Senior Data Analyst

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.

About the Role:

RD Holdings, the parent company of RetailData, is seeking a Senior Data Analyst to help drive a very exciting product and growth program within our newly formed technology services venture. In response to growing demand from our clients to provide solutions to identify and react to near real time actionable insights we are expanding our services in data and analytics solutions.

This is an experienced analyst role, 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.

What You’ll Do:

• Identify, analyze, interpret, and provide conclusions of metrics, trends, and/or patterns of complex data systems to support business strategy.
• Organize findings from analysis and translate all figures into an understandable document for business usage.
• Perform ad hoc analysis and research using database queries, data manipulation, and geospatial evaluation to support project plans, enhancements, and/or improvements.
• Engage with internal and external stakeholders to translate business problem statements into an analytic gameplay that they can execute.
• Have an intellectual curiosity to want to understand and explain questions and observations in the data.

What You’ll Need:

• Bachelor’s degree plus 3+ years of Data Analytics experience or a Masters’ degree in an analytics centric field and 2+ years of experience.
• At least 2 years of experience in Python and/or other data scripting languages.
• At least 2 years of experience utilizing a business intelligence visualization tool (Tableau, Power BI, etc.).
• At least 3 years of experience in querying and analyzing and working with data languages and platforms (SQL).

Benefits:

• Opportunity to work remotely, on a hybrid schedule.
• A competitive base salary plus annual bonus eligibility.
• An international and diverse work environment.
• Opportunity to begin making immediate contributions to the organization.