Success at Heidi requires a balance of technical precision and the ability to articulate "why" your findings matter. Preparation should focus on synthesizing your past experiences into clear, results-oriented stories that highlight your analytical impact.

Technical Domain Expertise – We expect you to demonstrate mastery over your toolkit, including SQL, visualization platforms, and statistical software. You should be prepared to discuss the limitations of your methods and how you ensure data integrity in high-stakes environments.

Strategic Problem-Solving – Beyond just "crunching numbers," we look for your ability to frame business problems as analytical questions. You will be evaluated on your ability to break down ambiguous challenges into structured, solvable components.

Stakeholder Influence – As a Marketing Analytics Specialist, your value is amplified by your ability to persuade. You must demonstrate how you communicate technical insights to non-technical partners to drive organizational change.

The interview process at Heidi is designed to be rigorous, focusing on your ability to perform under pressure while maintaining a collaborative spirit. You should expect a sequence that begins with a recruiter screen, followed by a deeper technical assessment, and culminating in a series of onsite or virtual panel interviews. We emphasize transparency and want to ensure you have multiple touchpoints with the team to understand our culture.

The process is intentionally structured to mimic the collaborative nature of our daily work. You will likely meet with members of the marketing, product, and data teams, as we believe cross-functional alignment is the key to success. Expect the pace to be quick, reflecting our company’s culture of agility and high performance.

This timeline illustrates the progression from initial qualification to final behavioral and technical assessment. Use this structure to pace your preparation, ensuring you have enough time to review your technical skills before the deeper functional rounds, while leaving space to reflect on your professional experiences for the leadership segments.

Analytical Rigor

We evaluate your ability to produce accurate, reproducible, and insightful work. You must demonstrate that you understand the underlying mechanics of your data, not just the outputs of a dashboard tool.

Be ready to go over:

• Data Integrity – Ensuring the accuracy of data pipelines and tracking.
• Statistical Significance – Understanding when a result is actionable versus when it is noise.
• Attribution Modeling – Assessing the effectiveness of different marketing touchpoints.

Example scenarios:

• "Walk me through how you would audit a dashboard that is showing inconsistent metrics."
• "How do you handle missing data in a critical marketing report?"

Strategic Communication

Your ability to tell a story with data is what differentiates a specialist from a analyst. We look for candidates who can translate technical complexity into clear, actionable business recommendations.

Be ready to go over:

• Stakeholder Management – Tailoring your communication for different audiences.
• Data Visualization – Choosing the right format to convey a specific insight.
• Narrative Building – Connecting data points to the broader business strategy.

Example scenarios:

• "How do you present bad news or underperforming metrics to leadership?"
• "Describe a time you convinced a stakeholder to change their strategy based on your data."

As a Marketing Analytics Specialist, your primary responsibility is to serve as the analytical engine for the marketing team. You will own the end-to-end process of tracking campaign performance, from setting up the initial instrumentation to delivering the final performance readouts. You will work closely with the product team to ensure that marketing efforts are aligned with the product roadmap and that user acquisition data is correctly fed back into our product development cycle.

You will also be responsible for maintaining the "single source of truth" for marketing performance at Heidi. This involves managing our reporting infrastructure, identifying gaps in our current tracking capabilities, and proactively suggesting improvements to our data stack. You will often act as the point person for ad-hoc requests, requiring you to balance long-term project work with the immediate, fast-paced needs of the marketing team.

We are looking for candidates who possess a blend of technical proficiency and business intuition. While we value diverse backgrounds, the following are essential for success in this role at Heidi.

Must-have skills:

• Proficiency in SQL for complex data extraction and manipulation.
• Experience with BI tools such as Tableau, Looker, or similar platforms.
• Strong understanding of marketing attribution and funnel analysis.
• Proven ability to manage projects across cross-functional teams.

Nice-to-have skills:

• Proficiency in Python or R for advanced statistical modeling.
• Prior experience working in a SaaS or high-growth consumer tech environment.
• Familiarity with marketing automation platforms and CRM integrations.

Q: How long does the interview process typically take? The entire process from initial screen to offer usually spans 3 to 5 weeks, depending on team availability and scheduling.

Q: Is there a coding or take-home assignment? Yes, most candidates will participate in a technical assessment or a case study designed to test your analytical thinking and ability to work with data.

Q: What is the most important quality for success at Heidi? We value "intellectual humility"—the ability to be data-driven, admit when you don't know an answer, and collaborate across teams to find the truth.

Q: Are there opportunities for remote work? Our roles are designed for collaboration; please check the specific job posting for current location requirements, as we often lean toward hybrid models to foster team synergy.

• Contextualize your results: Always mention the business impact of your work. Don't just say you "built a dashboard"; say you "built a dashboard that reduced reporting time by 20% and helped the team identify a 5% increase in conversion."
• Know the product: Spend time using the Heidi platform before your interview. Understanding the user experience will make your analytical suggestions much more credible.
• Be ready for ambiguity: Many of our interview questions are intentionally open-ended to see how you structure your thinking. Don't rush to answer; ask clarifying questions first.

The Marketing Analytics Specialist role is a pivotal position that sits at the heart of how Heidi grows. By focusing on your ability to connect rigorous data analysis with clear, strategic communication, you will position yourself as a top-tier candidate. The interview process is designed to be challenging but fair, allowing you to showcase both your technical depth and your ability to drive business outcomes.

Prepare by reviewing your past projects through the lens of impact, and ensure you are comfortable articulating your technical choices. We encourage you to approach each interview as a collaborative conversation rather than an interrogation. You have the skills and the experience to excel here; focus on clarity, structure, and showing us how you think.

The salary data provided represents the competitive range for this position at Heidi. Use this to understand the market value of the role, but remember that total compensation often includes equity, bonuses, and benefits, which are discussed in later stages of the process. Focus your energy on demonstrating your value during the interviews, as this is the primary driver for final offer negotiation.