Senior Marketing Analyst (Phoenix, AZ or Remote)

To succeed as a Senior Marketing Analyst at Trainual, candidates should ideally have around five years of experience in marketing analytics, particularly within B2B SaaS environments. Key skills include proficiency in SQL, familiarity with HubSpot, and experience with data aggregation and reporting tools like Google Analytics 4. A strong understanding of customer acquisition metrics such as LTV, CAC, and ARPA is also crucial.

A Senior Marketing Analyst at Trainual will focus on transforming large datasets into actionable insights, creating marketing performance dashboards, and managing analytics projects across teams. This role also involves monitoring key performance indicators and synthesizing data trends to enhance customer acquisition strategies and support growth initiatives.

In the role of Senior Marketing Analyst, you will support marketing and growth stakeholders by providing data-driven insights that directly influence decision-making and strategy. By analyzing trends and identifying opportunities throughout the customer lifecycle, you'll help optimize Trainual's marketing efforts and accelerate growth.

A Senior Marketing Analyst at Trainual will use a variety of tools to achieve their goals, including SQL for data manipulation, HubSpot for CRM tracking, Google Analytics 4 for web performance analysis, and various digital advertising platforms. Familiarity with data integration tools like Hightouch and BI tools like Omni will also be beneficial.

Trainual expects candidates for the Senior Marketing Analyst position to have at least five years of experience in a similar marketing analytics role, preferably within B2B SaaS. Candidates should be adept at building and maintaining marketing analytics infrastructure and have a proven track record of deriving insights from complex data sets.

Trainual fosters a collaborative and informal culture where team members are encouraged to share ideas and insights. As a Senior Marketing Analyst, you will work closely with cross-functional teams, including marketing, sales, and finance, making it essential to thrive in a team-oriented environment.

The salary for the Senior Marketing Analyst role at Trainual ranges from $125,000 to $145,000, depending on your relevant experience and skills in the industry. This competitive compensation reflects the value that Trainual places on analytics as a driving force in our growth strategy.

In my approach to data analysis for marketing initiatives, I emphasize clarity and relevance. I start by identifying key business goals and the metrics that align with them. I collect data from multiple sources, clean and shape it to fit analysis needs, and then utilize visualization tools to share insights in easily digestible formats with stakeholders.

Certainly! In a previous role, I identified a significant drop-off in the customer journey during the onboarding process. By analyzing the data, I recommended targeted messaging and adjusted our marketing approach accordingly. This resulted in a 30% increase in retention rates and significantly improved overall marketing performance.

I am highly comfortable using tools like SQL for database queries, HubSpot for customer relationship management, and Google Analytics 4 for web performance tracking. Additionally, I have hands-on experience with data visualization tools and ETL processes, which help in transforming raw data into actionable insights.

I embrace ambiguity as an opportunity to gather more information and clarify objectives. When faced with uncertain parameters, I engage with stakeholders to better understand their goals. I also prioritize hypothesis-driven analysis to explore different scenarios and use insights to guide decision-making.

Throughout my career, I've consistently worked alongside cross-functional teams, collaborating to achieve shared objectives. I prioritize open communication and actively engage stakeholders to ensure that our analytics align with their specific needs, leading to actionable insights that drive success.

To ensure the accuracy of my marketing data, I implement thorough checks and validations at each stage of data collection and analysis. Regular audits of my data sources and transformation processes help identify discrepancies. Engaging with teams responsible for data entry also helps maintain high data integrity.

In my opinion, metrics like Customer Acquisition Cost (CAC), Lifetime Value (LTV), and Net Revenue Retention (NRR) are pivotal in understanding overall marketing effectiveness. By analyzing these metrics closely, businesses can maximize their return on marketing investment and tailor their strategies effectively.

I have extensive experience in setting up and analyzing A/B tests for various marketing campaigns. This includes defining clear objectives, segmenting audiences, and ensuring statistically significant results. Post-testing, I interpret data to derive insights and make informed recommendations on optimizing marketing strategies.

When receiving feedback from stakeholders, I always remain open and receptive. I view feedback as an opportunity for improvement and actively seek clarification to understand their perspective. This collaborative spirit allows me to refine my analyses and deliver results that truly meet their needs.

To effectively present complex data findings to non-technical stakeholders, I focus on using clear visuals and plain language. I avoid jargon and instead relate data insights back to business objectives. By telling a compelling story with the data, I ensure my findings resonate with all audience members.