Data Analyst - Marketing Analytics & Dashboards

Omnicom Precision Marketing; Salt Lake City (UT); On-site; USD 66,000 - 75,000; Full time

Job summary

Omnicom Precision Marketing’s MRM unit seeks a Data Analyst to support client recommendations with in-depth analysis and performance measurement.

The ideal candidate will have a statistics/Data Science background, familiarity with Python, SQL, GA, GTM, and data visualization tools, plus strong communication and independent work capabilities. Office-based in a fast-paced, cross-functional team.

Qualifications

• Bachelor’s degree in Statistics, Data Science, Analytics, Mathematics or similar with 0-3 years’ professional experience.
• Basic knowledge of Python & data/plotting libraries, with an interest in developing programming skills.
• Basic SQL capabilities: joining tables, using group by, case statements.
• Basic understanding of statistical concepts such as hypothesis testing and confidence intervals.
• Knowledge or experience with Google Tag Manager or Google Analytics.
• Familiar with data visualization fundamentals and at least one tool (Tableau/PowerBI/Looker Studio/Plot.ly/Seaborn).
• Basic to intermediate Excel skills: Pivot tables.

Responsibilities

• Handle routine reporting and presenting (bi-weekly and quarterly).
• Manage ad-hoc analytics questions & requests promptly.
• Assist in website analytics initiatives and tag implementation in Google Tag Manager.
• Create custom analytics dashboards in Tableau, PowerBI or similar tools.
• Assist in report automation and support campaign performance analysis.

Skills

Python basics

SQL basics

Data visualization

Statistical concepts

Google Analytics / Tag Manager

Excel Pivot tables

Education

Bachelor's degree in Statistics/Analytics/Mathematics or similar

Tools

Python

SQL

Tableau

PowerBI

Looker Studio

Plotting libraries (Seaborn, matplotlib)

Google Tag Manager

Google Analytics

Excel

Job description

Omnicom Precision Marketing’s MRM unit seeks a Data Analyst to support client recommendations with in-depth analysis and performance measurement.

The ideal candidate will have a statistics/Data Science background, familiarity with Python, SQL, GA, GTM, and data visualization tools, plus strong communication and independent work capabilities. Office-based in a fast-paced, cross-functional team.