Be ready to go over:

• SQL & Data Manipulation – Writing efficient queries to aggregate marketing performance data from multiple schemas.
• Data Visualization – Designing clear, intuitive dashboards in tools like Tableau, Looker, or Power BI that tell a story.
• Tagging & Tracking – Managing UTM parameters, pixel implementations, and conversion APIs to ensure clean data collection.
• Advanced concepts (less common) – Working with data warehouses (e.g., Snowflake, BigQuery) and setting up automated data pipelines for marketing reporting.

Example questions or scenarios:

• "Describe a time when you identified a major data tracking error in a marketing funnel. How did you diagnose it, and what was your solution?"
• "What is your process for gathering requirements from a non-technical marketing manager before building a new performance dashboard?"

Behavioral & Collaborative Alignment

At Skylight, how you work is just as important as what you deliver. This evaluation area focuses on your communication, empathy, and alignment with the company's core value of Care.

Be ready to go over:

• Stakeholder Management – Translating complex analytical findings into simple, actionable business strategies for creative and executive teams.
• Handling Ambiguity – Navigating situations where data is incomplete or contradictory, and making sound recommendations regardless.
• Living the Core Values – Demonstrating empathy, collaboration, and a proactive support system for your colleagues.

Example questions or scenarios:

• "Tell me about a time when you had to deliver bad news to a brand manager about the performance of their favorite campaign. How did you handle the conversation?"
• "Give me an example of a project where you had to collaborate closely with a product team to improve marketing conversion rates."

As a Marketing Analytics Specialist (or Retail Digital Marketing Manager) at Skylight, you will own the end-to-end analytical lifecycle for the marketing department. Your primary responsibility will be to transform raw marketing and retail data into strategic insights that drive profitable customer acquisition and brand growth.

On a daily basis, you will monitor campaign performance across various digital channels, including paid social, search, programmatic, and retail media networks. You will build and maintain robust dashboards that provide real-time visibility into key business metrics like CAC, LTV, ROAS, and market share. Your findings will directly inform budget allocation decisions and campaign optimizations.

Collaboration is a cornerstone of this role. You will act as an internal consultant, partnering with the brand marketing team to evaluate creative performance, the retail sales team to analyze inventory and sell-through data, and the product team to optimize landing pages and user journeys. You will also be responsible for designing and analyzing rigorous marketing experiments, ensuring that every campaign we run contributes to our collective learning.

To be competitive for this position at Skylight, you should bring a strong mix of analytical expertise, digital marketing knowledge, and collaborative soft skills.

• Must-have skills – Strong proficiency in SQL for data extraction and manipulation; hands-on experience with data visualization tools (specifically Tableau or Looker); deep understanding of digital marketing metrics (ROAS, CAC, LTV, CTR, CPM); and experience managing or analyzing retail media networks.
• Nice-to-have skills – Familiarity with Python or R for advanced statistical analysis; experience working with Shopify or similar e-commerce platforms; and knowledge of marketing automation tools and data warehouses like Snowflake.

In terms of background, successful candidates typically possess:

• 3–5+ years of experience in marketing analytics, digital marketing, or business intelligence, preferably within a consumer goods, retail, or DTC environment.
• A proven track record of working with cross-functional teams and translating complex technical data into clear business strategies.
• Excellent communication skills, with the ability to present data-driven narratives to stakeholders at all levels of the organization.

Q: How difficult is the interview process for the Marketing Analytics Specialist role? A: Candidates generally describe the interview process as easy to average in difficulty. The questions tend to be highly practical and surface-level during the initial stages, focusing on your past experience and basic technical familiarity, rather than hyper-complex theoretical testing.

Q: What is the typical timeline from the first interview to an offer? A: The timeline can vary. While some candidates progress through multiple rounds within a few weeks, others have experienced slower communication or delays from the recruiting team. Expect the process to take anywhere from 3 to 6 weeks, and do not hesitate to follow up politely if you experience silence.

Q: What is the working style and culture like at Skylight? A: The team culture is highly collaborative, warm, and supportive. Employees place a strong emphasis on the core value of Care, which translates into a friendly interviewing environment where team members are genuinely interested in your professional growth and personal well-being.

Q: How much preparation time should I dedicate before my interviews? A: Dedicating 1 to 2 weeks of focused preparation is typically sufficient. Focus on structuring your past project experiences using the STAR method (Situation, Task, Action, Result) and ensuring you can confidently explain your technical workflow in SQL and data visualization.

To maximize your chances of success during the Skylight interview process, keep these practical, insider tips in mind:

• Proactively Manage Communication: Because some candidates have reported disjointed communication during the recruitment process, take ownership of your candidacy. Send polite follow-up emails after each round and clarify the next steps before ending each call.
• Showcase Your Omnichannel Expertise: Be ready to talk about both digital (DTC) and physical retail marketing. Highlighting your ability to connect online ad spend to physical retail sales is a major differentiator for this role.
• Emphasize the "Care" Value: Skylight values empathy and collaboration. In your behavioral responses, highlight how you support your teammates, handle disagreements constructively, and keep the end customer's experience at the center of your analytical work.

• Structure Your Analytical Answers: Use a clear framework when answering case-style or optimization questions. State your assumptions clearly, walk through your step-by-step diagnostic process, and explain how you would validate your conclusions.

The Marketing Analytics Specialist role at Skylight is an exceptional opportunity to drive measurable growth at a company that values both data-driven decision-making and a supportive, people-first culture. By bridging the gap between digital marketing campaigns and retail performance, you will have a direct hand in shaping how the brand connects with millions of customers.

As you prepare for your interviews, focus on refining your ability to tell compelling stories with data, proving your technical execution in SQL and visualization tools, and aligning your behavioral examples with Skylight's core values. With focused preparation, you can enter your interviews with the confidence needed to stand out as a top-tier candidate.

To explore more real-world interview insights, community feedback, and preparation resources tailored to analytics roles, visit Dataford.

The salary range for this position is $120,000 -$180,000 USD, reflecting the senior nature of the strategic and analytical responsibilities under the Retail Digital Marketing Manager umbrella. When discussing compensation, be prepared to align your experience level, technical mastery, and past business impact with this competitive range.