Decision Strategy Designer

As a Decision Strategy Designer at Satori Analytics, your responsibilities will include designing campaign workflows, developing personalized customer interactions, analyzing customer behavior to propose next best action strategies, and optimizing campaign decisioning through simulations and A/B testing. Collaboration with cross-functional teams to align strategies with business goals and monitoring campaign performance will also be key parts of your role.

The ideal candidate for the Decision Strategy Designer position should have 1-2 years of experience in data-related roles, ideally with a focus on campaign design or analytics. Proficiency in SQL, SPSS, or Python is essential, and familiarity with Adobe Analytics is considered a plus. Strong analytical thinking, excellent communication skills, and the ability to work collaboratively are also essential qualifications.

In the role of Decision Strategy Designer at Satori Analytics, you would be expected to utilize various analytical tools such as SQL for querying databases, SPSS for statistical analysis, or Python for data manipulation and coding. Knowledge of Adobe Analytics will give you an additional edge in tracking campaign performance and customer insights.

At Satori Analytics, we foster a vibrant and collaborative work environment where innovation thrives. As a Decision Strategy Designer, you can choose to work from our Athens office or enjoy the flexibility of remote work anywhere within the European Economic Area or the UK. Our team, comprised of diverse tech specialists, promotes an atmosphere of continuous learning and support.

As a Decision Strategy Designer at Satori Analytics, you will have numerous opportunities for career advancement. We provide a training budget for skill development with top tech partners, enabling you to gain certifications and enhance your expertise. The collaborative nature of our team also allows for mentorship and learning from experienced colleagues, paving the way for your professional growth.

To design a campaign workflow for a new product launch, I would first conduct thorough market research to understand the target audience and their preferences. I would then outline the key steps in the workflow, such as customer segmentation, messaging strategies, and channels for communication. Collaborating with cross-functional teams will also be crucial to align our campaign goals with broader business objectives.

In a previous role, I analyzed customer engagement data to identify trends and behaviors that led to improved performance in marketing campaigns. I utilized A/B testing to compare different messaging strategies, ultimately refining our approach based on significant findings that resulted in increased conversion rates.

Key metrics to evaluate campaign success include conversion rates, click-through rates, customer engagement levels, and overall return on investment (ROI). I would also look at customer feedback and retention rates to get a comprehensive view of the campaign's impact and areas for further improvement.

To ensure alignment with business objectives, I prioritize open communication with stakeholders across departments. Regular meetings to share insights, understand business goals, and adjust strategies accordingly are vital. This collaborative approach helps in creating campaigns that not only resonate with customers but also support the company’s mission and financial targets.

A/B testing is a critical component of my decision-making process because it allows for real-time validation of hypotheses. By systematically testing variations of campaign elements, I can analyze performance differences and make data-driven decisions that enhance effectiveness, thereby refining our strategies based on solid evidence.

I actively engage in professional networks, attend industry conferences, and participate in webinars to stay informed about the latest trends in data analytics. Additionally, I follow relevant blogs and subscribe to newsletters to receive insights from experts, which I then incorporate into my strategies for continuous improvement.

When faced with challenges in campaign performance, I take an analytical approach to identify the root causes by examining data and feedback. I then collaborate with the team to brainstorm solutions and quickly test adjustments to pivot our strategy. Flexibility and a focus on learning are keys to overcoming setbacks.

I have extensive experience using SQL for database querying and data extraction, as well as SPSS for conducting statistical analysis. I am also familiar with Python for data manipulation and have worked with visualization tools to present findings clearly. These tools have been instrumental in guiding my strategic decisions.

In a recent project, I collaborated with marketing and sales teams to align our customer insights with target messaging. By sharing data analysis results, we were able to create a campaign that effectively addressed customer pain points, leading to improved engagement and a measurable increase in sales.

I believe that strong analytical skills are the most important for a Decision Strategy Designer. The ability to interpret data, extract valuable insights, and transform them into actionable strategies is crucial in making informed decisions that enhance campaign effectiveness and customer interactions.