Data Analyst

Location: Glen Allen, VA, USA

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Job ID: 24682

Standard Hours: 40

Compensation Range: Commensurate with Experience

RetailData partners with the largest retailers in the world to provide competitive intelligence solutions. With consumers dynamically shifting their purchasing patterns between the various in-store and e-commerce sales channels, we are perpetually innovating new solutions and products to meet client needs. Our industry-leading expertise in price, assortment and promotional data sets, in conjunction with our expansive technology and analytics platforms, has positioned us perfectly to help retailers navigate these unprecedented retail changes.

Description:

About the Role: 

RetailData, is seeking a Data Analyst to help drive a very exciting product and growth program within our technology services. In response to growing demand from our clients to provide solutions to identify and react to near real time actionable insights, as well as use data to tell meaningful stories about the industry, we are expanding our services in data and analytics solutions. 

We’re seeking an analyst to be responsible for applying cutting edge analytic approaches to drive insight from our data and to package that insight to be consumed by our clients or internal stakeholders. You will be responsible for creating data driven stories, conclusions, and presentations from a variety of data sources and present concise summaries. Your major focus will be on connecting large and diverse data sources to uncover new approaches to solve critical business problems in an efficient and innovative way.  

What You’ll Do: 

  • Answer client questions by identifying and retrieving relevant data, designing analysis, and compiling findings into consumable format. 
  • Design processes and programs to enable system actions or recommendations based on a data driven analytical approach. 
  • Organize findings from analysis and translate all figures into an understandable story and document for business usage. 
  • Responsible for analytical aspects of product development and client consulting engagements. 
  • Perform ad hoc analysis and research using database queries, data manipulation, and geospatial evaluation to support project plans, enhancements, and/or improvements. 
  • Utilizing analytic expertise and curiosity, understand and explain questions and observations in the data. 
  • Identify, analyze, interpret, and provide conclusions of metrics, trends, and/or patterns of complex data systems to support business strategy. 
  • Perform quality checks on new and existing solutions to ensure calculations and approach is valid. 

What You’ll Need: 

  • Bachelor’s degree in an analytics or engineering centric field plus 1-3 years of Data Analytics experience. 
  • Excellent planning, organizational, communication, and time management skills. 
  • Experience in Python and/or other data scripting languages preferred. 
  • Experience utilizing a business intelligence visualization tool (Cognos, Tableau, Power BI, etc.). 
  • Experience in querying and analyzing and working with data languages and platforms to investigate large and diverse data sets. 
  • Demonstrated ability to learn and apply newly emerging data analytic toolkits depending on the problem statement. 
  • Possess analytical strength and curiosity to understand and explain questions and observations in data. 
  • Excitement for the opportunity to own analytical solutions to business problems. 

Benefits: 

  • Opportunity to work on a hybrid schedule – Tue/Wed/Thu onsite in our corporate headquarters office. 
  • A competitive base salary plus annual bonus eligibility. 
  • An international and diverse work environment. 
  • Opportunity to begin making immediate contributions to the organization. 

Equal Employment Opportunity Statement: RetailData is committed to a policy of nondiscrimination and equal opportunity for all employees and qualified applicants without regard to race, color, religious creed, national origin, sex, age, disability, marital status, or sexual orientation

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