Senior Marketing Analytics Strategist

Nestlé; Arlington (VA); On-site; USD 100,000 - 125,000; Full time

Benefits offered by this job

401k with company match

Healthcare coverage

Performance incentives

Comprehensive benefits

Job summary

Nestlé USA is seeking a Senior Analyst Marketing Analytics to provide timely, unbiased insights that inform marketing strategy and allocation decisions. The role analyzes data from syndicated and custom sources to diagnose performance and advise actions across sales, marketing, and finance teams.

The ideal candidate has 3–5 years in marketing analytics, with proficiency in Excel, SQL, Tableau and Python, and familiarity with data visualization tools like Power BI.

Qualifications

• 3–5 years of proven experience in marketing analytics, data analysis, marketing research, or related field.
• Ability to interpret complex data sets and drill down to what matters.
• Experience with syndicated data tools (Circana, NielsenIQ, Numerator, 84.51, Luminate) is a plus.

Responsibilities

• Conduct analyses of business performance and sales drivers.
• Evaluate marketing performance and support budget allocation via marketing mix modeling.
• Size future category growth by analyzing trends and consumer behavior.
• Identify headwinds and tailwinds from macroenvironmental forces.
• Perform ad-hoc analyses to support decision-making.
• Collaborate with sales, marketing, finance, and insights teams.
• Present findings to stakeholders clearly and actionable.
• Champion Marketing Analytics and identify opportunities to enhance capabilities.

Skills

Excel

SQL

Tableau

Python

R

Power BI

Data analysis

Education

Bachelor's degree

Master's degree

Tools

Circana

NielsenIQ

Numerator

84.51

Luminate

Excel

SQL

Tableau

Python

Job description

Nestlé USA is seeking a Senior Analyst Marketing Analytics to provide timely, unbiased insights that inform marketing strategy and allocation decisions. The role analyzes data from syndicated and custom sources to diagnose performance and advise actions across sales, marketing, and finance teams.

The ideal candidate has 3–5 years in marketing analytics, with proficiency in Excel, SQL, Tableau and Python, and familiarity with data visualization tools like Power BI.