Job Description
We are looking for a Data Analyst and Data Visualization Expert to support the LSE merchandise and inventory management data analytics team.
The ideal candidate is a great storyteller and strong technical contributor who has experience solving business problems with data-driven tools.
About the Role
* Conduct analysis on complex retail data. Measure and track data created by data products, and convert them to key KPI metrics.
* Support business stakeholders and regional data analysts by understanding their needs and providing guidance and support.
* Create dashboards to track adoption and business impact of features and data product launched.
* Dive deep into complex business problems and provide insights. Partner with cross-functional teams on implementation.
* Partner with data science, data analytics, and product managers on planning, goal setting, and prioritization.
* Partner with data and engineering teams to improve data quality, data analysis, and business debugging.
* Bring data to life through storytelling in a clear and meaningful way to audiences with mixed levels of technical expertise and informing key strategic decisions.
* Promote a culture of data-driven technical excellence, ownership, collaboration.
About You
* 3+ years of professional experience analyzing complex data, drawing conclusions, and making recommendations.
* 3+ years of applied data visualization experience. Looker and PowerBI as main visualization tools.
* 3+ years of experience in extracting & manipulating large data sets from various relational databases using SQL (Google BigQuery, MSsql, dbt)
* Experience with data integration tools such as Dataiku or Data Fusion is a plus.
* Coding skills in at least one statistical or programming language (R or Python preferred) to import, summarize, and analyze data.
* Hands-on experience working with big data such as sales, inventory management, planning etc. retail knowledge is a plus.
* Ability to translate and present complex analysis in executive summaries. Clear and effective written and verbal communication and strong interpersonal skills.
* Strong problem-solving skills.
* Bachelor's in economics, Statistics, Data, Data Science, and Engineering (Masters is a plus) or equivalent experience.