Data Analyst
Omnicom Precision Marketing
Salt Lake City, UT0–3 yrs1h agovia LinkedIn
About the Role
MRM is a modern relationship marketing agency focused on building enduring brand relationships through CRM, Customer Experience, and Commerce, with data and martech at the core. This role is within the Omnicom Precision Marketing activation practice.
Key Responsibilities
- Handle routine reporting and presenting (primarily bi-weekly and eventually, quarterly reports).
- Manage ad-hoc analytics questions & requests in a timely fashion.
- Assist in website analytics initiatives, including website tag implementation in Google Tag Manager and running custom analytics reports using Google Analytics and Big Query.
- Create custom analytics dashboards in Tableau, PowerBI, or similar tools.
- Assist in report automation.
- Assist in campaign planning and performance analysis.
Requirements & Tech Stack
- Bachelor’s degree preferably in Statistics, Data Science, Analytics, Mathematics, or similar.
- Basic knowledge of Python & data and plotting libraries.
- Basic SQL capabilities: joining tables, using ‘group by’ clauses, case statements.
- Basic understanding of statistical concepts such as hypothesis testing, confidence intervals, statistical tests (chi-squared, etc) and how to use them.
- Knowledge or experience working within Google Tag Manager or Google Analytics.
- Familiar with the basic fundamentals of data visualization, and at least one data visualization tool or package (Tableau, PowerBI, LookerStudio/Data Studio, Plot.ly, Seaborn, ggplot etc).
- Basic to intermediate skills in Excel: Pivot tables, etc.
Qualifications
- Proactively communicate ideas and opportunities.
- Conduct in-depth analysis to support client recommendations and insights.
- Solid background in measurement and performance analytics.
- Openness to learn and expand skills.
- Strong communication skills, both written and verbal.
- Comfortable working independently.
- Comfortable working in a fast-paced, cross-functional environment.
Preferred, But Not Required:
- Interest or background in machine learning / predictive modelling.
- Knowledge or experience working with Firebase.
- Experience working with scientific polling data—bonus if applicant has experience with large .sav files and either SPSS / pyreadstat.
- Experience with automated data collection (web scraping, APIs).
- Experience writing VBA macros.
- Experienced and comfortable collaborating remotely.