Data Analyst

2 weeks ago

Chicago, United States Epsilon Full time

Job Description

We are looking for a highly motivated, detail-oriented business intelligence analyst with excellent SQL skills and experience working with large datasets. As a Data Analyst, you will be integral in developing the processes and data visualization to provide in-depth analysis and advance reporting for retail media campaigns. A strong candidate will have experience designing and producing data structures optimized for gleaning reporting insights.
Responsibilities and Duties: 

Develop dashboards, reports and insights to increase efficiencies and value for our internal and external clients  Design, build and deploy data models used for business intelligence and advanced analytics reporting (sales lift (test versus control), attribution, modeled, etc.)  Aid in the design and creation of data/reporting systems to answer a diverse set of marketing optimization questions Actively participate in the development of complex data initiatives, including gathering of requirements, technical specifications, and prototyping Ask probing questions to ensure the business problem and the analysis requirement is clearly defined  Provide ongoing support to ensure re-use of developed assets and alignment of new requirements to the defined data architecture and self-service capabilities Create efficiencies through automation or enhancement of existing processes

Qualifications & Skills: 

Excellent communication skills, both verbal and written  Project management  Experience in platforms such as Domo, Tableau, Google Studio or other or other BI and Visualization tools  Proven expertise supporting the eCommerce business and working with very large and complex data  Experience with Retail Media or other Ad Technology Platforms  Understanding the business relationship between advertisers, agencies, publishers and retailers  Understanding of different cloud services, such as Google Cloud Platform or Amazon Web Services  Understanding and experience with ETL, data structures, data modelling and data warehousing  Proven experience in using analytics to obtain insights and drive recommendation to make actions to improve and optimize business process and solve the business problem 

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