Okay, I've searched for Data Driven Marketing Analyst roles in New York, NY, requiring a Bachelor's degree, with Python and SQL skills, 1+ year of experience, and full-time positions. I have found 72 positions for you.

Sure. Here's the analysis:

Job Analysis:

The Data Driven Marketing Analyst 1 - Performance Optimization role is fundamentally designed to translate complex, large-scale datasets into actionable marketing insights that drive campaign performance improvements. This position requires a strong foundation in data ingestion, cleansing, and performance attribution using programming languages such as Python, Java, and SQL. The primary responsibility is to analyze marketing campaign data, develop clear and compelling visual reports via tools like Power BI, Tableau, and Excel, and collaborate effectively with both technical and non-technical stakeholders. The job demands not only proficiency in data manipulation and visualization but also the ability to communicate complex analytical results in an accessible way, emphasizing the need for strong oral and written communication skills. Candidates face the challenge of handling large, varied data sets and must prioritize multiple projects simultaneously, reflecting a dynamic team environment focused on continuous campaign optimization. Success will be measured in the analyst's ability to accurately identify marketing responders, provide timely insights, and support data-driven decisions that increase client market share and campaign effectiveness. The candidate’s educational background in quantitative disciplines supports rigorous statistical analysis, while their programming and data visualization expertise enable them to translate data into growth-driving actions.

Company Analysis:

Deluxe Corporation operates as a long-established, trusted payments and data solutions provider that serves a diverse, large-scale clientele including millions of small businesses and thousands of financial institutions. With a century-long heritage and a significant presence in the fintech and marketing analytics space, Deluxe positions itself as a foundational partner facilitating business growth and operational efficiency for its customers. Its culture likely balances stability and innovation, driven by a mission to support clients at all lifecycle stages with scalable, tech-enabled services. The company’s strong emphasis on trusted partnerships and comprehensive solutions suggests an environment that values precision, reliability, and customer-centric innovation. For someone in the Performance Optimization team, this means working in a data-rich, mission-critical context, where analytics impact not just marketing effectiveness, but the broader business health of Deluxe’s clients. The role’s placement within the Performance Optimization team — a function that bridges data science, marketing, and client service — indicates moderate visibility with leadership and requires balancing technical execution with strategic insight to further Deluxe’s growth and competitive differentiation. This is a strategic hire to enhance Deluxe's data-driven marketing capabilities while sustaining their reputation as an analytical leader in the FMCG and financial services sectors.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to explain complex analytical findings to a non-technical audience. How did you ensure understanding?
• Behavioral: Describe an instance when you managed multiple data projects simultaneously. How did you prioritize your tasks and ensure timely delivery?
• Behavioral: Share an experience where your attention to detail prevented a potentially costly error in a data analysis project.
• Behavioral: Tell me about a time you collaborated with cross-functional teams to improve a marketing campaign based on data insights.
• Technical: How would you approach ingesting and cleaning a large semi-structured dataset using Python and SQL?
• Technical: Can you walk me through how you would design and execute performance attribution for a marketing campaign?
• Technical: What are some key considerations when developing a dashboard for marketing performance using Power BI or Tableau?
• Technical: Describe your experience with programming languages, specifically Python and Java, in marketing data analytics projects.
• Situational: Imagine you encounter conflicting data points from different sources during campaign analysis. How do you resolve the inconsistency?
• Situational: If a marketing campaign’s attribution results suggest underperformance, how would you communicate this to stakeholders, and what steps would you recommend?
• Situational: Suppose you are given limited time to produce a critical performance report. How would you balance accuracy and timely delivery?
• Company Fit: Why are you interested in working at Deluxe Corporation and contributing to the Performance Optimization team?
• Company Fit: How does your experience and approach to data-driven marketing align with Deluxe’s mission to support small businesses and financial institutions?
• Company Fit: Deluxe emphasizes building trusted and long-term client relationships. How would you use your analytics skills to support this culture?
• Questions for Interviewer: How does the Performance Optimization team collaborate with other departments within Deluxe, such as client services or product development?
• Questions for Interviewer: What are the most significant challenges your analysts face when working with large-scale marketing data at Deluxe?
• Questions for Interviewer: How does Deluxe support continuous learning and professional growth for analysts in emerging tools and technologies?