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.
Why join us:Culture: Join a supportive and inclusive work environment where collaboration, respect, and open communication are at the core of everything we do.
Competitive Compensation: We offer highly competitive compensation and a total rewards package, ensuring that your hard work and dedication are recognized and rewarded accordingly.
Flexibility: We understand the importance of work-life balance and offer various flexible schedules to help you manage your personal and professional commitments effectively.
Technology: Work with state-of-the-art tools and technologies that empower you to excel in your role and stay at the forefront of industry trends.
Employee Assistance Programs: We care about you! You and your family will have access to LYRA, an industry leading platform that provides comprehensive support and a myriad of resources to help support your physical, mental, financial and social well-being.
Opportunity: A continuous focus on professional development with many opportunities for training & career growth.
Safety Focused: We care about you and have developed a 24/7 safety mindset that is showcased throughout every facet of the organization. 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.
- 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 (minimum 3 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
- Legal Authorization to work in the US is required. We will not sponsor individuals for employment visas now or in the future for this job opening.
- 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.
#LPUS2
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