Senior Analytics Engineer

As a Senior Analytics Engineer at Bounteous x Accolite, your primary responsibilities will include supporting project teams with client work, implementing Google Analytics 4 (GA4) properties through Google Tag Manager, conducting QA and testing of GA4 setups, and creating necessary documentation for development teams. You'll also field client requests using Jira Service Management and troubleshoot any data collection issues that arise.

To qualify for the Senior Analytics Engineer role at Bounteous x Accolite, candidates should have a degree in IT or Digital Marketing Analytics, supplemented by internship experience in digital analytics. It's essential to have practical knowledge of Google Analytics 4, tag management systems, and a baseline understanding of HTML and JavaScript. Experience with data visualization tools or BigQuery will be an added advantage.

The Senior Analytics Engineer plays a crucial role in ensuring that clients receive accurate data that informs their digital marketing strategies. By configuring GA4 properties, documenting tracking specifications, and conducting QA, you'll ensure that the data collected is clean and actionable, ultimately driving successful marketing initiatives.

In the Senior Analytics Engineer role at Bounteous x Accolite, you will primarily work with Google Analytics 4, Google Tag Manager, and Jira Service Management. Familiarity with other tag management systems such as Tealium and analytics visualization tools like Tableau or Looker would be beneficial for success in this position.

As a Senior Analytics Engineer at Bounteous x Accolite, you'll find a collaborative and supportive work environment. The culture emphasizes innovation, thought leadership, and personal growth, enabling you to thrive and tackle challenges effectively while contributing to major projects.

When implementing Google Analytics 4, I start by understanding the specific goals of the business and how data will drive decisions. I ensure proper configuration using best practices, develop comprehensive documentation for tracking specifications, and conduct rigorous testing to confirm that data collection is accurate and reliable.

Yes, in a previous role, I encountered discrepancies in data collected from Google Analytics. By analyzing the tagging setup, I identified that the incorrect data layer variables were being pushed to the GA4 property. I rectified the configuration in Google Tag Manager and conducted QA checks to ensure that the data collection was accurate moving forward.

I have extensive experience using Google Tag Manager for deploying GA4. I am skilled in creating tags, triggers, and variables to ensure precise data collection and tracking. My focus is on optimizing the implementation to ensure efficiency and reliability while aligning it with business objectives.

I subscribe to industry newsletters, participate in webinars, and engage with online forums where professionals share their insights. Additionally, I regularly review updates from Google Analytics and attend local meetups to enhance my knowledge and pratique in the field.

To ensure data quality, I employ a QA process that involves thorough testing of implementations, validating data against expected results, and continuous monitoring to catch any anomalies promptly. This could include setting up alerts for tracking unusual spikes or drops in data.

I believe in using relatable analogies and clear, concise language. I would break down complex analytics concepts into simpler terms and use visual aids or dashboards to illustrate the data insights, making it easier for stakeholders to grasp the key points.

I have worked extensively with data visualization tools like Tableau and Looker, creating dashboards that provide meaningful insights from analytics data. My experience includes customizing visualizations to align with business KPIs and ensuring that stakeholders can interpret the data effectively.

One challenge I faced was discrepancies in tracking data between web and app platforms. I conducted a detailed audit of both setups, discovered inconsistencies in event tracking, and-standardized the implementation across platforms to ensure cohesion and accuracy in data reporting.

Collaboration is key. I frequently engage with project managers, developers, and marketers to understand their needs and requirements for data analysis. Regular meetings and open communication ensure that everyone's objectives align, allowing us to work towards a common goal efficiently.

I focus on metrics that align with business objectives, such as conversion rates, user engagement, and funnel drop-off rates. These metrics provide clarity on user behavior, helping to identify areas for optimization and informing data-driven decision-making.