Data Analyst

3 weeks ago


Leeds, United Kingdom Focus 5 Recruitment Full time

Job Title: E-commerce Data Analyst

Location: Leeds, Office Based

About The Company

Focus 5 Recruitment are working with a leading e-commerce brand specializing in ecom products. With a strong online presence and a commitment to innovation, they provide high-quality solutions to customers worldwide.

Role Overview

They are seeking a talented E-commerce Data Analyst to join their team in Leeds. The successful candidate will be responsible for analysing website traffic, customer behaviour, and sales data to provide insights and recommendations that drive business growth. This is an exciting opportunity to play a key role in optimizing our e-commerce operations and enhancing the overall customer experience.

Key Responsibilities

  • Collect, analyze, and interpret data from various sources, including website analytics, CRM systems, and sales reports.
  • Monitor key performance indicators (KPIs) related to website traffic, customer engagement, conversion rates, and sales performance.
  • Identify trends, patterns, and anomalies in data to uncover actionable insights and opportunities for optimization.
  • Develop and maintain dashboards, reports, and visualizations to communicate findings and recommendations to key stakeholders.
  • Collaborate with cross-functional teams, including marketing, product development, and customer service, to align data analysis efforts with business objectives.
  • Conduct A/B testing and experiments to evaluate the impact of changes and enhancements to the e-commerce platform.
  • Stay abreast of industry trends, best practices, and emerging technologies in e-commerce analytics and data science.

Requirements

  • Proven experience as a Data Analyst, preferably in an e-commerce or digital marketing environment.
  • Strong analytical skills and proficiency in data analysis tools and techniques, such as SQL, Excel, Google Analytics, and Tableau.
  • Experience with e-commerce platforms and understanding of online sales funnels, customer segmentation, and digital marketing channels.
  • Ability to translate complex data into actionable insights and recommendations for non-technical stakeholders.
  • Excellent communication and presentation skills, with the ability to convey technical concepts to a non-technical audience.
  • Detail-oriented with a passion for problem-solving and continuous improvement.
  • Bachelor's degree in Data Science, Statistics, Economics, Mathematics, or a related field is preferred.

If this sounds like something you or someone you know might be interested in then please get in touch ASAP. #J-18808-Ljbffr
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