Senior Marketing Data Analyst
- Success. Our winning team pursues excellence while learning and evolving
- Career growth. We develop industry leading talent because Ross grows when our people grow
- Teamwork. We work together to solve the hard problems and find the right solution
- Our commitment to Diversity, Equity & Inclusion, and our community. We celebrate the backgrounds, identities, and ideas of those who work and shop with us because our differences make us stronger. We strive to be a positive force in our community.
- Support development of key marketing KPIs based on marketing objectives and develop measurement strategies that deliver clear, actionable insights to drive marketing performance.
- Analyze campaign performance and uncover trends across channels including TV, streaming TV and audio, social media, mobile, web, email, and influencer marketing.
- Create summary materials (e.g., Excel reports, dashboards, presentations) that connect findings to broader business goals.
- Anticipate analytical needs and proactively explore opportunities to improve marketing effectiveness, such as identifying new tools and new analysis.
- Design and deliver recurring reports (monthly, quarterly, ad hoc)
- Build and maintain databases to support accurate and timely reporting.
- Maintain and update the biweekly Marketing performance dashboard for the CEO, ensuring clarity and strategic relevance.
- Maintain MMM model inputs and outputs using Excel and internal data systems.
- Collaborate with external consulting partners to troubleshoot data issues and ensure accuracy.
- Analyze model results to generate insights that inform marketing investment decisions.
- Analyze customer data to develop audience segmentations that inform targeted advertising strategies.
- Apply segmentation insights to improve campaign targeting, personalization, and performance.
- Set up and manage customer data transfers between systems.
- Access and extract data from large customer databases using SQL or drag-and-drop query tools.
- Use Brandwatch or other social listening tools to monitor brand sentiment, track campaign performance across social platforms, provide early alerts for potential brand reputation issues, and identify product assortment insights.
- Summarize findings to guide messaging, engagement, and reputation management strategies.
- Partner with cross-functional teams to gather data and align on goals.
- Support project management tasks such as maintaining work plans, taking notes, and documenting next steps.
- Participate in regular meetings and contribute to cross-functional initiatives.
- Identify opportunities to streamline workflows and increase efficiency in reporting and analysis.
- Explore and apply new tools and techniques, such as automation and data visualization.
- Stay current with emerging analytics technologies and best practices.
- Develop a strong understanding of the Ross and dd's businesses and customer segments.
- Learn the roles and strategies of various marketing channels and agency partners.
- Apply business context to ensure insights are relevant and actionable.
- Collaboration
- Leading by Example
- Communicates Effectively
- Ensures Accountability and Execution
- Manages Conflict
- Business Acumen
- Plans, Aligns and Prioritizes
- Organizational Agility
- Analytical Proficiency
- Attention to Detail
- Problem Solving
- Strategic Insight Delivery
- Bachelor's or Master's degree in a quantitative field (e.g., Analytics, Statistics, Economics, Business, Data Science, Management Science, or related field).
- 5 years of experience in marketing analytics, business intelligence, or a related analytical role.
- Strong proficiency in Excel, including pivot tables, lookups/matches, and advanced formulas.
- Excellent attention to detail and a strong drive to ensure data accuracy.
- Data driven approach to solving problems and making decisions.
- Ability to manage multiple projects at once, adapt to changing priorities, and focus on the most important work.
- Strong written and verbal communication skills, with the ability to present complex analysis to both technical and non-technical audiences.
- Demonstrated ability to analyze large datasets and translate findings into actionable insights.
- Comfortable working independently and collaboratively; able to build and maintain strong working relationships across all levels of the organization.
- Experience in retail, marketing, or a consumer-facing industry.
- Familiarity with marketing platforms (e.g., Google Analytics, Meta Business Suite).
- Proficiency working with PowerPoint or Google Slides.
- Familiarity with data analytics tools (e.g., SQL, Python) helpful but not required.
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