Senior Analyst, Marketing Data Operations

As a Senior Analyst in Marketing Data Operations at Saks Global, you will manage CRM and personalization initiatives, design and evaluate A/B tests for marketing campaigns, and collaborate with the data science team to integrate machine learning models into customer-facing strategies. Your role also involves improving automated marketing efficiency and conducting ad-hoc analytics to support stakeholder decision-making.

To be considered for the Senior Analyst position in Marketing Data Operations at Saks Global, you should hold a Bachelor’s degree in a quantitative field such as Economics or Statistics, with 1-2 years of experience in marketing analytics or data science. Proficiency in SQL and Python, along with experience managing large datasets and a good grasp of statistical methods, are vital for success in this role.

A Senior Analyst in Marketing Data Operations at Saks Global should be proficient in SQL, Python, or Pyspark, and have familiarity with tools like Airflow and Snowflake. Knowledge of GitHub and experience in managing data-driven marketing campaigns are also crucial for optimizing our operational processes.

Saks Global promotes a work culture that emphasizes healthy work-life balance and offers rewarding career advancement opportunities. As a Senior Analyst, you will find an inclusive environment that values diversity and encourages collaboration, ensuring that you have a fulfilling experience while contributing to our marketing initiatives.

Saks Global is committed to the growth of its employees, including Senior Analysts in Marketing Data Operations. The company offers various training programs and fosters an environment where continuous learning is encouraged, helping you enhance your skills and advance your career within the organization.

When answering this question, detail your approach to designing A/B tests, including how you define success metrics, select samples, and interpret data. Discuss any specific examples from past experiences where your testing led to significant improvements in campaign performance.

It's crucial to demonstrate your ability to manage multiple projects by using frameworks for prioritization, such as the Eisenhower Matrix. Share any specific tools or methods you've used to stay organized and focused on high-impact tasks.

Discuss your methodologies for data cleaning and validation, such as addressing missing values or outliers. Describe any tools or systems you leverage to ensure that your data analysis is based on reliable information, reflecting the importance of accuracy in your decision-making.

Highlight your communication skills and give examples of how you engage with cross-functional teams. Stress the importance of aligning marketing goals with data science capabilities, and discuss specific projects where collaboration yielded successful outcomes.

Offer a detailed account of a campaign you worked on, including your role, the data insights you uncovered, and how those insights led to adjustments in the campaign strategy. Quantify the results to illustrate the impact of your analysis.

Share your preferred data analysis tools, such as SQL or Python, and justify your choices based on their strengths. Mention any experiences where a particular tool helped you overcome challenges or improve your analytical processes.

Talk about the resources you utilize, such as industry publications, webinars, or professional networks. Describe how you actively seek learning opportunities to apply new methodologies and technologies to your work.

Talk about the importance of transparency in communication and how you would approach sharing your findings. Emphasize the need for discussion and data-driven decision-making, and mention any techniques for presenting challenging insights effectively.

Provide a concrete example of an operational challenge you faced, the steps you took to analyze and address it, and the measurable outcomes that resulted. Highlight your analytical skills and your ability to implement data-driven solutions.

Express your aspirations in the field of marketing analytics, whether it's to take on leadership roles, specialize in certain analytical techniques, or enhance your technical skills. Connecting your goals to the values and growth opportunities at Saks Global will demonstrate your commitment.