Be ready to go over:

• Funnel analysis – Understanding how users move from awareness to conversion, and identifying where friction occurs in the customer journey.
• A/B testing methodology – Designing statistically sound experiments, determining sample sizes, and interpreting confidence intervals.
• Attribution modeling – Evaluating the strengths and weaknesses of different models to allocate marketing budgets effectively.
• Advanced concepts – Be prepared to discuss predictive modeling for customer churn, media mix modeling (MMM), or multi-touch attribution algorithms if you have experience with them.

Example scenarios:

• "How would you design an analysis to determine if a recent promotional discount actually drove incremental sales or just cannibalized full-price purchases?"
• "Walk me through how you would evaluate the performance of a paid search campaign that has a high click-through rate but a low conversion rate."

Stakeholder Management & Communication

As a Marketing Analytics Specialist, you will act as a consultant to the marketing team. You must prove that you can build trust and communicate complex data insights to colleagues who may not have a technical background.

Be ready to go over:

• Data storytelling – Simplifying complex analytical findings into clear, visual, and actionable narratives.
• Managing conflicting priorities – How you handle situations where different stakeholders request analyses simultaneously.
• Influencing without authority – Using data to persuade decision-makers to change their strategy or try a new approach.

Example scenarios:

• "Describe a time when your data analysis contradicted the gut feeling of a senior marketing manager. How did you present your findings?"
• "How do you gather requirements from marketing stakeholders before building a new dashboard or starting a deep-dive analysis?"

If you join Viasat as a Marketing Analytics Specialist, your daily work will revolve around turning data into strategic marketing decisions. Your primary responsibilities will include:

• Campaign Tracking and Optimization: You will monitor the performance of digital and traditional marketing campaigns across various business units. This involves tracking spend, conversions, and ROI to ensure campaigns are meeting their targets.
• Data Modeling and Reporting: You will design, build, and maintain automated dashboards and reports using tools like Tableau or Power BI. These dashboards will provide real-time visibility into marketing performance for stakeholders at all levels of the company.
• Cross-Functional Collaboration: You will work closely with digital marketing managers, finance teams, and data engineering groups. You will help define data requirements, ensure tracking codes are correctly implemented, and align marketing metrics with overall business financial goals.
• Ad-Hoc Deep Dives: Beyond regular reporting, you will conduct deep-dive analyses to answer specific business questions, such as identifying the characteristics of high-value subscribers or analyzing the long-term impact of a specific promotional offer.

To be competitive for this role at Viasat, you should possess a strong blend of technical skills, analytical thinking, and professional experience.

• Must-have technical skills:

  • Proficiency in SQL for querying and manipulating large datasets.
  • Strong experience with data visualization tools, specifically Tableau or Power BI.
  • Advanced knowledge of Microsoft Excel (vlookups, pivot tables, complex formulas).
  • Experience working with web analytics platforms such as Google Analytics or Adobe Analytics.

• Nice-to-have technical skills:

  • Experience with programming languages like Python or R for advanced statistical analysis.
  • Familiarity with marketing automation platforms (e.g., Marketo, HubSpot) or CRM systems (e.g., Salesforce).
  • Understanding of data warehousing concepts and cloud platforms (e.g., AWS, Snowflake).

• Experience and background:

  • Typically 3+ years of experience in a dedicated marketing analytics, business intelligence, or data analyst role.
  • A proven track record of analyzing digital marketing campaigns (search, social, display, email).
  • Experience working in subscription-based business models, telecommunications, or technology sectors is highly advantageous.

• Soft skills:

  • Exceptional communication and presentation skills.
  • Strong attention to detail and a commitment to data accuracy.
  • A proactive, self-starter attitude with the ability to manage multiple projects in a fast-paced environment.

Q: How difficult is the interview process for this role at Viasat? A: Candidates generally rate the difficulty as average to difficult. The technical requirements (SQL, marketing metrics) are standard, but the rigor of the multi-round panel interviews and the expectation for deep behavioral alignment make the process challenging.

Q: What is the typical timeline from application to offer? A: The timeline can vary significantly. While some candidates complete the process in 4 to 6 weeks, others report that it can take up to 3 months, especially when multiple departments are involved in the final interview stages.

Q: Does Viasat offer hybrid or remote work options for this position? A: Viasat has adopted flexible working models depending on the specific team and location. Many roles in Carlsbad, CA, and other major offices operate on a hybrid schedule, requiring a few days in the office and offering remote flexibility for the rest of the week. Be sure to clarify expectations with your recruiter early in the process.

Q: What makes a candidate stand out during the interviews? A: The most successful candidates are those who do not just talk about data, but talk about business outcomes. Show that you understand how your analysis impacts the bottom line, and demonstrate an ability to communicate complex ideas to non-technical partners.

To give yourself the best possible advantage during your Viasat interviews, keep these practical tips in mind:

• Prepare a story bank: Since you may speak with multiple interviewers who ask similar behavioral questions, prepare 5 or 6 versatile stories using the STAR method that showcase your problem-solving, teamwork, and analytical skills.
• Research Viasat's business units: Understand the difference between their residential satellite internet services, commercial aviation connectivity, and government systems. Showing that you understand their business model will set you apart.

• Be ready for a hard stop: Some interviewers may have back-to-back schedules with strict 30-minute limits. Keep your answers concise and structured to ensure you cover all key points and leave a few minutes for your own questions.
• Ask strategic questions: At the end of your interviews, ask insightful questions that show you are already thinking like a Viasat employee. Ask about their current data infrastructure challenges, how they measure marketing success, or what initiatives the team is focusing on for the upcoming year.

Securing a role as a Marketing Analytics Specialist at Viasat is an exciting opportunity to drive data-informed decisions at a global communications leader. Your ability to analyze complex customer journeys, optimize marketing spend, and communicate key insights will directly contribute to the company's growth and success in connecting the world.

To maximize your chances of success, focus your preparation on mastering core marketing metrics, sharpening your SQL and data visualization skills, and structuring your behavioral stories to highlight collaboration and business impact. Remember to remain patient and professional throughout the interview process, maintaining a positive and consistent narrative across all rounds.

For more detailed interview insights, salary data, and preparation resources, you can explore additional community-sourced guides and company reviews on Dataford. Good luck with your preparation—you have the tools and knowledge to succeed!

The compensation insights above reflect the typical salary ranges and benefits for analytical roles at Viasat. When evaluating an offer, consider the complete package, which often includes base salary, performance bonuses, comprehensive health benefits, and employee stock purchase plans. Use this data to guide your compensation discussions confidently.