Senior Web Analyst (Google Analytics, Ecommerce & Media Attribution)

The Senior Web Analyst position at StraighterLine is designed for data enthusiasts who want to make a real impact in online education. The role focuses on web traffic analysis, user behavior, and optimizing eCommerce performance. With a supportive company culture that values innovation and collaboration, you're not just crunching numbers—you're helping learners succeed!

To thrive as a Senior Web Analyst at StraighterLine, you should have extensive experience with Google Analytics, eCommerce, and media attribution. Proficiency in tools like Google Tag Manager is crucial, as is a solid understanding of digital marketing strategies. Analytical mindset and collaborative spirit pair well with your technical skill set!

As a Senior Web Analyst at StraighterLine, you’ll analyze web traffic and user engagement to generate actionable insights. You’ll develop eCommerce dashboards that track KPIs, manage media attribution systems, and collaborate with various teams to enhance our marketing ROI and user journeys.

At StraighterLine, we believe in lifelong learning! As a Senior Web Analyst, you’ll have access to free courses for yourself and your family members, fostering personal and professional growth. Plus, our team culture champions new ideas and innovative solutions, ensuring you’re always evolving in your career.

As a Senior Web Analyst with StraighterLine, you’ll enjoy generous time off policies, comprehensive medical, dental, and vision insurance, and a 401K plan with a company contribution. We also offer six weeks of paid parental leave and a supportive work-life balance, so you can truly thrive at work and at home.

As a Senior Web Analyst at StraighterLine, you'll engage in projects that involve optimizing media spend, refining marketing strategies, and enhancing digital experiences for our users. Your analytical skills will help drive critical decisions that shape the future of our educational platform.

The Senior Web Analyst position is based in Arlington, VA, and we're looking for candidates who live within a 90-minute radius of this vibrant area. Join us in a location that fosters both career opportunities and a vibrant community, allowing you to thrive both professionally and personally.

In an interview, clarify that you would start by identifying key user metrics like session duration, bounce rates, and conversion paths. Discuss techniques like cohort analysis or segmenting data to understand behavior changes over time. Showcase your familiarity with setting up goals and funnels in Google Analytics to drive your analysis.

When asked about KPIs for eCommerce, mention metrics such as conversion rate, average order value, customer acquisition cost, and return on ad spend. Emphasize the importance of tracking these indicators to evaluate the effectiveness of marketing strategies and optimize revenue.

Explain that ensuring accurate tracking involves periodic audits of your tagging strategies, utilizing tools like Google Tag Manager. Share your experience tagging events and goals, and discuss your approach to testing tracking implementations to ensure they align with your analytics goals.

Outline a past project where your analysis led to significant improvements. Describe the initial findings, how you implemented changes based on data-driven insights, and the positive results, such as increased conversion rates or lower cost per acquisition.

Talk about your experience with different attribution models like last-click, first-click, and linear attribution. Highlight how you would evaluate the effectiveness of various marketing channels and share insights from your data analysis to optimize future marketing spend.

Discuss your commitment to professional development, such as attending webinars, subscribing to industry newsletters, or participating in relevant forums. Mention any certifications or advanced courses you've taken to stay current with the analytics landscape.

Describe your communication strategies and how you tailor your insights for different audiences, such as marketing and product teams. Illustrate an example of a collaborative project and how you ensured diverse perspectives were integrated into the data analysis.

Share specific examples of challenges, such as data discrepancies or misalignment among teams. Discuss the steps you took to address these issues, your problem-solving strategies, and how you ultimately influenced positive changes in the workflow.

Talk about your evaluation process for analytical tools based on project requirements, ease of use, and integration capabilities. Name specific tools you've used and why they stood out, emphasizing your ability to adapt and leverage the right technology for maximum impact.

Illustrate how eCommerce analytics can reveal valuable insights such as customer preferences, shopping patterns, and pain points in the user journey. Emphasize how understanding these behaviors can help optimize marketing strategies and improve overall customer experience.