Marketing Data Science Specialist

Superior Propane is looking for an experienced Marketing Data Science Specialist with a strong career focus on data-driven problem-solving and collaboration. In this role (with room to grow), you’ll spend about 80% of your time working hands-on with data—designing and applying advanced analytics, AI, and predictive modeling to unearth insights for our marketing and customer-centric strategies. The remaining 20% will focus on stakeholder engagement: presenting clear, direct findings to various departments, directors, and occasionally senior leadership. If you thrive on detailed execution, can pivot quickly to solve real business problems, and enjoy guiding decision-makers with strategic storytelling, this could be your ideal fit.

What you’ll do:

• Advanced Analytics Projects: Lead at least one advanced analytics initiative in your first 6–12 months, applying predictive models or AI techniques to drive immediate, actionable insights.
• Business Collaboration & Awareness: Partner closely with various stakeholders (Marketing, BI, IS), and other cross-functional groups to understand business challenges and uncover data-driven solutions.
• Data Storytelling & Presentation: Transform complex analyses into compelling, concise narratives for both technical and non-technical audiences. Communicate results directly focusing on outcomes over process.
• Customer Sentiment & Retention Insights: Own or influence metrics around customer sentiment, retention, and marketing strategy (e.g., segmentation, sentiment analysis, profile building).
• Test-and-Learn Environment: Embrace a “problem solver” mindset: run experiments, refine approaches, and continually enhance business impact through iterative learning.
• Process Expertise & Execution: Employ established analytics processes (data ingestion, cleaning, modeling) to efficiently deliver results while maintaining high data quality.
• NA Collaboration: Operate effectively with a geographically dispersed team; coordinating project timelines, sharing updates, and ensuring all stakeholders remain engaged and informed.

What you bring:

• A bachelor’s degree (or demonstrated hands on experience) in Data Science, Statistics, Social Sciences, Computer Science, Marketing, or a related field is preferred.
• Professional courses or certification in advanced analytics, marketing analytics, or AI/ML tools would be an asset
• Solid experience (more than 5 years) working with analytics or big data, particularly around customer behavior, segmentation, or strategic marketing.
• Proficiency in programming languages including SAS, Python, R, and/or SQL and data visualization tools such as Power BI, Tableau or Looker.
• Familiarity with AI tools and the application of machine learning models (without needing to engineer deep ML solutions from scratch).
• Ability to roll up your sleeves to handle data end-to-end, with the abilty to see the bigger picture purpose and scope of the project, and craft a strategic approach.
• Curious and adept at quickly diagnosing business needs, using data creatively, and delivering immediate results.
• Skilled at presenting outcomes in a straightforward, direct manner, making complex analytics understandable to non-technical colleagues.
• Enjoy working with various teams (Marketing, BI, IS, Finance, Sales) to refine processes, spark innovation, and achieve mutual shared goals.
• Organized, self-driven, and comfortable collaborating with stakeholders virtually.

Why Join Us?

• Immediate Impact: Contribute to high-visibility analytics initiatives that directly influence customer sentiment, retention, and strategic marketing.
• Growth Potential: As a mid-level role, this position offers the chance to evolve your career path, refine your skill set, and establish yourself as a leader in analytics-driven marketing.
• Collaborative Culture: You’ll work cross-functionally with talented peers, refining ideas in a test-and-learn environment that values experimentation and swift problem-solving.