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Your Analytic Talents Plus Our Data Playground Equals Relevant. Real Time. Results.

Analytics Consulting - Retail

Woodbridge, New Jersey

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Overview

A rich digital and data playground where you can apply your analytics talents—that’s what you can expect to find on the Data Science and Analytics team at Catalina. Here, you will proactively generate impactful, sustainable technology solutions to gain deep insights into purchasing behavior. As part of a dynamic team, you will be challenged and supported as you drive insights that can’t be found anywhere else.

  • Full Time
  • Travel: Occasional

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Success Profile

What makes a successful Data Science and Analytics employee at Catalina?
Review the top traits we’re looking for and see if you’re the right fit.

  • Analytical 10
  • Results-driven 9
  • Digitally Savvy 9
  • Communicator 8
  • Critical Thinker 8
  • Strategic 7
Traits are on a scale of 0 to 10

Additional Traits

  • Insightful
  • Logical
  • Organized
  • Persuasive
  • Practical
  • Proactive
  • Problem-solver
  • Curious

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Benefits

  • Health Insurance

  • Retirement Plan

  • Continuing Education

  • Family Support

  • Flexible Time Off

  • Healthy Work/ Life Balance

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Quote

Catalina is such a great place to leverage data science. Our shopper data is vast and granular, and our clients face an increasingly competitive landscape. The opportunities to help are endless.

Wes Chaar, PhD, Chief Data and Analytics Officer

Job Description

Analytics Consulting - Retail

Job Number R0001806 Posted On 07/19/2021 Location Woodbridge, New Jersey

Our Team

The Retail Analytics team is responsible for providing analyses, insights and recommendations that address the business needs of the Catalina retail sales team or the retail client, in support of internal strategic projects and external retailers.  These analyses, insights and recommendations—whether based on standard reports or custom analyses—should serve as the basis for discussions with the retail sales team and client, provide actionable insights and recommendations that address client strategies, initiatives, and objectives. 

The position reports to the Executive Director of Retail Analytics(Innovation/Development/Production). 

Responsibilities

  • Meet the Innovation/Development/Production team and retail analytics department needs by …

  • Providing innovative analytical planning to track new trends in the market place or new insights to support business strategies

  • Providing analytical and technical support to the initiation, development and delivery of retail-centric campaign solutions, enable strategic activation leveraging Catalina Media Platform and integrate analytics thought leadership into packaging and commercialization of marketable Catalina solutions 

  • Build statistical modeling and segmentation solutions, which will lead to improved shopper marketing strategy and campaign performances

  • Apply strong programing and data engineering skills to implement machine learning algorithm in production to accelerate new capabilities

  • Collaborate with cross-function team, internal analytics team, and external clients to build end-to-end solutions/presentations

  • Performing ad hoc custom analyses to support proof of concept of development of major retail product solutions

  • Present analytical plan, solution development roadmap, and recommendations— to internal analytics and business stakeholders —in a clear and compelling manner 

  • Work with the Retail Analytics Innovation/Development/Production team lead to build relationships with key cross-functional stakeholders from Retail Analytics Account Team, Catalina Data & Analytics and corporate retail solutions

Qualifications

Basics Requirements

  • Bachelor’s Degree in Statistics, Computer Science, Economics, Marketing Research or other quantitative oriented fields (Decision Sciences, etc.) required

  • Extensive experience with SQL required

  • Proficient/Advanced coding with opensource tools such as Python/R required

  • Proficient in Microsoft Office software

  • Strong command on quantitative methods and statistical applications

  • Ability to rapidly develop sufficient familiarity with proprietary data systems and IT infrastructure to extract data needed to support quantitative research projects 

  • Good communication and presentation skills

Additional Preferred Skills

  • Master’s Degree in Statistics, Computer Science, Economics, Marketing Research or other quantitative oriented fields (Decision Sciences, etc.) preferred

  • Working experience with digital analytics a plus

  • Modeling and segmentation experience a plus

  • Experience in a CPG, retail or data-driven environment helpful

  • Experience with Cloud computing and usage a plus

About Catalina

Catalina is a recognized leader in highly targeted, personalized digital media that drives, tracks and measures sales lift for leading CPG retailers and brands. Powered by the most extensive shopper database in the world, Catalina's mobile, online and in-store networks personalize the consumer's path to purchase, delivering $7.9 billion in relevant consumer value each year. Catalina has no higher priority than ensuring the privacy and security of the data entrusted to us and maintaining the consumer trust paramount to the continued success of our business partners and Catalina. Based in St. Petersburg, FL, Catalina has operations in the United States, Europe and Japan. To learn more, please visit www.catalina.com or follow us on Twitter @Catalina.

Diversity, Inclusion + Belongingness

Catalina is committed to investing in, empowering, and retaining a more inclusive community within our company.   We are dedicated to hiring and cultivating diverse teams of the best and brightest from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has a seat at the table and a voice to be heard.  Our goal is to ensure that all our talented professionals are equipped with support, resources, and the opportunity to excel.

The intent of this job description is to describe the major duties and responsibilities performed by incumbents of this job. Incumbents may be required to perform other job-related tasks other than those specifically included in this description.

All duties and responsibilities are essential job functions and requirements and are subjected to possible modification to reasonably accommodate individuals with disabilities.

We are proud to be an EEO employer M/F/D/V. We maintain a drug-free workplace.

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  • Facts:
  • end-to-end omni-channel solution
  • 650M shopper IDs Globally
  • 80,000 category specific brand insights
  • 35+ year high performing ROI

Optimize on Overdrive with Catalina

Catalina helps Retailers deliver campaigns with speed. Kick your optimization into overdrive - explore our open ecosystem of solutions at Catalina.com/Nerds.

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Catalina provides data insights on 436 million buyer IDs to help clients spot trends, increase market share and drive sales. Become the nerd our customers need on their side. Learn how we help retailers and brands drive results at Catalina.com/Nerds.

Date Night

At Catalina, we create love between people and products to unlock buyer insights, drive sales and boost bottom lines. Our customers love having a Catalina Nerd on their side. Learn how we help retailers and brands drive results at Catalina.com/Nerds.

The Birds and the Bees

At Catalina, we make it easy for clients to understand buyer behavior and connect with every market segment. Become a Catalina Nerd that our customers trust. Learn more about what we do at Catalina.com/Nerds.

The Catalina Difference

We understand that behind every purchase, there is a shopper. And behind every data point is a person. That’s how we deliver personalized value to each shopper at every touchpoint in their journey.

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