Marketing Analytics Analyst

Role Overview

The Marketing Analytics Analyst will be part of the Enterprise Marketing Analytics team, gaining hands-on experience by working on various projects across diverse marketing channels. The analyst will develop a well-rounded skill set and valuable insights from each channel.

What You Will Do

The rotational analyst will support the formulation of hypotheses, translation of data, design/measurement of experiments and generation of insights to inform business decisions by using various data mining techniques. The analyst will perform basic diagnostic analyses, identify trends and outliers, and provide input into basic business or analytical challenges faced by the team.

Why It Might Be a Fit

The ideal candidate will have a strong understanding of data literacy, including data wrangling, descriptive statistics, and ability to consume, query, explore, and evaluate big data. The candidate will also have advanced Microsoft Office Suite skills, knowledge of Python, SAS, and SQL, and experience with model building and maintenance.

Requirements

• Must obtain a four-year degree or graduate level degree by May 2027 in statistics, mathematics, economics, financial engineering, data sciences, business analytics or other quantitative disciplines.
• Data Literacy
• Understanding of: Data wrangling including information documentation and importing data from different formats
• Descriptive statistics, random variables, common distributions, outliers
• Ability to consume, query, explore, and evaluate big data; can leverage this skill to inform business questions
• Technology & Techniques
• Advanced Microsoft Office Suite
• Navigation, shortcuts, use and share spreadsheet documents
• Python//SAS/SQL:
• Perform IDE walk-through; shortcuts
• Connect to databases
• Use functions such as classes, variables, lists, and classes
• Program files, modules, and libraries
• Model Building & Maintenance
• Familiar with concepts and usage of Data Leakage, Training, Testing, and Validation Sets for model building
• Able to perform basic diagnostics testing
• Understanding of:
• Foundational statistical / measurement concepts, methods, and techniques
• Basic uses, scope, features, benefits, and risks of available modeling methods

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• 401(k) or other retirement plan
• Paid time off
• Sign-on bonus
• Flexible work arrangements

Tagged as: Excel, Python, SQL