Marketing Analyst III

Staples Inc.•Framingham, MA

About The Position

Our marketing team is charged with an important task – sharing our Staples story. We use customer data and analytics to help us understand and improve our customers’ experiences, drive customer retention and encourage brand loyalty. Our team is diverse, with skillsets and responsibilities ranging from graphic design, content creation and performance marketing to internal communications and loyalty & rewards programs. We work together to provide expertise and guidance, so that the Staples brand is well represented in all areas. As a Marketing Analyst III, you will play a critical role in helping Staples make smarter, data-driven marketing decisions. You will partner with business leaders across Marketing, Sales, Merchandising, CRM, and Operations to transform complex business questions into actionable insights that improve customer engagement, campaign effectiveness, and overall business performance.

Requirements

Exceptional analytical and problem-solving skills with the ability to turn ambiguous business questions into actionable solutions.
Strong business acumen and a passion for leveraging data to influence decision-making.
Excellent verbal, written, and presentation skills with the ability to communicate effectively to both technical and non-technical audiences.
Ability to tell compelling stories with data and present insights to senior leadership.
Collaborative mindset with experience building partnerships across cross-functional teams.
Strong attention to detail and commitment to data accuracy and reporting excellence.
Ability to prioritize multiple initiatives and thrive in a fast-paced environment.
Self-motivated, curious, and driven to continuously improve processes and outcomes.
Bachelor's degree in Analytics, Statistics, Mathematics, Economics, Marketing, Computer Science, or a related quantitative field.
5+ years of experience in marketing, customer, business, or marketing analytics, including hands-on experience with analytical tools such as SQL, Python, or similar technologies.
Strong understanding of marketing measurement, customer analytics, campaign analysis, and experimental design.
Experience with large-scale datasets, relational databases, data warehouses, and advanced SQL.
Proficiency in Python, Microsoft Excel, and BI tools such as Power BI for analytics, automation, reporting, and visualization.

Nice To Haves

Master's degree in Marketing Analytics, Data Science, or a related discipline.
Experience supporting B2B marketing, customer lifecycle marketing, CRM, or Account-Based Marketing (ABM) initiatives.
Experience working with Customer Data Platform (CDP) solutions.
Familiarity with email and direct mail marketing operations and performance measurement.
Experience with Azure Databricks, Snowflake, Git, or other cloud-based analytics platforms.
Knowledge of statistical modeling, predictive analytics, customer segmentation, and marketing attribution methodologies.
Experience developing automated reporting and workflow automation solutions.
Ability to leverage AI tools to enhance analytics, reporting, and business insights.

Responsibilities

Lead the measurement and optimization of marketing campaigns from test design through analysis and recommendations.
Design and evaluate A/B and multivariate tests to measure incremental impact and improve marketing effectiveness.
Analyze large and complex datasets to uncover trends, quantify business impact, and identify growth opportunities.
Develop, automate, and maintain dashboards and reporting solutions that provide actionable business insights.
Build scalable data processes and automation solutions that improve efficiency, data quality, and reporting accuracy.
Create measurement frameworks to assess marketing performance and customer behavior across channels.
Conduct customer segmentation, profiling, and campaign performance analyses to support strategic business objectives.
Translate analytical findings into compelling stories and executive-level recommendations.
Support data governance, user acceptance testing (UAT), and validation efforts to ensure data accuracy and integrity.
Identify and implement process improvements that advance the organization's analytics capabilities.