Product Manager (Marketing Analytics)

The Product Manager (Marketing Analytics) at Oowlish is responsible for developing and executing the product vision, strategy, and roadmap tailored for marketing analytics and BI products. They will collaborate with engineering, data science, and marketing teams to drive product development, define and track KPIs, and ensure seamless API integrations between analytics platforms and business systems.

Candidates for the Product Manager (Marketing Analytics) role at Oowlish should possess over 5 years of experience in Product Management within a SaaS or Data Analytics environment. Furthermore, applicants should have proven expertise in building and launching data-driven products, a strong understanding of marketing analytics, and proficiency in visualization tools like Power BI and Tableau.

For the Product Manager (Marketing Analytics) position at Oowlish, applicants should ideally have extensive experience in marketing analytics and BI, specifically with hands-on experience using data visualization tools such as Power BI or Tableau, as well as expertise in API integrations. This experience greatly aids in developing actionable insights and strategies.

At Oowlish, we are dedicated to supporting the professional growth of our Product Manager (Marketing Analytics) through structured career plans that allow for extensive growth opportunities within the company. This includes mentorship programs, access to training resources, and exposure to international projects that enhance your skills and insights.

Oowlish offers a flexible remote work environment for the Product Manager (Marketing Analytics) that allows for an optimal work-life balance. With flexible hours, you can plan your work schedule around your personal commitments, all while enjoying the benefits of working from home and participating in exciting company initiatives.

In product management, prioritizing features begins with understanding user needs and business goals. I employ frameworks like the MoSCoW method or the RICE scoring model to assess potential impact and feasibility. Engaging with stakeholders continuously helps refine priorities based on direct feedback.

Certainly! One impactful product launch was when I led the introduction of a marketing analytics tool. I coordinated cross-functional teams to gather requirements, defined KPIs, and executed a phased rollout strategy, ultimately leading to a 30% increase in customer satisfaction based on post-launch surveys.

When communicating complex data-driven insights, I focus on simplifying the information. I utilize visualization tools like Tableau to create engaging dashboards, and I structure presentations to highlight key takeaways that align directly with our strategic goals, ensuring clarity for both technical and non-technical audiences.

I stay current with marketing analytics trends by following industry blogs, participating in webinars, and attending conferences. Networking with peers also keeps me informed about best practices and emerging tools, which I actively incorporate into our product strategies.

I view feedback from key stakeholders as a valuable tool for improving product outcomes. My approach involves actively listening, acknowledging their concerns, and engaging in collaborative discussions to align on expectations. This helps in prioritizing necessary changes while maintaining the overall product vision.

Success for a product in marketing analytics is defined by achieving high user engagement rates, meeting defined KPIs, and positively impacting clients' decision-making processes. I believe in measuring success through qualitative and quantitative metrics, including user satisfaction, retention rates, and revenue growth.

My approach to API integrations involves thorough planning and collaboration with engineering teams to ensure seamless connectivity between our analytics platforms and business systems. I prioritize documentation and rigorous testing to minimize disruptions while facilitating effective data flow for enhancements.

To foster collaboration between cross-functional teams, I emphasize regular communication through scheduled meetings, shared project management tools, and open feedback channels. Building relationships and utilizing team-building exercises can also enhance rapport and accountability among team members.

I rely on a variety of tools for effective product management, including JIRA for tracking tasks, Confluence for documentation, and analytics platforms like Google Analytics and Power BI for performance insights. These tools facilitate streamlined workflows and informed decision-making.

Ensuring that products meet user needs involves continuous user research, feedback loops, and usability testing. I regularly engage with users through surveys, conduct A/B testing, and analyze user behavior to refine the product and prioritize features that truly add value.