Data Science Analyst

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Macy’s is proudly America’s Department Store. For more than 160 years, Macy’s has served generations at every stage of their lives. Customers come to us for fashion, value and celebration.

Macy’s Media Network launched in 2020 with a mission to connect brands to consumers through data-driven marketing solutions. With more than 40M active customers annually, more than 500 stores, and one of the largest e-commerce platforms in the US, Macy’s is uniquely positioned to become a premier destination for fashion brands seeking to reach relevant audiences with personalized content. Join our world-class team of experienced sales and marketing professionals that are shaping this new chapter at Macy’s!

Essential Functions:

• Analyze and report on performance of promotional events based on marketing tactics, event offer, customer behavior, competitive landscape, etc.
• Determine optimal offers for coupons, free shipping thresholds, deals and promotions.
• Lead the application of insights to influence marketing strategies that drive measurable growth in online and store sales across strategic marketing initiatives such as Backstage, Loyalty program, etc.
• Standardize and automate ongoing reporting for promotions and events to enhance real time decision making capabilities.
• Drive development of new reports and enhancements to existing reports in Tableau. Continually work to automate existing manual reporting processes through Tableau.
• Identify business trends and shifts, and recommend data-driven responses and recommendations to the Marketing organization.
• Utilize Macy’s analytics toolset (IBM Digital Analytics, Hadoop, Tableau, etc.) to analyze and report on business results.
• Consistently demonstrates regular, dependable attendance and punctuality. 

Qualifications:

Education/Experience:

• BA/BS Degree in a quantitative field (Mathematics, Statistics, Business, Economics or other quantitative field preferred).
• 2+ years of experience using data to develop business insights and recommendations.
• Experience analyzing performance of marketing programs.
• Experience writing complex SQL queries.
• Familiarity with one or more of the following analytics tools: Tableau, SAS, R, IBM Digital Analytics, Google Analytics, Adobe Analytics.
• Proficient in Microsoft Word, Excel and PowerPoint.
• Strong written, verbal communication and presentation skills.
• Excellent interpersonal skills with ability to build relationships and effectively collaborate with partners across all levels of the company.
• Ability to build relationships and effectively manage internal customers.
• Demonstrated analytical and quantitative skills – skilled at analyzing and deriving meaningful insights out of complex data and translating that into actionable strategies.
• Must be able to work independently with minimal supervision.
• Time management skills and ability to handle multiple projects with competing priorities.
• Strong Organizational skills and attention to detail.
• Strong leadership profile and excellent negotiation skills.
• Ability to work a flexible schedule based on department and company needs.