Data Scientist - Marketing

This role is remote, US.

Expectations

• 3+ years of experience in an analytical role
• 3+ years of SQL (Teradata) development experience
• Prior work on business projects & reporting
  
• Experience with:
  • Cloud infrastructure platforms (Google Cloud Platform, AWS)
    
  • Enterprise reporting suites & data visualization tools (MicroStrategy, Adobe, Google Analytics)
• Familiarity with programming languages such as R &/or Python
• Must be a US Citizen, GreenCard Holder, H4/L2 EAR, or H1/TN transfer
• Must be a US resident

Additional Technical & Professional Expertise

• Bachelors/Undergraduate Degree in a related field
• Communication skills, including the ability to identify & communicate data-driven insights
  
• Retail experience preferred
• Excellent verbal communication skills for all audiences, both technical & non-technical
• Ability to create visualizations, summaries, & present complex analytical techniques, data, & recommendations in simple business speak
• Experience with Big Data environments
• Exposure to data lakes, NoSQL, & unstructured data
• Experience working with capturing reporting on current & historical data
  
• Prior work with Transformations, Complex reports, Report Services Documents (Dashboards), & Rolling Metrics
• Experience working with underlying databases & tables. Understands table relationships to be able to do dimensional modeling; understands lookup tables & fact tables.
• Advanced analytical & problem-solving skills & an ability to work independently in a fast-paced, rapidly changing environment
• High degree of analytical curiosity, including the ability to identify & proactively solve problems
• Entrepreneurial spirit, self-motivated, strong sense of ownership/accountability, & results-oriented with the ability to manage time & schedules effectively

Job Description

As a Data Scientist, you will be responsible for supporting the business by developing integrated data solutions, analyzing data, data visualizations, customer & marketing datasets, interpreting results, & developing actionable insights & recommendations for use across the company. This position will develop, test, & implement statistically sound customer models & other deep-dive analytical projects that directly grow both the top & bottom lines for DSW. The role will synthesize business data into powerful models & insights to drive decisions that propel the business forward.

In addition, you will be responsible for data mining & testing against hypotheses that impact Key Performance Indicators. Ideal candidates enjoy working in demanding & fast-paced environments & are proactive, goal-oriented, & team players.

Your Role & Responsibilities

• Integrate & aggregate complex data from multiple data sources & platforms that enhance business access to information & facilitate a data-driven culture
• Develop dashboards & reports to help analyze the performances of various marketing programs
• Create & automate reports/tools to quickly identify changes in trends/key metrics, elevate issues, & identify areas for improvement
• Analyze overall customer data trends to create & communicate actionable insights that help drive decision making
• Produce ad-hoc queries that develop reports to support business needs
• Turn business questions into functional analysis & identify business opportunities, support the development of machine learning models & other statistics-based analytics
• Translate business decisions into financial impact in terms of sales, margin, expense, & customer KPIs
• Collaborates directly with key business partners & leaders to solve business problems or knowledge gaps & identify analytical opportunities to drive innovative decision making
• Understands the broader Marketing & Retail landscapes to proactively identify analytical opportunities to impact the business

Company Information

We are one of the biggest retail brands in the North America region. Our customers love shopping in our stores, concept stores, & via the website. We are focused on the fashion industry but make sure we stay sustainable and give back to the community.