital analytics tools such as Google Analytics.
Experience with Power BI or other relative visualisation tool.
Proficiency with Excel and PowerPoint.
Reward
Our philosophy is to go beyond monetary return and consider ourselves responsible for your wellbeing, your family, your health, your time and the community.
Up to 50% discount on Stella McCartney products
Matched pension contribution up to 6%
Extensive private medical and critical illness insurance, as well as life assurance
Annual Health Screening
Annual Leave Shop where employees can buy or sell annual leave
Flexible working/core hours
Enhanced Maternity/paternity packages
Matched Give as You Earn charity scheme
Fitness membership (Classpass credits)
Volunteer and Birthday leave
Health cash plan
Financial wellbeing program
Physical and Mental Wellbeing Support Services
Employee referral bonus
Optional/ Paid Benefits
Season ticket loan, cycle to work and tech schemes, travel and dental insurance and much more.
We welcome people with disabilities and endeavour to make reasonable adjustments, if you do require such adjustments please let us know within 48 hours of your interview.
At Stella McCartney, we like to be bold. For us this means challenging ourselves and the wider industry in which we operate. As part of our commitments to inclusive fashion, we have an ambitious strategy to put diversity, equity and inclusion at the centre of everything we do. Our starting point is to create a workplace where different voices are respected, heard and empowered in equal measure regardless of factors such as culture and backgrounds, and to influence and disrupt fashion and other industries by providing opportunities for global diverse talent to shine.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: BigQuery Computer Science E-commerce Excel Power BI Python R SQL Statistics Testing
Perks/benefits: Flex hours Health care Medical leave Parental leave Salary bonus
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