Analyze transactional, demographic, and online data to uncover customer trends, build segments, measure marketing campaigns, and identify personalization opportunities. Develop experimentation and measurement strategies, analyze digital customer journeys, and translate complex findings into actionable recommendations for marketing, commercial, and personalization stakeholders. Query and manipulate large datasets using SQL and Python while managing multiple analytical projects and deadlines.
We are looking for a Senior Data Analyst to join our growing eCommerce Data team! Based from NEXT Head Office in Enderby, Leicestershire!
The Role:
As a Senior Data Analyst focusing on Marketing Sciences, you will play a critical role in bridging the gap between data and commercial strategy. You will work within DataBricks and Google Cloud Platform, partnering closely with the marketing, personalisation and commercial teams.
In this role, it will be your responsibility to deliver data driven insights and robust measurement strategies to optimize our marketing efforts, product recommendations, and overall customer experience. We are looking for someone with a strong analytical background in customer behaviour and experimentation, paired with great communication skills to present actionable findings to various stakeholders.
What You’ll Take On:
- Work with teams from around the business to understand commercial opportunities and gather requirements for analytical projects.
- Interrogate large volumes of data from a range of sources - including transactional, demographic and online - to uncover trends and build detailed customer profiles.
- Develop customer segmentations and deliver actionable insights to improve marketing effectiveness and target audiences.
- Present campaign performance, analytical findings, and strategic recommendations to a range of non-technical audiences.
- Proactively identify data-driven opportunities for personalisation and improvements to the customer journey.
What You’ll Bring:
- You must have a background in marketing analytics, customer segmentation, campaign measurement, or similar.
- You will have experience analysing digital customer journeys, marketing effectiveness, personalisation strategies, or similar.
- You will have strong data querying and manipulation skills using SQL and Python.
- Previous experience working within an eCommerce or digital marketing environment would be highly beneficial.
- Have excellent communication skills, with a proven ability to translate complex data into clear commercial stories for various audiences.
- You will have good time management skills with the ability to manage multiple deadlines and priorities.
- Strong knowledge of A/B testing analysis and experimental design is highly desirable.
- Knowledge of Databricks and BigQuery would be advantageous.
- 25% off most NEXT, MADE*, Lipsy*, Gap* and Victoria's Secret* products (*when purchased through NEXT)
- Company performance based bonus
- Sharesave scheme
- On-site Nursery available; OFSTED outstanding in all areas
- 10% off most partner brands & up to 15% off Branded Beauty
- Early VIP access to sale stock
- Access to fantastic discounts at our Staff Shops
- Restaurants with great food at amazing prices
- Access a digital GP and other free health and wellbeing services
- Free on-site parking
- Financial Wellbeing - Save, track and enhance your financial wellbeing
- Apprenticeship - Grow and develop on the job whilst gaining a qualification
- Direct to Work - Discount online and instore, collect your items the next day for free from your place of work or local store
- Support Networks - Access to Network Groups to empower and celebrate each other
- Wellhub - Discounted flexible monthly gym memberships, with apps, PT sessions and more
Conditions apply to all benefits. These benefits are discretionary and subject to change.
We aim to support all candidates during the application process and are happy to provide workplace adjustments when necessary. Should you need support with your application due to a disability or long-term condition, feel free to get in touch with us by email [email protected] (please include 'Workplace Adjustments' in the subject line), or call us on 0116 284 2486 and leave a voicemail.
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