Data Analyst - Digital Marketing

Data Analyst - Digital Marketing

This job is no longer open

As the Data Analyst in Digital Marketing, you will work closely with our in-house digital marketing and growth teams to define priority KPIs and analyze the performance of marketing channels and campaigns. The Data Analyst is responsible for supporting Digital Marketing (Paid Search, Search Engine Optimization, Display Advertising, Paid Social Media Advertising, third-party Marketplaces and Affiliate Marketing) teams by translating data into reporting, statistical analysis, strategic insights and creating automated data-driven, scalable solutions that enhance performance across Digital Marketing Channels. Simultaneously, work across Web Analytics, Data Science and IT technical teams to improve solution development, data mining, data collection, data management and data quality.

As a Data Analyst at Lands' End, it is essential that you know how to take an idea and analyze it from all angles. When you work with large amounts of data, it only makes sense that you're extremely detail-oriented, ensuring that campaigns will run smoothly and efficiently. Naturally, a puzzle-solver like yourself is always eager to learn how and why things work the way they do. At Lands' End, we highly encourage that creative, forward-thinking mentality. A good Analyst takes data sets and evaluates the next best move; but a great Analyst understands the human element of marketing from the perspective of a customer. Our ideal candidate is driven by understanding customer purchase behavior, website user behavior, ad tech platforms and is passionate about contributing to the development of data driven digital marketing strategies, which are informed by data and focused on outcomes. In this role, you’ll dive deep into the performance of digital paid marketing, SEO, online video, paid social media, product marketing, competitor intelligence and content engagement. You’ll surface insights to improve customer acquisition for Lands' End. Working with the digital marketing team, you’ll roll out testing framework, data collection, reporting and data insights analysis and be a stakeholder for Lands' End martech stack. Collaborating with Lands' End’s Web Analytics team, you’ll work on user segmentation, incrementality analysis and attribution.

Data Analysts help map KPIs and goals to data in our system to drive deeper business understanding and help in achieving our business goals. Typical responsibilities include optimizing our databases and queries, finding new insights for our overall marketing strategy and recommendations and assisting other teams with their data needs.

‘Responsibilities

  • Create meaningful reports and clear, interesting data visualizations using Presto, MySQL and BI tools
  • Develop a deep understanding of the LevelUp architecture, its related database tables and the interactions between them
  • Consult with our Technical Brand Management team on best practices in discovering and presenting system data
  • Liaise with internal teams to understand product changes and how they impact associated reports and visualizations
  • Automate frequent reporting requests to maximize efficiency
  • Create new efficiencies in processes and reporting implementation
  • Leverage Big Data technologies to analyze large volumes of data to identify trends and find actionable insights
  • Programmatically automate data delivery processes
  • Utilizing the Elastic Stack, Build and maintain dashboards indicating various KPIs
  • Conduct competitive intelligence analysis
  • Connect systems via APIs
  • Develop computer programs that collect and manipulate data between systems
  • Perform ad hoc statistical analysis
  • Responsible for Digital Marketing Channel data set imports to Data Cloud
  • Responsible for 3rd Party Digital Advertising Platform data set imports to Data Cloud
  • Responsible for Competitive Intelligence Services data set imports to Data Cloud
  • Perform channel analysis for traffic and revenue forecasting
  • Conduct keyword performance analysis from search channels
  • Develop Audience Targeting recommendations
  • Optimize Data Collection Processes
  • Determine what data needs to be collected for future analysis for each channel
  • Design and maintain automated data processes
  • Develop models for predictive data analysis using Tensorflow and other Machine Learning tools

Qualifications

  • Bachelor’s degree in computer science, information technology, statistics, or other analytic discipline. Master’s Degree is a plus.
  • 1-3 years in analytics role or related field
  • Strong competence in analyzing data and turning it into a communicable value proposition
  • Must be skilled in the following programming languages:  Python, R, PySpark, Java
  • Must be skilled in the following software packages:  Tableau, Power BI, Elastic Server, SSIS
  • Must be skilled in the following databases:  Netezza, Microsoft SQL Server, MongoDB
  • Must be skilled in the following cloud technologies:  Amazon Web Services, Google Cloud Platform 

#LandsEnd Careers

This job is no longer open
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